Wirth, L., A. Rosenberger, A. Prakash, R. Gens, F.J. Margraf, and T. Hamazaki. A remote-sensing, GIS-based approach to identify spawning habitat for fall chum salmon in a Sub-Arctic, glacially-fed river. Oral Presentation given to the Alaska Chapter of the American Fisheries Society.
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October 2013
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We present a new technique for identifying spawning habitat for fall spawning chinook salmon in cold environments, pointing out the need for not only in-situ habitat data, but long-term data indicating past reproductive success for this homing species.
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Winkelman, D. L., W. L. Kendall, and M. C. Dzul. 2019. Introduction to the symposium on the use of autonomous PIT tag antennas for modeling vital rates and movement. American Fisheries Society and The Wildlife Society 2019 Joint Annual Conference, Reno, Nevada, 29 Sep - 3 Oct 2019.
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October 2019
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This work provides an overview of the realized and potential contribution of the use of autonomous PIT tag readers to modeling vital rates and movement of fish.
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Vogel, S.K., Loftin, C., Zydlewski, J.D. Investigating the scientific networks of the Maine CRU. [poster] Maine Cooperative Fish and Wildlife Research Unit Annual Meeting. July 12, 2022. Orono, ME.
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July 2023
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The U.S. Geological Survey’s (USGS) Cooperative Fish and Wildlife Research Units (CRU) program establishes relationships among the USGS, U.S. Fish and Wildlife Service, Wildlife Management Institute, host universities, and state resource agencies. This research focuses on analyzing Unit scientist impacts and outputs by assessing the collaborative networks of the Units and the production of scientific publications as one measure of impact.
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Vogel, S.K., Loftin, C., Zydlewski, J.D. A (very) brief history of the Cooperative Research Units Program. [oral, invited keynote] Maine Cooperative Fish and Wildlife Research Unit Annual Meeting. July 12, 2022. Orono, ME.
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July 2023
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The U.S. Geological Survey’s (USGS) Cooperative Fish and Wildlife Research Units (CRU) program establishes relationships among the USGS, U.S. Fish and Wildlife Service, Wildlife Management Institute, host universities, and state resource agencies. This research focuses on analyzing Unit scientist impacts and outputs by assessing the collaborative networks of the Units and the production of scientific publications as one measure of impact.
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Vogel, S., Loftin, C., and Zydlewski, J. 2021 A collaborative organizational network analysis of the Cooperative Research Units program. 151st Annual Meeting of the American Fisheries Society. Baltimore, MD. November 6.
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November 2021
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The U.S. Geological Survey's Cooperative Fish and Wildlife Research Units Program (CRU) establishes a relationship among the U.S. Geological Survey (USGS), U.S. Fish and Wildlife Service (USFWS), Wildlife Management Institute (WMI), a host university, and state resource agencies.The goal is to elucidate how organizational factors may contribute to each cooperator network, how the networks have evolved, and how factors may influence future conditions of individual units and the CRU Program in ge
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Vogel, S., Loftin, C., and Zydlewski, J. (2022) Collaboration networks within the CRU program. 152st Annual Meeting of the American Fisheries Society. Spokane, WA.
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August 2022
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The U.S. Geological Survey’s (USGS) Cooperative Fish and Wildlife Research Units (CRU) program establishes relationships among the USGS, U.S. Fish and Wildlife Service, Wildlife Management Institute, host universities, and state resource agencies. This research focuses on analyzing Unit scientist impacts and outputs by assessing the collaborative networks of the Unitis and the production of scientific publications as one measure of impact.
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Vogel, S., Loftin, C., and Zydlewski, J. (2022) A Collaborative Organizational Network Analysis of the Cooperative Research Units Program. 2022 Atlantic Salmon Ecosystems Forum. January 11. University of Maine, Orono, Maine.
