New York Research: Projects, Research Publications, Presentations, Thesis and Dissertations, Technical Publications

New York Research Activities

Research conducted by the New York Unit helps to inform management of wild turkey.

Projects

Research Publications

Research Publications	Publication Date
Zhao, Q., A.K. Fuller, and J.A. Royle. 2022. Spatial dynamic N-mixture models with interspecific interactions. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13936	July 2022
Y. Yang, J. Zhenong, N. D. Mueller, R. R. Hernandez, S. M. Grodsky, L. Sloat, M. Chester, Y. G. Zhu, and D. Lobell. 2022. Climate feedbacks from irrigation inform sustainable adaptation. Nature Food.	September 2023
Xue, Y, X. Wu, D. Morin, B. Dilkina, A. Fuller, J. Royle and C. Gomes. 2017. Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. Association for the Advancement of Artificial Intelligence.	January 2017
Wu, D., Grodsky, S.M., Xu, W., Liu, N., Almeida, R.M., Zhou, L., Miller, L.M., Roy, S.B., Xia, G., Agrawal, A.A., Houlton, B.Z., Flecker, A.S. and Xu, X. (2023). Observed impacts of large wind farms on grassland carbon cycling. Science Bulletin, 68(23), pp.2889–2892. doi:https://doi.org/10.1016/j.scib.2023.10.016.	July 2023
Wu X, Gomes-Selman J, Shi Q, Yexiang Xue, Garcia R, Anderson E, Sethi SA, Steinschneider S, Flecker A, Gomes C. (2018) Efficiently approximating the pareto frontier: hydropower dam placement in the Amazon basin. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. \| Abstract	March 2018	Real–world problems are often not fully characterized by a single optimal solution, as they frequently involve multiple competing objectives; it is therefore important to identify the so-called Pareto frontier, which captures solution trade-offs. We propose a fully polynomial-time approximation scheme based on Dynamic Programming (DP) for computing a polynomially succinct curve that approximates the Pareto frontier to within an arbitrarily small > 0 on treestructured networks. Given a set of objectives, our approximation scheme runs in time polynomial in the size of the instance and 1=. We also propose a Mixed Integer Programming (MIP) scheme to approximate the Pareto frontier. The DP and MIP Pareto frontier approaches have complementary strengths and are surprisingly effective. We provide empirical results showing that our methods outperform other approaches in efficiency and accuracy. Our work is motivated by a problem in computational sustainability concerning the proliferation of hydropower dams throughout the Amazon basin. Our goal is to support decision-makers in evaluating impacted ecosystem services on the full scale of the Amazon basin. Our work is general and can be applied to approximate the Pareto frontier of a variety of multiobjective problems on tree-structured networks.
Wong, A., Fuller, A. and Royle, J.A. (2018). Adaptive Sampling for Spatial Capture-Recapture: An efficient sampling scheme for rare or patchily distributed species. bioRxiv (Cold Spring Harbor Laboratory). doi:https://doi.org/10.1101/357459. ‌	June 2018
Wolf N, Harris B, Richard N, Sethi SA, Lomac-MacNair K, Parker L. (2018) High-frequency aerial surveys inform the seasonal distribution of Cook Inlet beluga whales. Wildlife Society Bulletin 42:577-586.	October 2018
Walsh P, Sethi SA, Lake B, Mangipane B, Nielson R, Lowe S. (2016) Estimating denning date of wolves with daily movement and GPS location fix failure. Wildlife Society Bulletin. Wildlife Society Bulletin 40:663-668. DOI: 10.1002/wsb.703 \| Abstract	December 2016	We used Global Positioning System (GPS) radiotelemetry data from 7 breeding female wolves (Canis lupus; n = 14 dennings) in 3 regions across Alaska, USA, during 2008–2011 to develop and compare methods for estimating the onset of denning, and thus infer timing of parturition. We developed and tested 2 estimators based on a combination of GPS radiocollar location-fix failure and distance traveled between locations. We developed a quantitative method employing Generalized Additive Models to smooth time series of wolf data to estimate denning onset. In contrast, 3 study authors with first-hand experience with the study wolves implemented a subjective method of estimating denning onset by visual inspection of detection and distance traveled data. We then tested the visual method for repeatability by subjecting it to 10 wolf experts not associated with this study. Side-by-side comparison of estimators indicates that denning onset can be precisely measured using GPS detection success and distance traveled. Furthermore, the visual-inspection method was simple and rapid to implement and yielded more accurate (relative to assumed onset dates of denning-onset dates) and precise results compared to the quantitative estimator. Although the Generalized Additive Model based approach had the advantage of estimating denning onset objectively following a set of prescribed rules in a statistical inferential framework, we found the method required significant technical capacity to implement and did not represent an improvement over simple visual-inspection–based estimates of denning onset.
Wade, M., K. Moore-O'Leary, S. M. Grodsky, and M. Meek. 2022. Of Mojave milkweed and mirrors: The population genomics of a species impacted by solar energy planning. Conservation Science and Practice.	June 2023
U.S. Fish and Wildlife Service. (2016) Conservation Framework for Yukon River Chinook Salmon (Oncorhynchus tshawytscha). U.S. Fish and Wildlife Service Technical Report, Anchorage, AK, U.S.A., 112 pp.	May 2016
Twining, J.P., V.L. Springer, E.G. Cooch, and A.K. Fuller. Landscape-scale drivers of tayra abundance in the Ecuadorian Andes. Biodiversity and Conservation.https://doi.org/10.1007/s10531-023-02636-5	June 2023
Twining, J.P., J.L. Brazeal, P.G. Jensen, and A.K. Fuller. 2024. Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: co-occurrence of coyotes-fishers-martens. Oikos. https://doi.org/10.1111/oik.10577	March 2024
Twining, J.P., Fuller, A.K., Sun, C.C., Calderon-Acevedo, C., Schlesinger, M.D., Berger, M., Kramer, D., Frair, J.L. 2024. Integrating presence-only and detection/non-detection data to estimate distributions and expected abundance of difficult-to-monitor species on a landscape-scale. Journal of Applied Ecology. DOI: 10.1111/1365-2664.14633	March 2024
Twining, J.P., D. Kramer, K.A. Perkins, and A.K. Fuller. 2024. Landscape-scale population trends in the occurrence and abundance of wildlife populations using long term camera-trapping data. Biological Conservation.	January 2024
Twining, J.P., Augustine, B.C., Royle, J.A. and Fuller, A.K. (2024). Abundance‐mediated species interactions. Ecology. doi:https://doi.org/10.1002/ecy.4468. ‌ \| Abstract	August 2024	Species interactions shape biodiversity patterns, community assemblage, and the dynamics of wildlife populations. Ecological theory posits that the strength of interspecific interactions is fundamentally underpinned by the population sizes of the involved species. Nonetheless, prevalent approaches for modelling species interactions predominantly centre around occupancy states. Here, we use simulations to illuminate the inadequacies of modelling species interactions solely as a function of occupancy, as is common practice in ecology. We demonstrate erroneous inference into species interactions due to bias in parameter estimates when considering species occupancy alone. To address this critical issue, we propose, develop, and demonstrate an occupancy-abundance model designed explicitly for modelling abundance-mediated species interactions involving two or more species. We present Markov chain Monte Carlo (MCMC) samplers tailored for diverse ecological scenarios, including intraguild predation, disease or predator mediated competition, and trophic cascades. Illustrating the practical implications of our approach, we compare inference from modelling the interactions in a three-species network involving coyotes<i>, </i>fisher, and American marten in North America as a function of occupancy states, and as a function of abundance. When modelling interactions as a function of abundance rather than occupancy, we uncover previously unidentified interactions. Our study emphasizes that accounting for abundance-mediated interactions rather than simple co-occurrence patterns can fundamentally alter our comprehension of system dynamics. Through an empirical case study and comprehensive simulations, we demonstrate the importance of accounting for abundance when modelling species interactions, and we present a statistical framework equipped with MCMC samplers to achieve this paradigm shift in ecological research.
Twining, J.P. C. Sutherland, A. Zalewski, M.V. Cove, J. Birks, O.R. Weaarn, J. Haysom, A. Wereszcuk, E. Manzo, P. Bartolommei, A. Mortelliti, B. Evans, B.D. Gerber, T.J. McGreevy, L.S. Ganoe, J. Masseloux, A. Mayer, I. Wierzbowska, J. Loch, J. Akins, D. Frummey, W. McShea, R. Kays, S. Manke, L. Pardo, A. Boyce. S. Li, R.B. Ragai, A.J.V. Trujiilo, C. Lopez-Gonzalez, N. Lara-Diaz, O. Cosby, C. Waggershauser, J. Bamber, F. Stewart, J. Fisher, A.K. Fuller, K. Perkins, and R.A. Powell. Using global remote camera data of a "solitary" species complex to evaluate the drivers of group formation. Proceedings of the National Academy of Sciences. DOI 10.1073/pnas.2312252121 www.pnas.org/doi/10.1073/pnas.2312252121	March 2024
Thompson, L. M., A. J. Lynch, E. A. Beever, A. C. Engman, J. A. Falke, S. T. Jackson, T. J. Krabbenhoft, D. J. Lawrence, D. Limpinsel, R. T. Magill, T. A. Melvin, J. M. Morton, R. A. Newman, J. Peterson, M. T. Porath, F. J. Rahel, S. A. Sethi, J. L. Wilkening. 2021. When is resistance futile? Resisting, accepting, or directing ecosystem transformation. Fisheries. 46:8-21. DOI: 10.1002/fsh.10506	January 2021
Sutherland, C., A.K. Fuller, J.A. Royle, and S. Madden. 2018. Large-scale variation in density of an aquatic ecosystem indicator species. Scientific Reports. DOI:10.1038/s41598-018-26847-x	April 2018
Sutherland, C., A. K. Fuller, and J.A. Royle. 2014. Modeling non-Euclidean movement and landscape connectivity in highly structured ecological networks. Methods in Ecology and Evolution 6: 169–177. doi: 10.1111/2041-210X.12316 \| Abstract	February 2015	Movement is influenced by landscape structure, configuration and geometry, but measuring distance as perceived by animals poses technical and logistical challenges. Instead, movement is typically measured using Euclidean distance, irrespective of location or landscape structure, or is based on arbitrary cost surfaces. A recently proposed extension of spatial capture-recapture (SCR) models resolves this issue using spatial encounter histories of individuals to calculate least-cost paths (ecological distance: Royle et al. 2013) thereby relaxing the Euclidean assumption. We evaluate the consequences of violating the Euclidean distance assumption when estimating abundance in highly structured landscapes, and demonstrate the value of this approach estimating biologically realistic space-use patterns and landscape connectivity. We simulated SCR data in a riparian habitat network, using the ecological distance model under an range of scenarios where space-use in and around the landscape was increasingly associated with water (i.e. increasingly less Euclidean). To assess the influence of miscalculating distance on estimates of population size, we compared the results from the ecological and Euclidean distance models. We then demonstrate that the ecological distance model can be used to estimate home range geometry when space use is not symmetrical. Finally, we provide a method for calculating landscape connectivity based on modelled species-landscape interactions generated from capture-recapture data. Using ecological distance always produced unbiased estimates of abundance. Explicitly modelling the strength of the species-landscape interaction provided a direct measure of landscape connectivity and better characterised true home range geometry. Abundance under the Euclidean distance model was increasingly (negatively) biased as movement was 30 more strongly associated with water and, because home ranges are assumed to be symmetrical, produced poor characterizations of home range geometry and no information about connectivity. The ecological distance SCR model uses spatially indexed capture-recapture data to estimate how activity patters are be influenced by landscape structure. The approach produces 35 unbiased estimates of abundance, but perhaps more importantly, provides biologically realistic representations of home range geometry and direct information about species-landscape interactions. The incorporation of both structural (landscape) and functional (movement) 38 components of connectivity provides a direct measure species-specific landscape connectivity.
Sun, C.C., J.E. Hurst, and A.K. Fuller. 2021. Citizen science data collection for integrated wildlife population analyses. Frontiers in Ecology and Evolution. doi: 10.3389/fevo.2021.682124	June 2021
Sun, C.C., A.K. Fuller, and J.A. Royle. Incorporating citizen science data in spatially explicit integrated population models. Ecology. https://doi.org/10.1002/ecy.2777	July 2019
Sun, C.C., A.K. Fuller, M.P. Hare, and J. Hurst. 2017. Evaluating population expansion of a black bear population using noninvasive, genetic spatial capture-recapture. Journal of Wildlife Management 81: 814–823. doi:10.1002/jwmg.21248	April 2017
Sun, C. C., A. K. Fuller, and J. A. Royle. 2014. Trap configuration and spacing influences parameter estimates in spatial capture-recapture models. PLoS ONE.9(2): e88025. doi:10.1371/journal.pone.0088025 \| Download	February 2014
Stiller, J.C., Siemer, W.F., Perkins, K.A. and Fuller, A.K. (2022). Choosing an optimal duck season: integrating hunter values and duck abundance. Wildlife Society Bulletin, 46(3). doi:https://doi.org/10.1002/wsb.1313. \| Abstract	June 2022	State wildlife agencies have long struggled to identify optimal hunting season dates for migratory game bird species that meet the diverse and often competing interests of stakeholders. Many approaches have been used to ensure the regulated community is involved in the decision-making process, including public hearings, hunter season-date preference surveys, and hunter task forces or committees. Although these approaches include portions of the regulated community (i.e., typically the most avid) they may not necessarily reflect the opinions and values of all stakeholders. Additionally, these approaches rely heavily on limited anecdotal observations that may be unduly influenced by hunter avidity (e.g. days spent afield), hunter density, species preferences, and property access. To address these challenges, we used a structured decision-making framework that included a duck hunter survey to elucidate values of a representative sample of the regulated community in each duck hunting zone in New York State. Rather than asking duck hunters about their specific duck hunting season date preferences, we asked them to rank 6 objectives describing what they value in their hunting experience (e.g., maximizing the opportunity to see mallards [<i>Anas platyrhynchos</i>] and black duck [<i>Anas rubripes</i>], maximizing the number of weekend days, etc.). Four of the 6 objectives described duck species availability (i.e., abundance or immigration). We used spatiotemporal abundance models derived from eBird citizen science data to estimate abundance and immigration rates of ducks in each waterfowl zone. We evaluated up to 9 unique season date alternatives developed by duck hunter task forces to determine which season date alternative best satisfied the competing objectives of duck hunters in each zone. The approach we developed allowed for selection of optimal duck hunting season dates and successfully involved avid duck hunters in the development stages, while ensuring that the values of a representative sample of all stakeholders were directly considered through a clear and transparent decision-making process.
Splinter, D. K., D. C. Dauwalter, R. A. Marston, and W. L. Fisher. 2010. Ecoregions and stream morphology in eastern Oklahoma. Geomorphology 122:117-128. \| Publisher Website	October 2010
Splinter, D. K., D. C. Dauwalter, R. A. Marston, and W. L. Fisher. 2011. Watershed morphology of highland and moutain ecoregions in eastern Oklahoma. The Professional Geographer 63:1-13. \| Abstract	December 2010	The fluvial system represents a nested hierarchy that reflects the relationship among different spatial and temporal scales. Within the hierarchy, larger scale variables influence the characteristics of the next lower nested scale. Ecoregions represent one of the largest scales in the fluvial hierarchy and are defined by recurring patterns of geology, climate, land use, soils, and potential natural vegetation. Watersheds, the next largest scale, are often nested into a single ecoregion and therefore have properties that are indicative of a given ecoregion. Differences in watershed morphology (relief, drainage density, circularity ratio, relief ratio, and ruggedness number) were evaluated among three ecoregions in eastern Oklahoma: Ozark Highlands, Boston Mountains, and OuachitaMountains. These ecoregions were selected because of their high-quality stream resources and diverse aquatic communities and are of special management interest to theOklahomaDepartment of Wildlife Conservation. One hundred thirty-four watersheds in first- through fourth-order streams were compared. Using a nonparametric, two-factor analysis of variance (α = 0.05) we concluded that the relief, drainage density, relief ratio, and ruggedness number all changed among ecoregion and stream order, whereas circularity ratio only changed with stream order. Our study shows that ecoregions can be used as a broad-scale framework for watershedmanagement.
Smeltz TS, Harris B, Olson J, Sethi SA. A seascape scale habitat model to support management of fishing impacts on benthic ecosystems. Canadian Journal of Fisheries and Aquatic Sciences. 76:1836-1844. \| Abstract	September 2019	Minimizing fishing impacts on seafloor ecosystems is a growing focus of ocean management; however, few quantitative tools exist to guide seascape scale habitat management. To meet these needs, we developed a model to assess benthic ecosystem impacts from fishing gear contact. The habitat impacts model is cast in discrete-time and can accommodate overlapping fisheries as well as incorporate gear-specific contact dynamics. We implemented the model in the North Pacific using fishing data from 2003 – 2017, estimating that habitat in 3.1% of the 1.2 million km2 study area was disturbed at the end of the simulation period. A marked decline in habitat disturbance was evident since 2010 attributable to a single regulatory gear change which lifted trawl gear components off the seafloor. Running scenarios without these gear modifications showed these policies may have contributed to a 24% reduction in habitat disturbance since their implementation. Ultimately, model outputs provide direct estimates of the spatial and temporal trends of habitat effects from fishing – a key component of regulatory policies for many of the world’s fisheries.
Siemer, W.F., T. Bruce Lauber, Stedman, R.C., Hurst, J.E., Sun, C.C., Fuller, A.K., Hollingshead, N., Belant, J.L. and Kellner, K.F. (2023). Perception and trust influence acceptance for black bears more than bear density or conflicts. Frontiers in conservation science, 4. doi:https://doi.org/10.3389/fcosc.2023.1041393.	January 2023
Shi, Y., Dick, C.M., Karpan, K., Baetscher, D., Henderson, M.J., Sethi, S.A., McPhee, M.V., Larson, W.A. Towards absolute abundance for conservation applications: estimating the number of contributors via microhaplotype genotyping of mixed-DNA samples. submitted to Molecular Ecology Resources. \| Abstract	May 2023	Molecular methods including metabarcoding and qPCR have shown promises for estimating species abundance by quantifying the concentration of genetic material in field samples. However, the relationship between specimen abundance and detectable concentrations of genetic material is often variable in practice. DNA mixture analysis represents an alternative approach to quantify specimen abundance based on the identity of unique alleles in a sample. The DNA mixture approach provides novel opportunities to inform ecology and conservation by estimating the absolute abundance of target taxa through molecular methods; yet, challenges with genotyping many highly variable markers in mixed-DNA samples have prevented its widespread use. To advance molecular approaches for abundance estimation we explored the utility of microhaplotypes for DNA mixture analysis by applying a 125-marker panel to 1,179 Chinook salmon (<i>Oncorhynchus tshawytscha</i>) smolts from the Sacramento-San Joaquin Delta. We assessed the accuracy of DNA mixture analysis through a combination of mock mixtures containing DNA from up to 20 smolts and a trophic ecological application enumerating smolts in predator diets. Mock DNA mixtures of up to 10 smolts could reliably be resolved using microhaplotypes and increasing the panel size would likely facilitate identification of more individuals. However, while analysis of predator gastrointestinal tract contents indicated DNA mixture analysis could discern the presence of multiple prey items, poor DNA quality prevented accurate genotyping and abundance estimation. Our results indicate that DNA mixture analysis can perform well with high-quality DNA, but methodological improvements in genotyping degraded DNA are necessary before this approach can be used on marginal quality samples.
Shi Q, Garcia R, Flecker A, Sethi SA, Gomes C. (2018) Efficiently optimizing for dendritic connectivity on tree-structured networks in a multi-objective framework. Conference on Computation and Sustainable Society 2018. \| Abstract	July 2018	We provide an exact and approximation algorithm based on dynamic programming and an approximation algo- rithm based on MIP for optimizing for the so-called dendritic connectivity on tree-structured networks in a multi-objective setting. Dentritic connectivity describes the degree of connectedness of a network. We con- sider different variants of dendritic connectivity to cap- ture both network connectivity with respect to long and short-to-middle distances. Our work is motivated by a problem in computational sustainability concerning the evaluation of trade-offs in ecosystem services due to the proliferation of hydropower dams throughout the Ama- zon basin. In particular, we consider trade-offs between energy production and river connectivity. River frag- mentation can dramatically affect fish migrations and other ecosystem services, such a navigation and trans- portation. In the context of river networks, different variants of dendritic connectivity are important to char- acterize the movements of different fish species and hu- man populations. Our approaches are general and can be applied to optimizing for dendritic connectivity for a variety of multi-objective problems on tree-structured networks.
Shashank Poudel, Twining, J.P., Stedman, R.C., Shravan Kumar Ghimire and Fuller, A.K. (2023). Ecological and anthropogenic drivers of leopard (Panthera pardus fusca) attack occurrence on humans in Nepal. People and nature, 5(6), pp.1977–1988. doi:https://doi.org/10.1002/pan3.10536. \| Abstract	August 2023	In Nepal, human-leopard conflict manifests primarily as livestock depredation and attack on humans, creating an important social, ecological, and management issue. In this study, we estimate the probability of leopard attack occurrence on humans and assess the influence of social and environmental variables on these attacks by analyzing reported cases of conflict. The data collected from online news and articles on incidents of leopard attack on humans were used in an occupancy model to evaluate the effect of the proportion of vegetation (forest, shrubs, and bushes), livestock density, and human population density on the probability of attack occurrence on humans. We searched online news reports from 2015-2019 for leopard attacks on humans in 59 districts across Nepal that generated 72 reports of leopard attacks (n = 49 human injury, 23 human death). The proportion of shrubs and bushes (other wooded lands) within a district was positively associated with the probability of leopard attack occurrence ψ (SE) = 0.58 (0.12). This could be a result of migration induced land abandonment in the hills which has led to the succession of farmlands to shrubs and bushes, which now offers habitat to wild animals. Leopards using shrub habitat potentially encounter humans collecting fodder and grazing livestock which could escalate conflict. Understanding leopard ecology and human dimension inquiry regarding conflict across different leopard habitat types will be crucial for achieving the goals of mitigating conflict and leopard conservation in Nepal.<i> </i>
Sethi, S.A., Gerken, J., Ashline, J. (2017) Accurate aging of juvenile salmonids using fork lengths. Fisheries Research 185:161-168. DOI: https://doi.org/10.1016/j.fishres.2016.09.012	January 2017
Sethi SA, O'Hanley JR, Gerken J, Ashline J, Bradley C. (2017) High value of ecological information for river connectivity restoration. Landscape Ecology 32: 2327-2336. \| Abstract	September 2017	Context: Efficient restoration of longitudinal river connectivity relies on barrier mitigation prioritization tools that incorporate stream network spatial structure to maximize ecological benefits given limited resources. Typically, ecological benefits of barrier mitigation are measured using proxies such as the amount of accessible riverine habitat. Objectives: We developed an optimization approach for barrier mitigation planning which directly incorporates the ecology of managed taxa, and applied it to an urbanizing salmon-bearing watershed in Alaska. Methods: A novel river connectivity metric that exploits information on the distribution and movement of managed taxon was embedded into a barrier prioritization framework to identify optimal mitigation actions given limited restoration budgets. The value of ecological information on managed taxa was estimated by comparing costs to achieve restoration targets across alternative barrier prioritization approaches. Results: Barrier mitigation solutions informed by life history information outperformed those using only river connectivity proxies, demonstrating high value of ecological information for watershed restoration. In our study area, information on salmon ecology was typically valued at 0.8-1.2M USD in costs savings to achieve a given benefit level relative to solutions derived only from stream network information, equating to 16-28% of the restoration budget. Conclusions: Investing in ecological studies may achieve win-win outcomes of improved understanding of aquatic ecology and greater watershed restoration efficiency.
Sethi SA, Linden D, Wenburg J, Lewis C, Lemons P, Fuller A, Hare M. (2016) Accurate recapture identification for genetic mark-recapture studies with error-tolerant likelihood-based match calling and sample clustering. Royal Society Open Science 3: 160457. DOI: 10.1098/rsos.160457 .	December 2016
Sethi SA, Carey MP, Morton J, Guerron-Orejuela E, Decino R, Willette M, Boersma J, Jablonski J, Anderson C. (2017) Rapid response for invasive waterweeds at the arctic invasion front: assessment of collateral impacts from herbicide treatments. Biological Conservation 212:300-309. DOI: https://doi.org/10.1016/j.biocon.2017.06.015 \| Abstract	July 2017	The remoteness of subarctic and arctic ecosystems no longer protects against invasive species introductions. Rather, the mix of urban hubs surrounded by undeveloped expanses creates a ratchet process whereby anthropogenic activity is sufficient to introduce and spread invaders, but for which the costs of monitoring and managing remote ecosystems is prohibitive. Elodea spp. is the first aquatic invasive plant to become established in Alaska and has potential for widespread deleterious ecological and economic impacts. A rapid eradication response with herbicides has been identified as the priority invasion control strategy. We conducted a multi-lake monitoring effort to assess collateral impacts from herbicide treatment for Elodea in high latitude systems. Variability in data was driven by seasonal dynamics and natural lake-to-lake differences typical of high latitude waterbodies, indicating lack of evidence for systematic impacts to water quality or plankton communities associated with herbicide treatment of Elodea. Impacts on native macrophytes were benign with the exception of some evidence for earlier onset of leaf senescence for lily pads (Nuphar spp.) in treated lakes. We observed a substantial increase in native flora richness after Elodea was eradicated from the most heavily infested lake, indicating potential for retention of native macrophyte communities if infestations are addressed quickly. While avoiding introductions through prevention may be the most desirable outcome, these applications indicated low risks of non-target impacts associated with herbicide treatment as a rapid response option for Elodea in high latitude systems.
Sethi SA, Carey MP, Gerken J, Harris B, Cunningham C, Wolf N, Restrepo F, Ashline J (2022) Juvenile salmon habitat use drives variation in growth and highlights vulnerability to river fragmentation. Ecosphere 13:e4192. \| Abstract	July 2022	Widespread stream network fragmentation from dams and culverts has altered habitat connectivity in river ecosystems and presents an acute threat to migratory fish. To support watershed management for an iconic migratory fish group, we assessed juvenile salmon growth outcomes across habitat use strategies and characterized how these life histories may be impacted by stream connectivity loss. Juvenile coho salmon (<i>Oncorynchus kisutch</i>) in the Big Lake drainage, Alaska, U.S.A., were individually tracked over 2012-2013 and categorized into habitat use behaviors, with fish either remaining in streams throughout freshwater residency or migrating seasonally to overwinter in lake habitats. Size, growth rate, and body condition of smolts (n=1,113) were compared across habitat use strategies. Juvenile coho salmon that moved seasonally to lake overwintering habitats, the most frequently observed strategy, grew faster and were significantly larger as smolts compared to their counterparts who remained in streams exclusively (spring age 1 fish: 18% larger by weight, 9% faster growth rate; spring age 2+ fish: 26% heavier, 11% faster growth). Environmental data from a subset of overwinter lakes indicate that greater foraging opportunity and lower energy costs may be implicated in growth advantages conferred by lentic overwintering strategies. Habitat use strategies requiring seasonal migrations, however, increased exposure to stream connectivity loss, and fish blocked from accessing a potential overwinter headwater lake by a culvert and dam had lowest body condition among study groups. Stream network fragmentation restricts access to preferred overwinter habitats, and our findings suggest this may constrain freshwater rearing strategies associated with strong juvenile coho salmon growth. As size at smolt has been implicated as a driver of salmon survival through ocean residency, reduced freshwater habitat connectivity during juvenile stages may have deleterious impacts on later marine life stages. Consequently, conservation of stream connectivity across lentic and lotic habitats represents an important watershed management priority for juvenile salmon.
Sethi SA, Bradley C. (2016) Statistical arrival models to estimate missed passage counts at fish weirs. Canadian Journal of Fisheries and Aquatic Sciences 73:1251-1260. DOI: https://doi.org/10.1139/cjfas-2015-0318 \| Abstract	August 2016	Missed counts are commonplace when enumerating fish passing a weir. Typically connect-the-dots linear interpolation is used to impute missed passage; however, this method fails to characterize uncertainty about estimates, and cannot be implemented when the tails of a run are missed. Here, we present a statistical approach to imputing missing passage at weirs which addresses these shortcomings, consisting of a parametric run curve model to describe the smoothed arrival dynamics of a fish population and a process variation model to describe the likelihood of observed data. Statistical arrival models are fit in a Bayesian framework and tested with a suite of missing data simulation trials and against a selection of Pacific Salmon (Oncorhynchus spp.) case studies from the Yukon River drainage, Alaska, U.S.A. When compared against linear interpolation, statistical arrival models produced equivalent or better expected accuracy and a narrower range of bias outcomes. Statistical arrival models also successfully imputed missing passage counts for scenarios where the tails of a run were missed.
Sethi SA, Bradley C, Harris F. (2018) Separate tagging versus capture impacts on chum salmon (Oncorhynchus keta) freshwater spawning migration travel time performance? Fisheries Management and Ecology 25: 296-303. \| Abstract	July 2018	The spawning migration travel times of chum salmon Oncorhynchus keta (Walbaum) fitted with gastrically implanted radio tags versus external spaghetti tags were tested over a short (≈60 river km) and long migration route (≈730 rkm) on the Koyukuk river, Alaska, USA. Using a novel application of statistical arrival curve models to infer travel times for uncaptured fish, migrations by chum salmon not directly handled during the study were also assessed. Results demonstrated negligible differences in travel times within migration routes between fish fitted only with spaghetti tags and fish fitted with radio tags, indicating low impacts on migration travel behavior associated with gastric tags once deployed. Conversely, travel times for unhandled fish as inferred by statistical arrival models may have been 12-24% shorter than those for fish captured with gillnets for tagging. These results suggest that if present, chum salmon migration behavior impacts may be more strongly associated with fish capture than tag deployment.
Sethi SA, Ashline J, Harris B, Gerken J, Restrepo F. (2021) Connectivity between lentic and lotic freshwater habitats identified as a conservation priority for coho salmon. Aquatic Conservation: Marine and Freshwater Ecosystems, 31:1791-1801. \| Abstract	July 2021	1. Juvenile Pacific salmon exhibit diverse habitat use and migration strategies to navigate high environmental variability and predation risk during freshwater residency. Increasingly, urbanization and climate-driven hydrological variability present further stressors for these anadromous species, emphasizing a need to conserve freshwater habitat integrity to support life history diversity as a buffer against ongoing ecosystem changes.<br>2. To inform catchment management for salmon, information on the distribution and movement dynamics of juvenile fish throughout the annual seasonal cycle is needed. While a number of studies have assessed the ecology of juvenile coho salmon (<i>Oncorhynchus kisutch</i>) during summer and fall seasons, catchment use by this species throughout the annual cycle is less well characterized, particularly in high latitude systems.<br>3. Here, <i>n</i> = 3,792 tagged juvenile coho salmon were tracked throughout two complete annual cycles to assess basin-wide distribution and movement behavior of this species in a subarctic, ice-bearing catchment.<br>4. Juvenile coho salmon in the Big Lake, Alaska, basin exhibited multiple habitat use and movement strategies across seasons; however, summer rearing in lotic mainstem environments followed by migration to lentic overwinter habitats was identified as a prominent behavior, with two thirds of tracked fish migrating en masse to concentrate in a small subset of upper catchment lakes for the winter. In contrast, the most significant tributary overwintering site (8% of tracked fish) occurred below a culvert and dam blocking juvenile fish passage to a headwater lake, indicating these fish may have been restricted from reaching preferred lentic overwinter habitats.<br>5. These findings emphasize the importance of maintaining aquatic connectivity to lentic habitats as a conservation priority for coho salmon during freshwater residency.
Sethi S.A., W. Larson, K. Turnquist, and D. Isermann. 2018. Estimating the number of contributors to DNA mixtures provides a novel tool for ecology. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13079 \| Abstract	January 2019	1. Mixtures of DNA from multiple contributors present a novel opportunity to count individuals to inform fish and wildlife ecology. 2. We apply a likelihood based framework to estimate the number of contributors to a DNA mixture for ecological applications. We then assess the performance of DNA mixture estimation through a combination of simulation analyses, laboratory testing, and a field trial to estimate fish predation rates from stomach content analysis. 3. Simulations indicated reasonably sized genetic marker panels could estimate the number of contributors to mixtures comprised of up to 10 individuals, with potential to resolve larger mixtures with additional markers. Mixture estimates demonstrated robustness to common genotyping errors associated with fish and wildlife genetics applications. Laboratory trials demonstrated that DNA combined from multiple yellow perch (Perca flavescens) could be successfully genotyped with a 14-loci microsatellite panel and led to successful estimation for up to 5-contributor mixtures. Stomach content analysis with DNA mixtures indicated a 5-fold increase in estimated predation rates of yellow perch by largemouth bass (Micropterus salmoides) relative to conventional visual assessment of diet contents which can miss partially digested prey items. 4. DNA mixtures have potential to expand applications of count-based ecological analyses. Technical challenges in generating genotypes from DNA mixtures may initially limit their use, however, advances in next generation genotyping platforms are anticipated to surmount these obstacles. Chiefly, we envision opportunity for DNA mixtures to advance eDNA analysis beyond presence/absence based inference to enumeration of specimens.
Seilheimer, T. S., and W. L. Fisher. 2010. Habitat use by fishes in groundwater-dependent streams of southern Oklahoma. American Midland Naturalist 164:201-216.	September 2010
Royle, J.A., R.B. Chandler, C.C. Sun, and A.K. Fuller. 2014. Reply to Efford on Integrating Resource Selection Information with Spatial Capture-Recapture. Methods in Ecology and Evolution doi: 10.1111/2041-210X.12205	May 2014
Royle, J.A., R. B. Chandler, C. C. Sun, and A. K. Fuller. 2013. Integrating resource selection information with spatial capture-recapture. Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12039. \| Abstract	February 2013	1. Understanding space usage and resource selection is a primary focus of many studies of animal populations. Usually, such studies are based on location data obtained from telemetry, and resource selection functions (RSFs) are used for inference. Another important focus of wildlife research is estimation and modeling population size and density. Recently developed spatial capture–recapture (SCR) models accomplish this objective using individual encounter history data with auxiliary spatial information on location of capture. SCR models include encounter probability functions that are intuitively related to RSFs, but to date, no one has extended SCRmodels to allow for explicit inference about space usage and resource selection. 2. In this paper we develop the first statistical framework for jointly modeling space usage, resource selection, and population density by integrating SCR data, such as from camera traps, mist-nets, or conventional catch traps, with resource selection data from telemetered individuals. We provide a framework for estimation based on marginal likelihood, wherein we estimate simultaneously the parameters of the SCRandRSF models. 3. Our method leads to increases in precision for estimating parameters of ordinary SCR models. Importantly, we also find that SCR models alone can estimate parameters of RSFs and, as such, SCR methods can be used as the sole source for studying space-usage; however, precision will be higher when telemetry data are available. 4. Finally, we find that SCRmodels using standard symmetric and stationary encounter probabilitymodelsmay not fully explain variation in encounter probability due to space usage, and therefore produce biased estimates of density when animal space usage is related to resource selection. Consequently, it is important that space usage be taken into consideration, if possible, in studies focused on estimating density using capture–recapture methods.
Royle, J.A., C. Sutherland, A.K. Fuller, and C.C. Sun. 2015. Likelihood analysis of spatial capture-recapture models for stratified or class structured populations. Ecosphere. http://dx.doi.org/10.1890/ES14-00148.1 \| Abstract	February 2015	We develop a likelihood analysis framework for fitting spatial capture-recapture (SCR) models to data collected on class structured or stratified populations. Our interest is motivated by the necessity of accommodating the problem of missing observations of individual class membership. This is particularly problematic in SCR data arising from DNA analysis of scat, hair or other material, which frequently yields individual identity but fails to identify the sex. Moreover, this can represent a large fraction of the data and, given the typically small sample sizes of many capture-recapture studies based on DNA information, utilization of the data with missing sex information is necessary. We develop the class structured likelihood for the case of missing covariate values, and then we address the scaling of the likelihood so that models with and without class structured parameters can be formally compared regardless of missing values. We apply our class structured model to black bear data collected in New York in which sex could be determined for only 62 of 169 uniquely identified individuals. The models containing sex-specificity of both the intercept of the SCR encounter probability model and the distance coefficient, and including a behavioral response are strongly favored by log-likelihood. Estimated population sex ratio is strongly influenced by sex structure in model parameters illustrating the importance of rigorous modeling of sex differences in capture-recapture models.
Royle, J.A., A.K. Fuller, and C.Sutherland. 2015. Spatial capture-recapture models allowing Markovian transience or dispersal. Population Ecology.doi:10.1007/s10144-015-0524-z.	January 2016
Royle, J.A., A.K. Fuller, and C. Sutherland. 2018. Unifying population and landscape ecology with spatial capture-recapture. Ecography 40: doi: 10.1111/ecog.03170	January 2018
