Zhang, Y., Y. Feng, S. Wang, Z. Tang, Z. Zhai, R. Viegut, E. Webb, A. Raedeke and Y. Shang. Deep Learning Models for Waterfowl Detection and Classification in Aerial Images. Information
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Abstract
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March 2024
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Waterfowl populations monitoring is essential for wetland conservation. Lately, deep 1 learning techniques have shown promising advancements in detecting waterfowl in aerial images. In 2 this paper, we present performance evaluation of several SOTA supervised and semi-supervised deep 3 learning models for waterfowl detection in aerial images using four new image datasets containing 4 197,642 annotations. The best-performing model, Faster R-CNN, achieved 95.38% accuracy in terms 5 of mAP. Semi-supervised learning models outperformed supervised models when the same amount 6 of labeled data were used for training. Additionally, we present performance evaluation of several 7 deep learning models on waterfowl classifications on aerial images using a new real-bird classification 8 dataset consisting of 6,986 examples and a new decoy classification dataset consisting of about 10,000 9 examples per category of 20 categories. The best model achieved accuracy of 91.58 % on the decoy 10 dataset and 82.88% on the real-bird dataset.
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Wirth, L., A. Rosenberger, A. Prakash, J. Margraf, and T. Hamazaki. 2012. A remote sensing/GIS-based approach to identify and model spawning habitat for fall chum salmon in a sub-arctic, glacially-fed river. Transactions of the American Fisheries Society 141:1349-1363.
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Download
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December 2012
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Williams, B.K., R.C. Szaro, and C.D. Shapiro. 2007. Adaptive Management: U.S. Department of the Interior Technical Guide. Adaptive Management Working Group, U.S. Department of the Interior, Washington, D.C.
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June 2007
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Williams, B.K., M.D. Koneff, and D.A. Smith. 1999. Evaluation of waterfowl conservation under the North American Waterfowl Management Plan. Journal of Wildlife Management 63:417-440.
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Abstract
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April 1999
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In 1986, the North American Waterfowl Management Plan (Plan) was signed by the U.S. Secretary of the Interior and the Canadian Minister of the Environment, with a goal of restoring waterfowl populations to levels of the 1970s iia habitat conservation. Central to the Plan is a set of ambitious continental population goals and habitat objectives to be met through broad-based public-private partnerships. Inadequate attention has been paid to evaluation of the Plan, despite the fact that Plan delivery can be enhanced via improved understanding of the effects of habitat conservation on waterfowl population dynamics. Several factors confound the effort to evaluate the Plan at regional and continental levels, including difficulties in accounting for national land-use policies. To date, evaluation has proceeded along 2 avenues of investigation: (1) the study of conservation actions at local-regional levels, and (2) statistical assessment of Plan assumptions. Among other things, results thus Ear indicate duck production from the U.S Northern Great Plains has increased in recent years, and intensive treatments such as planted cover have had positive effects on local reproductive success. Many duck species currently exceed Plan population goals; however, population levels of some species, most notably northern pintail (Anas acuta), remain below expectations based on historic relationships with precipitation. Management implications include the need for ongoing and more carefully prioritized conservation efforts, broader partnerships, and improved understanding of the linkages between habitats and biological processes. Delivery of the Plan must involve collaboration among the Continental Evaluation Team, joint venture partners, the Adaptive Management and Assessment Team of the U.S. Fish and Wildlife Service, and other conservation groups. Although the challenges and projected costs of Plan conservation efforts are considerable, the longterm potential benefits to waterfowl conservation are great.In 1986, the North American Waterfowl Management Plan (Plan) was signed by the U.S. Secretary of the Interior and the Canadian Minister of the Environment, with a goal of restoring waterfowl populations to levels of the 1970s iia habitat conservation. Central to the Plan is a set of ambitious continental population goals and habitat objectives to be met through broad-based public-private partnerships. Inadequate attention has been paid to evaluation of the Plan, despite the fact that Plan delivery can be enhanced via improved understanding of the effects of habitat conservation on waterfowl population dynamics. Several factors confound the effort to evaluate the Plan at regional and continental levels, including difficulties in accounting for national land-use policies. To date, evaluation has proceeded along 2 avenues of investigation: (1) the study of conservation actions at local-regional levels, and (2) statistical assessment of Plan assumptions. Among other things, results thus Ear indicate duck production from the U.S Northern Great Plains has increased in recent years, and intensive treatments such as planted cover have had positive effects on local reproductive success. Many duck species currently exceed Plan population goals; however, population levels of some species, most notably northern pintail (Anas acuta), remain below expectations based on historic relationships with precipitation. Management implications include the need for ongoing and more carefully prioritized conservation efforts, broader partnerships, and improved understanding of the linkages between habitats and biological processes. Delivery of the Plan must involve collaboration among the Continental Evaluation Team, joint venture partners, the Adaptive Management and Assessment Team of the U.S. Fish and Wildlife Service, and other conservation groups. Although the challenges and projected costs of Plan conservation efforts are considerable, the longterm potential benefits to waterfowl conservation are great.