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January 2022
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The U.S. Geological Survey's Cooperative Fish and Wildlife Research Units Program (CRU) establishes a relationship among the U.S. Geological Survey (USGS), U.S. Fish and Wildlife Service (USFWS), Wildlife Management Institute (WMI), a host university, and state resource agencies. We are evaluating the program's structure and socio-technical connectivity to identify motivations, relationships, and layered networks among members and their relationships to outcomes through an Organizational Networ
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Vogel, S., C.S. Loftin, and J. Zydlewski. 2021. A Collaborative Organizational Network Analysis of the Cooperative Research Units Program. the Wildlife Society Annual Meeting, 1-5 November, virtual format.
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November 2021
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The U.S. Geological Survey's Cooperative Fish and Wildlife Research Units Program originated in 1935 to provide education and technical assistance through graduate research to address the information needs of the state, federal, and university cooperators. This study uses an organizational analysis approach to examine the relevance of the model in the current context of natural resource conservation, how organizational factors may contribute to each cooperator network, how the networks have evo
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Trowbridge, J., D. R. Diefenbach, T. A. Marques, T. M. McConnell, A. Van Buskirk, C. S. Rosenberry, W. D. Walter, and K. Lamp. Accounting for animal density gradients in distance sampling surveys. Southeast Deer Study Group Meeting, February 2024, Shepherdstown, WV.
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February 2024
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When roads are used as transects the distance sampling estimator likely will be biased because (1) deer are not distributed uniformly with respect to distance from a road and (2) roads are not distributed randomly on the landscape. We use auxiliary data on the density gradient of deer relative to transects and a generalized form of the distance sampling estimator to eliminate the assumption that objects must be uniformly distributed relative to the transect.
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Trowbridge, J., D. R. Diefenbach, T. A. Marques, T. M. McConnell, A. Van Buskirk, C. S. Rosenberry, W. D. Walter, and K. Lamp. Accounting for animal density gradients in distance sampling surveys. Pennsylvania Chapter of The Wildlife Society, March 2024, State College, PA
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March 2024
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When roads are used as transects the distance sampling estimator likely will be biased because (1) deer are not distributed uniformly with respect to distance from a road and (2) roads are not distributed randomly on the landscape. We use auxiliary data on the density gradient of deer relative to transects and a generalized form of the distance sampling estimator to eliminate the assumption that objects must be uniformly distributed relative to the transect.
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Tripp, H., R.A. Gitzen, A.L. Silvano, and J.B. Grand. 2017. Individual-based modeling to project viability of gopher tortoise populations under alternative management scenarios: a case study with two Alabama wildlife management areas. 71st Annual Conference of Southeastern Association of Fish and Wildlife Agencies. Louisville, KY, October 29-November 1, 2017,
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October 2018
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We developed a spatially-explicit, individual-based population simulation model (IBM) for gopher tortoises (Gopherus polyphemus) incorporating demographic rates from published studies throughout the range of the species. We then demonstrate this approach’s utility for evaluating potential viability under alternative management scenarios on two areas of state managed property in southern Alabama.
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Stored information for travel access
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February 2024
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Stored information for travel access
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Stewart, B.D., C.E. Moore, and J.B. Grand. 2019. Automated techniques for interpreting game camera images from surveys for Eastern Wild Turkeys. This is Auburn.
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February 2019
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We compare the results of game camera surveys conducted on wildlife openings and at randomly selected sites with and without the use of bait on three study areas across the state of Alabama. These results will influence the design of monitoring programs used to inform adaptive harvest management by the state agencies.
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Stewart, B.D., C.E. Moore, and J.B. Grand. 2018. Automated techniques for interpreting game camera images from surveys for Eastern Wild Turkeys. 72nd SEAFWA Annual Conference. Mobile, AL October 28-30.
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October 2018
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We compare the results of game camera surveys conducted on wildlife openings and at randomly selected sites with and without the use of bait on three study areas across the state of Alabama. These results will influence the design of monitoring programs used to inform adaptive harvest management by the state agencies.