Rose C, Nielsen JK, Gauvin J, Loher T, Sethi SA, Seitz AC, Courtney MB, Dorbny P. (2019) Survival outcome patterns revealed by deploying advanced tags in quantity (160): Pacific halibut (Hippoglossus stenolepis) survivals after release from trawl catches through expedited sorting. Canadian Journal of Fisheries and Aquatic Sciences 76:2215-2224. \| Abstract	March 2019	Pacific halibut (Hippoglossus stenolepis) bycatch limits many Alaska trawl fisheries and greatly concerns stakeholders from local communities and fisheries that rely on Pacific halibut. To reduce Pacific halibut mortality, Bering Sea trawlers that target flatfish have been developing expedited release procedures to sort Pacific halibut from catches earlier than current regulations allow, while continuing accurate bycatch accounting. We studied survival rates of released Pacific halibut from three trawlers by deploying accelerometer-equipped Popup Satellite Archival Tags (PSATs) on 160 fish handled under expedited procedures. PSATs recorded and transmitted two metrics indicating swimming activity for every two hours while attached to the fish for up to 60 days. Analysis of the resulting survival outcomes largely validated current survival estimation methods, based on structured viability assessments, and found longer fish length, shorter air exposure, and shorter trawl tow duration all improved predicted Pacific halibut survival. Differences in these results were detected between vessel trips and species targeted by trawling. PSATs provided detailed data from all tagged fish, while exposing fish to conditions experienced by normal releases.
Robinson, K.F., A.K. Fuller, and M.L. Jones. 2021. Using structured decision making to incorporate ecological and social values into harvest decisions: case studies of white-tailed deer and walleye In: Harvest of Fish and Wildlife: New Paradigms for Sustainable Management. CRC Press.	June 2021
Robinson, K.F., A.K. Fuller, R.C. Stedman, W.F. Siemer, and D.J. Decker. 2019. Decision making in coupled human-natural systems: challenges and opportunities. Environmental Management 63:656-573.	February 2019
Robinson, K.F., A.K. Fuller, M.V. Schiavone, B. Swift, D.R. Diefenbach, W.F. Siemer, and D.J. Decker. 2017. Addressing wild turkey (Meleagris gallapavo) population declines using structured decision making. Journal of Wildlife Management. DOI: 10.1002/jwmg.21220	February 2017
Robinson, K.F., A.K. Fuller, J.E. Hurst, B.L. Swift, A. Kirsch, J. Farquhar, D.J. Decker, and W.F. Siemer. 2016. Structured decision making as a framework for large-scale wildlife harvest management decisions. Ecosphere 7(12):e01613. 10.1002/ecs2.1613.	December 2016
Robinson, K. F., and A. K. Fuller. 2017. Participatory modeling and structured decision making. Pages 83-101 in Environmental Modeling with Stakeholders: Theory, Methods, and Applications. Springer. \| Abstract	December 2016	Structured decision making (SDM) provides a framework for making sound decisions even when faced with uncertainty, and is a transparent, defensible, and replicable method used to understand complex problems. A hallmark of SDM is that it is a values-based system of decision-making and often includes participation from multiple stakeholders, helping to garner trust and ultimately result in a decision that is more likely to be implemented. The core steps of SDM are used to structure thinking about natural resource management choices, and include: 1) properly defining the problem and the decision context, 2) determining the objectives that help describe the aspirations of the decision maker, 3) devising management actions or alternatives that can achieve those objectives, 4) evaluating the outcomes or consequences of each alternative on each of the objectives, 5) modeling the system and evaluating trade-offs, and 6) implementing the decision. Participatory modeling for SDM includes creating qualitative and quantitative models of how the system works, providing data for these models, and eliciting expert opinion when data are unavailable. In these ways, SDM provides a framework for decision making in natural resources management that includes participation from stakeholder groups throughout the process, including the modeling phase.
Robinson, K. F., D. R. Diefenbach, A. K. Fuller, J. E. Hurst, and C. S. Rosenberry. 2014. Can managers compensate for coyote predation of white-tailed deer? Journal of Wildlife Management 78:571–579. \| Download	April 2014
Riley, Shawn. J., and Angela K. Fuller. 2023. “Integrating social and environmental science in decision making for endangered species management.” In The codex of the Endangered Species Act: the next fifty years (Volume II). L. E. Baier, and J. F. Organ, Editors. Lanham, Maryland: Rowman and Littlefield): Chapter 14.	November 2023
Remshardt, W. J., and W. L. Fisher. 2009. Effects of variation in streamflow and channel structure on smallmouth bass habitat in an alluvial streams. River Research and Applications 25:661-674.	June 2009
Proctor, M.F., Garshelis, D.L., Thatte, P., Steinmetz, R., Crudge, B., McLellan, B.N., McShea, W.J., Ngoprasert, D., Nawaz, M.A., Te Wong, S., Sharma, S., Fuller, A.K., Dharaiya, N., Pigeon, K.E., Fredriksson, G., Wang, D., Li, S. and Hwang, M. (2022). Review of field methods for monitoring Asian bears. Global Ecology and Conservation, 35, p.e02080. doi:https://doi.org/10.1016/j.gecco.2022.e02080.	January 2022
Poutanen, J., Fuller, A.K., Pusenius, J., Royle, J.A., Wikström, M. and Brommer, J.E. (2023). Density‐habitat relationships of white‐tailed deer ( Odocoileus virginianus ) in Finland. Ecology and Evolution, 13(1). doi:https://doi.org/10.1002/ece3.9711. ‌	December 2022
Pendleton R, Standley CR, Higgs AL, Kenney GH, Sullivan PJ, Sethi SA, Harris B. (2018) Acoustic telemetry and benthic habitat mapping informs the spatial ecology of Shortnose Sturgeon in the Hudson River, NY, USA. Transactions of the American Fisheries Society 148:35-47. \| Abstract	January 2019	A history of overexploitation and industrialization of riverine habitats has impacted Shortnose Sturgeon Acipenser brevirostrum, leading this species to be one of the earliest listed under the U.S. Endangered Species Act. Presently, understanding spatial ecology of Shortnose Sturgeon is based on observations from a limited number Atlantic coastal rivers. To better understand Shortnose Sturgeon in the Hudson River in NY, USA, we used acoustic telemetry to characterize seasonal habitat use and to identify regions of the river where seasonal sturgeon activity occurred. From 2012-2016, 101 adult fish were tagged and tracked from 2012-2016 and sturgeon detection per unit effort (a metric of fish observation standardized by search effort) was evaluated against benthic habitat variables using generalized additive regression models. Models indicated strong habitat associations in the Spring season defined by gravel dominated substrates and specific depth ranges, presumably associated with spawning activity. During Summer, sturgeon were more dispersed associating with muddy habitats, whereas, in Fall/Winter sturgeon congregated in specific regions of the river. These data demonstrate river use and habitat associations vary seasonally and identify important areas for managing overlap between seasonal sturgeon habitat use and human activity on the river.
Paufve MR, Sethi SA, Weidel BC, Lantry BF, Yule DL, Rudstam LG, Jonas JJ, Berglund E, Connerton MJ, Gorsky D, Herbert M, Smith J. (2022) Diversity in spawning habitat use among Great Lakes Cisco populations. Ecology of Freshwater Fish 31: 379-388. \| Abstract	April 2022	Cisco (<i>Coregonus artedi</i>) once dominated fish communities in the Laurentian Great Lakes. Restoring the abundance and distribution of this species has emerged as a management priority, yet our understanding of Cisco spawning habitat use is insufficient to characterize habitat needs for these populations and assess whether availability of suitable spawning habitat could be a constraint to recovery. We characterized the distribution of incubating Cisco eggs <i>in situ</i> across gradients of depth and substrate types to describe the spawning habitat used by three Great Lakes populations. In Chaumont Bay, Lake Ontario, eggs were concentrated on shallow bedrock shoals and not found on deeper silt or sand substrate. In contrast, eggs in Thunder Bay, Lake Superior, and Elk Rapids, Lake Michigan, were found on deeper fine grain sediments with low utilization of shallow rocky and cobble habitats. These patterns of egg incubation habitat use suggest a broad spawning habitat niche at the species level but distinct spawning habitat preferences at the population level. While our results indicate some historical diversity in spawning habitat use has been maintained across the species’ range in the Great Lakes, comparisons of contemporary spawning habitat utilization against historical accounts raise questions as to whether some spawning habitat use behaviors may no longer be prevalent within specific lakes. Thus, characterizing the portfolio of spawning strategies remaining within lakes may improve our understanding of habitat needs and identify opportunities to maintain population diversity while supporting Cisco rehabilitation.
Paufve MP, Sethi SA, Rudstam L, Weidel BC, Lantry BF, Chalupnicki M. (2020) Differentiation between Lake Whitefish and Cisco eggs based on diameter. Journal of Great Lakes Research. 46:1058-1062. \| Abstract	July 2020	Cisco (Coregonus artedi) and lake whitefish (Coregonus clupeaformis) are native fish species of management concern in the Laurentian Great Lakes that often overlap in spawning locations and timing. Thus, species-level inference from in situ sampling requires methods to differentiate their eggs. Genetic barcoding and rearing of live eggs to visually identify larvae are used but can be time and cost intensive. Observations in published literature indicate that in the Great Lakes, lake whitefish eggs may be larger than those of cisco, but this has not yet been substantiated. Samples from shared spawning grounds are unlikely to contain similarly sized or colored eggs from other species. Thus, we assessed whether their eggs could be separated based on size alone. Fertilized, hardened eggs were collected in situ during spawning at Elk Rapids, Lake Michigan and Chaumont Bay, Lake Ontario and preserved in ethanol. Individual eggs were measured and genetically identified. Mean diameter for cisco (2.45 mm, SD = 0.22, n = 444) was smaller than for lake whitefish (3.21 mm, SD = 0.20, n = 99). We used classification trees to identify a species-separating size threshold of 2.88 mm (95% bootstrap CI = [2.88, 2.95]), which classified eggs with an accuracy rate of 96%. Differences between species across other samples from the same locations were mostly consistent with the threshold size, but we suggest validation if applying this method to other populations. Separation of cisco and lake whitefish eggs by diameter can be accurate, efficient, and especially suitable for large sample sizes.
Paufve MP, Sethi SA, Lantry BF, Weidel BC, Rudstam LG. Asessing the spawning ecology of fish in situ using a benthic pump sampler. Fisheries Research 214:19-24. \| Abstract	January 2019	Successful reproduction in fish requires suitable conditions for spawning and egg incubation. Thus, fish species commonly exhibit spawning site selectivity, and understanding habitat requirements to inform population ecology and management relies on in situ observations of eggs. Numerous methods and devices have been developed to sample benthic, non-adhesive fish eggs to relate egg distribution, abundance, and survival to habitat characteristics, yet most do not have estimates of sampling efficiency despite assumptions of imperfect performance. We tested the efficiency of a gasoline-powered diaphragm pump with two different intake nozzle designs by sampling benthic, non-adhesive fish eggs at known densities (50, 200, and 500 eggs m-2) across a range of substrates: silt, gravel, and two depths of cobble. The sampler was ineffective on deep cobble substrate regardless of intake design. However, on substrates with less interstitial space, a narrower intake was consistently effective at detecting the presence of eggs (mean detection probability: 0.92) and demonstrated sufficient egg recovery to detect relative differences in abundance and to estimate absolute abundance with enough repeating samples. On average, 45% of eggs directly beneath the intake were recovered after four minutes of pumping, with most collected during the first two minutes. Eggs were often collected from outside the intake area, increasing variability in egg counts. When these limitations and imperfect efficiencies are accounted for, the pump sampler is uniquely suited for in situ assessment of eggs to inform large-scale spawning site use, small-scale habitat selection, and other applications relevant to spawning ecology.
Nadeau, C.P., and A. K. Fuller. 2015. Accounting for multiple climate components when estimating climate change exposure and velocity. Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12360	February 2015
Nadeau, C.P. and A.K. Fuller. 2016. Combining Landscape Variables and Species Traits can Improve the Utility of Climate Change Vulnerability Assessments. Biological Conservation 202:30-38.	September 2016
Nadeau, C. P., A. K. Fuller, and D. L. Rosenblatt. 2015. Climate-smart management of biodiversity. Ecosphere. 6:art91–art91. http://dx.doi.org/10.1890/ES15-00069.1 \| Abstract	June 2015	Climate change is expected to have major ecological impacts. Hence, wildlife management agencies and conservation organizations need to adapt management plans to include the potential effects of climate. Here, we use a spatial climate change vulnerability assessment to (1) map the potential vulnerability of terrestrial biodiversity to climate change in the northeastern United States and (2) provide guidance on how and where management actions for biodiversity (e.g., invasive species removal, herbivore control, open-space planning) could provide long-term benefits under climate change (i.e., climate-smart management considerations). In the northeastern United States, biodiversity is expected to be most vulnerable on the Delmarva Peninsula and at many locations that occur within the upper 10% of elevations, despite moderate climate change predictions in many of these regions. Biodiversity is expected to be least vulnerable in New York and the New England states, despite expectations that the climate will change more in these states relative to other states. Maps of our climate-smart management considerations suggest that: (1) high topoclimate diversity could moderate the effects of climate change across 50% of the region, allowing future management actions that are implemented across multiple topoclimates to provide a long-term benefit to biodiversity; (2) increasing local landscape connectivity (i.e., decreasing local landscape resistance) in conjunction with other management actions could increase the benefit of future management actions across 20% of the region; and (3) management actions across 23% of the region could provide long-term benefits by promoting short-term population persistence that provides a source population capable of moving in the future. Our climate-smart management considerations are unique in that they identify specific landscape features to modify or utilize to help ensure the long-term benefit of management actions already in use (or planned to be used in the future) under climate change. We do not suggest entirely new management actions. We simply provide guidance on how and where to implement management actions. Hence, management agencies should be able to incorporate our climate-smart management considerations into their management plans without making drastic changes to their approach to biodiversity conservation.
Murphy RD, Hagan JA, Harris BP, Sethi SA, Smeltz TS, Restrepo F. (2021) Can Landsat thermal imagery and environmental data accurately estimate water temperatures in small streams? Journal of Fish and Wildlife Management. 12:12-26. \| Abstract	February 2021	The ability to monitor water temperature is important for assessing changes in riverine ecosystems resulting from climate warming. Direct in situ water temperature collection efforts provide point-samples but are cost-prohibitive for characterizing stream temperatures across large spatial scales, especially for small, remote streams. In contrast, satellite thermal infrared imagery may provide a spatially extensive means of monitoring riverine water temperatures, however, the accuracy of these remotely sensed temperatures for small streams is not well understood. Here, we investigated the utility of Landsat 8 thermal infrared imagery and both local and regional environmental variables to estimate subsurface temperatures in high latitude small streams (2 – 30 m wetted width), from a test watershed in southcentral Alaska. Our results suggested that Landsat-based surface temperatures were biased high, and the degree of bias varied with hydrological and meteorological factors. However, with limited in-stream validation work, results indicated it is possible to reconstruct average in situ water temperatures for small streams at regional-scales using a regression modelling framework coupled with publicly-available Landsat or air temperature information. Generalized additive models built from stream stage information from a single gage and air temperatures from a single weather station in the drainage fit to a limited set of in situ temperature recordings could estimate average stream temperatures at the watershed-level with reasonable accuracy (root mean square error = 2.4°C). Landsat information did track closely with regional air temperatures and could also be incorporated into a regression model as a substitute for air temperature to estimate in situ stream temperatures at watershed scales. Importantly, however, while average watershed-scale stream temperatures may be predictable, site-level estimates did not improve with the use of Landsat information or other local covariates, indicating that additional information may be necessary to generate accurate spatially explicit temperature predictions for small order streams.
Morin, D.J., Boulanger, J., Bischof, R., Lee, D.C., Ngoprasert, D., Fuller, A.K., McLellan, B., Steinmetz, R., Sharma, S., Garshelis, D., Gopalaswamy, A., Nawaz, M.A. and Karanth, U. (2022). Comparison of methods for estimating density and population trends for low-density Asian bears. Global Ecology and Conservation, [online] 35, p.e02058.	February 2022
Morin, D.J., A.K. Fuller, J.A. Royle, and C. Sutherland. 2017. Model-based estimators of density and connectivity to inform conservation of spatially-structured populations. Ecosphere 8(1):e01623. 10.1002/ecs2.1623.	January 2017
Moriarity M, Sethi SA, Pedreschi D, Smeltz TS, McGonigle C, Harris BP, Wolf N, Greenstreet SPR. (2020) Combining fisheries surveys to inform marine species distribution modelling. ICES Journal of Marine Science 77:539-552. \| Abstract	March 2020	Ecosystem-scale examination of fish communities typically involves creating spatio-temporally explicit relative abundance distribution maps using data from multiple fishery-independent surveys. However, sampling performance varies by vessel and sampling gear, which may influence estimated species distribution patterns. Using GAMMs, the effect of different gear–vessel combinations on relative abundance estimates at length was investigated using European fisheries-independent groundfish survey data. We constructed a modelling framework for evaluating relative efficiency of multiple gear–vessel combinations. 19 northeast Atlantic surveys for 254 species-length combinations were examined. Space-time variables explained most of the variation in catches for 181/254 species-length cases, indicating that for many species, models successfully characterized distribution patterns when combining data from disparate surveys. Variables controlling for gear efficiency explained substantial variation in catches for 127/254 species-length data sets. Models that fail to control for gear efficiencies across surveys can mask changes in the spatial distribution of species. Estimated relative differences in catch efficiencies grouped strongly by gear type, but did not exhibit a clear pattern across species’ functional forms, suggesting difficulty in predicting the potential impact of gear efficiency differences when combining survey data to assess species’ distributions and highlighting the importance of modelling approaches that can control for gear differences.
Molina, S., A.K. Fuller, D.J. Morin, and J.A. Royle. 2017. Use of spatial capture-recapture to estimate density of Andean bears in northern Ecuador. Ursus 28:117-126.	August 2017
Miller, J.R.B., R.T. Pitman, G.K.H. Mann, A.K. Fuller, and G.A. Balme. 2018. Lions and leopards coexist without spatial, temporal or demographic effects of interspecific competition. Journal of Animal Ecology. DOI: 10.1111/1365-2656.12883	April 2018
Micheli F, Heiman KW, Kappel CV, Martone RL, Sethi SA, Osio GC, Fraschetti S, Shelton AO, Tanner JM. (2016) Combined impacts of natural and human disturbances on rocky shore communities. Ocean and Coastal Management 126:42-50. DOI: https://doi.org/10.1016/j.ocecoaman.2016.03.014 \| Abstract	June 2016	Most ecosystems are subject to both natural and human disturbances that can combine to influence populations and assemblages in complex ways. Assessing the relative influences and combined impacts of natural and human disturbance is crucial for managing human uses of ecosystems against the backdrop of their natural variability.We evaluated the separate and combined influences of disturbance from storm waves and disturbance associated with human trampling of rocky shores by conducting an experiment mimicking controlled levels of trampling at sites with different wave exposures, and before and after a major storm event in central California, USA. Results show that trampling and storm waves affected the same taxa and have comparable and additive effects on rocky shore assemblages. Both disturbance types caused significant reduction in percent cover of mussels and erect macroalgae, and resulted in significant re-organization of assemblages associated with these habitat-forming taxa. A single extreme storm event caused similar percent cover losses of mussels and erect macroalgae as did 6 e12 months of trampling. Contrary to a predicted synergistic effect of trampling and storm damage, we found that impacts from each disturbance combined additively. Mussel beds in wave-exposed sites are more vulnerable to trampling impacts than algal beds at protected sites. Mussels and erect macroalgae recovered within five years after trampling stopped. These results suggest that impacts from local human use can be reversed in relatively short time frames, and that cumulative impacts can be reduced by setting recreational carrying capacities more conservatively when ecosystems are already exposed to frequent and/or intense natural disturbances.
Martin, C. D., and W. L. Fisher. 2008. Recreational fishing for black bass in eastern Oklahoma streams. Proceedings of the Southeastern Association of Fish and Wildlife Agencies 62:168-176. \| Publisher Website	January 2010
Marcy-Quay B, Sethi SA, Therkildsen NO, Kraft CE. (2020) Expanding the feasibility of fish and wildlife assessments with close-kin mark-recapture. Ecosphere, 11:e03259. \| Abstract	October 2020	Close-kin mark-recapture is a powerful new method for the assessment of fish and wildlife populations. Unlike traditional mark-recapture techniques, the use of kinship as an identifying “mark” is robust to many forms of capture heterogeneity including variation in gear efficiency and tagging-based effects such as loss and differential mortality. In addition, close-kin methods can be applied to a wider range of sampling designs than traditional methods including single-occasion surveys, can provide retrospective historical abundance estimates, and can produce survival estimates from as few as two sampling occasions. We evaluated the ability of close-kin mark-recapture to provide estimates of abundance and adult survival, and then compared results to those from traditional mark-recapture. This analysis incorporated data from a three year study of lake resident brook trout (<i>Salvelinus fontinalis</i>) where individuals were both physically (Passive Integrated Transponder, PIT) tagged and genotyped for 44 <i>de novo</i> developed microsatellites with high throughput sequencing. Traditional mark-recapture estimates were derived using Pollock’s Robust Design, relying upon three primary “open” sampling occasions and four secondary “closed” occasions. We found that close-kin methods produced contemporary estimates of adult abundance and survival that were similar to those produced by traditional mark-recapture in both magnitude and precision. Furthermore, close-kin mark-recapture provided abundance estimates for multiple years prior to sampling and, when restricted to data from a single year, could still produce reliable abundance estimates for at least one and as many as three years. Retrospective abundance estimates corresponded with those from a separate historical two-sample mark-recapture dataset. This study provides support for the use of close-kin mark-recapture as a robust and sampling-efficient alternative to traditional mark-recapture methods of assessing population parameters.
M.J. Eaton, A.K. Fuller, F.A. Johnson, M.P. Hare, and R.C. Stedman. Application of Decision Science to Resilience Management in Jamaica Bay. Chapter 9 in E. W. Sanderson, W.D. Solecki, J.R. Waldman, and A.S. Parris, editors. Prospects for Resilience. Island Press.	November 2016
Lynch A. J., L. M. Thompson, J. M. Morton, E. A. Beever, M. Clifford, D. Limpinsel, R. T. Magill, D. R. Magness, T. A. Melvin, R. A. Newman, M. T. Porath, F. J. Rahel, J. H. Reynolds, G. W. Schuurman, S. A. Sethi, J. L. Wilkening. RAD adaptive management for transforming ecosystems. Bioscience, 72:45-56. \| Abstract	January 2022	Intensifying global change is propelling many ecosystems towards irreversible transformations. Natural resource managers face the complex task of conserving these important resources under unprecedented conditions and expanding uncertainty. As once familiar ecological conditions disappear, traditional management approaches that assume the future will reflect the past are becoming increasingly untenable. Here, we place adaptive management within the Resist-Accept-Direct (RAD) framework to assist informed risk-taking for transforming ecosystems. This approach empowers managers to use familiar techniques associated with adaptive management in the unfamiliar territory of ecosystem transformation. By providing a common lexicon, it gives decision makers agency to revisit objectives, consider new system trajectories, and discuss RAD strategies in relation to current system state and direction of change. Operationalizing RAD adaptive management requires periodic review and update of management actions and objectives; monitoring, experimentation, and pilot studies; and bet hedging to better identify and tolerate associated risks.
Lynch A. J., L. M. Thompson, E. A. Beever, A. C. Engman, S. T. Jackson, T. J. Krabbenhoft, D. J. Lawrence, D. Limpinsel, R. T. Magill, T. A. Melvin, J. M. Morton, R. A. Newman, J. Peterson, M. T. Porath, F. J. Rahel, S. A. Sethi, J. L. Wilkening. (2021) Managing for a R-A-Dical Future: Resisting, Accepting, or Directing Ecosystem Transformation. Frontiers in Ecology and the Environment, 19:461-469. \| Abstract	October 2021	Ecosystem transformation involves the emergence of a self-organizing, self-sustaining, ecological or social-ecological system that diverges, dramatically and irreversibly, from prior ecosystem structure and function. Such transformations are occurring at increasing rates across the globe owing to rapid changes in climate, land use, and prevalence of introduced species. Consequently, a dynamic view of ecosystem processes that accommodates rapid, irreversible change will be critical for effectively conserving fish, wildlife, and other species. However, managing ecosystems toward states with novel structure and function is an inherently unpredictable and difficult task. We suggest that managers navigating ecosystem transformation consider broader objectives beyond a traditional focus on resisting ecosystem change, and also consider whether accepting inevitable change or directing it to some desirable outcome is more appropriate under some circumstances (R-A-D strategies). By explicitly acknowledging system transformation and implementing an iterative R-A-D approach, natural-resource managers can be deliberate and strategic in addressing radical ecosystem changes.
Long, J.M., R.G. Hyler, and W.L. Fisher. 2012. Response by anglers to a differential harvest regulation on three black bass species at Skiatook Lake, Oklahoma. Proceedings of the Oklahoma Academy of Science 92:9-20. \| Abstract	November 2012	Angler responses to a differential harvest regulation on black bass, Micropterus spp. at Skiatook Lake, Oklahoma was assessed from 1997 to 1999. This regulation allowed anglers to harvest 15 spotted bass, M. punctulatus (Rafinesque) of any size and six largemouth bass, M. salmoides (Lacepède) and smallmouth bass, M. dolomieu Lacepède greater than 356 mm (in aggregate) per day. Anglers’ ability to differentiate spotted bass increased after the first year of the study, but their willingness to target or harvest spotted bass declined. Angler catch rates (number of fish per angling hour) for all three species remained steady throughout the study although total catch for spotted bass was lower in 1998 compared to 1999. Despite the more liberal regulations as incentive, the regulation failed to accomplish the primary objective of increasing angler harvest of spotted bass because of high rates of voluntary catch and release.
Link, WA and MJ Eaton. 2011. On thinning of chains in MCMC. Methods in Ecology and Evolution 3(1):112-115 \| Publisher Website	February 2012
Linden, D.W., A. K. Fuller, J. A. Royle, and M.P. Hare. 2017. Examining the occupancy-density relationship for a low density carnivore. Journal of Applied Ecology doi: 10.1111/1365-2664.12883.	January 2017
Laurance, W.F.,… M.J. Eaton, et al. 2012. Averting biodiversity collapse in tropical protected areas. Nature. 489:290-294. Doi: 10.1038/nature11318. \| Abstract \| Publisher Website	July 2012	The rapid disruption of tropical forests probably imperils global bio- diversity more than any other contemporary phenomenon1–3 .With deforestation advancing quickly, protected areas are increasingly becoming final refuges for threatened species and natural ecosystem processes. However, many protected areas in the tropics are them- selves vulnerable to human encroachment and other environmental stresses4–9 . As pressures mount, it is vital to know whether existing reserves can sustain their biodiversity. A critical constraint in addressing this question has been that data describing a broad array of biodiversity groups have been unavailable for a sufficiently large and representative sample of reserves. Here we present a uniquely comprehensive data set on changes over the past 20 to 30 years in 31 functional groups of species and 21 potential drivers of environ- mental change, for 60 protected areas stratified across the world’s major tropical regions. Our analysis reveals great variation in reserve ‘health’: about half of all reserves have been effective or performed passably, but the rest are experiencing an erosion of biodiversity that is often alarmingly widespread taxonomically and functionally. Habitat disruption, hunting and forest-product exploitation were the strongest predictors of declining reserve health. Crucially, environmental changes immediately outside reserves seemed nearly as important as those inside in determining their ecological fate, with changes inside reserves stronglymirroring those occurring around them. These findings suggest that tropical protected areas are often intimately linked ecologically to their surrounding habitats, and that a failure to stem broad-scale loss and degradation of such habitats could sharply increase the likelihood of serious biodiversity declines
Karban, C. C., J. E. Lovich, J. R. Ennen, S. M. Grodsky, and S. M. Munson. 2023. Predicting the Effects of Solar Energy Development on Wildlife and Plants in the Desert Southwest, USA. Renewable and Sustainable Energy Reviews.	August 2024
Kaiser MJ, et al. (2016) Prioritisation of knowledge needs to achieve best practices for bottom-trawling in relation to seabed habitats. Fish and Fisheries 17:637-663. DOI: 10.1111/faf.12134 \| Abstract	September 2016	Management and technical approaches that achieve a sustainable level of fish production while at the same time minimizing or limiting the wider ecological effects caused through fishing gear contact with the seabed might be considered to be ‘best practice’. To identify future knowledge-needs that would help to support a transition towards the adoption of best practices for trawling, a prioritization exercise was undertaken with a group of 39 practitioners from the seafood industry and management, and 13 research scientists who have an active research interest in bottom-trawl and dredge fisheries. A list of 108 knowledge-needs related to trawl and dredge fisheries was developed in conjunction with an ‘expert task force’. The long list was further refined through a three stage process of voting and scoring, including discussions of each knowledge-need. The top 25 knowledge-needs are presented, as scored separately by practitioners and scientists. There was considerable consistency in the priorities identified by these two groups. The top priority knowledge-need to improve current understanding on the distribution and extent of different habitat types also reinforced the concomitant need for the provision and access to data on the spatial and temporal distribution of all forms of towed bottom-fishing activities. Many of the other top 25 knowledge-needs concerned the evaluation of different management approaches or implementation of different fishing practices, particularly those that explore trade-offs between effects of bottom trawling on biodiversity and ecosystem services and the benefits of fish production as food.
Hernandez, R. R., A. E. Cagle, S. M. Grodsky, G. Exley, and S. M. Jordaan. 2021. Comments on: Land use for United States power generation: A critical review of existing metrics with suggestions for going forward. Renewable and Sustainable Energy Reviews.	September 2022
Heilpern S, Fiorella K, Canas C, Flecker A, Moya L, Naeem S, Sethi SA, Uriarte M, DeFries R. (2021) Substitution of inland fisheries with aquaculture and chicken undermines human nutrition in the Peruvian Amazon. Nature Food, 2:192-197. \| Abstract	March 2021	Maintaining nutrient supplies in the face of declining capture fisheries production may require substituting wild fish with economically comparable farmed animals. Although such dietary transitions are commonplace across global inland and coastal communities dependent on small-scale fisheries, their nutritional consequences are unknown. Here, using detailed human demographic and fish nutritional data from the Peruvian Amazon, we show that substituting wild fisheries with aquaculture and chicken has the potential to limit iron and fatty acid access. However, chicken, in particular, can increase zinc and protein supplies. Considering that farmed foods may contribute to greenhouse gas emissions and land use, strategies that work to maintain access to wild resources while improving the quality, diversity and environmental impacts of farmed foods can contribute to the long term diversity and sustainability of food systems.
Heilpern S, DeFries R, Fiorella K, Flecker A, Sethi SA, Uriarte M, Naeem S. (2021) Declining diversity of wild-caught species puts dietary nutrient supplies at risk. Science Advances, 7:eabf9967. \| Abstract	May 2021	Freshwater fisheries provide many globally with a primary sources of essential nutrients, but are increasingly impacted by overharvesting and habitat loss. Although biodiversity’s role in maintaining ecosystem functions is well established, biodiversity is notably absent from consideration on fisheries and food security. Here we analyze how fish biodiversity loss affects the probability of failing to sustain fish-based nutrient supplies, or nutritional vulnerability, in the Amazon, Earth’s most diverse river basin. Non-random biodiversity loss, in which small sedentary species replace large migratory species, increases the potential to meet intake thresholds for several key nutrients (e.g., fatty acids), but decreases others (e.g., zinc, iron). Biodiversity loss, however, often comes at the cost of increased nutritional vulnerability, but the magnitude depends on biomass compensation, how species vary in their functional traits and the ability of people to substitute fish with other animal foods. In contrast to findings from numerous biodiversity studies, functional diversity could either buffer or exasperate nutritional vulnerability depending on the extent to which species are nutritionally unique and vary in their tolerance to river threats.<b> </b>These results imply that prioritizing biomass production together with multiple dimensions of freshwater biodiversity, including taxonomic and functional diversity, may maximize long-term nutritional benefits from fisheries.
Hearn, B. J., D. J. Harrison, A. K. Fuller, C. Lundrigan, and W. J. Curran. 2010. Paradigm shifts in habitat ecology of threatened Newfoundland martens. Journal of Wildlife Management 74:719-728. \| Abstract \| Download	May 2010	We evaluated multiscale habitat selection by threatened Newfoundland (Canada) martens (Martes americana atrata) across landscapes composed of a range of habitat types to test the hypothesis that martens preferred mature (61–80-yr-old) and overmature (>80 yr) conifer stands. At both the landscape and stand scales, adult ( >1 yr) resident martens (n = 58, 92 yr-specific home ranges) selected for, or used in proportion to availability, a broad range of habitat types, including recent cuts <5 yr old, regenerating forest <6.5 m, precommercially thinned stands, and mature and overmature forest. Marten home ranges were not dominated by mature and overmature forest; median availability of mature and overmature forest within individual home ranges was only 30% (range = 11–76%). Age distributions were not different among martens with high, intermediate, and low quantity of mature and overmature forest in their home range; our data do not indicate that martens inhabiting ranges with little mature and overmature forest were compromising fitness. Habitat selection by martens in Newfoundland was more generalized than has traditionally been inferred, and we suggest that inherent landscape fragmentation, in combination with absence of many predators and competitors (i.e., ecological release), caused the Newfoundland marten to evolve to use a more generalized habitat niche than many mainland populations of American martens. We recommend that landscapes suitable for marten not exceed >29% younger aged forest. Maintaining resident martens in landscapes where forest harvesting is occurring requires prescriptions that recognize the highly fragmented nature of the natural landscape, the prevalence of mature and overmature forest, younger forests, avoided landcover types, and human access.
Gupta, A., B. Dilkina, D. Morin, A. Fuller, A. Royle, C. Sutherland, and C. Gomes. 2019. Reserve Design to Optimize Functional Connectivity and Animal Density. Conservation Biology. https://doi.org/10.1111/cobi.13369	July 2019
Grodsky, S.M., Campbell, J.W., Roeder, K.A., Waite, E.S., Wright, E.R. and Johnston, M.A. (2024). Mixed responses of tenebrionid beetles to solar energy development in the Mojave Desert. Journal of Arid Environments, 225, pp.105243–105243. doi:https://doi.org/10.1016/j.jaridenv.2024.105243. ‌	September 2024
Grodsky, S.M. 2021. Matching clean energy and conservation goals for a sustainable future. One Earth. 4, 924-926.	July 2021
Grodsky, S. M., K. A. Roeder, J. W. Campbell. 2023. Effects of solar energy development on ants in the Mojave Desert. Ecosphere.	October 2023
Grodsky, S. M., J. W. Campbell, and R. R. Hernandez. 2021. Effects of solar energy development on flower-visiting beetles, flies, moths, and wasps in the Mojave Desert. Special Issue: Renewable Energy and Biological Conservation in a Changing World. Biological Conservation. 263, 109336.	September 2021
Grodsky, S. M., C. E. Moorman, and K. R. Russell. 2023. Forest Wildlife Management in Ecological Forest Management Handbook. 2nd edition. G. LaRocque (ed.). Taylor Francis Group/CRC Press.	August 2024
Grodsky, S. M. 2023. Join the revolution: For wildlifers, renewable energy offers unprecedented challenges--and opportunities. The Wildlife Professional.	May 2024
Gomes, C., T. Dietterich, C. Barrett, J. Conrad, B. Dilkina, S. Ermon, F. Fang, A. Farnsworth, A. Fern. X Fern, D. Fink, D. Fisher, A. Flecker, D. Freund, A. Fuller, J. Gregoire, J. Hopcroft, S. Kelling, Z. Kolter, W. Powell, N. Sintov, J. Selker, B. Selman, D. Sheldon, D. Shmoys, M. Tambe, W. Wong, C. Wood, X. Wu, Y. Xue, A. Yadav, A. Yakubu, and M. Zeeman. Computational Sustainability: Computing for a Better World and a Sustainable Future. Communications of the ACM (Association for Computing Machinery). September 2019, Vol. 62 No. 9, Pages 56-65 10.1145/3339399	September 2019
Garshelis, D.L., Pigeon, K., Hwang, M., Proctor, M., McShea, W.J., Fuller, A.K. and Morin, D.J. (2022). The need to step-up monitoring of Asian bears. Global Ecology and Conservation, p.e02087. doi:https://doi.org/10.1016/j.gecco.2022.e02087. ‌	January 2022
Fuller, A.K., and L.M. Lai. 2021. Systematic review of patient decision aids for breast cancer surgery decision: how do patients evaluate tradeoffs among objectives? 2021 Annual Meeting Official Proceedings. Annals of Surgical Oncology. \| Abstract	April 2021	Many breast cancer patients are faced with making a decision among several surgical treatment options. Making an informed decision necessitates that patients receive information on the risks and benefits of their surgical options so they can evaluate tradeoffs among their objectives. However, women frequently report not being completely informed about their treatment options prior to making a decision. There is a recent emphasis on shared decision making; use of decision aiding tools can result in increased dialog between physician and patient and can help inform patients about the costs and benefits of viable treatments that meet their objectives. Decision aids have demonstrated reduced decisional conflict and improved patient knowledge and satisfaction with their surgery decision. The purpose of this study was to review and synthesize existing breast cancer surgical decision aids with a focus on describing how tradeoffs among objectives are evaluated to arrive at a decision among viable surgical options.
Fuller, A.K., and L.M. Lai. 2020. A decision analytic approach for optimal surgical treatment in early-stage breast cancer. 2020 Annual Meeting Official Proceedings, Volume XXI. Annals of Surgical Oncology 27:254-255.	May 2020
Fuller, A.K., and D.J. Harrison. 2013. Modeling the influence of forest structure on microsite habitat use by snowshoe hares. International Journal of Forestry Research., vol. 2013, Article ID 892327, 7 pages, 2013. doi:10.1155/2013/892327 \| Abstract \| Download \| Publisher Website	November 2013	Snowshoe hare (Lepus americanus) is an important prey species for many Carnivora and has strong influences on community structure and function in northern forests. An understanding of within-stand (microsite) forest structural characteristics that promote high use by hares is important to provide forest management guidelines. We measured forest structural characteristics at the microsite-scale in north-central Maine and used an information-theoretic modeling approach to infer which characteristics were most strongly associated with use by hares during winter. We measured overwinter hare pellet density to model relationships among microsite-scale vegetation structure and hare use. Overwinter pellet density was positively associated with live stem cover (3 × coniferous saplings + deciduous saplings) and negatively associated with overstory canopy closure; the two variables explained 71% of the variation in microsite use by hares. The highest pellet densities were in grids with canopy closure <72% and stem cover units >22,000 stems/ha. Silvicultural practices that create dense areas of conifer and deciduous saplings should receive high within-stand use by hares in winter. These conditions can be achieved by promoting the release of advanced regeneration and reducing overstory cover to encourage establishment of shade-intolerant species; clearcutting is one such silvicultural prescription to achieve these conditions.
Fuller, A.K., D.W. Linden, and J.A. Royle. 2016. Management Decision Making for Fisher Populations Informed by Occupancy Modeling. Journal of Wildlife Management. DOI: 10.1002/jwmg.21077	May 2016
Fuller, A.K., D.J. Decker, M. Schiavone, A. Forstchen. Ratcheting up rigor in wildlife decision making. Wildlife Society Bulletin. \| Download	February 2020
Fuller, A.K., C.S. Sutherland, J.A. Royle, and M.P. Hare. 2016. Estimating population density and connectivity of American mink using spatial capture-recapture. Ecological Applications. http://dx.doi.org/10.1890/15-0315.1	April 2016
Fuller, A.K., Augustine, B.C., Morin, D.J., Pigeon, K., Boulanger, J., Lee, D.C., Bisi, F. and Garshelis, D.L. (2022). The occupancy-abundance relationship and sampling designs using occupancy to monitor populations of Asian bears. Global Ecology and Conservation, [online] 35, p.e02075. doi:https://doi.org/10.1016/j.gecco.2022.e02075. ‌	January 2022
Fuller, A.K., Augustine, B.C., Clifton, E.H., Hajek, A.E., Blumenthal, A., Beese, J., Hurt, A. and Brown‐Lima, C.J. (2024). Effectiveness of canine‐assisted surveillance and human searches for early detection of invasive spotted lanternfly. Ecosphere, 15(12). doi:https://doi.org/10.1002/ecs2.70113. \| Abstract	December 2024	Prevention and early detection of invasive species are championed as the most cost-effective and efficient strategies for reducing or preventing negative impacts on ecosystems. Spotted lanternfly (SLF),<i> Lycorma delicatula</i>, is a recently introduced invasive insect whose range in the United States has been expanding rapidly since it was first discovered in Pennsylvania in 2014. Feeding by this planthopper can cause severe impacts to agricultural production, particularly grapes (Vitis spp.). Human visual surveys are the most common search method employed for detection but can be ineffective due to the insect’s cryptic egg masses and low density during early stages of infestation. Therefore, finding alternative early detection methods has become a priority for agencies tasked with addressing SLF management. This study experimentally tested whether trained detector dogs could improve the probability of detecting SLF in both agricultural and forest settings. We surveyed transects in 20 vineyards and their adjacent wooded areas in Pennsylvania and New Jersey, USA and used a multi-scale occupancy model to estimate detection probability achieved by human observers and detection dogs as a function of SLF infestation level, weather, and habitat covariates. We modeled transect-level occupancy of SLF as a function of infestation level, habitat type, topographic position index, and distance to forests. Occupancy probability of SLF was higher on vines within vineyards than in forests and occupancy declined with increasing distance from forests, which is informative for future search efforts. Detection probability of SLF was lower in forested sites and was higher at high infestation sites. Detection dogs had a lower detection probability than humans in the vineyards, but detection probability of dogs was >3x greater than humans in forested sites. Our study suggests that detection dogs are more effective than human visual searches as an early detection method for SLF in forested areas and utilizing detector dogs could strengthen SLF early detection efforts. This study demonstrates the potential applicability of using canine-assisted search strategies combined with occupancy models to enhance the surveillance and prevention of other difficult to detect invasive species.
Fuller, A. K., and D. J. Harrison. 2010. Foraging paths reveal scale-dependent habitat decisions by Canada lynx. Journal of Mammalogy 91:1269-1279. \| Download	October 2010
Fuller, A. K., S. S. Spohr, D. J. Harrison, and F. A. Servello. 2013. Nest survival of wild turkeys in a suburban landscape: influences at nest-site and patch-scales. Wildlife Biology 19:138-146	June 2013
Fuller, A. K., J. C. Stiller, W. F. Siemer, and K. A. Perkins. 2021. Engaging hunters in selecting duck season dates when using decision science: problem framing, objective setting, devising management alternatives. Pages 115–127 in K. Pope, and L. Powell, editors. Harvest of Fish and Wildlife: New Paradigms for Sustainable Management. CRC Press.	June 2021
Fuller, A. K. 2014. Decision Making in Natural Resource Management: A Structured Adaptive Approach. Michael J. Conroy and James T. Peterson.2013. Wiley‐Blackwell, Oxford, UK. 456 pp. $99.95 paperback. ISBN: 978‐0‐470‐67174‐0. The Journal of Wildlife Management 78:175-176. \| Download	October 2013
Fitzpatrick KB, Weidel BC, Connerton MJ, Lantry J, Holden JP, Yuille M, Lantry B, LaPan S, Rudstam LG, Sullivan P, Brenden TO, Sethi SA. (2022) Balancing prey availability and predator consumption: a multispecies stock assessment for Lake Ontario. Canadian Journal of Fisheries and Aquatic Sciences 79:1529-1545. \| Abstract	September 2022	Trophic interactions are drivers of ecosystem change and stability, yet are often excluded from fisheries assessment models. Incorporating predator-prey interactions directly into population models may improve estimates of species dynamics and predictions of future fishery sustainability. In Lake Ontario, popular recreational salmonine fisheries, including Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and lake trout (<i>Salvelinus namaycush</i>), are dependent on a single prey species, alewife (<i>Alosa pseudoharengus</i>). To incorporate these tight predator-prey relationships into our assessment model, we built a multispecies population dynamics model that links, and simultaneously estimates, the dynamics of both predators and alewife. We found that prey availability has recently declined due to decreased alewife recruitment and a spike in Chinook salmon recruitment in 2016, leading to higher alewife mortality rates and lower predator growth rates. We then used the model to explore future predator-prey dynamics, specifically the impact of Chinook salmon stocking reductions on the potential for alewife population growth. Combined with other assessment tools, multispecies models can provide information on how trophic interactions and ecosystem dynamics may affect future fishery sustainability.
Fisher, W. L., M. Bozek, Vokoun, J., and R. Jacobson. 2013. Aquatic habitat measurements. Chapter 4, in A. V. Zale, D. L. Parrish, and T. M. Sutton. Fisheries techniques, 3rd edition. American Fisheries Society, Bethesda, Maryland. \| Publisher Website	January 2013
Fisher, W. L. 2010. GIS and spatial analyses in fisheries: challenges, opportunities and the future. Pages 3-14 in T. Nishida and A. E. Canton, editors. GIS/spatial analyses in fishery and aquatic sciences, volume 4. International Fishery GIS Society, Saitama, Japan.	August 2010
Fabiano, E., C. Sutherland, A. Fuller, E. Eizirik, and L. Marker. 2020. Trends in cheetah (Acinonyx jubatus) density in north-central Namibia. Population Ecology. https://esj-journals.onlinelibrary.wiley.com/doi/abs/10.1002/1438-390X.12045	February 2020
Fabiano, E. L. Boast, A.K. Fuller, and C. Sutherland. 2017. The use of remote camera trapping to study cheetahs. Chapter 29 in L. Marker, L. Boast, A. Schmidt-Kuntzel, eds. The Biology and Conservation of Cheetahs. Academic Press.	April 2017
Eaton, MJ. 2012. Crocodilia in Central African Forests: a long history of exploitation and the impacts of modern commercial logging. In Clark, C.J. and J.R. Poulsen (eds). Tropical Forest Conservation and Industry Partnership: an Experience from the Congo Basin. Blackwell Publishing, Oxford, UK. \| Publisher Website	January 2012
Eaton, MJ. 2012. Monitoring trends in hunting returns and harvest sustainability: catch per unit effort (CPUE). In Clark, C.J. and J.R. Poulsen (eds). Tropical Forest Conservation and Industry Partnership: an Experience from the Congo Basin. Blackwell Publishing, Oxford, UK. \| Publisher Website	January 2012
Dick, C., Larson, W.A., Karpan, K., Baetscher, D.S., Shi, Y., Sethi, S., Fangue, N.A., Henderson, M.J. Prey ration, temperature, and predator species influence digestion rates of prey DNA inferred from qPCR and metabarcoding. Submitted to Molecular Ecology Resources. \| Abstract	August 2023	Diet analysis is a vital tool for understanding trophic interactions and is frequently used to inform conservation and management. Molecular approaches can identify diet items that are impossible to distinguish using more traditional visual-based methods. Yet, our understanding of how different variables, such as predator species or prey ration size, influence molecular diet analysis is still incomplete. Here, we conducted a large feeding trial to assess the impact that ration size, predator species, and temperature had on digestion rates estimated with visual identification, qPCR, and metabarcoding. Our trial was conducted by feeding two different rations of Chinook salmon (<i>Oncorhynchus tshawytscha</i>) to two piscivorous fish species (striped bass [<i>Morone saxatilis</i>] and channel catfish [<i>Ictalurus punctatus</i>]) held at two different temperatures (15.5°C and 18.5°C) and sacrificed at regular intervals up to 120 hours from the time of ingestion to quantify digestive tract contents. We found that ration size had the largest influence on digestion rate followed by prey species and temperature. DNA based analyses were able to identify salmon smolt prey in predator gut samples for much longer than visual analysis (~6 hours for visual analysis versus ~72 hours for molecular analyses). Notably, metabarcoding results had substantially less variance than qPCR results and produced better quantitative estimates of evacuation rates that could be more confidently integrated into modeling efforts. Our study provides evidence that modeling the persistence of prey DNA in predator guts for molecular diet analyses may be feasible using a small set of controlling variables for many fish systems.
Decker, D.J., J.F. Organ, A.B. Forstchen, M.V. Schiavone, and A.K. Fuller. 2018. Wildlife management is science based: myth or reality? The Wildlife Professional 12(4): 30-32.	July 2018
Dayer, A.A., R.C. Stedman, S.B. Allred, K.V. Rosenberg, and A.K. Fuller. 2015. Understanding landowner intentions to create early successional forest habitat in the northeastern United States. Wildlife Society Bulletin. doi:10.1002/wsb.613	December 2015
Dauwalter, D. C., W. L. Fisher, and F. J. Rahel. 2010. Warmwater streams. Chapter 20 in M. Quist and W. Hubert, editors. Inland Fisheries Management in North America, 3rd edition. American Fisheries Society, Bethesda, Maryland.	October 2010
Cusack C, Sethi SA, Rice A, Warren J, Fujita R, Ingles J, Flores J, Garchitorena E, Mesa SV. (2021) Marine ecotourism for small pelagics provides alternative income generating activities to fisheries in a tropical community. Biological Conservation, 261:109242. \| Abstract	September 2021	Overharvest has led to marine ecosystem degradation and declining fishery catches in many tropical communities. To allow stocks to recover and provide increased flows of food and income, reductions in fishing effort may be required. The development of Alternative Income Generating Activities can help to reduce the economic reliance of coastal communities on fishing, potentially reducing pressure on fish stocks. Here we assess the local conditions which have enabled the creation of Alternative Income Generating Activities to fishing based on marine ecotourism in Moalboal, Philippines. Importantly, while marine ecotourism typically centers around charismatic megafauna, a combination of nearshore fringing reefs, the establishment of nearshore marine protected areas and the occurrence of a massive herring aggregation provide a large tourism draw to this community. Using a combination of regional and local economic statistics and stakeholder surveys, we implement an economic valuation of the Moalboal marine ecotourism for 2018 and compare this valuation to an independent estimate of the extractive value of the herring aggregation. The Moalboal case indicates that a combination of strong community engagement in the governance of the ecotourism resource, a network of locally managed marine protected areas and the retention and distribution of economic benefits within the local community have led to a significant marine ecotourism sector. We contextualize these conditions into a set of potential enabling conditions for marine ecotourism as an Alternative Income Generating Activity to fishing to contribute insights to diversifying livelihood opportunities beyond extractive fishing for coastal communities in the tropics.
Crum, N.J., A.K. Fuller, C.S. Sutherland, E.G. Cooch, and J. Hurst. 2017. Estimating Occupancy Probability Of Moose In Northern New York Using Hunter Survey Data. Journal of Wildlife Management 81(3):521–534; 2017; DOI: 10.1002/jwmg.21207.	April 2017
Cook GM, Prince DJ, O’Rourke SM, King TL, Miller MR, Lewis CJ, Eackles MS, Lemons PR, Sethi SA, Olsen JB, Wenburg JK. (2020) A little SNP of this, a little SNP of that: the discovery of 116 single nucleotide polymorphism markers to enable the rapid identification of individual Pacific walrus (Odobenus rosmarus divergens). Conservation Genetics Resources, 12:555-565. \| Abstract	October 2020	We developed single nucleotide polymorphism (SNP) markers to support a genetics-based capture-mark-recapture (CMR) project implemented for the management of Pacific walrus (Odobenus rosmarus divergens). Using a combination of Restriction-site Associated DNA sequencing (RADSeq) and genome resequencing, 57,504 single nucleotide variants were identified from Pacific walrus DNA. RADSeq was performed on genomic DNA from 192 walruses (63 males; 94 females; 35 unknown sex) whereas genome resequencing was performed on 41 individual walruses (21 males, 20 females). All read mappings were subjected to quality-based variant detection and screened for SNPs. These efforts generated a pool of 909 putative SNPs from which 217 unique TaqMan® assays were developed for validation. Ultimately, 116 validated, biallelic SNPs were combined to create a genetic tag for identifying individual walrus during the multi-year CMR project. Conversion to a 116-SNP TaqMan® OpenArray® enabled use of a high-throughput genotyping qPCR platform, which expedited accurate discrimination of individual walrus and reduced the probability of genotyping errors, thereby providing improved resolution for assessing the size and demographic rates of this population.
Carey M, Sethi SA, Larsen S, Rich C. (2016) A primer on potential impacts, management priorities, and future directions for Elodea spp. in high latitude systems: learning from the Alaskan experience. Hydrobiologia 777:1-19. DOI: https://doi.org/10.1007/s10750-016-2767-x \| Abstract	September 2016	Invasive species introductions in Arctic and Subarctic ecosystems are growing as climate change manifests and human activity increases in high latitudes. The aquatic plants of the genus Elodea are potential invaders to Arctic and Subarctic ecosystems circumpolar and at least one species is already established in Alaska, USA. To illustrate the problems of preventing, eradicating, containing, and mitigating aquatic, invasive plants in Arctic and Subarctic ecosystems, we review the invasion dynamics of Elodea and provide recommendations for research and management efforts in Alaska. Foremost, we conclude the remoteness of Arctic and Subarctic systems such as Alaska is no longer a protective attribute against invasions, as transportation pathways now reach throughout these regions. Rather, high costs of operating in remote Arctic and Subarctic systems hinders detection of infestations and limits eradication or mitigation, emphasizing management priorities of prevention and containment of aquatic plant invaders in Alaska and other Arctic and Subarctic systems.
Campbell, J.W., Grodsky, S.M., Milne, M.A., Vigueira, P., Vigueira, C.C., Stern, E. and Greenberg, C.H. (2022). Prescribed fire and other fuel-reduction treatments alter ground spider assemblages in a Southern Appalachian hardwood forest. Forest Ecology and Management, 510, p.120127. doi:https://doi.org/10.1016/j.foreco.2022.120127. ‌	April 2022
Campbell, J. W., S. M. Grodsky, A. P. Monroe, and J. A. Martin. 2021. Bee (Apoidea) community response to perennial grass treatments managed for livestock production and conservation. Agriculture, Ecosystems and Environment. 313, 107391. doi:10.1016/j.agee.2021.107391.	March 2021
Calvert J, McGonigle C, Sethi SA, Harris B, Quinn R, Grabowski J. Dynamic occupancy modelling of temperate marine fish in area-based closures. Ecology and evolution 8:10192-10205. \| Abstract	September 2018	Species distribution models (SDMs) are commonly used to model the spatial structure of species in the marine environment, however, most fail to account for detectability of the target species. This can result in underestimates of occupancy, where nondetection is conflated with absence. The site occupancy model (SOM) overcomes this failure by treating occupancy as a latent variable of the model and incorporates a detection submodel to account for variability in detection rates. These have rarely been applied in the context of marine fish and never for the multiseason dynamic occupancy model (DOM). In this study, a DOM is developed for a designated species of concern, cusk (Brosme brosme), over a four‐season period. Making novel use of a high‐resolution 3‐dimensional hydrodynamic model, detectability of cusk is considered as a function of current speed and algae cover. Algal cover on the seabed is measured from video surveys to divide the study area into two distinct regions: those with canopy forming species of algae and those without (henceforth bottom types). Modeled estimates of the proportion of sites occupied in each season are 0.88, 0.45, 0.74, and 0.83. These are significantly greater than the proportion of occupied sites measured from underwater video observations which are 0.57, 0.28, 0.43, and 0.57. Individual fish are detected more frequently with increasing current speed in areas lacking canopy and less frequently with increasing current speed in areas with canopy. The results indicate that, where possible, SDM studies for all marine species should take account of detectability to avoid underestimating the proportion of sites occupied at a given study area. Sampling closed areas or areas of conservation often requires the use of nonphysical, low impact sampling methods like camera surveys. These methods inherently result in detection probabilities less than one, an issue compounded by time‐varying features of the environment that are rarely accounted for marine studies. This work highlights the use of modeled hydrodynamics as a tool to correct some of this imbalance.
Cagle, A. E., M. Shepard, S. M. Grodsky, A. Armstrong, S. M. Jordaan, and R. R. Hernandez. 2023. Standardized metrics to quantify solar energy-land relationships: A global systematic review. Frontiers in Sustainability.	April 2023
Buchanan B, Sethi SA, Cuppett S, Lung M, Jackman G, Zarri L, Duvall E, Dietrich J, Sullivan P, Dominitz A, Archibald J, Flecker A, Rahm B. (2022) A machine learning approach to identify barriers in stream networks demonstrates high prevalence of unmapped riverine dams. Journal of Environmental Management, 302:113952. \| Abstract	January 2022	Restoring stream ecosystem integrity by removing unused or derelict dams has become a priority for watershed conservation globally. However, efforts to restore connectivity are constrained by the availability of accurate dam inventories which often overlook smaller unmapped riverine dams. Here we develop and test a machine learning approach to identify unmapped dams using a combination of publicly available topographic and geospatial habitat data. Specifically, we trained a random forest classification algorithm to identify unmapped dams using digitally engineered predictor variables and known dam sites for validation. We applied our algorithm to two subbasins in the Hudson River watershed, USA, and quantified connectivity impacts, as well as evaluated a range of predictor sets to examine tradeoffs between classification accuracy and model parameterization effort. The random forest classifier achieved high accuracy in predicting dam sites (true positive rate = 89%, false positive rate = 1.2%) using a subset of variables related to stream slope and presence of upstream lentic habitats. Unmapped dams were prevalent throughout the two test watersheds. In fact, existing dam inventories underestimated the true number of dams by ~80-94%. Accounting for previously unmapped dams resulted in a 62-90% decrease in dendritic connectivity indices for migratory fishes. Unmapped dams may be pervasive and can dramatically bias stream connectivity information. However, we find that machine learning approaches can provide an accurate and scalable means of identifying unmapped dams that can guide efforts to develop accurate dam inventories, thereby informing and empowering efforts to better manage them.
Brown T, Sethi SA, Rudstam L, Holden J, Connerton M, Gorsky D, Karboski CT, Chalupnicki M, Sard NM, Roseman EF, Prindle SE, Sanderson JM, Evans TM, Cooper A, Reinhart DJ, Davis C, Weidel B. (2022) Contemporary spatial extent and environmental drivers of larval coregonine distributions across Lake Ontario. Journal of Great Lakes Research 48:359–370. \| Abstract	April 2022	Coregonine fishes are important to Laurentian Great Lakes food webs and fisheries and are central to basin-wide conservation initiatives. In Lake Ontario, binational management objectives include conserving and restoring spawning stocks of cisco (<i>Coregonus artedi</i>) and lake whitefish (<i>C. clupeaformis</i>), but the spatial extent of contemporary coregonine spawning habitat and the environmental factors regulating early life success are not well characterized. In Spring 2018, we conducted a binational ichthyoplankton assessment to describe the spatial extent of coregonine spawning habitat across Lake Ontario. We then quantified the relative importance of a suite of biophysical variables hypothesized to influence coregonine early life success using generalized additive mixed models and multimodel inference. Between April 10 – May 14, we conducted 1,092 ichthyoplankton tows and captured 2,350+ coregonine larvae across 17 sampling areas, predominantly within embayments. Although 95% of catches were in the eastern basin, coregonine larvae were also found in historical south shore spawning areas. Most coregonine larvae were cisco; less than 6% were lake whitefish. Observed catches of both species across sampling areas were strongly and similarly associated with ice cover duration, but the importance of site-specific characteristics varied, such as distance to shore and site depth for cisco and lake whitefish, respectively. These results suggest that regional-scale climatic drivers and local environmental habitat characteristics interact to regulate early life stage success. Furthermore, strong regional and cross-species variation in larval distributions emphasize the importance of lake-wide assessments for monitoring both the current eastern basin populations and potential expansions into western Lake Ontario habitats.
Bradley C, Sethi SA, Ashline J, Gerken J. (2017) Cohort-specific variation in juvenile coho salmon habitat use. Ecology of Freshwater Fish 26:695-706. DOI: 10.1111/eff.12317 \| Abstract	October 2017	In this study, we examined summer and fall freshwater rearing habitat use by juvenile coho salmon (Oncorhynchus kisutch) in the quickly urbanizing Big Lake drainage in southcentral Alaska. Habitat use was assessed by regressing fish count data against habitat survey information across thirty study sites using generalized linear mixed models. Habitat associations were examined by age-0 and age-1+ cohorts separately, providing an opportunity to compare habitat use across different juvenile coho salmon life stages during freshwater rearing. Regression results indicated that the age-0 cohorts were strongly associated with shallow wide stream reaches with in-stream vegetation, whereas age-1+ cohorts were associated with deeper stream reaches. Furthermore, associations between fork length and habitat characteristics suggest cohort-specific habitat use patterns are distinct from those attributable to fish size. Habitat use information generated from this study is being used to guide optimal fish passage restoration planning in the Big Lake drainage. Evidence for habitat use partitioning by age cohort during freshwater juvenile rearing indicates that pooling age cohorts into a single “juvenile” stage for the purposes of watershed management may mask important habitat use dynamics.
Bjorck, J., Q. Shi, C. Brown-Lima, J. Dean, A. Fuller, and C. Gomes. Learning augmented methods for matching: Improving invasive species management and urban mobility. Association for the Advancement of Artificial Intelligence. \| Abstract	April 2021	With the success of machine learning, integrating learned<br>models into real-world systems has become a critical challenge.<br>Naively applying predictions to combinatorial optimization<br>problems can incur high costs, which has motivated<br>researchers to consider learning augmented algorithms that<br>can make use of faulty or incomplete predictions. Inspired by<br>two matching problems in computational sustainability where<br>data are abundant, we consider the learning augmented min<br>weight matching problem where some nodes are revealed online<br>while others are known a priori, e.g., by being predicted<br>by machine learning. We develop an algorithm that is able<br>to make use of this extra information and provably improves<br>upon pessimistic online algorithms. We evaluate our algorithm<br>on two settings from computational sustainability – the<br>coordination of opportunistic citizen scientists for invasive<br>species management, and the matching between taxis and riders<br>under uncertain trip duration predictions. In both cases,<br>we perform extensive experiments on real-world datasets and<br>find that our method outperforms baselines, showing how<br>learning augmented algorithms can reliably improve solutions<br>for problems in computational sustainability.
Bjorck, J., B.H. Rappazzo, Q. Shi, C. Brown-Lima, J. Dean, A. Fuller, and C. Gomes. Accelerating ecological sciences from above: Spatial contrastive learning for remote sensing. Association for the Advancement of Artificial Intelligence.	April 2021
Beever E, Sethi SA, Prange IS, DellaSalla DA. Chapter I: Introduction, in Disturbance Ecology and Biological Diversity: Scale, Context, and Nature. E. Beever (Ed.), Taylor and Francis, New York. \| Abstract	August 2020	Disturbances drive ecosystems, and our understanding of how disturbances interact with biological diversity and scales of space, time, and ecological complexity has matured over a century of advancement in ecology since early ideas of perturbations and community organization were first formalized. Throughout this book, we approach a set of unifying framing questions for disturbance ecology, including: How can disturbances be categorized in meaningful ways? How do we address scale in disturbance ecology? How does geographic context influence ecological consequences of disturbance, in the near and longer terms? In this introductory chapter, we provide an overview of disturbance ecology and the related topics of diversity and scale that are fundamental to understanding the dynamics of perturbed ecosystems. Subsequently, we outline recent advances in disturbance ecology, which have facilitated greater understanding about dynamic systems and context dependencies. These, in turn, have provided richer insights into the complex manner in which ecosystems change under stress. We survey analytical and methodological advances that are expanding the data flows available to inform disturbance ecology as well as the statistical tools available to investigate disturbance dynamics and ecosystem structure and function. Finally, we lay out four core themes threaded through the remainder of the book: 1) fundamental mechanisms related to ecological theory drive complex system behaviors, including the existence of thresholds; 2) dynamics of ecological disturbance are context-dependent and can be unpredictable, 3) antecedent conditions and the legacies of past disturbances influence contemporary ecosystem dynamics, and 4) natural and anthropogenic disturbances interact in complex ways. Summaries are provided for each of the book’s remaining chapters, highlighting how that material relates to these four core themes. In sum, in this introductory chapter we seek to set a foundation for concepts to ground the remainder of the book. By highlighting constraints in past research and identifying research frontiers, we hope to provide a path towards moving the field of disturbance ecology forward, both throughout the book and beyond.
Beatty WS, Lemons PR, Sethi SA, Everett J, Lewis CJ, Lynn RJ, Cook GM, Garlich-Miller JL, Wenburg JK. (2020) Panmixia in a sea ice-associated marine mammal: evaluating genetic structure of the Pacific walrus (Odobenus rosmarus divergens) at multiple spatial scales. Journal of Mammalogy 101:755-765. \| Abstract	July 2020	The kin structure of a species at relatively fine spatial scales impacts broad-scale patterns in genetic structure at the population level. However, kin structure rarely has been elucidated for migratory marine mammals. The Pacific walrus (<i>Odobenus rosmarus divergens</i>) exhibits migratory behavior linked to seasonal patterns in sea ice dynamics. Consequently, information on the spatial genetic structure of the subspecies, including kin structure, could aid wildlife managers in designing future studies to evaluate the impacts of sea ice loss on the subspecies. We sampled 8,303 individual walruses over a 5-year period and used 114 single-nucleotide polymorphisms to examine both broad-scale patterns in genetic structure and fine-scale patterns in relatedness. We did not detect any evidence of genetic structure at broad spatial scales, with low <i>F</i><sub>ST</sub> values (≤ 0.001) across all pairs of putative aggregations. To evaluate kin structure at fine spatial scales, we defined a walrus group as a cluster of resting individuals that were less than one walrus body length apart. We found weak evidence of kin structure at fine spatial scales, with 3.72% of groups exhibiting mean relatedness values greater than expected by chance, and a significantly higher overall observed mean value of relatedness within groups than expected by chance. Thus, the high spatiotemporal variation in the distribution of resources in the Pacific Arctic environment likely has favored a gregarious social system in Pacific walruses, with unrelated animals forming temporary associations.
Beatty W, Lemons P, Everett JP, Lewis CJ, Taylor RL, Lynn RJ, Sethi SA, Quakenbush L, Citta J, Kissling M, Kryukova N, Wenburg JK (2022) Estimating Pacific walrus abundance and survival with multievent mark-recapture models. Marine Ecology Progress Series 697:167-182.	September 2022
Augustine, B.C., J.A. Royle, D.W. Linden, and A.K. Fuller. 2020. Spatial proximity moderates genotype uncertainty in genetic tagging studies. Proceedings of the National Academy of Sciences https://doi.org/10.1101/2020.01.01.892463 \| Abstract	July 2020	Accelerating declines of an increasing number of animal populations worldwide necessitate methods to reliably and efficiently estimate demographic parameters such as population density and trajectory. Standard methods for estimating demographic parameters from noninvasive genetic samples are inefficient because lower-quality samples cannot be used, and they assume individuals are identified without error. We introduce the genotype spatial partial identity model (gSPIM), which integrates a genetic classification model with a spatial population model to combine both spatial and genetic information, thus reducing genotype uncertainty and increasing the precision of demographic parameter estimates. We apply this model to data from a study of fishers (<i>Pekania pennanti</i>) in which 37% of hair samples were originally discarded because of uncertainty in individual identity. The gSPIM density estimate using all collected samples was 25% more precise than the original density estimate, and the model identified and corrected three errors in the original individual identity assignments. A simulation study demonstrated that our model increased the accuracy and precision of density estimates 63 and 42%, respectively, using three replicated assignments (e.g., PCRs for microsatellites) per genetic sample. Further, the simulations showed that the gSPIM model parameters are identifiable with only one replicated assignment per sample and that accuracy and precision are relatively insensitive to the number of replicated assignments for high-quality samples. Current genotyping protocols devote the majority of resources to replicating and confirming high-quality samples, but when using the gSPIM, genotyping protocols could be more efficient by devoting more resources to low-quality samples.
Andres KA, Sethi SA, Lodge D, Andres J. (2021) Nuclear eDNA estimates population allele frequencies and abundance in experimental mesocosms and field samples. Molecular Ecology, 30:658-697. \| Abstract	February 2021	Advances in environmental DNA (eDNA) methodologies have led to improvements in the ability to detect species and communities in aquatic environments, yet the majority of studies emphasize biological diversity at the species level by targeting variable sites within the mitochondrial genome. Here, we demonstrate that eDNA approaches also have the capacity to detect intraspecific diversity in the nuclear genome, allowing for assessments of population-level genetic diversity and estimates of the number of genetic contributors in a sample. Using a panel of microsatellite loci, we evaluated intraspecific genetic diversity in the round goby (<i>Neogobius melanostomus</i>) using eDNA samples from experimental mesocosms. First, we tested the similarity between eDNA and individual tissue-based estimates of allele frequencies. Subsequently, we used a likelihood-based DNA mixture framework to estimate the number of unique genetic contributors in mesocosm eDNA samples and in simulated mixtures of alleles. Allele frequencies from eDNA accurately reflected allele frequencies from genotyped round goby tissue samples, indicating nuclear markers can be reliably amplified from water samples under controlled conditions. DNA mixture analyses were able to estimate the number of genetic contributors from eDNA samples and simulated mixtures of DNA from up to 58 individuals, with the degree of positive or negative bias dependent on the filtering scheme of low-frequency alleles. This study is the first to document the application of eDNA and multiple amplicon-based methods to obtain intraspecific nuclear genetic information and estimate the absolute abundance of a species in mesocosms. With proper validation, this approach has the potential to advance non-invasive survey methods to characterize populations and broadens the application of eDNA methodologies to inform population-level management objectives.
Andres K, Sethi SA, Duskey E, Lepak JM, Rice AN, Estabrook B, Fitzpatrick K, George E, Marcy-Quay B, Paufve M, Perkins K, Scofield AE. (2020) Seasonal habitat use indicates depth may mediate the potential for invasive round goby impacts in inland lakes. Freshwater Biology 65:1337-1347. \| Abstract	August 2020	<b>1.</b> The round goby (<i>Neogobius melanostomus</i>) is among the fastest-spreading introduced aquatic species in North America and is radiating inland from the Great Lakes into freshwater ecosystems across the landscape. Predicting and managing the impacts of round gobies requires information on the factors influencing their distribution in habitats along the invasion front, yet this information is not available for many recently-invaded ecosystems.<br><b>2.</b> We evaluated the seasonal habitat use and biomass of round gobies in an inland temperate lake to define the spatiotemporal scope of biological interactions at the leading edge of the round goby invasion.<br><b>3.</b> Using novel statistical approaches, we combine hierarchical models that control for imperfect species detection with flexible smooth terms to describe nonlinear relationships between round goby abundance and environmental gradients. Subsequently, we generate accurate detection-corrected estimates of the standing stock biomass of round gobies.<br><b>4.</b> Our results show seasonally differentiated habitat niches, where suitable round goby habitat in summer months is restricted to shallow depths (<18.4 m) with a mixture of vegetative and mussel cover. We found high round goby biomass of 122 kg ha<sup>-1</sup> in occupied habitats during the summer, with a total lake-wide biomass of 766,000 kg. In winter, gobies migrate to deep offshore habitats and disperse, dramatically altering their scope for biological interactions with resident aquatic species across summer and winter seasons.<br><b>5.</b> The results of this study indicate that the scope of biological interactions in inland lakes may be seasonally variable, with potential for high round goby biomass in shallow lakes or at the periphery of deep lakes in the summer months. Such shallow-water habitats may therefore present higher risk of ecological impacts from round gobies in invaded lentic ecosystems. As round gobies expand inland, consideration of seasonal habitat use may be an important factor in predicting the impacts of this pervasive invader.
Almeida, R. M., R. Schmitt, S. M. Grodsky, A. S. Flecker, C. P. Gomes, L. Zhao, H. Lu, N. Barros, R. Kelman, and P. B. McIntyre. 2022. Floating solar. Evaluate trade-offs. Nature.	June 2022
Almeida R, Shi Q, Gomes-Selman JM, Barros N, Forsberg B, Garcia-Villacorta R, Hamilton SK, Melack JM, Perez G, Sethi SA, Gomes CP, Flecker AS. Reducing greenhouse gas emissions of Amazon hydropower with optimal dam planning. Nature Communications 12:4281 \| Abstract	September 2019	Hundreds of hydropower dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially low emissions source of renewable energy, some hydropower projects produce high greenhouse gas (GHG) emissions per unit electricity generated (“carbon intensity”). We develop a basin-wide computational optimization framework to quantify the potential carbon intensities of 158 existing and 351 proposed hydropower dams in the Amazon basin. Results indicate carbon intensities of upland dams (median = 37 kg CO2eq MWh-1, 100-year horizon) may be comparable with solar and wind energy, whereas some lowland dams (median = 175 kg CO2eq MWh-1, 100-year horizon) may exceed carbon intensities of fossil-fuel power plants. Our analysis framework indicates that low-carbon expansion of hydropower may benefit from optimization-based planning, where basin-scale analysis that considers GHG emissions along with multiple social and ecological decision indicators associated with dams may advance sustainable energy development in regions where new hydropower is contemplated.
Almeida R, Fleischmann A, Brêda JPF, Cardoso DS, Angarita H, Collischonn W, Forsberg B, García-Villacorta R, Hamilton SK, Hannam PM, Paiva R, Poff NL, Sethi SA, Shi Q, Gomes C, Flecker AS. (2021) Climate change may impair electricity generation and economic viability of future Amazon hydropower. Global Environmental Change, 71:102383. \| Abstract	November 2021	Numerous hydropower facilities are under construction or planned in tropical and subtropical rivers worldwide. While dams are typically designed considering historic river discharge regimes, climate change may induce large-scale alterations in river hydrology. Here we analyze how anticipated future climate change may affect river hydrology, electricity generation, and economic viability of >350 potential hydropower dams across the Amazon, Earth’s largest river basin and a global hotspot for future hydropower development. Midcentury projections for the RCP 4.5 and 8.5 climate change scenarios show basin-wide reductions of river discharge (means, 13 and 16%, respectively) and hydropower generation (19 and 27%). Declines are sharper for dams in the Brazilian Amazon, which harbors 60% of the proposed projects. Climate change may result in more frequent low-discharge interruption of hydropower generation and less frequent full-capacity operation. Consequently, the estimated minimum electricity sale price for projects to break even more than doubles at many proposed dams, impacting anticipated costs of proposed hydropower relative to alternative energy sources such as wind and solar.
Abbate, A. P, J. W. Campbell, S. M. Grodsky, and G. R. Williams. 2023. Assessing the attractiveness of native wildflower species to bees (Hymenoptera) in the southeastern United States. Ecological Solutions and Evidence.	July 2024
Heilpern S, Sethi SA, Barthem RB, Doria CRC, Garcia-Vasquez A, Goulding M, Isaac V, Batista V, Duponchelle F, Naeem S, Flecker AS (2022) Biodiversity underpins fisheries resilience to exploitation in the Amazon river basin. Proceedings of the Royal Society B 389:20220726 \| Abstract	July 2022	Inland fisheries provide nutrition and livelihoods for many globally, yet their status is rarely assessed due to their socio-ecological complexity and pervasive lack of data. Here we leverage an unprecedented landings time series from the Amazon, Earth’s largest river basin, together with theoretical models to examine (i) taxonomic and trait-based signatures of exploitation in inland fish landings, and (ii) implications of changing biodiversity for fisheries resilience. We find multispecies exploitation typical of diverse inland fisheries results in a hump-shaped landings evenness curve. Along this trajectory, the sequential replacement of abundant and large species with faster growing and smaller species can maintain harvest for a period of time. But, continued biodiversity depletion reduces the pool of compensating species and consequently diminishes fisheries resilience. Importantly, higher biodiversity can delay fishery collapse. We conclude that a hump-shaped trajectory in landings evenness could characterize multispecies inland fisheries and aid in assessing their sustainability.