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Stewart BD, Moore CE, and Grand JB. 2019. Determining Eastern Wild Turkey population response to 9-day delay in spring harvest season. SEAFWA, Hilton Head, South Carolina 27-30 October 2019
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October 2019
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We compared the effect of a delay in spring hunting seasons on Eastern Wild Turkey populations on 3 study areas to pseudo-controls on 4 areas. Hunter effort, season, and year affected occupancy, but the effects differed among sex and age classes.
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Stewart BD, Moore CE, and Grand JB. 2019. Automated techniques for interpreting game camera images from surveys for Eastern Wild Turkeys. SEAFWA Hilton Head, SC, 27-30 October 2019
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October 2019
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We compared 23 classification methods for images collected from camera surveys for Eastern Wild Turkeys. The use of machine learning greatly reduced the time required to interpret the thousands of photos that are often collected in game camera surveys, and with appropriate training data, could be extended to other species of wildlife.
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Stewart BD, Moore CE, and Grand JB. 2019. Automated techniques for interpreting game camera images from surveys for Eastern Wild Turkeys.
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October 2019
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We compared 23 classification methods for images collected from camera surveys for Eastern Wild Turkeys. The use of machine learning greatly reduced the time required to interpret the thousands of photos that are often collected in game camera surveys, and with appropriate training data, could be extended to other species of wildlife.
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Snyder, S., C.S. Loftin, and A.S. Reeve. 2023. Vulnerability assessment of groundwater influenced ecosystems in the northeastern United States. Northeast Association of Fish and Wildlife Agencies annual conference, April 30 - May 2., Hershey, PA. Oral presentation.
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April 2023
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Many wetlands, rivers, and streams receive groundwater as a portion of their baseflow, and this connection can be significant and important to system integrity and persistence. We estimated pixel-scale vulnerability (adaptive capacity, exposure, sensitivity), and we summarized vulnerability at pixel and watershed scales. Our results can inform conservation planning for these sensitive ecosystems in the northeastern United States.
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Snyder, S., C.S. Loftin, and A.S. Reeve. 2021. Predicting Probability of Groundwater Discharge to Stream Ecosystems with Landscape Variables in Maine, USA. Presentation at the Annual Meeting of the American Fisheries Society, Baltimore, MD, 6-10 November.
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November 2021
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Many rivers and streams receive groundwater as a portion of their baseflow, and this connection can be significant and important to lotic system integrity and persistence. We created and validated statistical geographic distribution models to predict areas where there are high probabilities of groundwater discharge, which may inform surveys for native Brook Trout.
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Snyder, S., C.S. Loftin, A.S. Reeve. 2022. Predicting the presence of Groundwater Influenced Ecosystems in the northeastern United States with ensembled correlative distribution models. The Maine Chapter of the Wildlife Society Meeting, 2 December, Orono, ME.
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December 2022
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Many wetlands, rivers, and streams receive groundwater as a portion of their baseflow, and this connection can be significant and important to system integrity and persistence. We estimated pixel-scale vulnerability (adaptive capacity, exposure, sensitivity), and we summarized vulnerability at pixel and watershed scales. Our results can inform conservation planning for these sensitive ecosystems in the northeastern United States.
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Snyder, S., C.S. Loftin, A.S. Reeve. 2022. Predicting the Presence of Groundwater Influenced Streams and Wetlands in the Northeastern US with Correlative Distribution Models with an Ensemble Approach. The American Fisheries Society Annual Meeting, 21-25 August, Spokane, WA.
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August 2022
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Many rivers and streams receive groundwater as a portion of their baseflow, and this connection can be significant and important to lotic system integrity and persistence. We created and validated statistical geographic distribution models to predict areas where there are high probabilities of groundwater discharge, which may inform surveys for native Brook Trout.
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Snyder, S., C. Loftin, and A Reeve. 2023. Identification of Groundwater Influenced Ecosystems. Maine Department of Inland Fisheries and Wildlife, Fisheries Division Annual Meeting, 13 September, Millinocket, ME.
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September 2023
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Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to water extraction and land use practices. We are applying geographically referenced information about known GDEs in the region in several modelling approaches to produce a logistic-scale distribution map of GDEs across the northeastern states to inform land management decisions that can enhance conservation of these systems.
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Ruiz, J, D. Dennerline, D. Degan, W. Jabour, C. A. Jennings. 2008. Are blueback herring distributed within desired habitat during summer stratification? Annual Meeting of the GA Chapter - American Fisheries Society. Jan. 29-31. Eatonton, GA.
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January 2008
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Ouimet, A., Vogel, S.K., Loftin, C., Zydlewski, J.D. Investigating collaborative networks: A Maine Co-op case study. [poster] Maine Cooperative Fish and Wildlife Research Unit Annual Meeting. July 12, 2022. Orono, ME.
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July 2023
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The U.S. Geological Survey’s (USGS) Cooperative Fish and Wildlife Research Units (CRU) program establishes relationships among the USGS, U.S. Fish and Wildlife Service, Wildlife Management Institute, host universities, and state resource agencies. This research focuses on analyzing Unit scientist impacts and outputs by assessing the collaborative networks of the Units and the production of scientific publications as one measure of impact.
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Njuguna, E., C. Murphy, C. Loftin, M. Hunter, D. Courtemanch, S. Horn, and P. Njoroge. 2022. Developing a Biotic Index for the Upper Tana Watershed, Kenya, using Community Science. Annual Meeting of the Association of Field Ornithologists, Plymouth, MA, 17-21 October.
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October 2022
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Measuring ecosystem integrity at a watershed scale often relies on assessments of aquatic macroinvertebrates, fish, and algae, yet indices developed from these taxa may be expensive and time consuming. The popularity of birding and the recent increases in community science projects associated with birds suggest that they may provide a promising alternative. We are developing an avian biotic index to assess the status of the Upper Tana Watershed in Kenya as a case study, using community science
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Njuguna, E. Murphy, C.A., Loftin, C., Hunter, M., McGill, B., Courtemanch, D., Njoroge, P. 2024. Bridging community science and standardized bird-based biotic indices to advance watershed monitoring. Presentation to Society for Freshwater Science Annual Meeting. Philadelphia, PA.
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June 2024
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Measuring ecosystem integrity at a watershed scale may be important to understanding conservation options and setting priorities. Community science bird data applied to watershed bioassessments may present new opportunities to connect avian monitoring with freshwater science while engaging the public.
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Margraf, F.J., K.J. Hartman, and A. Hafs. BIA: does it work or not?
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September 2013
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This work demonstrates that a minimum sample size of about 50 fish and a minimum range of about 30% dry weight of fat was needed to produce Biological Impedence Models useful for chum salmon in the Yukon River, Alaska. Along with improved procedures and standardized methods, these minimum sampling criteria should move the use of BIA to the fore in directly determining ecological condition of live fish in the field.
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Margadant, LE, CE Moore, and JB Grand. 2019. Habitat Selection by Female Eastern Wild Turkeys in Alabama. Southeastern Association of Fish and Wildlife Agencies, Hilton Head, South Carolina. 27-30 October 2019.
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October 2019
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We examined home ranges of female turkeys by comparing use and availability. Turkeys selected forested habitats on north and south facing forested slopes in winter and bottomlands during spring and summer.
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Margadant, LA,, Grand, JB, Stewart, BD, Keller, SR, and Moore, CE. 2019.
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March 2019
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We utilized GPS-logger transmitters to examine probability of use by turkeys at specific sites in response to bait.
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Margadant, L.A., C.E. Moore, and J.B. Grand. 2018.The effect of baited camera stations on eastern wild turkey home range and movement. 72nd SEAFWA Annual Conference. Mobile, AL October 28-30.