Presentations

Presentations	Presentation Date
“Working at the margin of social, ecological, and quantitative sciences to advance fisheries management,” SA Sethi, Invited seminar, University of Alaska-Anchorage, 2022.	June 2022	Interdisciplinary work to support fisheries management.
“The role of invasive Round Goby in the Great Lakes basin,” J Lepak et al. (SA Sethi 2nd) NY Chapter American Fisheries Society, Cooperstown, NY	February 2018	The role of invasive Round Goby in the Great Lakes basin
“The impact of predator-prey dynamics on the future sustainability of an intensively managed fishery’” K Fitzpatrick et al. (SA Sethi 2nd), Department of Natural Resources Graduate Student Symposium, online conference, February 2021.	February 2021	Jointly estimated predator-prey dynamics for Lake Ontario fisheries management.
“The global habitat cost of wild seafood production: solutions to overcome these tradeoffs,” TS Smeltz et al. (SA Sethi 2nd), Alaska Marine Science Symposium, Anchorage, AK.	January 2020	We develop a tool for spatial management of seafloor ecosystems.
“Status of round goby in the Mohawk and Hudson Rivers,”,” S. George et al. (SA Sethi 6^th), American Fisheries Society NY Chapter annual meeting, 2022.	March 2022	Round goby invasion update.
“Spawning habitat and reproductive strategies of Cisco in the Great Lakes,” M Paurve et al. (SA Sethi 2nd), NY Chapter American Fisheries Society, Poughkeepsie, NY.	February 2019	Cisco habitat ecology.
“Spawning and incubation habitat of Cisco (Coregonus artedi) in the Great Lakes,” M Paufve et al. (SA Sethi 2nd), International Association for Great Lakes Research, Toronto, Canada.	June 2018	Spawning and incubation habitat of Cisco (Coregonus artedi) in the Great Lakes
“Secondary effects and fate of fluridone used to eradicate Elodea.” J Morton et al. (SA Sethi 2nd), Annual Invasive Species Workshop of the AK Committee for Invasives Management, Anchorage, AK.	October 2017	Secondary effects and fate of fluridone used to eradicate Elodea.
“Seascape-level fishing impacts modeling to assess tradeoffs between spatial closures and gear modifications,” T Smeltz et al. (SA Sethi 2nd), International Council for Exploration of the Sea FTFB Working Group, Hirtshals, Denmark.	June 2018	Seascape-level fishing impacts modeling to assess tradeoffs between spatial closures and gear modifications
“Saildrone acoustics surveys to provide insight into vessel avoidance by fishes,” T Evans et al. (SA Sethi 3^rd), Cornell Biological Field Station, Invited seminar, 2022.	September 2022	Saildrone automation of fisheries acoustics surveys.
“Saildrone acoustics surveys provide insight into vessel avoidance by fishes,” T.M. Evans et al. (SA Sethi 4^th), Joint Aquatic Science Meeting (Am. Fish. Soc. and 8 other organizations) annual meeting, Grand Rapids, MI, 2022.	May 2022	Application of Saildrone to automate fisheries acoustics surveys.
“Responding to ecosystem transformation: Resist, Accept, or Direct?” L Thompson et al. (SA Sethi 15th), Joint AFS-TWS National Meeting, Reno NV.	October 2019	We assess strategies for management under ecosystem transformation.
“Resist-Accept-Direct (RAD) adaptive management,” A. Lynch et al. (SA Sethi 14^th), Invited seminar, National Conservation Training Center, U.S. Department of Interior, 2022.	January 2022	Resist-Accept-Direct provides a decision framework for coping with ecosystem transformation.
“Regional and local drivers combine to structure mussel growth and mortality,” SA Sethi et al. Alaska Marine Science Symposium, Anchorage, AK.	January 2018	Regional and local drivers combine to structure mussel growth and mortality
“Rapid response for invasive waterweeds in temperate lakes: assessment of collateral ecological impacts from herbicide treatments,” SA Sethi et al., NY Chapter American Fisheries Society, Cooperstown, NY	February 2018	Rapid response for invasive waterweeds in temperate lakes: assessment of collateral ecological impacts from herbicide treatments
“Rapid response for invasive waterweeds in high latitude systems: assessment of collateral impacts from herbicide treatment,” SA Sethi et al., Western Division American Fisheries Society, Anchorage, AK.	May 2018	Rapid response for invasive waterweeds in high latitude systems: assessment of collateral impacts from herbicide treatment
“Predator‐prey population dynamics model for Lake Ontario salmon management.,” K Fitzpatrick & SA Sethi, NY Chapter American Fisheries Society, Cooperstown, NY	February 2018	Predator‐prey population dynamics model for Lake Ontario salmon management
“Predator-prey population dynamics modeling for Chinook salmon and alewife in Lake Ontario,” KB Fitzpatrick et al. (SA Sethi 2nd), NY American Fisheries Society Annual Meeting, Lake Placid, NY.	February 2020	We develop a novel multi-species stock assessment for Lake Ontario.
“Predator-prey population dynamics modeling for Chinook salmon and alewife in Lake Ontario,” K Fitzpatrick et al. (SA Sethi 8th), International Association for Great Lakes Research, Brockport, NY.	June 2019	Pred prey stock assessment methods.
“Predator-prey population dynamics modeling for Chinook Salmon and Alewife in Lake Ontario” K. Fitzpatrick et al. (SA Sethi 2nd), NY American Fisheries Society, online conference, February 2021.	February 2021	Lake Ontario multispecies stock assessment.
“Predator-prey population dynamics model for Chinook Salmon management,” K Fitzpatrick & SA Sethi. Lake Ontario Technical Committee annual meeting, Clayton, NY.	November 2017	Predator-prey population dynamics model for Chinook Salmon management
“Parentage-Based Tagging to support the conservation and management of inland fish populations,” K. Fitzpatrick et al. (SA Sethi 5^th), Joint Aquatic Science Meeting (Am. Fish. Soc. and 8 other organizations) annual meeting, Grand Rapids, MI, 2022.	May 2022	Parentage based tagging to monitor naturalized recruitment in the Lake Ontario salmon fishery.
“Optimal dynamic spatial closures can improve fishery yield and reduce fishing-induced habitat damage,” A Poulton et al. (SA Sethi 2^nd), Ecological Society of America annual meeting, Montreal, 2022.	August 2022	Dynamic spatial closures show promise as fisheries management options.
“Observing halibut survival after trawler deck-release with satellite tags.” C Rose et al. (SA Sethi 2nd), North Pacific Fishery Management Council, Anchorage, AK.	October 2017	Observing halibut survival after trawler deck-release with satellite tags
“Observing halibut survival after trawler deck-release with satellite tags,” C. Rose et al. (SA Sethi 5th). International Flatfish Symposium, St Malo, France	November 2017	Observing halibut survival after trawler deck-release with satellite tags
“Novel environmental DNA methods for monitoring population genetics of an invasive species,” K Andres et al. (SA Sethi 2nd), Society for Freshwater Science, Salt Lake City, UT.	May 2019	Novel genetics tools for eDNA.
“Novel eDNA methods for monitoring the population genetics of invasive species,” K Andres et al. (SA Sethi 2nd), International Association for Great Lakes Research, Brockport, NY.	June 2019	Novel eDNA tools.
“Navigating tradeoffs between hydropower proliferation and ecosystem services across the Amazon basin using a computational sustainability approach,” AS Flecker et al. (SA Sethi 6th), Ecological Society of America Annual Meeting, Virtual Conference 2020.	August 2020	We develop multi-criteria optimization tools for managing river network habitats.
“Multispecies statistical catch at age stock assessment model for Lake Ontario fisheries: indicators of predator prey balance” K Fitzpatrick et al. (SA Sethi 2nd), Lake Ontario Technical Committee, invited seminar, July 2021.	July 2021	Multispecies stock assessment for Lake Ontario fisheries management.
“Moving to a lake-wide understanding of early life-history habitat for Lake Ontario Coregonines,” T Brown et al. (SA Sethi 2nd), NY Chapter American Fisheries Society, Poughkeepsie, NY.	February 2019	Cisco ecology.
“Monitoring survival of trawler deck-released pacific halibut using satellite reporting accelerometer tags,” C. Rose et al. (SA Sethi 4th), Alaska Marine Science Symposium, Anchorage, AK.	January 2018	Monitoring survival of trawler deck-released pacific halibut using satellite reporting accelerometer tags
“Modeling Chinook salmon population dynamics in Lake Ontario,” K Fitzpatrick et al. (SA Sethi 7th), NY Chapter American Fisheries Society, Poughkeepsie, NY.	February 2019	Chinook alewife stock assessment.
“Minimizing cost and uncertainty: assessing marking techniques to distinguish stocked and wild fish” K Fitzpatrick et al. (SA Sethi 2nd), International Association for Great Lakes Research, online conference, May 2021.	May 2021	Mass marking techniques for fish.
“Marine fisheries management: goals, strategies, and case studies,” SA Sethi, Department of Natural Resources and the Environment, NTRES 3110 Fish Ecology, Conservation, and Management Cornell University, invited seminar, 2022.	April 2022	A survey of sustainable fisheries management.
“MSCAA model for Lake Ontario: predator prey dynamics update,” K Fitzpatrick et al. (SA Sethi 2nd), Lake Ontario Technical Committee Predator-Prey Science workshop, invited seminar, September 2021.	September 2021	Stock assessment for Lake Ontario fisheries management.
“Life history informed watershed connectivity restoration: win-win investments into salmon ecology,” SA Sethi, invited lecture, Alaska Pacific Univesity, Anchorage, AK.	January 2018	Life history informed watershed connectivity restoration: win-win investments into salmon ecology
“Life history consequences of connectivity loss for salmon bearing watersheds: juvenile coho salmon growth” SA Sethi et al., Cornell Biological Field Station, invited seminar, April 2021.	April 2021	River fragmentation impacts on salmon.
“Launch of the first CPIC Conservation Finance report” J Baralon, J Tobin, SA Sethi, Coalition for Private Investment in Conservation Members Meeting, invited presentation, September 2021.	September 2021	State of investments in conservation.
“Is environmental DNA ready for population genetics? Estimating genetic diversity and absolute abundance of an invasive species with nuclear eDNA,” KJ Andres et al. (SA Sethi 2nd), Ecological Society of America Annual Meeting, Virtual Conference 2020.	August 2020	We advance novel statistical tools for eDNA analysis.
“Innovation across scales to support ecosystem assessment and management,” SA Sethi, invited lecture, U of AK.	October 2018	Invited presentation.
“Guiding principles for managing ecosystem transformation,” A Lynch et al. (SA Sethi 15th), Joint AFS-TWS National Meeting, Reno NV.	October 2019	We assess strategies for managing ecosystem transformation.
“Genetic variation in environmental samples as a metric of species’ abundance,” K Andres et al. (SA Sethi 2^nd), Second National Workshop on Marine eDNA, Costa Mesa, CA, 2022.	September 2022	Novel eDNA tools expand opportunities for assessing aquatic organisms.
“Genetic structure of the Pacific walrus at multiple spatial scales,” W Beatty et al. (SA Sethi 3^rd), Joint AFS-TWS National Meeting, Reno NV.	October 2019	We assess Pacific walrus genetic structure.
“Fishing down the food chain: the state of our fisheries,” SA Sethi. Invited lecture, Introduction to Conservation Science (NTRES 2670), Cornell University, NY.	November 2017	Fishing down the food chain: the state of our fisheries
“Fisheries connectivity optimization under Amazon hydropower proliferation,” Q. Shi et al. (SA Sethi 2nd), Computation Sustainability Net working group on Amazon Dams annual meeting, Miami, FL.	March 2018	Fisheries connectivity optimization under Amazon hydropower proliferation
“Financing nature,” SA Sethi et al., Ecological Society of America Annual Meeting, Virtual Conference 2020.	August 2020	We assess the global biodiversity conservation resource gap.
“Financing Nature: expert discussion of mechanisms and milestones,” J Tobin et al. (SA Sethi 2nd), Invited keynote presentation, Cornell Atkinson Center for Sustainability, online distributed platform, October 2020.	October 2020	Discussion of global conservation trends.
“Exploring the ecological and evolutionary impacts of sustained invasive species suppression,” L. Zarri et al. (SA Sethi 5^th), Joint Aquatic Science Meeting (Am. Fish. Soc. and 8 other organizations) annual meeting, Grand Rapids, MI, 2022.	May 2022	Impacts of sustained species supression on invasive fish populations.
“Expanding the feasibility of fish and wildlife assessments with close-kin mark-recapture,” B Marcy-Quay et al. (SA Sethi 2nd), NY American Fisheries Society Annual Meeting, Lake Placid, NY.	February 2020	We develop novel applications of genetic mark recapture for fisheries.
“Evaluating survival of juvenile Cisco (Coregonus artedi) re-introduced to Keuka Lake through acoustic telemetry,” A. Koeberle et al. (SA Sethi 2^nd), American Fisheries Society NY Chapter annual meeting, 2022	March 2022	Novel tagging of Cisco and time to event modeling to estimate survival of stocked fish.
“Estimating the number of contributors to DNA mixtures provides a novel tool for ecology,” SA Sethi et al., NY Chapter American Fisheries Society, Poughkeepsie, NY.	February 2019	Novel genetics tool.
“Estimating survival and movement of stocked juvenile Coregonines using small acoustic tags,” G Scholten et al. (SA Sethi 2nd), International Association for Great Lakes Research, Brockport, NY.	June 2019	“Estimating survival and movement of stocked juvenile Coregonines using small acoustic tags,” G Scholten et al. (SA Sethi 2nd), International Association for Great Lakes Research, Brockport, NY.
“Estimating denning date of wolves with daily movement and GPS location fix failure,” P. Walsh et al. (SA Sethi 2nd), Alaska Chapter of the Wildlife Society, Anchorage, AK.	March 2018	Estimating denning date of wolves with daily movement and GPS location fix failure
“Estimating Pacific walrus abundance and survival with multievent mark-recapture models,” W Beatty et al. (SA Sethi 7^th), Society for Marine Mammal Science annual meeting, Palm Beach, FL, 2022.	August 2022	We estimate abundance of Pacific Walrus.
“Elodea may mediate juvenile salmon growth by altering physical structure,” M. Carey et al. (SA Sethi 3^rd), Alaska Invasive Species Partnership Workshop, online conference, 2022.	October 2022	Here we investigate ecological impacts of invasive Elodea on salmon.
“Efficiently optimizing for dendritic connectivity on tree-structured networks in a multi-objective framework,” Q Shi et al. (SA Sethi 4th), Conference on Computing & Sustainable Societies, Menlo Park, CA.	June 2018	Efficiently optimizing for dendritic connectivity on tree-structured networks in a multi-objective framework
“Efficiently approximating the Pareto frontier in multi-objective optimization problems: Insights from hydropower dam placement in the Amazon Basin,” Q Shi et al. (SA Sethi 9th), Ecological Society of America Annual Meeting, Virtual Conference 2020.	August 2020	We develop novel computation tools for river network habitat management.
“Early successes of a multi-agency study to quantify and correct for biases in acoustic fish abundance estimates in the Great Lakes,” P. Esselman et al. (SA Sethi 8^th), Joint Aquatic Science Meeting (Am. Fish. Soc. and 8 other organizations) annual meeting, Grand Rapids, MI, 2022.	May 2022	Collaborative research to advance saildrone fisheries acoustics.
“Distributions of sympatric Cisco and Lake Whitefish larvae in Lake Ontario embayments,” T. Brown et al. (SA Sethi 2^nd), Joint Aquatic Science Meeting (Am. Fish. Soc. and 8 other organizations) annual meeting, Grand Rapids, MI, 2022.	May 2022	Larval distribution of native Cisco in Lake Ontario.
“Determining how Elodea spp. impacts fish performance in Subarctic food webs” M. Carey et al. (SA Sethi 3rd), AK American Fisheries Society, online conference, March 2021.	March 2021	Aquatic invasive plants in Alaska.
“Dams and greenhouse gases: Is hydropower a green alternative in the Amazon?,” R Almeida et al. (SA Sethi 6th), Congreso AQUATROP, Quito, Ecuador.	July 2018	Dams and greenhouse gases: Is hydropower a green alternative in the Amazon?
“Damming the Amazon: evaluating tradeoffs between hydropower and ecosystem services using a computation sustainability approach,” A. Flecker et al. (SA Sethi 4th), Society for Freshwater Science, Detroit, MI.	May 2018	Damming the Amazon: evaluating tradeoffs between hydropower and ecosystem services using a computation sustainability approach
“DNA mixtures for ecology,” SA Sethi et al., Western Division American Fisheries Society, Anchorage, AK.	May 2018	DNA mixtures for ecology
“Contemporary spatial extent and environmental drivers of larval coregonine distributions across Lake Ontario” T Brown et al. (SA Sethi 2nd), State of Lake Ontario Conference, International Association for Great Lakes Research, online conference, March 2021.	March 2021	Early life history of native forage fish in the Great Lakes.
“Contemporary spatial extent and environmental drivers of larval Coregonine distributions across Lake Ontario,” T Brown et al. (SA Sethi 2nd), NY American Fisheries Society Annual Meeting, Lake Placid, NY.	February 2020	We assess the stock status of native coregonines in Lake Ontario.
“Community consequences of indiscriminate overharvest in large tropical rivers,” S Heilpern et al. (SA Sethi 2nd), Ecological Society of America, Louisville, KY.	August 2019	Novel biodiversity assessment tools for inland fisheries.
“Community consequences of indiscriminate overfishing in large tropical rivers,” S Heilpern et al. (SA Sethi 2nd), Society for Freshwater Science, Salt Lake City, UT.	May 2019	Novel fishery assessment tools via biodiveristy metrics.
“Combining fisheries surveys to inform marine species distribution modelling,” M Moriarty et al. (SA Sethi 5th), 2nd Annual Ecology and Evolution Ireland Conference, Galway, Ireland.	January 2019	International presentation on fisheries management.
“Cisco restoration in Keuka lake,” A Koeberle et al. (SA Sethi 2^nd), Cornell Limnology Lab, invited presentation, 2022.	September 2022	Novel tagging and statistical approaches unlock demographic modeling opportunities for juvenile fish.
“Chinook Salmon and Alewife:A predator-prey approach to fisheries management,” Fitzpatrick K, SA Sethi, invited lecture, Tompkins County ‘In Your Own Backyard’ Science Symposium, Ithaca Public Library, Ithaca, NY.	April 2019	Local stakeholder engagement.
“Characterizing the spawning and incubation habitat of Cisco Coregonus artedi in the Great Lakes,” M Paufve et al. (SA Sethi 2nd), NY Chapter American Fisheries Society, Cooperstown, NY	February 2018	Characterizing the spawning and incubation habitat of Cisco Coregonus artedi in the Great Lakes
“Characterizing the ecological niche of invasive round goby in inland lakes,” SA Sethi et al., International Association for Great Lakes Research, Toronto, Canada.	June 2018	Characterizing the ecological niche of invasive round goby in inland lakes
“Characterizing the ecological niche of invasive round goby in Cayuga Lake,” SA Sethi et al. Finger Lakes Research Conference, Geneva, NY.	November 2017	Characterizing the ecological niche of invasive round goby in Cayuga Lake
“Balancing predator consumption and prey availability in an intensively managed fishery: a multispecies statistical catch-at-age model for lake ontario,” KB Fitzpatric et al. (SA Sethi 11th), American Fisheries Society Annual Meeting, Virtual Conference 2020.	September 2020	We develop a novel multi-species stock assessment for Lake Ontario fisheries management.
“As if it wasn’t already hard enough: dealing with imperfect detection in ecological data,” SA Sethi, Invited Seminar at Alaska Pacific University, Anchorage, AK.	May 2018	As if it wasn’t already hard enough: dealing with imperfect detection in ecological data
“Acoustic telemetry to evaluate survival of post-stocked juvenile Cisco to Keuka Lake, New York,”,” A. Koeberle et al. (SA Sethi 2^nd), Great Lakes Acoustic Telemetry Observing System annual meeting, invited seminar, 2022	March 2022	Novel use of acoustic tags and time to event modeling are demonstrated for estimating stocked fish survival.
“Acoustic telemetry to evaluate native Cisco reintroductions to Keuka Lake,” A. Koeberle et al. (SA Sethi 2^nd), Cornell Biological Field Station, invited seminar, 2022.	February 2022	We deploy acoustic tags to track survival of stocked fish.
“Acoustic telemetry and edna to evaluate a native Cisco (Coregonus artedi) reintroduction in the Finger Lakes,” A. Koeberle et al. (SA Sethi 8^th), Joint Aquatic Science Meeting (Am. Fish. Soc. and 8 other organizations) annual meeting, Grand Rapids, MI, 2022.	May 2022	We show how time to event modeling and novel acoustics tags enable juvenile fish survival estimation.
“A seascape scale fishing impacts model to assess tradeoffs between spatial closures and gear modifications,” T Smeltz et al. (SA Sethi 2nd), Western Division American Fisheries Society, Anchorage, AK.	May 2018	A seascape scale fishing impacts model to assess tradeoffs between spatial closures and gear modifications
“A seascape scale fishing impacts model to assess tradeoffs between spatial closures and gear modifications,” S Smeltz, SA Sethi, B Harris. Alaska Marine Science Symposium, Anchorage, AK.	January 2018	A seascape scale fishing impacts model to assess tradeoffs between spatial closures and gear modifications
“A rapid social threshold may lead to long-term ecological transformation by invasive hippos in Colombia,” SA Sethi et al., Joint AFS-TWS National Meeting, Reno NV.	October 2019	We assess unfolding social-ecological ecosystem transformations.
Yapoujian, W., J.A. Grauer, and A.K. Fuller^.Species responses to visual and olfactory lures at Adirondack camera trap stations. 79th Northeast Fish and Wildlife Conference. Hyanis, MA. April 23, 2024	April 2024	The olfactory lure increased detection of bear and fisher and decreased detection of deer, while the visual lure decreased detection of moose. Detection for all species except fisher increased with the number of camera days, and detections for all species except coyote changed quadratically with date of the year.
Woolridge, R., and A.K. Fuller. Population ecology of fishers in NY. NYSDEC winter fur team meeting. January 24, 2022.	January 2022	research update to fur team
Woolridge, R., and A.K. Fuller. Harvest related management of fishers across New York State. Cornell University DNRE Research Symposium. January 20, 2022.	January 2022	Harvest management of fishers in NY.
Woolridge, R., M. Watson, and A.K. Fuller. Harvest management of fishers in NY. NYSDEC fisher research meeting. Reynolds game farm, Ithaca, NY. May 17, 2022.	May 2022	research update to fisher management team
Wong, A., and A.K. Fuller. Assessing parasitic threats to moose in the Adirondacks of New York. New York Chapter of The Wildlife Society Annual Meeting. Albany, NY. 12 April, 2016	April 2016	Assessing parasitic threats to moose in the Adirondacks of New York
Wong, A., and A.K. Fuller. 2017. Moose density and connectivity in the Adirondacks. Adirondack Research Forum. Old Forge, NY. 1 March, 2017.	March 2017	Moose density and connectivity in the Adirondacks
Wong, A., A.K. Fuller, and J.A. Royle. Modeling point pattern data from GPS logs of mobile detectors. The Wildlife Society Annual Conference, Cleveland, OH.	October 2018	Modeling point pattern data from GPS logs of mobile detectors
Wong, A., A.K. Fuller, J.A. Royle. Novel application of adaptive sampling principles to spatial capture-recapture. International Statistical Ecology Conference. St Andrews, Scotland.	July 2018	This represents the first application of adaptive sampling to SCR sampling methodology.
Wong, A., A. Fuller, J.A. Royle. 2016. Challenges of sickness and stress for moose: assessing thermal stress and parasitic threats to moose in the Adirondacks of New York. The Wildlife Society New York Chapter meeting. April 12, 2016.	April 2016	Challenges of sickness and stress for moose: assessing thermal stress and parasitic threats to moose in the Adirondacks of New York
Wong, A., A. Fuller, J.A. Royle, J. Hurst. Obstacles to genetic analysis of moose using fecal samples. 74th Annual Northeast Fish and Wildlife Conference, Burlington, VT.	April 2018	Here we report an issue with important implications for moose research, describe the measures taken to resolve the issue, and present hypotheses regarding the cause of minimal amplification success.
Wong, A. J.A. Royle, and A.K. Fuller. 2017. Novel application of adaptive sampling principles to spatial capture-recapture. 24th Annual Conference of the Wildlife Society. Albuquerque, New Mexico. 27 September, 2017.	September 2017	Novel application of adaptive sampling principles to spatial capture-recapture.
Wong, A. A. Fuller, J. Royle. 2016. Spatial patterns in density of moose in a heterogeneous landscape using non-invasive genetic sampling to inform management. Cornell graduate student annual research symposium. January 25, 2016.	January 2016	Spatial patterns in density of moose in a heterogeneous landscape using non-invasive genetic sampling to inform management
Williams, V., Sun, C., Sutherland, C., Fuller, A.2014. Comparison of mink habitat and food selection. 18th Annual Undergraduate Research Symposium: Experiences in Field Ecology, December 9, 2014.	December 2014	Comparison of mink habitat and food selection
Weltman-Fahs, M., J. Taylor, and B. Fisher. 2012. Hydraulic fracturing and brook trout habitat restoration in the Marcellus Shale: Potential conflicts in an already controversial landscape. 2012 Annual Meeting of the New York Chapter of the American Fisheries Society. Lake Placid, NY.	February 2012
Weltman-Fahs, M., J. M. Taylor, and W. L. Fisher. 2012. Hydraulic fracturing and brook trout habitat in the Marcellus Shale region: potential impacts and research needs. 142nd Annual Meeting of the American Fisheries Society, St. Paul, MN. 20 August 2012.	August 2012
Weltman-Fahs, M. and W. L. Fisher. 2013. Understanding the relationships between hydraulic fracturing and brook trout habitat in the Marcellus Shale region: A research agenda. 69th Annual Northeast Fish & Wildlife Conference, Saratoga Springs, New York, 7-9 April 2013.	April 2013	This studies provides a research agenda for potential emerging threats of natural gas shale drilling on the conservation and restoration of brook trout. Research implemented under this agenda of this research is to help inform strategies that facilitate sustainable energy development in the Marcellus Shale while preserving habitat quality and quantity for eastern North America’s only native stream salmonid.
Weltman-Fahs, M. and W. L. Fisher. 2013. Understanding relationships between hydraulic fracturing and brook trout habitat in the Marcellus Shale region: A research agenda. Annual Meeting, Society for Freshwater Science, Jacksonville, Florida, May 19–23, 2013.	May 2013	This studies provides a research agenda for potential emerging threats of natural gas shale drilling on the conservation and restoration of brook trout. Research implemented under this agenda of this research is to help inform strategies that facilitate sustainable energy development in the Marcellus Shale while preserving habitat quality and quantity for eastern North America’s only native stream salmonid.
Weltman-Fahs, M. and W. L. Fisher. 2013. Hydraulic fracturing and brook trout habitat in the Marcellus Shale region: Potential impacts and research needs. 2013 Annual Meeting, New York Chapter of the American Fisheries Society, Watertown, New York, 30 January - 1 February 2013.	January 2013	This study reviewed potential environmental impacts of gas shale drilling in the Marcellus Shale formation on brook trout populations. We developed a conceptual model that identifies pathways of potential risk between surface water threats and life history attributes of brook trout.
Vashon, J. A., W. J. Jakubas, D. J. Harrison, A. K. Fuller, and J. F. Organ. Documenting the response of lynx to declining snowshoe hare populations in northern Maine. Presentation to the Maine Cooperative Forestry Research Unit, University of Maine, Orono, Maine. April 14, 2010.	April 2010
Twining, J.P., Sutherland, C., Zalewski, A., Cove, M.V., Birks, J., Wearn, O.R., Haysom, J., Wereszczuk, A., Manzo, E., Bartolommei, P., Mortelliti, A., Evans, B., Gerber, B.D., McGreevy, J.R., Ganoe, L.S., Masseloux, S., Mayer, A.E., Wierzbowska, I., Loch, J., Akins, J., Drummey, D., McShea, W., Manke, S., Pardo, P., Boyce, A., Li, S., Ragai, R.B., Sukmasuang, R., Villafañe-Trujillo, A.J., López-González, C., Lara-Díaz, N.E., Cosby, O., Waggershauser, C.N., Bamber, J., Stewart, F., Fisher, J., Fuller, A.K., Perkins, K., Powell, R.A. Sociality in unexpected places: using global remote camera data to evaluate the drivers of group formation in “solitary” species. International Martes Symposium, Aviemore, Scotland, September 14, 2023.	September 2023	using global remote camera data to evaluate the drivers of group formation in “solitary” species