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October 2018
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We examined the effects of using bait on game camera surveys for wild turkeys by comparing home ranges and core use areas before and after bait deployment. These results will influence the design of wildlife surveys using game cameras.
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Lewis, M.A., L.R. Kline, L. Maher, D.H. Hayes, Identifying and C.S. Loftin. Quantifying Uncertainty in Manual Interpretations of Aerial Imagery of Seabird Nesting Islands. Oral presentation, American Ornithological Society and Birds Caribbean Joint Conference, 27 June - 2 July, San Juan, PR.
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June 2022
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Our research is investigating the use of remote sensing technologies for collecting population and habitat use information for colonial nesting bird species in coastal environments, while increasing the capacity for collaborative data collection and management with agency biologists and citizen scientists. Our project will increase efficiency in conducting colonial nesting bird surveys, improve datasets for population trend assessments, and it provides a model for developing collaborations of e
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Lama, T., J. Organ, S. DeStefano, and W. Johnson. 2018. Conservation genomics of Canada lynx. 70th Anniversary Meeting of the Massachusetts Unit, Westborough, MA.
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May 2018
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Management of Canada lynx populations occurring at the edge of the species range has been informed by limited regional studies mostly focused on demographics and ecology. We produced the first-ever reference genome for Canada lynx, which will serve as a publicly available community resource and a powerful tool for population-level assessments.
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Kline, L.R., M.A. Lewis, M. Brown, L. Maher, A. Revello, R.M. Turner, D.J. Hayes , and C.S. Loftin. 2022. Uncertainties in Artificial Intelligence Classifications of Colonial Nesting Seabirds in Plane-based Imagery. Northeast Natural History Conference, 22-24 April, Albany, NY.
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April 2022
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Our research is investigating the use of remote sensing technologies for collecting population and habitat use information for colonial nesting bird species in coastal environments, while increasing the capacity for collaborative data collection and management with agency biologists and citizen scientists. Our project will increase efficiency in conducting colonial nesting bird surveys, improve datasets for population trend assessments, and it provides a model for developing collaborations of e
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Kline, L. R., Lewis, M. A., Brown, M., Maher, L., Revello, A., Turner, R. M., Hayes, D. J., & Loftin, C. S. 2022. It's a bird! It's a buoy! Uncertainties in artificial intelligence classifications of colonial seabirds in plane-based imagery. Oral presentation, American Ornithological Society and Birds Caribbean Joint Conference, 27 June - 2 July, San Juan, PR.
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June 2022
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Our research is investigating the use of remote sensing technologies for collecting population and habitat use information for colonial nesting bird species in coastal environments, while increasing the capacity for collaborative data collection and management with agency biologists and citizen scientists. Our project will increase efficiency in conducting colonial nesting bird surveys, improve datasets for population trend assessments, and it provides a model for developing collaborations of e
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Kendall, W. L., D. L. Winkelman, M. C. Dzul, and C. B. Yackulic. 2019. Estimating vital rates and movement using autonomous PIT tag antennas: a design and analysis framework. American Fisheries Society and The Wildlife Society 2019 Joint Annual Conference, Reno, NV.
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October 2019
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This work provides a framework for designing and robustly analyzing PIT tagging data for population parameters.
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Keller, SR, CE Moore, and JB Grand. 2019. Comparing camera survey designs for monitoring eastern wild turkey populations. Southeastern Association of Fish and Wildlife Agencies, Hilton Head, South Carolina. 27-30 October 2019.
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October 2019
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. Our objectives were to: 1) compare estimates of detection and occupancy dynamics of turkey populations from camera surveys conducted on wildlife openings (WLO) versus randomly selected sites; and 2) investigate the effects of bait on estimates of detection and occupancy dynamics of turkey populations from camera surveys.
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Keller, S.R., C.E. Moore, and J.B. Grand. 2018. Comparing camera survey designs for monitoring eastern wild turkey populations. 72nd SEAFWA Annual Conference. Mobile, AL October 28-30.
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October 2018
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We compare the results of game camera surveys conducted on wildlife openings and at randomly selected sites with and without the use of bait on three study areas across the state of Alabama. These results will influence the design of monitoring programs used to inform adaptive harvest management by the state agencies.
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K. J. Fogelman, K. Coffman, J. Archambault, E. Irwin, M. Walsh, S. Brewer, and J. A. Stoeckel. A review of temperature, hypoxia, conductivity, and agricultural contaminant stressors to freshwater mussels. American Malacology Society 2023, Tuscaloosa, Alabama
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August 2023
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The thermal tolerances of many mussels are unknown despite the thermal and hypoxia threats to aquatic biota. Here, we review the current state of our knowledge.
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K. J. Fogelman, K. Coffman, J. Archambault, E. Irwin, M. Walsh, S. Brewer, and J. A. Stoeckel. A REVIEW OF TEMPERATURE AND HYPOXIA STRESSORS TO FRESHWATER MUSSELS. FMCS 2023, Portland, OR
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April 2023
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The thermal tolerances of many mussels are unknown despite the thermal and hypoxia threats to aquatic biota. Here, we review the current state of our knowledge.
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Guy, H., Vogel, S.K., Loftin, C., Zydlewski, J.D. Do state natural resource agencies prioritize DEI messaging? [poster] Maine Cooperative Fish and Wildlife Research Unit Annual Meeting. July 12, 2022. Orono, ME.
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July 2023
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The U.S. Geological Survey’s (USGS) Cooperative Fish and Wildlife Research Units (CRU) program establishes relationships among the USGS, U.S. Fish and Wildlife Service, Wildlife Management Institute, host universities, and state resource agencies. This research focuses on analyzing Unit scientist impacts and outputs by assessing the collaborative networks of the Units and the production of scientific publications as one measure of impact.
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Grand, James B. 2019. Alabama Turkey Research Project Update. Full Fans and Sharp Spurs. Alabama Department of Conservation and Natural Resources.
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December 2018
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Summarizes recently published research on survival, productivity, and abundance conducted by students on wild turkeys in Alabama.
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Gingery, T.M., and Diefenbach, D.R. 2022. Fawn Survival Patterns: looking beyond predators.7-11 November 2022, The Wildlife Society Annual Meeting, Spokane, WA.
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November 2022
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We present a commentary on the state of white-tailed deer fawn research. We suggest additional research focusing solely on predation will lead to limited novel insights.
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Fogelman, Kaelyn J., Susan Fuller, Jennifer Archambault, Elise Irwin, Maureen Walsh, Shannon Brewer, and James A. Stoeckel. A Review Of Temperature, Hypoxia, And Other Water Quality Stressors To Freshwater Mussels. Alabama Water Resources Conference, September 2023
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September 2023
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This literature search summarizes existing lethal and sublethal effects of temperature and hypoxia on unionids by life stage and taxonomy, discusses ecological and climate change implications of existing water quality stressor data, and identifies needs for future research and methodological standardization.
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Fogelman, K, J. A. Archambault, E. Irwin, M. Walsh, S. Brewer, and J. A. Stoeckel. 2022. A review of North American freshwater mussel lethal thermal tolerance. Joint Aquatic Sciences Meeting, Grand Rapids.
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May 2022
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The thermal tolerances of many mussels are unknown despite the thermal threats to aquatic biota. Here, we review the current state of our knowledge.
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Fleming, W.J. and D.R. Petit. September, 2000. Fluoride concentrations and effects on birds nesting near an aluminum reduction facility in Tennessee. The Wildlife Society 7th Annual Conference. Nashville, TN.
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September 2000
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Falconi, N., J. Organ, and S. DeStefano. 2018. Value of data sharing for conservation of the spectacled bear in Peru. Ecological Society of America, New Orleans, LA.