Twining, J.P., and A.K. Fuller. Occurrence and trends of furbearing species in New York State. Department of Environmental Conservation Furbearer Team Meeting. January 26, 2022.	January 2022	occurrence and trends of mammals in NY
Twining, J.P., M. Schlesinger, A.K. Fuller, M.C. Berger, C.A.C. Calderon, and J. Frair. Monitoring long-tailed weasels and ermine populations in New York state. Furbearer & small game mammal management team meeting. February 2023.	February 2023	Monitoring long-tailed weasels and ermine populations in New York state. Furbearer & small game mammal management team meeting
Twining, J.P., D. Kramer, K.A. Perkins, and A.K. Fuller. Landscape-scale population trends of wildlife populations using long term camera-trapping data. 79th Northeast Fish and Wildlife Conference. Hyanis, MA. April 22, 2024.	April 2024	population trends of wildlife populations using long-term camera trapping data.
Twining, J.P., B.C. Augustine, J.A. Royle, and A.K. Fuller. An integrated occupancy-abundance model for estimating species interactions. International Statistical Ecology Conference. July 1, 2022.	July 2022	an integrated occupancy-abundance model
Twining, J.P., B.C. Augustine, J.A. Royle, and A.K. Fuller. A hierarchical model for estimating abundance-mediated species interactions between two or more species. The Wildlife Society Conference, Louisville, TN. November 8, 2023	November 2023	A hierarchical model for estimating abundance-mediated species interactions between two or more species
Twining, J.P., B.C. Augustin, J.A. Royle, and A.K. Fuller. Predicting species interactions on landscape-scales. Cornell Department of Natural Resources GSA symposium. January 20, 2022.	January 2022	predicting species interactions model
Twining, J.P., Augustine, B.C., Royle, J.A., Fuller, A.K. An occupancy-abundance model for estimating abundance-mediated species interactions. International Congress for Conservation Biology, Kigali, Rwanda, July 26, 2023.	July 2023	An occupancy-abundance model for estimating abundance-mediated species interactions
Twining, J.P. A. Zalewski, M. Cove , J. Birks, O. Wearn, J. Hayso, A. Wereszczuk, E. Manzo, P. Bartolommei, A. Mortellti, B. Evans, B. Gerber, J. Masseloux, A. Meyer, I. Wierzbowska, J. Atkins, D. Drummey, W. McShea, R. Powell, R. Kays, L. Pardo, A. Boyce, Á. J. Villafañe Trujillo, Carlos López-González, Ronglarp Sukmasuang, Megan Whatton, Olivia Cosby, B. Giman, R. B.. Ragai, S. Li, H. Bu, D. Wang, F. Wang, C. Waggershauser, J. Bamber, F. Stewart, J.T. Fisher, K.A. Perkins, A.K. Fuller, C. Sutherland. Sociality in unexpected places: exploring the drivers of social complexity in the Martes complex. Italian Mammal Association seminar. January 23, 2022.	January 2022	Sociality in unexpected places: exploring the drivers of social complexity in the Martes complex.
Twining, J. R. Woolridge, and A.K. Fuller. Occurrence and trends of fishers in New York State. Northeast furbearer resources technical committee 46th annual meeting. Minnowbrook conference center, Blue Mountain Lake, NY. September 12, 2022.	September 2022	Occurrence and trends of fishers in NY
Turner, H., J. Twining, B. Augustine, and A.K. Fuller. Integrated spatial capture-recapture for estimating abundance of low density, elusive species. 79th Northeast Fish and Wildlife Conference. Hyanis, MA. April 22, 2024.	April 2024	a new model for estimating abundance of low density species
Turchick, K., and S. M. Grodsky. The geodiversity-biodiversity relationship: across ecosystems and disturbance agents. Department of Natural Resources and the Environment Symposium. Cornell University, January 2024.	January 2024	Desert ecosystems and solar
Turchick, K. & S. M. Grodsky. 2023. The geodiversity-biodiversity relationship. Biogeochemistry, Environmental Science, and Sustainability Graduate Student Symposium. Cornell University, Ithaca, New York.	February 2023	Introducing the geodiversity-biodiversity interface as it relates to solar energy development in the Mojave Desert. The presentation focused on a geosciences perspective, offering pathways to integrate geoscience into ecological study. .
Turchick, K. & S. M. Grodsky. 2023. The geodiversity-biodiversity hypotheses: Preliminary investigations. Department of Natural Resources and the Environment Graduate Student Association Symposium. Cornell University, Ithaca, New York.	January 2023	Introducing case study on geodiversity-biodiversity relationships. Cover foundational theories and case study study of solar energy development in the Mojave Desert.
Taylor, J., and B. Fisher. 2013. An evidence-based approach to developing environmental flow needs for Great Lakes tributaries in New York. 37th Annual Meeting of the New England Association of Environmental Biologists, Lake Placid, NY. 20-22 March 2013.	March 2013	We used causal criteria analysis, a form of systematic literature review, to assess the level of support from the published literature for each hypothesis and organized results across seasonal flow components. Our results demonstrate the need for high, seasonal, and low flow protections across multiple seasons through strong support for at least one flow ecology hypothesis within each seasonal flow component.
Taylor, J., and B. Fisher. 2012. Developing flow-ecology hypotheses in support of ecological-based flow recommendations for Lake Ontario adn Erie drainages in New York. 2012 Annual Meeting of the New York Chapter of the American Fisheries Society. Lake Placid, NY.	February 2012
Taylor, J., T. Moberg, M. DePhilip, C. Apse, and W. L. Fisher. 2012. Integrating expert workshops and causal criteria analysis to develop general flow-ecology hypotheses for riverine fishes. 142nd Annual Meeting of the American Fisheries Society, St. Paul, MN. 20 August 2012.	August 2012
Taylor, J. M. and W. L. Fisher. 2013. An evidence-based approach to developing environmental flow needs for Great Lakes tributaries in New York. 2013 Annual Meeting, New York Chapter of the American Fisheries Society, Watertown, New York, 30 January - 1 February 2013.	January 2013	This study used an eco-evidence approach to developing environmental flow needs for Great Lakes tributaries in New York. The results assist the New York Department of Environmental Conservation in developing for instream flow criteria for rivers in New York State.
T.I. Simamora, Boycott, T.J., and S.M. Grodsky. Quantifying Grassland Bird Community on Protected and Working Lands in New York: An Initial Investigation Preceding the Influence of Solar Panel Infrastructure Development. DNRE Symposium, Cornell University, NY, January 19, 2024.	January 2024	Grassland birds and solar
Svedarsky, D., and A. K. Fuller. 2012. Core Competencies and Wildlife Professionals in a Changing World. Symposium Organizer. The Wildlife Society Annual Conference, Portland, Oregon. 14 October, 2012.	October 2012
Sutherland, C., J.A. Royle, and A.K. Fuller. Statistical inference about landscape connectivity from animal telemetry data. The Wildlife Society 25th Annual Conference, Cleveland, OH. 10 October, 2018.	October 2018	Statistical inference about landscape connectivity from animal telemetry data
Sutherland, C., A.K. Fuller, and J.A. Royle. The importance of accounting for biologically realistic movements patterns for abundance estimates using spatial capture-recapture. New York Cooperative Fish and Wildlife Research Unit Coordinating Committee Meeting. September 16, 2014.	September 2014	research on ecological distance
Sutherland, C., A.K. Fuller, and J.A. Royle. Estimating American mink, Neovision vison, density in complex river networks using spatial capture-recapture. 71st Annual Northeast Fish and Wildlife Conference. 21 April, 2015.	April 2015	Estimating American mink, Neovision vison, density in complex river networks using spatial capture-recapture
Sutherland, C., A. K. Fuller, and J. A. Royle. Measuring non-Euclidean movement patterns in structured habitat networks using spatial capture-recapture models. International Statistical Ecology Conference 2014, Montpellier, France. 4 July, 2014.	July 2014	While primarily developed for inference about density, estimating ecological distance using SCR models provides an important and powerful tool for understanding how movement patterns are influenced by highly structured habitat networks, and thus provide a more realistic understanding of movement ecology, resource selection and landscape connectivity.
Sutherland, C. S., J. A. Royle, and A. K. Fuller. Using stream distance to estimate connectivity, movement and density of American mink in a river network using spatial capture-recapture models. The Wildlife Society 20th Annual Conference, Milwaukee, WI. 9 October, 2013.	October 2013	Using stream distance to estimate connectivity, movement and density of American mink in a river network using spatial capture-recapture models
Sutherland, C. A.K. Fuller, and J.A. Royle. 2015. Estimating abundance when landscape structure determines patterns of both space-use and density. 22nd Annual Conference of The Wildlife Society. Winnipeg, Manitoba, Canada. 21 October, 2015.	October 2015	Estimating abundance when landscape structure determines patterns of both space-use and density
Sun, C.S., Fuller, A.K., Royle, J.A., and Hare, M.A. 2012. Using simulations to explore sampling schemes in spatial capture-recapture studies. 68th Northeast Fish and Wildlife Conference, Charleston, WV. April 16, 2012.	April 2012
Sun, C.S., A.K. Fuller, and J.A, Royle. Multi-scale integrated modeling framework of animal population dynamics incorporating spatial capture-recapture and occupancy data collected from citizen science and traditional sampling. Ecological Society of America Annual Meeting, Baltimore, Maryland. 13 August, 2015.	August 2015	Multi-scale integrated modeling framework of animal population dynamics incorporating spatial capture-recapture and occupancy data collected from citizen science and traditional sampling.
Sun, C.S., A.K. Fuller, M.P. Hare, and J.A. Royle. Joining Resource Selection and Spatial Capture-Recapture into a Single Model: Estimating the population size of black bears in southwestern New York using a spatially-explicit capture-recapture model. 69th Annual Northeast Fish & Wildlife Conference, Saratoga Springs, NY. 9 April, 2013.	April 2013	. To estimation population density, we applied a spatially-explicit capture recapture model in a hierarchical framework and included covariates for gender, behavior, and habitat. These a priori variables were further compared in a candidate model set to understand how they affected detection probability.
Sun, C.S., A. K. Fuller, and M.P. Hare. 2011. Estimating black bear abundance in New York using non-invasive genetic approaches. Invited presentation to the Steuben County Honey Bee Association. June 13.	June 2011
Sun, C.S. and A.K. Fuller. 2017. Use of citizen scientists in black bear management. New York Chapter of the Wildlife Society 2017 annual meeting. Hamilton, NY. 1 March, 2017.	March 2017	Use of citizen scientists in black bear management
Sun, C.C., M.P. Hare, A.K. Fuller, and J.E. Hurst. 2017. Phylogeography of black bears in the northeastern United States. 24th Annual Conference of the Wildlife Society. Albuquerque, New Mexico. 26 September, 2017.	September 2017	Phylogeography of black bears in the northeastern United States.
Sun, C.C., A.K.. Fuller, J. Hurst. 2018. Black bear research and management in New York with iSeeMammals: a citizen science project. The New York Wildlife Society Annual Meeting. Kingston, NY.	March 2018	Black bear research and management in New York with iSeeMammals
Sun, C.C., A.K. Fuller, M.P. Hare, and J.E. Hurst. Phylogeography of black bears in the northeastern United States. 25th International Conference on Bear Research and Management. Quito, Ecuador.	November 2017	This study will provide targeted, high-resolution insight for the northeastern geographic range into factors that historically influenced bear movements and may still be reinforcing population structure. We discuss the implications of these findings for serving as a baseline for ongoing bear management and future assessments of population genetic structure in the northeastern United States.
Sun, C.C., A.K. Fuller, M.P. Hare, and J.A. Royle. Black bears in the Southern Tier of New York: Patterns of population expansion with genetics and models. Presented to Alfred University, Seminar Series. September 19, 2014.	September 2014	Black bears in the Southern Tier of New York: Patterns of population expansion with genetics and models
Sun, C.C., A.K. Fuller, J. A. Royle. 2018. Population Level Inferences Improve with Integration of Opportunistic Presence-Absence Data and Systematic Capture-Recapture Data. The Wildlife Society Annual Conference. Cleveland, OH.	October 2018	Population Level Inferences Improve with Integration of Opportunistic Presence-Absence Data and Systematic Capture-Recapture Data
Sun, C., A. Fuller, and J. Hurst. Black bear research and management in New York with iSeeMammals, a citizen science initiative. 74th Annual Northeast Fish and Wildlife Conference, Burlington, VT. Invited.	April 2018	using citizen science in wildlife management
Sun, C., A. Fuller, J. Royle, and J. Hurst. 2015. Multi-scale integrated modeling framework of animal population dynamics incorporating spatial capture-recapture and occupancy data collected from citizen science and traditional sampling. Ecological Society of America, August 13, 2015.	August 2015	Multi-scale integrated modeling framework of animal population dynamics incorporating spatial capture-recapture and occupancy data collected from citizen science and traditional sampling
Sun, C. S., and Fuller, A. K. Non-invasive genetic methods for estimating density of black bears in New York. NYSDEC Bureau of Wildlife Management Meeting. October 12, 2011. Blue Mountain Lake, NY.	October 2011
Sun, C. S., and A. K. Fuller. 2012. Spatially Explicit Capture-Recapture Models for Black Bears: a Research Update, NYSDEC Big Game Team Meeting. September 26, 2012.	September 2012
Sun, C. S., M. C. Adams, and A. K. Fuller. Black Bears in New York: Ecology, History, and Management. Invited talk, National Wild Turkey Federation, New York State Chapter Leadership Meeting. Waterloo, NY. 12 January, 2013.	January 2013	black bear research in New York
Sun, C. S., M. C. Adams, and A. K. Fuller. 2011. Black Bear Research in New York. Invited poster to the New York State Department of Environmental Conservation Region 8 National Hunting and Fishing Days. Avon, NY. September 24-25, 2011.	September 2011
Sun, C. S., J. A. Royle, R. B. Chandler, and A. K. Fuller. 2013. Joining Resource Selection and Spatial Capture-Recapture into a Single Model. 21st Eastern Black Bear Workshop, Millinocket, Maine. 28 April - 1 May.	April 2013	We developed a joint model that implements both telemetry data (RSF data) and spatial capture-recapture (SCR) data to estimate resource selection and population parameters. Such joint models lead to improved estimates of population abundance and resource selection functions.
Sun, C. S., Fuller, A. K., Royle, J. A., and Hare, M. P. 2012. Using simulations to explore sampling schemes in mark-recapture studies. Department of Natural Resources, Cornell University, Graduate Student Association Symposium. 19 January, 2012.	January 2012
Sun, C. S., A. K. Fuller, and J.A. Royle. Novel approaches to big problems: Integrating citizen science to monitor and estimate black bear populations in New York. 71st Annual Northeast Fish and Wildlife Conference. 20 April, 2015.	April 2015	Novel approaches to big problems: Integrating citizen science to monitor and estimate black bear populations in New York
Sun, C. S., A. K. Fuller, and J. Andrew Royle. Joint estimation of black bear resource selection and population density. 22nd International Conference on Bear Research and Management, Provo, UT. 19 September, 2013.	September 2013	Joint estimation of black bear resource selection and population density.
Sun, C. S., A. K. Fuller, J. A. Royle, and M. P. Hare. Comparing Spatial and Non-Spatial Capture-Recapture Methods to Estimate Population Size of Black Bears in South-Western New York. Department of Natural Resources Symposium, Cornell University, 18 January, 2013.	January 2013	Comparing Spatial and Non-Spatial Capture-Recapture Methods to Estimate Population Size of Black Bears in South-Western New York.
Sun, C. S., A, K. Fuller, J. A. Royle, and M. P. Hare. 2012. Use of a spatially-explicit capture-recapture model for estimating population size of black bears in south-western New York. Invited presentation at The Wildlife Society Annual Conference, Portland, Oregon. 14 October, 2012.	October 2012
Sun, C. Fuller, A., Hare, M. 2014. Studying Wildlife Populations with Non-invasive Genetic Sampling. Poster for Cornell Biology Open House. February 5, 2014.	February 2014	Studying Wildlife Populations with Non-invasive Genetic Sampling
Sun, C. C., A. K. Fuller, J. A. Royle, and M. Hare. Joint estimation of black bear resource selection and population density. The Wildlife Society Annual Conference, Milwaukee, WI. 7 October, 2013.	October 2013	Joint estimation of black bear resource selection and population density
Sun, C. A.K. Fuller, M.P. Hare, J. Hurst, and J.A. Royle. Population patterns and range expansion of black bears using non-invasive genetic, spatial capture-recapture models, New York Cooperative Fish and Wildlife Research Unit Coordinating Committee Meeting. September 16, 2014.	September 2014	presentation on Ph.D. research
Sun, C. A.K. Fuller, M.P. Hare, J. Hurst, and J.A. Royle. Population patterns and range expansion of black bears in the Southern Black Bear Range. Presented to NYSDEC Big Game Meeting. September 18, 2014.	September 2014	update of research to the NYSDEC big game team
Springer, V., A.K. Fuller, and E.G. Cooch. 2018. Spatial co-occurrence of Andean bears with puma and domestic dogs in Ecuador. The Wildlife Society Annual Conference, Cleveland, OH.	October 2018	Spatial co-occurrence of Andean bears with puma and domestic dogs in Ecuador
Springer, V. A. Fuller, and E. Cooch. Spatial co-occurrence of Andean bears with puma and dogs in Ecuador. 25th International Conference on Bear Research and Management. Quito, Ecuador.	November 2017	Spatial co-occurrence of Andean bears with puma and dogs in Ecuador
Sethi SA 2016. “Global fisheries status update: ecological, economic, and social dimensions,” Invited lecture, Introduction to Conservation Science (NTRES 2670), Cornell University, NY.	November 2016	Data-driven lecture on global commercial fisheries status and management tools to improve fisheries harvest practices.
Seilheimer, T. S., R. A. Esralew, W. L. Fisher, and D. J. Turton. 14 September 2010. Classification of Oklahoma streams using the hydroecological integrity assessment process. 140th Annual Meeting of the American Fisheries Society, Pittsburgh, PA.	September 2010
Seilheimer, T. S. and W. L. Fisher. 2009. Habitat use by fish species in groundwater dependent ecosystems of southern Oklahoma. Spring Meeting of Southern Division of the American Fisheries Society, New Orleans, Louisiana, 15-18 January 2009.	January 2009
SA Sethi et al. 2017 “High value of life history information for watershed connectivity restoration,” NY Chapter, American Fisheries Society meeting, Buffalo, NY.	February 2017	Novel optimization-based approach to fish passage restoration planning.
SA Sethi et al. 2016. "Taking salmon ecology through to optimal management decisions: fish passage restoration in Alaska," Invited Lecture, Cornell Biological Field Station.	July 2016	Salmon management presentation, invited speaker, seminar series at the Cornell Biological Field Station.
SA Sethi et al. 2016. "Oceanscape models inform policy options to manage seafloor impact from commercial fishing," Computational Sustainability Conference, Cornell University, Ithaca, NY.	July 2016	Oceanscape modeling to inform fisheries management policy.
SA Sethi et al. 2016. "Informed management: optimal fish passage restoration decisions for Pacific Salmon in Alaska," Invited Lecture, Ecology and Evolutionary Biology, Cornell University, NY.	September 2016	Invited speaker, Ecology and Evolutionary Biology, Cornell University, NY.
SA Sethi et al. 2016. "Implementing change in the North Pacific bottom trawl groundfish fishery: sweep modifications success," International Council for Exploration of the Sea, Fish Technology and Fish Behavior Working Group Annual Meeting, Merida, Yucatan, Mexico.	April 2016	Commercial fisheries gear technical modification to reduce habitat impacts management analysis presentation.
SA Sethi et al. 2016. "For the fish and by the fish: integrating life history into optimal aquatic barrier mitigation decisions," Computation Sustainability Conference, Cornell University, Ithaca NY.	July 2016	Fisheries management presentation.
SA Sethi et al. 2016. "Estimation of juvenile salmonid age and growth from routinely collected fork length data," Invited talk, AFS NY Student Chapter, Cornell University, NY.	October 2016	Invited talk to the American Fisheries Society Cornell University Student Subunit.
Royle, J.A., A.K. Fuller, and C.S. Sutherland. An overview of spatial capture-recapture (SCR) models. North American Congress for Conservation Biology, Missoula, Montana. 15 July, 2014.	July 2014	Royle, J.A., A.K. Fuller, and C.S. Sutherland. An overview of spatial capture-recapture (SCR) models. North American Congress for Conservation Biology, Missoula, Montana. 15 July, 2014.
Royle, J.A., A.K. Fuller, and C. Sutherland. Spatial capture-recapture models allowing transience or dispersal. 2014 Graybill Conference: Modern Statistical Methods for Ecology. Colorado State University, Fort Collins, CO. 8 September, 2014.	September 2014	Spatial capture-recapture models allowing transience or dispersal
Royle, J.A., A.K. Fuller, and B. Augustine. 2021. Integrating classification with ecological models of species abundance and occurrence. Remote sensing and machine learning for wildlife surveys community of practice workshop on machine learning workflows for aerial surveys. June 23, 2021.	June 2021	Integrating classification with statistical models
Royle, J.A., A.K. Fuller, B. Augustine, and R. Chandler. Capture-Recapture Meets Big Data: Integrating Statistical Classification with Ecological Models of Species Abundance and Occurrence. American Fisheries Society & The Wildlife Society 2019 Joint Annual Conference. Reno, Nevada. October 2, 2019.	October 2019	We have developed methods of “coupled classification” in which statistical classification models are linked to ecological models of species abundance or occurrence. In this new framework, classification (e.g., species identification) takes into account the local structure of populations, communities and landscapes and does not assume that where a sample is collected is independent of the class structure of the population, as most current classification methods do.
Ross, T.J., W.L. Fisher, B.P. Baldigo, and T.P. Baudanza. 20 January 2010. The effects of Schoharie Reservoir waters on trout populations in the Upper Esopus Creek. Cornell Department of Natural Resources Graduate Student Research Symposium, Ithaca, NY.	January 2010
Ross, T.J., W.L. Fisher, B.P. Baldigo, and T.P. Baudanza. 10 February 2010. The effects of Schoharie Reservoir waters on trout in the Upper Esopus Creek: plans and preliminary results, NY Chapter of American Fisheries Society Annual Meeting. Lake George, NY.	February 2010
Ross, T.J., B. Fisher, B. Baldigo, T. Baudanza, and M. Flaherty. 8 September 2011. Effects of Anthropogenic Stream Alteration on Brown Trout Behavior and Physiology: A Multifaceted Approach. 141st Annual Meeting of the American Fisheries Society, Seattle, WA.	September 2011
Ross, T. J., B. Fisher, B. Baldigo, T. Baudanza, and M. Flaherty. 4 February 2011. Behavioral and Physiological Responses of Stream-dwelling Trout to Altered Hydrology, Turbidity and Temperature Regimes. Annual Meeting, New York Chapter of the American Fisheries Society, Canandaigua, NY.	February 2011
Ross, T. J., B. Fisher, B. Baldigo, T. Baudanza, and M. Flaherty. 19 April 2011. Chronic stream alteration: effects on trout habitat, behavior and physiology. 67th Annual Northeast Fish and Wildlife Conference, Manchester, NH	April 2011
Ross, T. J., B. Fisher, B. Baldigo, T. Baudanza, and M. Flaherty. 17 November 2010. Effects of altered hydrologic, turbidity and thermal regimes on rainbow and brown trout populations in the upper Esopus Creek. Catskill Environmental Monitoring and Research Conference, Belleayre Mountain, Highmount, NY.	November 2010
Rodriquez, J., A. E. Cagle, S. M. Grodsky, T. Conkling, T. Katzner, S. Kelly, and R. R. Hernandez. 2021. Waterbird interactions with floating photovoltaic solar facilities: Considerations for conservation. American Wind Wildlife Institute Solar Power and Wildlife/Natural Resources Symposium. Virtual.	December 2021	Summary of waterbird interactions with floating solar infrastructure
Robinson, K.F., A.K. Fuller, and M.L. Jones. Using structured decision making to incorporate ecological and social values into harvest decisions: case studies of walleye, deer, and turkey. American Fisheries Society & The Wildlife Society 2019 Joint Annual Conference. Reno, Nevada. September 30, 2019.	September 2019	We present three case studies of using decision analysis to determine stakeholders’ objectives, identify alternative harvest strategies, predict the consequences of these alternatives on all objectives, and make tradeoffs among objectives.
Robinson, K.F. and A.K. Fuller. A structured decision making approach to white-tailed deer (Odocoileus virginianus) buck harvest management in New York state. Department of Natural Resources Symposium, Cornell University, Ithaca, NY. 17-18 January 2013.	January 2013	A structured decision making approach to white-tailed deer management
Robinson, K.F. and A. K. Fuller. 2013. A Structured Decision Making Approach to White-Tailed Deer (Odocoileus virginianus) Buck Harvest Management in New York State. 69th Annual Northeast Fish & Wildlife Conference, Saratoga Springs, NY. 9 April, 2013.	April 2013	We are developing a decision framework that evaluates optimal management strategies for reducing harvest of yearling (1.5-year-old) bucks while considering both ecological and social objectives. The results of this project will provide the DEC with an optimal harvest decision and a framework for evaluation of harvest alternatives in the future.
Robinson, K., A. Fuller, M. Schiavone, D. Diefenbach, and W. Siemer. A structured decision making approach to addressing wild turkey population declines. Informs Annual Meeting, 22-23 October 2019, Seattle, Washington, USA.	October 2019	Turkey (Meleagris gallapavo) populations in New York have been declining in recent years. Reducing harvest of females during fall hunting season could potentially reduce the population decline but requires consideration of biological and social concerns. We used structured decision making to incorporate the multiple objectives associated with turkey hunting, stakeholder desires, and region-specific ecological and environmental factors that could influence fall harvest.
Riley, S., and A. K. Fuller. Crucial confluences of environmental and social sciences in in decision making for endangered species. The Wildlife Society Conference, Louisville, TN. November 9, 2023. (Invited)	November 2023	Crucial confluences of environmental and social sciences in in decision making for endangered species
Ray, N., T. Canino, M. Holgerson, and S. M. Grodsky. 2023. Effect of floating solar installation on greenhouse gas emissions from ponds. AGU 23.	December 2023	Floating solar
R Pendleton et al. (SA Sethi 6th). 2017. “Seasonal distribution and habitat associations of Shortnose Sturgeon in the Hudson River estuary,” NY Chapter, American Fisheries Society meeting, Buffalo, NY.	February 2017	Habitat ecology of a protected fish species.
Proctor, M.F., D.L. Garshelis, P. Thatte, R. Steinmetz, B. Crudge, B.N. McLellan, W.J. McShea, D. Ngoprasert, M.A. Nawaz, S.T. Wong, S. Sharma, A.K. Fuller, N. Dharaiya, K.E. Pigeon, G. Fredriksson, D. Wang, S. Li, M. Hwang. 2022. Review of field methods for monitoring Asian bears. International Congress for Conservation Biology. December 16, 2021.	December 2022	Review of field methods for monitoring Asian bears
Price Tack, JL, Fuller, AK, Brown-Lima, CJ, Dean, J, Shi, Q, and CP Gomes. Spatial Optimization of Invasive Species Management Using Structured Decision Making. The Wildlife Society Conference, Cleveland, OH.	October 2018	spatial optimization of invasive species
Price Tack, JL, Fuller, AK, Brown-Lima, CJ, Dean, J, Shi, Q, and CP Gomes. Spatial Optimization of Invasive Species Management Using Structured Decision Making. NAISMA-UMISC Joint Conference. Rochester, MN.	October 2018	spatial optimization of invasive species
Price Tack, J.L., Fuller, A.K., Brown-Lima, C.J., Dean, J., Shi, Q., and C.P. Gomes. Spatial Optimization of Invasive Species Management in New York. Cornell Department of Natural Resources Graduate Student Symposium, Ithaca, NY.	January 2019	Spatial Optimization of Invasive Species
Price Tack, J.L., C. Brown-Lima, Q. Shi, J. Dean, C. Gomes, A.K. Fuller. Informing regional invasive species management: developing and parameterizing a resource allocation tool. The Wildlife Society's 28th Annual Conference.	November 2021	Developing an invasive species decision tool
Poudel, S., Twining J.P. Ghimere S., Stedman R.C. , and Fuller, A.K. On the leopard’s trail: Estimating leopard (Panthera pardus fusca ) site use in the mid-hills of Nepal. Global Leopard Conference. Cape Leopard Trust, South Africa. March 13-17, 2023.	March 2023	Estimating leopard (<i>Panthera pardus fusca</i><i> </i>) site use in the mid-hills of Nepal
Poudel, S., R.C. Stedman, and A.K. Fuller. 2021. Pardus in the press: Modeling occurrence of leopard attacks on humans in Nepal. The Wildlife Society's 28th Annual Conference.	November 2021	Modeling leopard attacks on humans
Perry, P.C. and Fisher, W.L. 2012. Black bass population characteristics in New York lakes: A statewide database analysis. Northeast Fish and Wildlife Conference, Charleston, West Virginia. April 15-17, 2012.	April 2012
Perry, P. C., W. L. Fisher, and J. J. Loukmas. 2012. Grouping New York lakes by bass population metrics. 142nd Annual Meeting of the American Fisheries Society, St. Paul, MN. 20 August 2012.	August 2012
Perry, P. C. and W. L. Fisher. 2013. Characterizing black bass length-at-age, relative weight, relative abundance and stock densities across New York lakes. 2013 Annual Meeting, New York Chapter of the American Fisheries Society, Watertown, New York, 30 January - 1 February 2013.	January 2013	This study assessed the status of largemouth and smallmouth bass populations in New York lakes. The results will assist fisheries managers and administrators manage black bass populations in New York State.
Perry, C., and B. Fisher. 2012. Summarizing black bass relative abundance and proportional stock density from a New York statewide collection database. 2012 Annual Meeting of the New York Chapter of the American Fisheries Society. Lake Placid, NY.	February 2012
Perry PC. Fisher WL. 2012. Black Bass Populations in NY. 2012 Coordinating Committee Meeting. Albany, NY. 18 September, 2012.	September 2012
Perry Christian and Fisher WL. 2012. Black Bass Project Update. DEC Bureau Meeting. Albany NY. 23-24 February, 2012.	February 2012
Perry CP and Fisher WL. 2012. Black Bass Project Update. Meeting with Dave Green. Shackleton Point, NY. 30 May, 2012.	May 2012
Patterson, C. P. and W. L. Fisher. 2009. Movements and distribution of a reintroduced population of paddlefish in Lake Texoma. Spring Meeting of Southern Division of the American Fisheries Society, New Orleans, Louisiana, 15-18 January 2009.	January 2009
P Walsh et al. (SA Sethi 2nd). 2017 “Estimating denning date of wolves with daily movement and gps location fix failure.” The Wildlife Society national meeting, Albuquerque, NM.	September 2017	Novel use of radio collars to infer wolf parturition.
Olson, S.J., D.J. Harrison, J.H. Vashon, and A.K. Fuller. 2015. Food habits of Canada lynx at the southeastern limit of their range: Always the specialist? Poster at 22nd Annual Conference of The Wildlife Society. Winnipeg, Manitoba, Canada. 19 October, 2015.	October 2015	Food habits of Canada lynx at the southeastern limit of their range: Always the specialist?
Nadeau, C.P., and Fuller, A.K. 2012. Improving the future of climate change vulnerability assessments by reviewing the past. 68th Northeast Fish and Wildlife Conference, Charleston, WV. April 16, 2012.	April 2012
Nadeau, C.P. and A.K. Fuller. Managing Species of Conservation Need in the Face of Climate Change: A Landscape and Trait-based Approach. Northeast Biodiversity Technical Group. Minnowbrook Conference Center, Blue Mountain Lake, NY. September 3, 2014.	September 2014	A spatial vulnerability assessment
Nadeau, C. P., and A. K. Fuller. A climate change vulnerability assessment to aid in the management of New York Species of Greatest Conservation Need. Department of Natural Resources Symposium, Ithaca, NY. 18 January 2013.	January 2013	A climate change vulnerability assessment to aid in the management of New York Species of Greatest Conservation Need
Nadeau, C. P., and A. K. Fuller. A new measure of climate change: accounting for multiple climate variables and multiple statistics of climate. 20th Annual Conference of The Wildlife Society, Milwaukee, WI. 8 October, 2013.	October 2013	Described a new measure of climate change
Nadeau, C. P. and A. K. Fuller. 2013. Incorporating spatial heterogeneity in climate change and landscape features into rapid climate change vulnerability assessments. U.S. Regional Association of the International Association for Landscape Ecology, Austin, TX. 16 April, 2013.	April 2013	We developed a spatial climate-change vulnerability assessment tool that incorporates both spatial and non-spatial aspects of vulnerability, including projected climate stress, potential for the landscape to buffer the effects of climate stress, and local-scale connectivity.
Nadeau, C. P. and A. K. Fuller. 2013. Incorporating spatial heterogeneity in climate change and landscape features into rapid climate change vulnerability assessments. 69th Annual Northeast Fish & Wildlife Conference, Saratoga Springs, NY. 9 April, 2013.	April 2013	We developed a spatial climate-change vulnerability assessment tool that incorporates both spatial and non-spatial aspects of vulnerability, including projected climate stress, potential for the landscape to buffer the effects of climate stress, and local-scale connectivity. We use this tool to evaluate the vulnerability of the landscape in the northeastern United States, and to evaluate the relative vulnerability of species of greatest conservation need in New York State.
Morin, D.J., J. Boulanger, R. Bischof, D.C. Lee, D. Ngoprasert, A.K. Fuller, B. McLellan, R. Steinmetz, S. Sharma, D. Garshelis, A. Gopalaswamy, M.A. Nawaza, and U. Karanth. 2021. Comparison of methods for estimating density and population trends for low-density Asian bears. International Congress for Conservation Biology. December 16, 2021.	December 2021	Comparing methods for estimating density and population trends for Asian bears
Morin, D.J., A.K. Fuller, J.A. Royle, C. Sutherland. 2015. Corridor design applications of spatial capture-recapture models. 22nd Annual Conference of The Wildlife Society, Winnipeg, Manitoba. Invited presentation in symposia.	October 2015	Corridor design applications of spatial capture-recapture models
Morin, D., A.Fuller, J. Royle, C. Sutherland, A. Gupta, B. Dilkina, and C. Gomes. Modeling animal home range and landscape connectivity from spatial capture-recapture data. CompSust16. Ithaca, NY. 7 July, 2016.	July 2016	Modeling animal home range and landscape connectivity from spatial capture-recapture data.
Molina, S., A.K. Fuller, J.A. Royle, and D.J. Morin. Population Ecology of the Andean Bear (Tremarctos Ornatus) in the Northwest of the Metropolitan District of Quito, Ecuador. 24th International Conference on Bear Research & Management. Anchorage, Alaska. 14 June, 2016.	June 2016	Population Ecology of the Andean Bear (Tremarctos Ornatus) in the Northwest of the Metropolitan District of Quito, Ecuador
McDonald, J. E., and A. K. Fuller. 2012. The role of professional societies in helping to fulfill core competencies needed by wildlife professionals. Invited presentation, The Wildlife Society Annual Conference. Portland, Oregon. 14 October 2012.	October 2012
Marquez, R., D. Garshelis, I. Goldstein, and A. Fuller. 2021. Factors affecting human attitudes towards Andean bear conflict. 27th International Conference on Bear Research and Management.	September 2021	Human-Andean bear conflict
Mallett, D. G., D. J. Harrison, and A. K. Fuller. Variable fix success of GPS collars across habitats used by Canada lynx: influences of habitat structure, topography, and satellite configuration. 66th Annual Northeast Fish and Wildlife Conference. Newton, Massachusetts. April 26, 2010.	April 2010
M Paufve et al. (SA Sethi 4th). 2017. “Investigating habitat suitability for Cisco (Coregonus artedi) spawning and egg incubation.” IAGLR annual meeting, Detroit, MI.	April 2017	Corgenonine restoration ecology support work.
M Paufve et al. (SA Sethi 2nd). 2017. “Describing suitable spawning habitat of Cisco (Coregonus artedi) in the Great Lakes and informing restoration efforts in Lake Ontario,” NY Chapter, American Fisheries Society meeting, Buffalo, NY.	February 2017	Habitat ecology to inform restoration of native coregonines.
M Paufve et al. (SA Sethi 2nd). 2017. “Characterizing the ecological niche of Cisco (Coregonus artedi) spawning and egg incubation habitat.” International Coregonid Symposium, Bayfield, WI.	September 2017	Validation of egg-pumping based sampling to characterize the spawning niche of Cisco.
Lorensen, J., and W. L. Fisher. 2009. Lateral migration of fishes in the lower Verdigris River, Oklahoma. Annual Meeting, Oklahoma Chapter of the American Fisheries Society, Ardmore, Oklahoma, 19-20 March 2009.	March 2009
Lorensen, J. and W. L. Fisher. 2009. Lateral migration of fishes in the lower Verdigris River, Oklahoma. Spring Meeting of Southern Division of the American Fisheries Society, New Orleans, Louisiana, 15-18 January 2009.	January 2009
Linden, D.W., A.K. Fuller, and J.A. Royle. 2015. Incorporating uncertain identity in spatial capture-recapture: application to fisher in New York. The Wildlife Society 22nd Annual Meeting, Winnipeg, Manitoba, Canada.	October 2015	Incorporating uncertain identity in spatial capture-recapture: application to fisher in New York
Linden, D., A. Fuller, and J. Royle. Incorporating uncertain identity in spatial capture-recapture modeling. CompSust16. Ithaca, NY. 7 July, 2016.	July 2016	Incorporating uncertain identity in spatial capture-recapture modeling
Linden, D., A. Fuller, and J. Royle, and M. Hare. Examining the occupancy-density relationship for a low density carnivore. The Wildlife Society 23rd Annual Conference, Raleigh, NC. October 17, 2016.	October 2016	Examining the occupancy-density relationship for a low density carnivore
L Sztukowski et al. (SA Sethi 8th). 2017. “Nearshore marine consumer responses to changing prey: combining quantitative and qualitative model input into a conceptual framework,” AK Marine Science Symposium, Anchorage, AK.	January 2017	Bayesian belief network modeling for nearshore ecosystems in Alaska.
Koeberle, A., T. J. Ross, and B. Fisher. 2012. Growth of hatchery-reared and wildlife brown trout in the upper Esopus Creek, New York. 2012 Annual Meeting of the New York Chapter of the American Fisheries Society. Lake Placid, NY.	February 2012
Kelty, R., and S. M. Grodsky. Habitat selection of native bees in the national wildlife refuges across the northeastern United States. 79^th Annual Northeast Fish and Wildlife Conference. Cape Cod, MA	April 2024	Pollinators in National Wildlife Refuges
Joshua P. Twining, Andrzej Zalewski, Michael Cove, Johnny Birks, Oliver Wearn, Jessica Hayso, Anna Wereszczuk, Emiliano Manzo, Paola Bartolommei, Alessio Mortellti, Bryn Evans, Brian Gerber, Juliana Masseloux, Amy Meyer, Izabela Wierzbowska, Jocelyn Atkins, Donovan Drummey, William McShea, Roger Powell, Roland Kays, Lain Pardo, Andy Boyce, Álvaro José Villafañe Trujillo, Carlos López-González, Ronglarp Sukmasuang, Megan Whatton, Olivia Cosby, Belden Giman, Roslina Binti Ragai, Sheng Li, Hongliang Bu, Dajun Wang, Fang Wang, Cristian Waggershauser, Jack Bamber, Frances Stewart, Jason T. Fisher, Kelly A. Perkins, Angela, K. Fuller, Chris Sutherland. Sociality in unexpected places: exploring the drivers of social complexity in the Martes complex. Italian Mammal Association seminar. January 23, 2022.	February 2022	social complexity in martes species
J. Price Tack, A.K. Fuller, C. Brown-Lima, J. Dean, Q. Shi, and C. Gomes. Approaches for Spatially Optimizing the Allocation of Resources across Many Invasive Species. American Fisheries Society & The Wildlife Society 2019 Joint Annual Conference. Reno, Nevada. October 3, 2019.	October 2019	Invasive species are widely regarded as one of the top five threats to biodiversity, and threaten human and wildlife health, food and water security, ecosystem resilience to disturbance, and sustainable agriculture. We present a case study from New York to demonstrate how methods from the fields of decision science and computer science can be harnessed to reduce the decision state sufficiently to allow the problem to be solved using mixed integer linear programming (MILP).
J. Brazeal and A.K. Fuller. Carnivore Occupancy and Interspecific Interactions across New York State. American Fisheries Society & The Wildlife Society 2019 Joint Annual Conference. Reno, Nevada. October 3, 2019.	October 2019	From 2013-2015, we collaborated with the New York State Department of Environmental Conservation to conduct winter camera surveys across western portions of New York. We used photos of coyotes (Canis latrans), fishers (Pekania pennanti), bobcats (Lynx rufus), and white-tailed deer (Odocoileus virginianus) to explore hypotheses on species occupancy, including the hypothesis that deer, an important prey resource for coyotes in winter, might facilitate coexistence between coyote and other predator
J Hagan et al. (SA Sethi 3rd). 2017. “Assessing the accuracy of Landsat derived stream temperatures for use in juvenile salmonid habitat assessments on the Anchor River, Alaska.” AK Chapter, American Fisheries Society meeting, Fairbanks, AK.	March 2017	Assessment of utility of remote sensing data to infer in-stream thermal regimes for salmonids.
J Ashline et al. (SA Sethi 2nd). 2017. “Where do they go and how do they get there? Juvenile coho salmon overwinter habitat selections.” AK Chapter, American Fisheries Society meeting, Fairbanks, AK.	March 2017	Coho salmon overwinter ecology assessment.
Hostetter, NJ, JH Vashon, M O’Neal, AK Fuller, SJ Converse. An integrated age-at-harvest model linking harvest and research data to estimate black bear abundance and demographics. 13th International Mammalogical Congress. Anchorage, Alaska. 14-20 July 2023.	July 2023	We describe an integrated age-at-harvest model that links research and monitoring data to estimate abundance and demographics of black bears in Maine, USA.
Hostetter, NJ, JH Vashon, C McLaughlin, M O’Neal, AK Fuller, SJ Converse. An integrated age-at-harvest model linking harvest and research data to estimate black bear abundance, demographics, and population growth rates in Maine, USA. 25^th Eastern Black Bear Workshop. Trego, Wisconsin. April 2023.	April 2023	We describe an integrated age-at-harvest model that links research and monitoring data to estimate abundance and demographics of black bears in Maine, USA.
Harrison, D., E. Simons, A. Fuller and W. Krohn. 2011. Trends in habitat for forest wildlife in Maine's Great North Woods: The need for landscape planning. Invited presentation at U.S. Fish and Wildlife Service Northeast Region Biologists Conference, Baltimore, Maryland. February 14.	February 2011
Harrison, D. J., and A. K. Fuller. Ecology of white-tailed deer in Acadia National Park: Results from research conducted at the University of Maine. Presentation to resource management staff, Acadia National Park, Bar Harbor, Maine. November 6, 2009.	November 2009
Harrison, D. E. Simons, A. Fuller, and W. Krohn. 2011. Habitat planning and assessment for forest vertebrates in northern Maine. Annual Coordinating Committee Meeting of the Maine Cooperative Fish and Wildlife Research Unit, University of Maine, Orono, ME. May 12, 2011.	May 2011
Hardouin, M. & S. M. Grodsky. 2023. Solar energy-carnivore interactions in the Sonoran Desert, California. Department of Natural Resources and the Environment Graduate Student Association Symposium. Cornell University, Ithaca, New York.	January 2023	Introducing study on desert carnivores and solar energy development in the Mojave Desert. Covers preliminary results on site use and co-occupancy of sympatric carnivore species.
Gupta, A., B. Dilkina, D. Morin, A. Fuller, J. Royle, C. Sutherland, and C. Gomes. Using model-based estimators of connectivity for landscape corridor design. CompSust 2016. Ithaca, NY. 6 July, 2016.	July 2016	sing model-based estimators of connectivity for landscape corridor design
Grodsky, S. M. 2022. Energy and Environment - A Big Idea for Climate 2030. 2030 Cornell Climate Impact Roundtable. Ithaca, New York.	September 2022	Presenting ideas for how to integrate renewable energy ecology into Cornell's Climate 2030 research and outreach initiatives.
Grodsky, S. M. 2022. Insect conservation and habitat management in desert solar facilities. Member Symposium: Inspiring Insect Biodiversity Conservation through Incorporation of Vital Habitat in Infrastructure Entomological Society of America 2022 Joint Annual Meeting. Vancouver, B.C., Canada (virtual).	November 2022	Presenting results of research on insect response to solar energy development in the Mojave Desert. Covers pollinators, ants, and insect community responses and future research directions.
Grodsky, S. M., J. W. Campbell, A. Fesnock, L. E. Franklin, M. Hardouin, and R. R. Hernandez. 2021. Effects of solar energy development on desert ecosystems and their services. American Wind Wildlife Institute. 2021 Solar Symposium.	December 2021	Review of 3 years of ecological research on the effects of solar energy development on soils, plants, host plant-insect interactions, non-bee insect pollinators, and bees in the Mojave Desert
Grodsky, S. M. 2024. National Pollinator-Solar Energy Interactions Assessment. Department of Energy Solar Energy Technologies Office 2024 Peer Review. Washington, D.C. 3.27.24.	March 2024	Pollinators and solar energy
Grodsky, S. M. 2021. Solar energy in desert ecosystems and the bright future of solar energy ecology. American Clean Power Siting and Environmental Compliance Virtual Summit 2021.	August 2021	Present results of desert solar ecology to industry stakeholders. Described impacts of solar energy siting and development decisions on desert ecosystems, including soils, plants, and wildlife.
Grodsky, S. M. 2021. Pollinators and solar: A starting point. Agriculture and Solar Summit for Cornell Cooperative Extension Educators.	August 2021	Engaged with Cornell extension on issues centered o pollinator friendly solar. Presented my original research and a state of the science on ecological restoration for pollinators at solar facilities.
Grodsky, S. M. 2021. Energy ecology: Solutions for climate adaptation in a changing world. Northeast Climate Change working Group.	August 2021	Presented my research on renewable energy ecology to climate change stakeholders from state and federal agencies. Described current and future projects in the Northeast related to renewable energy and wildlife conservation.
Grauer, J.G., K.L. Schuyler, J. Frair, and A.K. Fuller. Health assessment and population models indicate high parasite exposure and potential impacts for moose in New York, USA. The Wildlife Society 29th Annual Conference. Spokane, Washington. November 7, 2022.	November 2022	Health assessment and population models indicate high parasite exposure and potential impacts for moose in New York, USA
Grauer, J.G., K. Schuyler, J. Frair, and A.K. Fuller. Moose health assessment indicates high parasite exposure in New York. New York Chapter of The Wildlife Society Annual Meeting. Syracuse, NY. February 9, 2023.	February 2023	Moose health assessment indicates high parasite exposure in New York
Grauer, J.A., K.L. Schuler, J.L. Frair, and A.K. Fuller. Moose Health and Juvenile Survival in New York. Cornell University Department of Natural Resources and the Environment Symposium, Ithaca, NY. January 20, 2022	January 2022	Moose Health and Juvenile Survival in New York.
Grauer, J.A., K.L. Schuler, J.L. Frair, and A.K. Fuller. Impact and Predictors of Moose Endoparasite Infection. The Wildlife Society Annual Meeting, Spokane, WA. November, 2022.	November 2022	mpact and Predictors of Moose Endoparasite Infection
Grauer, J.A., K.L. Schuler, J.L. Fair, and A.K. Fuller. Moose Health Assessment Indicates High Parasite Exposure in New York. The Northeast Association of Fish & Wildlife Agencies 78th Annual Conference. Hershey, Pennsylvania. May 2, 2023.	May 2023	Moose Health Assessment Indicates High Parasite Exposure in New York
Grauer, J.A., J.P. Twining, J. Frair, K. Schuler, D. Kramer, and A.K. Fuller. Exploring competition between white-tailed deer and moose. New York Chapter of The Wildlife Society Annual Meeting. Troy, NY. March 15, 2024.	March 2024	Exploring competition between white-tailed deer and moose
Grauer, J.A., J. Twining, K. Schuler, J. Frair, D. Kramer, and A.K. Fuller. Exploring direct and indirect competitive interactions between moose and white-tailed deer. 56th Annual North American Moose Conference. Midway, Utah. May 14, 2024.	May 2024	Exploring direct and indirect competitive interactions between moose and white-tailed deer.
Grauer, J., K. Schuyler, J. Frair, and A.K. Fuller. Moose Capture and Moose Health in NY, veterinary rounds. NYSDEC Big Game Team Meeting. February 14, 2022.	February 2022	update on moose project
Grauer, J., A.K. Fuller, K. Schuler, and J. Frair. Moose health and juvenile survival in New York. Cornell DNRE symposium. January 20, 2022.	January 2022	Moose health and juvenile survival in New York
Grauer, J. B. Hanley, A. Fuller, P. Connelly, J. Frair, and K. Schuler. Health assessment and population models indicate high parasite exposure and potential impacts for moose in New York, USA. North American Moose Conference. 1 December, 2021.	December 2021	We investigated parasite occurrence in 41 live-captured and 177 necropsied moose in New York to assess individual health, causes of death, and factors associated with moose mortality. Our health assessment revealed high levels of exposure to internal and external parasites, major sources of mortality from vehicle collisions, other sources of trauma, and parasites, and higher parasite burdens in adult moose.
Gomes-Selman, J. P. Finlay, C.C. Sun., and A.K. Fuller. NY eBear: A mobile app for collecting citizen science data on black bears in New York. Poster at 71st Annual Northeast Fish and Wildlife Conference. 21 April, 2015.	April 2015	A mobile app for collecting citizen science data on black bears in New York
Garshelis, D.L., K. Pigeon, M. Hwang, M. Proctor, W.J. McShea, A.K. Fuller, and D.J. Morin. 2022.The need to step-up monitoring of Asian bears. International Congress for Conservation Biology. December 16, 2021.	December 2021	The need to step-up monitoring of Asian bears
Garcia, S., R.C. Stedman, and A.K. Fuller. A Bayesian network model to predict human-wildlife conflicts in protected areas of Colombia, Ecuador, and Peru. The Wildlife Society 29th Annual Conference. Spokane, Washington. November 8, 2023.	November 2023	A Bayesian network model to predict human-wildlife conflicts in protected areas of Colombia, Ecuador, and Peru
Garcia, S., R.C. Stedman, and A.K. Fuller. A Bayesian network model to predict human-wildlife conflicts in protected areas of Colombia, Ecuador, and Peru. The Wildlife Society 29^th Annual Conference. Spokane, Washington. November 8, 2023.	November 2023	Bayesian network model to predict human-wildlife conflicts in protected areas of Colombia, Ecuador, and Peru
Garcia, S., A.K. Fuller, and R.C. Stedman. Spatial Risk Mapping to mitigate human–Andean Bear conflict in the Western Ecuadorian Andes. New York Chapter, The Wildlife Society's 2020 Annual Meeting. Syracuse, NY.	February 2020	Spatial Risk Mapping to mitigate human–Andean Bear conflict
Garcia, S., A.K. Fuller, and R.C. Stedman. A place-based behavioral intention model for human-wildlife coexistence with Andean bears. North American Congress for Conservation Biology. Reno, NV. July 18, 2022.	July 2022	We surveyed two communities in Ecuador and used a Partial Least Squares-Structural Equation Model to assess the relationship between places (experience and sense of place) with people’s tolerance toward Andean bears (Tremarctos ornatus) in Ecuador. We hypothesized that people with extensive experience or interaction with their landscape (biotic and abiotic features) will exhibit strong attachment and positive meanings towards that place.
Garcia, D., R. Choudberry, S. M. Grodsky, and R. Almeida. 2024. Overlap between solar power potential and bee diversity hotspots in the contiguous United Sates. 78^th Annual Meeting of the Subtropical Agriculture and Environments Society. South Padre Island, Texas. 2.8.24.	February 2024	Pollinators and solar energy
Garcia, D., R. Choudberry, S. M. Grodsky, and R. Almeida. 2024. Analyzing Synergies and Conflicts: Solar Power Potential and Bee Diversity Patterns in the Contiguous United States. University of Texas, Rio Grande Valley College of Science Annual Research Conference. Edinburg, TX. 4.26.24.	April 2024	Pollinators and solar energy
Fuller, Angela K. Exploring the Lesser-Charted Territories: Conservation Challenges and Evidence-Based Strategies for Martes in a Changing World. 8th International Martes Symposium, Aviemore, Scotland. Invited Keynote Speaker.	September 2023	This talk delves into the lesser-explored realms, focusing on the yellow-throated marten and tayra – two of the most widely distributed <i>Martes </i>species, yet both subjects of limited investigation. Leveraging by-catch data sourced from camera trapping studies of large charismatic carnivores including tigers, leopards, and Andean bears in Nepal and Ecuador, we investigate spatial patterns of occupancy and abundance of lesser-studied yellow-throated marten and tayra.
Fuller, A.K.. Computational Sustainability Research Network: Connecting the Cooperative Research Units. Cooperative Research Units All-Hands Meeting. Santa Fe, New Mexico. 9 March, 2016.	March 2016	Computational Sustainability Research Network: Connecting the Cooperative Research Units
Fuller, A.K., and L.M. Lai. A decision analytic approach for optimal surgical treatment in early-stage breast cancer. The American Society of Breast Surgeons 21st Annual Meeting.	May 2020	The purpose of our study was to evaluate the influence of oncologic outcomes on the optimal patient surgical decision; we evaluated decisions based on oncologic, quality of life, and both oncologic + quality of life outcomes. We use decision analysis to evaluate how different surgical treatments best achieve patient objectives with an explicit evaluation of tradeoffs.
Fuller, A.K., and L.M. Lai. 2021. Systematic review of patient decision aids for breast cancer surgery decision: how do patients evaluate tradeoffs among objectives? 2021 Annual Meeting Official Proceedings. Annals of Surgical Oncology.	April 2021	<b>Background/Objective: </b>Many breast cancer patients are faced with making a decision among several surgical treatment options. Making an informed decision necessitates that patients receive information on the risks and benefits of their surgical options so they can evaluate tradeoffs among their objectives. However, women frequently report not being completely informed about their treatment options prior to making a decision. There is a recent emphasis on shared decision making; use of dec
Fuller, A.K., and J.A. Royle. Coupled classification models: Moving beyond 'just' artificial intelligence. USGS Executive Leadership Team Briefing. Invited by Anne Kinsinger . March 26, 2019	March 2019	ELT briefing
Fuller, A.K., and J.A. Royle. Estimating site occupancy of fishers in an expanding population. North American Congress for Conservation Biology, Missoula, Montana. 15 July, 2014.	July 2014	Estimating site occupancy of fishers in an expanding population
Fuller, A.K., and D. J. Harrison. 2011. Trade-offs among forest management objectives, focal wildlife species, and ecological reserves: implications for future biodiversity and timber harvests. Poster presentation and moderated discussion at the Society of American Foresters National Convention, Honolulu, Hawaii, November 4, 2011.	November 2011
Fuller, A.K., K.F. Robinson, R. Stedman, W. Siemer, and D.J. Decker. 2017. Integration of social and ecological sciences for natural resource decision making: challenges and opportunities. 24th Annual Conference of the Wildlife Society. Albuquerque, New Mexico. 24 September, 2017. Invited.	September 2017	Integrating social and ecological sciences to inform decision making.
Fuller, A.K., J.A. Royle, D.J. Morin, Y. Xue, B. Dilkina, C.P. Gomes. 2017. Estimating functional connectivity for landscape management and connectivity conservation. 2017 International Congress for Conservation Biology. Cartagena, Colombia. 25 July, 2017.	July 2017	Estimating functional connectivity for landscape management and connectivity conservation.