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August 2018
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Conservation information is expensive, particularly when conducting long-term studies of rare species in developing nations, such as the spectacled bear (Tremarctos ornatus) in Peru. For this reason, individual efforts may not be sufficient to develop an understanding of conservation needs, so we contacted about 40 researchers and asked them to share their records. Data sharing is extremely valuable since the money and time invested can yield multiple benefits and feed new projects, and open ac
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Falconi, N., J. Organ, and S. DeStefano. 2017. Value of data sharing for conservation: A study case of a large scale project of Spectacled bear (Tremarctos ornatus) in Peru. 25th International Conference on Bear Research & Management, Quito, Ecuador.
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November 2017
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Conservation information is expensive, particularly when conducting long-term studies of rare species in developing nations, such as the spectacled bear (Tremarctos ornatus) in Peru. For this reason, individual efforts may not be sufficient to develop an understanding of conservation needs, so we contacted about 40 researchers and asked them to share their records. Data sharing is extremely valuable since the money and time invested can yield multiple benefits and feed new projects, and open ac
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Dunham, KD, and JB Grand. 2019. Using integrated models to identify ecology and population dynamics of threatened arctic species. American Ornithological Society (137th Stated Meeting), Anchorage, Alaska, June 24, 2019 - June 28, 2019
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February 2019
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Recent developments in statistical modeling have provided a framework to integrate multiple data sources to provide better estimates of population size, trend, and vital rates, as well as formally describe important ecological relationships. We leverage these data sets to estimate vital rates including those that are unobservable, estimate population size and trend, and quantify ecological relationships for spectacled eiders (Somateria fischeri) .
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Dunham, KD, and Grand JB. 2019. Comparing the utility of integrated and non-integrated analysis results in a conservation decision context
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October 2019
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We employed integrated population models (IPM) to identify ecological relationships, estimate demographic parameters, and estimate population size and trend for threatened spectacled eiders (Somateria fischeri) breeding on the Yukon-Kuskokwim Delta, Alaska. Using IPM reduced uncertainty regarding the population status and identified future threats to viability.
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Diefenbach, D. R., T. A. Marques, J. L. Laake, T. M. Gingery, A. Van Buskirk, C. S. Rosenberry, W. D. Walter, and K. Lamp. Accounting for animal density gradients in distance sampling surveys. The Wildlife Society Annual Conference, 6-10 November 2022, Spokane, WA
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November 2022
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Monitoring the abundance of large ungulates via distance sampling has often used roads as transects because these species avoid observers on foot and dense vegetation rules out aerial surveys. We modified the distance sampling estimator to address the problems outlined above by using auxiliary data to model the density gradient of objects as a function of distance from road and habitat type.
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Dennerline, D.E., C.A. Jennings, and D. Degan. 2010. Evaluating relationships between hydroacoustic derived density and gillnet catch: Implications for Reservoir Fish Assessments. Fisheries Sampling with Active Methods Conference in Ceske Budejovice, Czech Republic, September 8-11, 2010.
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September 2010
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Acoustics and gillnets
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Dennerline, D.E. and C.A. Jennings. 2019. Safety through the eyes of a supervisor, your new lens. Annual Meeting, Southern Division, American Fisheries Society, Galveston, Texas, 24-27 January 2019.
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January 2019
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This talk is part of a symposium designed to provide an overview of the roles and responsibilities of mid-level supervisory managers to facilitate a smooth transition for those moving from mid-career biologist to a supervisory biologist position. This talk will specifically cover a new supervisors changing roles and responsibilities with respect to an organizations overall safety program.
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Dennerline, D., J. Peterson and D. Degan. 2007. Looking Both Ways at the Crosswalk. Joint Meeting of the South Carolina and Georgia Chapters of the American Fisheries Society, Tybee Island, GA.
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January 2007
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Dennerline, D., J. Peterson and D. Degan. 2007. Looking Both Ways at the Crosswalk. American Fisheries Society, 4th International Reservoir Symposium: Balancing Fisheries Management and Water Uses for Impounded River Systems. Atlanta, GA., 6-9 June 2007.
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June 2007
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Dennerline, D., C. Jennings, and D. Degan. 2009. Questions regarding the utility of gillnet catch as an index of abundance in reservoir fisheries assessments. 139th Annual Meeting, American Fisheries Society. Nashville, Tennessee, 31 August - 03 September, 2009
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September 2009
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Dennerline, D., C. Jennings and D. Degan. 2009. Questions Regarding the Utility of Gillnet Catch as an Index of Abundance in Reservoir Fisheries Assessments. Annual Meeeting of the Georgia Chapter of the American Fisheries Society, Perry, Georgia, 27-28 January 2009.
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January 2009
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Dennerline, D. E. and C. A. Jennings. 2016. Evaluation of mean rank shift for discerning changes in reservoir fish assemblages. Annual Meeting, American Fisheries Society, Kansas City, Missouri, 21-25 August 2016.
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August 2016
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We evaluated Mean Rank Shift (MRS) as a way to assess perturbation related changes in reservoir fish assemblages. Though the original MRS formulation was insensitive for detecting directional changes over time, our modified version showed promise for detecting changes like those simulated.
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Dennerline, D. E. and C. A. Jennings. 2016. Evaluation of mean rank shift for discerning changes in reservoir fish assemblages. Joint Meeting of the Georgia and Alabama Chapters of the American Fisheries Society, Columbus, Georgia, 9-11 February 2016.
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February 2016
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We evaluated Mean Rank Shift (MRS) as a way to assess perturbation related changes in reservoir fish assemblages. Though the original MRS formulation was insensitive for detecting directional changes over time, our modified version showed promise for detecting changes like those simulated.
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Dennerline, D. E. and C. A. Jennings. 2014. Evaluating reservoir fish assemblages: how much sampling is enough? 2014 Annual Meeting, Southern Division of the American Fisheries Society, Charleston, South Carolina, 22-26 January 2014.
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January 2014
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This research evaluated the efficacy of different sampling regimes for assessing changes in reservoir fish communities over time. Results suggest that for long term research and monitoring studies, annual effort expended to document community structure likely can be reduced or redirected to address other research questions to resolve key uncertainties in drivers of community change.
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Dennerline, D. 2005. 'Access'orizing Your Data. Annual Meeting of the Georgia Chapter of the American Fisheries Society.
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January 2005
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Cahill, C., S. DeStefano, J. Organ, and G. Batcheller. 2018. Transitioning to alternative ammunition on National Wildlife Refuges. 70th Anniversary Meeting of the Massachusetts Unit, Westborough, MA.
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May 2018
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Despite extensive scientific evidence of the detrimental effect of spent lead ammunition on wildlife and potential for human exposure, reducing the use of lead-based ammunition for hunting activities can be a controversial and contentious issue. Through the implementation of mail-back surveys and group interviews, this project aims to understand hunters' perceptions towards a voluntary transition to non-lead ammunition use for hunting white-tailed deer (Odocoileus virginianus), on targeted Nati
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2022 Vogel, S.K., Loftin, C., Zydlewski, J.D. Collaborative networks within the CRU program. [oral, invited] Atlantic International Chapter of the American Fisheries Society Annual Conference. September 18, 2022. Newry, ME.
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September 2022
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The U.S. Geological Survey’s (USGS) Cooperative Fish and Wildlife Research Units (CRU) program establishes relationships among the USGS, U.S. Fish and Wildlife Service, Wildlife Management Institute, host universities, and state resource agencies. This research focuses on analyzing Unit scientist impacts and outputs by assessing the collaborative networks of the Units and the production of scientific publications as one measure of impact.
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2022 Vogel, S.K., Loftin, C., Zydlewski, J.D. Collaborative networks within the CRU program. [oral, invited] Atlantic International Chapter of the American Fisheries Society Annual Conference. September 18, 2022. Newry, ME.
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September 2022
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