Fuller, A.K., J. Stiller, W. Siemer, K. Perkins. Choosing an Optimal Duck Season: Integrating Hunter Values with Duck Migration Data. American Fisheries Society & The Wildlife Society 2019 Joint Annual Conference. Reno, Nevada. September 30, 2019.	September 2019	State wildlife agencies frequently struggle to identify optimal hunting season dates for migratory game bird species that meet the diverse interests of stakeholders. Many approaches have been used to ensure the regulated community is involved in the decision-making process including public hearings, hunter season-date preference surveys, and hunter task forces. However, these approaches may not necessarily reflect the opinions and values of all stakeholders. To address these challenges, we used
Fuller, A.K., How to be a successful scientist. 2021. Cooperative Research Units New Scientist Orientation.	February 2021	How to be a successful scientist
Fuller, A.K., Eaton, M.J., Corwin, K., Rosenblatt, D., Ozard, J., Holst, L. A decision model for prioritizing New York’s Species of Greatest Conservation Need (SGCN). Presentation of draft decision model to external technical review team for NYSDEC State Wildlife Action Plan preparation. Feb. 6, 2013.	February 2013	A decision model for prioritizing New York’s Species of Greatest Conservation Need
Fuller, A.K., Eaton, M.J., Corwin, K., Rosenblatt, D., Ozard, J., Holst, L. A decision model for prioritizing New York’s Species of Greatest Conservation Need (SGCN). Presentation of draft decision model to NYSDEC Bureau of Wildlife Manager’s Meeting. February 11, 2013.	February 2013	. A decision model for prioritizing New York’s Species of Greatest Conservation Need
Fuller, A.K., D.J. Morin, and S. Sharma. 2021. Population monitoring for conservation of Asian bear species. Symposium. International Congress for Conservation Biology. December 16, 2021	December 2021	Organized symposium on population monitoring for Asian bears
Fuller, A.K., D.J. Morin, and J.A. Royle. Density-weighted connectivity for corridor design. 24th International Conference on Bear Research & Management. Anchorage, Alaska. 16 June, 2016.	June 2016	Density-weighted connectivity for corridor design
Fuller, A.K., D.J. Decker, M.J. Schiavone, and A.B. Fortchen. 2020. Ratcheting up Rigor in Wildlife Management Decision Making. Invited talk in special symposium, "Trending… A TWS Journal Spotlight on the Most Downloaded Papers of 2020". The Wildlife Society 27th Annual Conference. Virtual.	September 2020	Many wildlife management agencies desire decision‐making processes that are transparent, replicable, engage partners, and communicate effectively with the public. Using a decision science approach offers a framework to allow agencies to achieve these objectives so the decision‐making process is consistent with their desires.
Fuller, A.K., D. Morin, J.A. Royle, C. Sutherland, C. Gomes, B. Dilkina, A. Gupta, Y. Xue, X. Wu. 2017. Metrics to estimate landscape connectivity for connectivity conservation planning. 24th Annual Conference of the Wildlife Society. Albuquerque, New Mexico. 26 September, 2017. Invited.	September 2017	Metrics to estimate landscape connectivity for connectivity conservation planning.
Fuller, A.K., D. J. Harrison, and W. B. Krohn. 2010. Planning for Multiple Biodiversity and Forest Objectives on The Nature Conservancy Lands in Northern Maine: Final Results, Application to Other Landowners, and Where Do We Go From Here. Presented at Managing Working Forest Landscapes for Multiple Biodiversity and Fiber Objectives: a Workshop for Landowners, Land Managers, and Biologists. University of Maine, Orono, Maine. November 10, 2010.	November 2010
Fuller, A.K., B.C. Augustine, D.J. Morin, K. Pigeon, J. Boulanger, D.C. Lee, F. Bisi, and D.L. Garshelis. 2021. The occupancy-abundance relationship and sampling designs using occupancy to monitor populations of Asian bears. International Congress for Conservation Biology. December 16, 2021.	December 2021	The occupancy-abundance relationship and sampling designs using occupancy to monitor populations of Asian bears
Fuller, A.K., B. Augustine, E. Clifton, A. Hajek, A. Blumenthal, J. Beese, A. Hurt, C. Brown-Lima. Utilizing occupancy models to compare effectiveness of dogs and humans at detecting the invasive spotted lanternfly in vineyards and forests. Forest Ecosystem Monitoring Cooperative. 2022 Annual Conference. Burlington, VT. December 14, 2022.	December 2022	Utilizing occupancy models to compare effectiveness of dogs and humans at detecting the invasive spotted lanternfly in vineyards and forests
Fuller, A.K., B. Augustine, E. Clifton, A. Hajek, A. Blumenthal, J. Beese, A. Hurt, C. Brown-Lima Utilizing occupancy models to compare effectiveness of dogs and humans at detecting the invasive spotted lanternfly in vineyards and forests. International Congress for Conservation Biology, Kigali, Rwanda. July 24, 2023.	July 2023	Utilizing occupancy models to compare effectiveness of dogs and humans at detecting the invasive spotted lanternfly in vineyards and forests
Fuller, A.K. and D. J. Harrison. 2011. The role of ecological reserves to maintain American marten and Canada lynx in a working forest landscape. Poster presentation at the 18th Annual Wildlife Society Conference, Waikola, Hawaii, November 9, 2011.	November 2011
Fuller, A.K. Review of Classification Ideas in Ecology. Presentaiton at Powell Center Working Group Meeting. May 20, 2020. Virtual.	May 2020	Review of Classification Ideas in Ecology
Fuller, A.K. Perspectives on Being a Unit Leader and Tips for Managing Cooperator Relationships: 2023 Cooperative Research Units Program All Hands Meeting, Tampa, Florida, February 27, 2023.	February 2023	Perspectives on Being a Unit Leader and Tips for Managing Cooperator Relationships
Fuller, A.K. Occupancy modeling of fishers informs management decision making related to harvest opportunities. Presented to Furbearer and Small Game Management Team Meeting. 16 July, 2015.	July 2015	Occupancy modeling of fishers informs management decision making related to harvest opportunities.
Fuller, A.K. New methods for monitoring Andean bears using sign surveys and camera trapping for occupancy, density, and connectivity. Invited presentation, International Union for Conservation of Nature, Bear Specialist Group. Taipei, Taiwan. 6 November, 2019.	November 2019	I present a summary of new methods for monitoring Andean bears using sign surveys and camera trapping for occupancy, density, and connectivity
Fuller, A.K. New York's Adirondack Moose Population. Moose, Disease, and Climate Workshop. Virtual.	May 2020	Collaborative research project on moose in the Adirondacks of New York
Fuller, A.K. Landscape-scale conservation in the Ecuadorian Andes: The Socio-Ecological Corridor. Department of Natural Resources Seminar Series. Cornell University, Ithaca, New York. 10 March, 2015.	March 2015	Landscape-scale conservation in the Ecuadorian Andes: The Socio-Ecological Corridor
Fuller, A.K. Landscape management and connectivity conservation for Andean bears. 25th International Conference on Bear Research and Management. Quito, Ecuador. 17 November, 2017.	November 2017	Landscape management and connectivity conservation for Andean bears
Fuller, A.K. Landscape design for conservation and management of animal populations using computational sustainability solutions. Invited plenary address to the CompSust 2016 Conference. Ithaca, NY. 6 July, 2016.	July 2016	Landscape design for conservation and management of animal populations using computational sustainability solutions
Fuller, A.K. Invited Presentation. Talking scents, species from feces, and candid critters: Remote monitoring of wildlife. Science and Suds, Hopshire Farm and Brewery. April 20, 2023	April 2023	Overview of research program on remote monitoring of wildlife
Fuller, A.K. Estimating the distribution of fishers in an expanding population in New York using noninvasive methods. American Wildlife Conservation Foundation. DeWitt, New York. 18 June, 2015.	June 2015	Estimating the distribution of fishers in an expanding population in New York using noninvasive methods.
Fuller, A.K. Developing a Lab Culture and Fostering an Inclusive Environment: 2023 Cooperative Research Units Program All Hands Meeting, Tampa, Florida, February 28, 2023	February 2023	Developing a Lab Culture and Fostering an Inclusive Environment
Fuller, A.K. Decision science: A process for integrating social science with ecological considerations in decision-making. Conservation Social Science Methods Workshop. Cornell University. January 30, 2022.	January 2023	A process for integrating social science with ecological considerations in decision-making
Fuller, A.K. Decision Making in Social-Ecological Systems. Seminar to Nepal Department of National Parks and Wildlife Conservation, Kathmandu, Nepal. April 13, 2022.	April 2022	Decision making in social-ecological systems
Fuller, A.K. Decision Making in Social-Ecological Systems. Seminar to Nepal Department of National Parks and Wildlife Conservation, Kathmandu, Nepal. April 13, 2022.	April 2022	Decision making seminar
Fuller, A.K. Balancing Acts: Navigating Human-Wildlife Conflict through Informed Decision-Making in Social-Ecological Systems. World Wildlife Fund, Nepal. Kathmandu, Nepal. December 8, 2023. (Invited)	December 2023	Navigating Human-Wildlife Conflict through Informed Decision-Making in Social-Ecological Systems
Fuller, A.K. 2021. Strategic Structuring of a CRU Career. Cooperative Research Units New Scientist Orientation. September 30, 2021.	September 2021	Strategic structuring of a research program
Fuller, A.K. 2017. The study of animal populations by capture-recapture. Cornell University student chapter of The Wildlife Society. 11 April, 2017.	April 2017	The study of animal populations by capture-recapture
Fuller, A.K. 2017. Camera trap surveys to inform management decision making. Canadian Society for Ecology and Evolution annual meeting. Victoria, British Columbia. 9 May, 2017.	May 2017	Camera trap surveys to inform management decision making.
Fuller, A.K. 2017. Biodiversity conservation in the Andean bear corridor. Secretary of Environment, Government of Ecuador. 26 April, 2017.	April 2017	Biodiversity conservation in the Andean bear corridor.
Fuller, A.K. 2015. Estimating the distribution of fishers in an expanding population in New York using noninvasive methods. American Wildlife Conservation Foundation. DeWitt, New York. 18 June, 2015.	June 2015	Estimating the distribution of fishers in an expanding population in New York using noninvasive methods
Fuller, A.K. Spatial Models for Animal Populations. Presented to the Cornell University, Cornell Biological Field Station Seminar Series. July 30, 2014.	July 2014	Spatial Models for Animal Populations
Fuller, A.K. Science to Inform Management: Wildlife Research of the New York Cooperative Fish and Wildlife Research Unit. New York Cooperative Fish and Wildlife Research Unit Coordinating Committee Meeting. September 16, 2014.	September 2014	overview of wildlife research of the NYCFWRU
Fuller, A.K. Interviewing like a professional. 66th Annual Northeast Fish and Wildlife Conference. Newton, Massachusetts. April 26, 2010.	April 2010
Fuller, A.K, D. J. Harrison, and W. B. Krohn. Balancing landscape-scale biodiversity conservation and forestry. Invited seminar to the Maine Cooperative Forestry Research Unit, University of Maine, Orono, Maine. April 14, 2010.	April 2010
Fuller, A. K., J. A. Royle, and C. Sutherland. Investigation of mink abundance and density related to polychlorinated biphenyl contamination within the Hudson river drainage: Summary of data and results. Presentation to Hudson River Trustees. Albany, NY. 29 August 2013.	August 2013	Summary of data analysis on mink abundance and density study
Fuller, A. K., D. J. Harrison, and W. B. Krohn. A Wildlife Habitat-Based Modeling Approach to Forest Landscape Planning. Paper presented at The Wildlife Society, 17th Annual Conference, Snowbird, Utah. October 5, 2010.	October 2010
Fuller, A. K., D. J. Harrison, and W. B. Krohn. 2010. Managing The Nature Conservancy's Working Forest Landscape Given Multiple Biodiversity and Fiber Objectives: Final Contract Presentation to The Nature Conservancy. Brunswick, Maine. November 9, 2010.	November 2010
Fuller, A. K., D. J. Harrison, and W. B. Krohn. 2010. A Structured Decision Making Approach for Use in Forest Landscape Planning. Presented at Managing Working Forest Landscapes for Multiple Biodiversity and Fiber Objectives: A Workshop for Landowners, Land Managers, and Biologists. University of Maine, Orono, Maine. November 10, 2010.	November 2010
Fuller, A. K. Structured decision making for threatened and endangered species. Invited presentation, New York State Chapter of The Wildlife Society, Bronx Zoo, New York. 2 March, 2012	March 2012
Fuller, A. K. Spatially explicit models for density estimation of mammals using noninvasive DNA sampling. Invited presentation to the academic program external review team for the Department of Natural Resources, Cornell University. January 22, 2013.	January 2013	Presented novel approach to density estimation
Fuller, A. K. Science to inform management: the New York Cooperative Fish and Wildlife Research Unit. Presentation to the New York Fish and Wildlife Management Board. Hamilton, NY. 31 October 2013.	October 2013	Informing the fish and wildlife management board the research activities of the NY Coop Unit
Fuller, A. K. 2013. Spatial ecology and decision analysis. Overview of research program to graduate students and faculty, Department of Natural Resources, Cornell University. 27 August 2013.	August 2013	Overview of spatial ecology and decision analysis research program
Fuller, A. K. 2012. Core competencies and wildlife professionals in a changing world: Summary of symposium. The Wildlife Society Annual Conference, Portland, Oregon. 14 October, 2012.	October 2012
Fuller, A. K. 2011. Structured Decision Making in the NY Cooperative Fish and Wildlife Research Unit. Invited presentation at the NY Department of Environmental Conservation, Bureau of Wildlife Management Team Meeting, Hamilton, NY. January 6, 2011.	January 2011
Fuller, A. K. 2011. Interview Skills. Invited presentation in the Northeast Association of Fish and Wildlife Professionals Student Professional Development Workshop, 67th Annual Northeast Fish and Wildlife Conference, Manchester, New Hampshire. April 18, 2011.	April 2011
Fuller, A. K. 2011. Improving the Connection of Science and Management: Structured Decision Making and Adaptive Management in the Cooperative Research Unit Program. Adaptive Management Conference Series, Auburn, AL. August 31, 2011.	August 2011
Fuller, A. K. 2011. Biodiversity conservation in multiple-use landscapes. Invited talk, New York Chapter of the Wildlife Society Annual Meeting, Utica, NY. March 5, 2011.	March 2011
Fuller, A. K. 2010. Applications of Structured Decision Making and Adaptive Management in Invasive Species Management. Invited talk, New York Invasive Species Research Institute, presented at the Cornell Cooperative Extension Invasive Species In-Service. November 17, 2010.	November 2010
Forstater, E., Sun, C., Sutherland, C., Fuller, A.2014. Habitat preference of mink in Upstate New York. 18th Annual Undergraduate Research Symposium: Experiences in Field Ecology, December 9, 2014.	December 2014	Habitat preference of mink in Upstate New York
Fisher, WL, MJ Eaton, AK Fuller. 2012. “An Update on the Current Activities of the NY Cooperative Fish and Wildlife Research Unit.” Presentation to the Office of Inspector General, U.S. Department of the Interior. Reynolds Game Farm, Ithaca, NY. 12 July, 2012	July 2012
Fisher, W., and W. Hubert. 2009. American Fisheries Society's past, present and future efforts towards promoting demographic diversity. Annual Meeting, American Fisheries Society, Nashville, Tennessee, 30 August - 3 September 2009.	September 2009
Fisher, W. L. 4 September 2011. The importance of strategic direction in AFS. American Fisheries Society Leadership Workshop. Seattle, WA.	September 2011
Fisher, W. L. 29 June 2011. Environmental Flows Project Methods. New York Sustainable Flows Project Workshop, Skaneateles, NY	June 2011
Fisher, W. L. 22 August 2011. Integrating GIS across disciplines: how the intersection of biology and geography has influenced fisheries GIS. 5th International Symposium on GIS/Spatial Analyses in Fishery and Aquatic Sciences. Wellington, New Zealand.	August 2011
Fisher, W. L. 2012. Importance of strategic direction. Western Division of the American Fisheries Society Leadership Workshop. Jackson, WY.	March 2012
Fisher, W. L. 2012. Importance of strategic direction. Southern Division of the American Fisheries Society Leadership Workshop. Biloxi, MS.	January 2012
Fisher, W. L. 2012. Cooperative Research Units: A collaborative fisheries research partnership between universities and agencies. 2012 Annual Meeting of the New York Chapter of the American Fisheries Society. Lake Placid, NY.	February 2012
Fisher, W. L. 2 November 2011. The American Fisheries Society: A Professional Organization for Students. AFS Cornell Student Subunit Meeting, Ithaca, NY.	November 2011
Eaton, M.J., Fuller, A.K., Corwin, K., Rosenblatt, D., Ozard, J., Holst, L. Applying the SGCN decision model for species priority classification. Presentation of draft decision model to external technical review team for NYSDEC State Wildlife Action Plan preparation. Feb. 6, 2013.	February 2013	Applying the SGCN decision model for species priority classification
Davis, C. M., T. Katzner, M. Palumbo, V. Slabe, and S.M. Grodsky. 2024. Developing a framework for non-lead ammunition incentive programs for Bald and Golden Eagle conservation in the northeastern U.S. Annual Meeting of the Raptor Research Foundation.	October 2024	We will leverage these data to create a comprehensive, theoretical framework for implementing cost-effective non-lead ammunition distribution programs as an eagle conservation measure in the northeastern U.S.
Davis, C. M., S. M. Grodsky, M. D. Palumbo, T. Katzner. 2024. Testing the efficacy of a non-lead ammunition rebate program for eagle conservation in New York. Winter Meeting of the Atlantic Flyway Council Technical Sections. 2/26/24.	February 2024	Non-lead ammo and eagles
Davis, C. M., S. M. Grodsky, M. D. Palumbo, T. Katzner. 2024. Testing a non-lead ammunition rebate program for eagle conservation in New York State. Cornell Cooperative Extension Allegany County 31st Annual Rural Landowner Workshop. 3/2/2024.	March 2024	Non-lead ammo and eagles
D Monson et al. (SA Sethi 6th). 2017. “Understanding trophic relationships of sea otters and their effects on demographic attributes.” Sea Otter Conservation Workshop, Seattle, WA.	March 2017	Bayesian belief network model to identify research gaps for AK Sea Otter.
D Esler et al. (SA Sethi 7th). 2016. “Barrow’s Goldeneye demographic responses to changing mussel conditions on wintering areas: a conceptual model exercises,” Alaska Bird Conference, Cordova, AK.	December 2016	Stuctured conceptual modeling to identify research gaps for seabirds.
Crum, N.J. and A.K. Fuller. Estimating the distribution of moose across New York using hunter observations. New York Cooperative Fish and Wildlife Research Unit Coordinating Committee Meeting. September 16, 2014.	September 2014	moose occupancy
Crum, N., A.K. Fuller, and C. Sutherland. Estimating the occurrence of moose in New York using hunter survey data. 71st Annual Northeast Fish and Wildlife Conference. 21 April, 2015.	April 2015	Estimating the occurrence of moose in New York using hunter survey data.
Crum, N. J., A. K. Fuller, C.S. Sutherland, H. Kretser, M. Glennon, M. Schwartz, and K. Pilgrim. 2015. Population Structure and Recolonization Dynamics of Moose in Northeastern North America. The Wildlife Society Conference, Winnipeg, MB. October 19, 2015.	October 2015	Population Structure and Recolonization Dynamics of Moose in Northeastern North America
Cagle, A. E., S. M. Grodsky, A. Armstrong, G. Exley, J. Macknick, J. Sherwin, and R. R. Hernandez. 2021. Floating photovoltaic solar energy: Metrics for potential land sparing and wildlife interactions. American Wind Wildlife Institute. 2021 Solar Symposium.	December 2021	We established metrics for assessing effects of floating solar on land sparing. We explored potential for interactions between floating solar and wildlife.
C Rose et al. (SA Sethi 7th). 2017. “Satellite tags to measure halibut survival after trawler deck release,” Groundfish Forum annual captain’s meeting, Seattle, WA.	January 2017	Estimation of discard mortality for a commercially important taxon.
Brown-Lima, C., J.L. Price Tack, Q. Shi, J. Dean, C. Gomes, and A.K. Fuller. Informing regional invasive species management: Defining the problem, objectives, and actions. The Wildlife Society's 28th Annual Conference.	November 2021	Informing regional invasive species management
Brinkman, E. L. and W. L. Fisher. 2009. Life history and management of alligator gar in the Red River, Oklahoma-Texas. Spring Meeting of Southern Division of the American Fisheries Society, New Orleans, Louisiana, 15-18 January 2009.	January 2009
Brazeal, J.A., and A.K. Fuller. A multiscale, multispecies occupancy model: Investigating spatial and temporal species use and interactions. Virtual International Statistical Ecology Conference.	June 2020	We develop a novel multiscale, multispecies occupancy model: Investigating spatial and temporal species use and interactions
Boycott, T.J., T.I. Simamora, and S.M. Grodsky. Occurrence dynamics of grassland birds on protected and working lands in New York: Implications for solar energy development. DNRE Symposium, Cornell University, NY, January 19, 2024.	January 2024	Grassland birds and solar
Boycott, T.J., T.I. Simamora, and S. M. Grodsky. Grassland birds and solar energy in New York: Interactions and management implications across spatiotemporal scales. NYSDEC Bird and Mammal Diversity Team Annual Planning Meeting, Brockport, NY, October 11, 2023.	October 2023	Grassland birds and solar
Boycott, T.J., T. Simamora, and S. M. Grodsky. Grassland birds and solar energy in New York: Interactions and management implications across spatiotemporal scales. New York Cooperative Fish and Wildlife Research Unit Annual Coordinating Committee Meeting, Albany, NY, May 24, 2023.	May 2023	Grassland birds and solar
Bennett, A., I. Caldwell, L. Walston, A. Dolezal, C. Rochon, A. Feggestad, and S. M. Grodsky. 2021. A Research Roundtable Discussion: The future of research on pollinator habitat at solar sites. American Wind Wildlife Institute Solar Power and Wildlife/Natural Resources Symposium. Virtual.	December 2021	Group presentation on pollinators and solar energy development to an academic and industry audience.
B Harris et al. (SA Sethi 4th). 2017. “Seascape-scale modelling of benthic habitat disturbance from commercial fishing activities.” AK Chapter, American Fisheries Society meeting, Fairbanks, AK.	March 2017	Benthic habitat modeling to support fisheries gear modification management.
Augustine, B.C., J.A. Royle, and A.K. Fuller. 2020. Cluster spatial capture-recapture models for autonomous recording units. The Wildlife Society 27th Annual Conference. Virtual.	September 2020	Noninvasive survey methods have come to dominate how we monitor populations and test ecological hypotheses. Arguably, camera traps and genetics have been the most successful noninvasive survey methods, but many species are difficult to monitor efficiently with these methods, but easy to hear. Examples include many frogs, birds, and primates.<br>Autonomous recording units, or ARUs, are increasingly being used for these species. In addition to providing a more efficient way to monitor certain spe
Augustine, B.C., J.A. Royle, R.B. Chandler, and A.K. Fuller. 2021. Cluster spatial capture-recapture models for autonomous recording units. EURING Analytical Meeting and Workshop.	June 2021	Using ARUs for density estimation
Augustine, B.C., J.A. Royle, D.W. Linden, and A.K. Fuller. Spatial capture recapture with genotyping error. Virtual International Statistical Ecology Conference. June 22 2020.	June 2020	We present a new model for spatial capture recapture with genotyping error
Augustine, B., J.A. Royle, D. Linden, and A.K. Fuller. Improving inference in genetic capture-recapture studies using spatial partial identity models allowing for genotyping error. American Fisheries Society & The Wildlife Society 2019 Joint Annual Conference. Reno, Nevada. October 3, 2019.	October 2019	The recently introduced Categorical Spatial Partial Identity Model relaxes the requirement that multiple individuals in the population cannot share the same genotype by probabilistically relating samples to individuals, rather than making a deterministic linkage. Here, we generalize this model to allow for genotyping error with the addition of multiple genotyping replicates as data.
Anthony A. Echelle, Michael S. Schwemm, Nicholas J. Lang, Justin S. Baker, Robert M. Wood, Ronald A. Van Den Bussche, and William L. Fisher. 2013. Systematics and Conservation Genetics of Least Darter. American Society of Ichthyologists and Herpetologists Annual Meeting. Albuquerque, NM.	July 2013	We report unusually high geographic structure in populations at the southern margin of the range of the widely distributed Least Darter (E. microperca). The results suggest these populations represent a genetically distinct species.
Almeida, R. M., R. Schmitt, S. M. Grodsky, A. S. Flecker, C. P. Gomes, L. Zhao, N. Barros, R. Kelman, and P. B. McIntyre. 2022. Opportunities and risks of floating solar power deployment on reservoirs. Joint Aquatic Sciences Meeting 2022. Grand Rapids, MI.	May 2022	Presentation discussing the opportunities and risks of floating solar power based on our 2022 Nature publication.
Alexiades, A., W. L. Fisher, and P. Sullivan. 2012. Brown trout population dynamics and angling behavior in New York streams: evaluation of a stocking model. 142nd Annual Meeting of the American Fisheries Society, St. Paul, MN. 20 August 2012.	August 2012
Alexiades, A., B. Fisher, and P. Sullivan. 2012. Brown trout population dynamics and angling behavior in New York streams. 2012 Annual Meeting of the New York Chapter of the American Fisheries Society. Lake Placid, NY.	February 2012
Alexiades, A. V., and W. L. Fisher. 2013. Brown trout population dynamics and angling behavior in New York streams: evaluation of a stocking model. 2013 Annual Meeting, New York Chapter of the American Fisheries Society, Watertown, New York, 30 January - 1 February 2013.	January 2013	We are evaluating the Catch Rate Oriented Trout Stocking model used in New York State to determine hatchery production and stream stocking rates of brown trout. Results from this study will inform stream trout management by the New York State Department of Environmental Conservation.
Adams, M.A., and Fuller, A. K. 2012. Home range models of animal space use. 68th Northeast Fish and Wildlife Conference, Charleston, WV. April 16, 2012.	April 2012
Adams, M. C., and Fuller, A. K. 2012. Habitat and spatial ecology of black bears in New York. Department of Natural Resources, Cornell University, Graduate Student Association Symposium. 19 January, 2012.	January 2012
Adams, M. C., and A. K. Fuller. 2011. Habitat and Spatial Ecology of Black Bears in New York. Invited presentation to the Steuben County Honey Bee Association. June 13.	June 2011
Adams, M. C., C. S. Sun, and A. K. Fuller. 2011. Black Bears in New York. Invited presentation to the Finger Lakes Region of the New York State Parks. Watkins Glen, NY. October 20, 2011.	October 2011
Adams, M. C. and A. K. Fuller. 2013. Black Bear Space Use and Resource Selection in an Expanding Population in New York. 69th Annual Northeast Fish & Wildlife Conference, Saratoga Springs, NY. 7-9 April, 2013.	April 2013	We quantified annual and seasonal home ranges for 18 female and 15 male bears, and examined 2nd order (home-range scale) selection decisions using covariates including habitat type, road density, human density, stream density, and elevation. The results will provide a comparison of the resource selection decisions of black bears between the recently expanded and traditional core areas.
Adams, M. A., and A. K. Fuller. 2012. Black Bear Habitat Selection and Movements in New York: a Research Update, NYSDEC Big Game Team Meeting. September 26, 2012.	September 2012
A Nimick et al. (SA Sethi 5th). 2017. “Fishing effects in 3D – it’s not all about bottom contact anymore.” AK Chapter, American Fisheries Society meeting, Fairbanks, AK.	March 2017	Extension of existing benthic habitat models to 3-D.
TS Smeltz et al. (SA Sethi 4th). 2017. “Seascape-scale modelling of benthic habitat disturbance from commercial fishing activities,”NY Chapter, American Fisheries Society meeting, Buffalo, NY.	February 2017	Basin-scale habitat impacst modeling for seascape management.
Eaton, M.J., P.T. Hughes, J.E. Hines, J.D. Nichols. Testing metapopulation concepts: effects of patch characteristics and neighborhood status on occupancy dynamics. Annual meeting of the Wildlife Society. Portland, OR, October 13-17, 2012.	October 2012

Theses and Dissertations

Theses and Dissertations	Publication Date
Wong, A. 2018. Methodologies for abundance estimation of moose (Alces alces) and other rare species. MS Thesis.	December 2018
Trishna Rayamajhi. 2024. Spatial ecology of Asiatic wild dogs (Cuon alpinus) in tropical forests of Nepal. MS Thesis, Cornell University.	December 2023
Sun, C. 2019. Identifying landscape-wide spatial heterogeneity in population density and genetic structure of American black bear (Ursus americanus) in New York and the northeastern United States. PhD Dissertation.	August 2019
Springer, V. 2018. Occupancy and co-occurrence of carnivores in the Ecuadorian Andes. MS Thesis.	December 2018
Santiago García Lloré. 2024. Social-Ecological Factors Associated with Human–Andean bear conflicts in the western Ecuadorian Andes. Dissertation. Cornell University.	May 2024
Ross, T. J. 2012. Effects of anthropogenic stream alteration on brown trout habitat, movement and physiology. Master's Thesis, Cornell University. 119 p.	August 2012
Rose, J. 2022. Representation of energy justice in sustainability planning: A case study of the District of Columbia, USA. MS thesis. Cornell University.	September 2022
Robert Marquez. 2024. Conservation and management of the Andean bear in Colombia, Ecuador, and Peru: from local to regional scales. Dissertation, Cornell University.	May 2024
QUANTIFYING EFFECTS OF LARGE-SCALE SOLAR FACILITIES ON ECOSYSTEMS IN NEW YORK STATE USING NDVI-BASED GEOSPATIAL ANALYSIS	September 2023
Paufe, M. 2019. Diversity in spawning habitat across Great Lakes Cisco Population. Masters Thesis, Cornell University, Ithaca NY.	May 2019
Patterson, C. P. 2009. Ecology of a reintroduced population of paddlefish, Polyodon spathula, in Lake Texoma. Master's Thesis, Oklahoma State University, Stillwater. 56 pp.	December 2009
Francis, A.T. 2019. Haudenosaunee forest stewardship. MS Thesis.	May 2019
Crum, N.J. 2016. Spatial Ecology and Recolonization Dynamics of Moose in New York and Northeastern North America. M.S. Thesis.	January 2016
C. Sun. Estimating black bear population density in the southern black bear range of New York with a non-invasive, genetic, spatial capture-recapture study.	May 2014
C. P. Nadeau. Managing species of conservation need in the face of climate change: A landscape and trait-based approach.	May 2014
Brown T. (2020) CONTEMPORARY SPATIAL EXTENT AND ENVIRONMENTAL DRIVERS OF LARVAL COREGONINE DISTRIBUTIONS ACROSS LAKE ONTARIO. Cornell University, M.S. Thesis, 34 pp.	December 2020

Technical Publications

Technical Publications	Publication Date
Vashon, J., D. Harrison, A. Fuller, D. Mallett, S. McLellan, W. Jakubas, and J. Organ. 2010. Documenting the Response of Canada Lynx to Declining Snowshoe Hare Populations in an Intensively Managed Private Forest Landscape in Northern Maine. Pages 57-60 In Meyer, S. R. (Ed.). Cooperative Forestry Research Unit: 2009 Annual Report. University of Maine. Orono, Maine. 82p.	May 2010
Vashon, J., D. Harrison, A. Fuller, D. Mallet, W. Jakubas, and J. Organ. 2011. Documenting the response of Canada lynx to declining snowshoe hare populations in an intensively managed private forest landscape in northern Maine. Pages 49-51 in Mercier, W. J. and A. S. Nelson (eds.) Cooperative Forestry Research Unit: 2010 Annual Report, The University of Maine, Orono.	November 2011
Vashon, J., D. Harrison, A. Fuller, D. Mallet, S. McLellan, W. Jakubas, and J. Organ. 2009. Documenting the response of Canada lynx to declining snowshoe hare populations in an intensively managed private forest landscape in northern Maine. Maine Cooperative Forestry Research Unit 2008 Annual Report, University of Maine, December, 2009.	December 2009
Turton, D., W. Fisher, T. Seilheimer, and R. Esralew. 2009. An assessment of environmental flows for Oklahoma. Final Report for Oklahoma Water Resource Research Institute. 63 pp.	November 2009
Seilheimer, T. and W. Fisher. 2008. Instream flow assessment of springs and streams draining the Arbuckle-Simpson aquifer. Final Report, Oklahoma Water Resource Board., Oklahoma City, OK. 49 pp.	January 2009
Seilheimer, T. S., and W. L. Fisher. 2009. Instream flow assessment of Mill Creek, a stream draining the Arbuckle-Simpson aquifer. Final Report, Oklahoma Water Resources Board, Oklahoma City, OK. 43 pp.	August 2009
Royle, J.A. and A.K. Fuller. 2015. Spatial Capture-Recapture Models to Estimate Abundance and Density of Animal Populations. IPDS: IP-053995	June 2015
Robinson, K.F., A.K. Fuller, M. V. Schiavone, and B. Swift. 2015. A structured decision making approach to mitigating wild turkey population decline in New York State. Summary of Findings to the New York State Department of Environmental Conservation, Albany, NY. 27 pp.	October 2015
Robinson, K.F., A.K. Fuller, J.E. Hurst, B. Swift, A. Kirsch, J. Farquhar. 2015. A structured decision making approach to white-tailed deer buck harvest management in New York State. Summary of Findings to the New York State Department of Environmental Conservation, Albany NY. 207 pp.	October 2015
Nadeau, C. P. and A. K. Fuller. 2014. Managing species of conservation need in the face of climate change: a landscape and trait based approach, Interim report. U.S. Geological Survey, New York Cooperative Fish and Wildlife Research Unit, Department of Natural Resources, Cornell University, Ithaca, NY, USA.	May 2014
Lorensen, J., W. L. Fisher, and J. R. Bidwell. 2008. Effects of Dredging and Dike Notching on the Aquatic Biota, Habitat, and Water Quality of the McClellan-Kerr Arkansas River Navigation System. U. S. Army Corps of Engineers, Little Rock, AR. 17 pp.	January 2009
Kurzawski, K. F., W. L. Fisher, D. Miller, and J. L. Long. 2013. The 2012 Salary Survey of Public and Private Sector Fisheries Employers in the United States and Canada. Fisheries 38:00-00.	April 2013
Harrison, D., S. Olson, D. Mallet, J. Vashon, and A. Fuller. 2012. Relationships among commercial forest harvesting, snowshoe hares and Canada lynx in Maine. Pages 95-98 in B. E. Roth (Ed). Cooperative Forestry Research Unit: 2011 Annual Report. University of Maine, Orono, ME. 111 pp.	September 2012
Harrison, D., S. Olson, D. Mallet, A. Fuller, and J. Vashon. 2014. Relationships among forest harvesting, snowshoe hares and Canada lynx in Maine. Cooperative Forestry Research Unit: 2013 Annual Report. University of Maine. Roth, B.E. (Ed.) Orono, ME. 80 p.	March 2014
Harrison, D., S. Olson, D. Mallet, A. Fuller, and J. Vashon. 2014. Relationships among forest harvesting, snowshoe hares and Canada lynx in Maine. Cooperative Forestry Research Unit: 2013 Annual Report. University of Maine. Roth, B.E. (Ed.) Orono, ME. 80 p.	August 2014
Fuller, A.K., Royle, A.J., and Madon, B.M. 2012. Study plan investigation of mink abundance relative to polychlorinated biphenyl (PCB) contamination within the Hudson river drainage. Draft report to the Hudson River Natural Resource Trustees. 15 February, 2012. 74pp.	February 2012
Fuller, A. K., and D. J. Harrison. 2011. A landscape planning initiative for northern Maine using area-sensitive umbrella species. Final report to the Maine Chapter of The Nature Conservancy. 133 pp. July 20, 2011.	July 2011
Fisher, W.L., Seilheimer, T.S., and Taylor, J.M., 2012, Biological assessment of environmental flows for Oklahoma: U.S. Geological Survey Open-File Report 2012–1114, 43 p.	May 2012
Fisher, W. L. 2012. Why join AFS? Fisheries 37(1):3.	January 2012
Fisher, W. L. 2012. The value of meetings. Fisheries 37(2):51, 89.	February 2012
Fisher, W. L. 2012. The functioning AFS network. Fisheries 37(8):339,379.	August 2012
Fisher, W. L. 2012. Social networks: their role in fisheries. Fisheries 37(6):243.	June 2012
Fisher, W. L. 2012. Our international connections. Fisheries 37(4):147.	April 2012
Fisher, W. L. 2012. Our changing professional society. Fisheries 37(3):99, 141.	March 2012
Fisher, W. L. 2012. Integrating ecological and social networks in fisheries. Fisheries 37(7):291.	July 2012
Fisher, W. L. 2012. Ecological networks: their role in fisheries. Fisheries 37(5):195.	May 2012
Fisher, W. L. 2011. The changing fisheries education adn employment connection. Fisheries 36(12):581, 622.	December 2011
Fisher, W. L. 2011. How large is AFS? Fisheries 36(11):529, 572.	November 2011
Fisher, W. L. 2011. Fisheries networks: building ecological, social, and professional relationships. Fisheries 36(9):425, 468.	September 2011
Fisher, W. L. 2011. Collaborative networks and AFS: how strong are our connections. Fisheries 36(10):477, 520.	October 2011
Fisher, W. L. 2010. Black bass distribution, abundance and management in eastern Oklahoma streams. Final Report, Federal Aid Grant F-77-R, Oklahoma Department of Wildlife Conservation, Oklahoma City, OK.	February 2010
Echelle, A. A., R. A. Van Den Bussche, and W. L. Fisher. 2010. Conservation genetics of fish in the Blue River, Oklahoma. Final Report, U. S. Fish and Wildlife Service—U. S. Geological Survey Science Support Partnership Grant, Tulsa, OK	March 2010

Data or Software Releases

Type	Citation	Publication Date
Data Release	Fuller, A.K. and B. Augustine. 2024, Corresponding dataset for effectiveness of canine-assisted surveillance and human searches for early detection of invasive spotted lanternfly: U.S. Geological Survey data release, https://doi.org/10.5066/P1744ZNW.

Cooperative Fish and Wildlife Research Units Program: New York Education, Research and Technical Assistance for Managing Our Natural Resources

New York Research Activities

Cooperative Fish and Wildlife Research Units Program: New York
Education, Research and Technical Assistance for Managing Our Natural Resources