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Williams, B.K., M. Eaton, and D.R. Breininger. 2011. Adaptive resource management and the value of information. Ecological Modelling 222:3305-3456.
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September 2011
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Williams, B.K. and J.D. Nichols. 2001. Systems identification and the adaptive management of waterfowl in the United States. Wildlife Biology 7:129-142.
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Abstract
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September 2001
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Waterfowl management in the United States is one of the more visible conservation success stories in the United States. It is authorized and supported by appropriate legislative authorities, based on large-scale monitoring programs, and widely accepted by the public. The process is one of only a limited number of large-scale examples of effective collaboration between research and management, integrating scientific information with management in a coherent framework for regulatory decision-making. However, harvest management continues to face some serious technical problems, many of which focus on sequential identification of the resource system in a context of optimal decision-making. The objective of this paper is to provide a theoretical foundation of adaptive harvest management, the approach currently in use in the United States for regulatory decision-making. We lay out the legal and institutional framework for adaptive harvest management and provide a formal description of regulatory decision-making in terms of adaptive optimization. We discuss some technical and institutional challenges in applying adaptive harvest management and focus specifically on methods of estimating resource states for linear resource systems.Waterfowl management in the United States is one of the more visible conservation success stories in the United States. It is authorized and supported by appropriate legislative authorities, based on large-scale monitoring programs, and widely accepted by the public. The process is one of only a limited number of large-scale examples of effective collaboration between research and management, integrating scientific information with management in a coherent framework for regulatory decision-making. However, harvest management continues to face some serious technical problems, many of which focus on sequential identification of the resource system in a context of optimal decision-making. The objective of this paper is to provide a theoretical foundation of adaptive harvest management, the approach currently in use in the United States for regulatory decision-making. We lay out the legal and institutional framework for adaptive harvest management and provide a formal description of regulatory decision-making in terms of adaptive optimization. We discuss some technical and institutional challenges in applying adaptive harvest management and focus specifically on methods of estimating resource states for linear resource systems.
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Williams, B.K. 2011. Resolving structural uncertainty in natural resources management using POMDP approaches. 222:1092-1102.
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Abstract
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March 2011
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In recent years there has been a growing focus on the uncertainties of natural resources management, and the importance of accounting for uncertainty in assessing management effectiveness. This paper focuses on uncertainty in resource management in terms of discrete-state Markov decision processes (MOP) under structural uncertainty and partial observability. It describes the treatment of structural uncertainty with approaches developed for partially observable resource systems. In particular, I show how value iteration for partially observable MDPs (POMDP) can be extended to structurally uncertain MDPs. A key difference between these process classes is that structurally uncertain MDPs require the tracking of system state as well as a probability structure for the structure uncertainty, whereas with POMDPs require only a probability structure for the observation uncertainty. The added complexity of the optimization problem under structural uncertainty is compensated by reduced dimensionality in the search for optimal strategy. A solution algorithm for structurally uncertain processes is outlined for a simple example in conservation biology. By building on the conceptual framework developed for POMDPs, natural resource analysts and decision makers who confront structural uncertainties in natural resources can take advantage of the rapid growth in POMDP methods and approaches, and thereby produce better conservation strategies over a larger class of resource problems. Published by Elsevier B.V.In recent years there has been a growing focus on the uncertainties of natural resources management, and the importance of accounting for uncertainty in assessing management effectiveness. This paper focuses on uncertainty in resource management in terms of discrete-state Markov decision processes (MOP) under structural uncertainty and partial observability. It describes the treatment of structural uncertainty with approaches developed for partially observable resource systems. In particular, I show how value iteration for partially observable MDPs (POMDP) can be extended to structurally uncertain MDPs. A key difference between these process classes is that structurally uncertain MDPs require the tracking of system state as well as a probability structure for the structure uncertainty, whereas with POMDPs require only a probability structure for the observation uncertainty. The added complexity of the optimization problem under structural uncertainty is compensated by reduced dimensionality in the search for optimal strategy. A solution algorithm for structurally uncertain processes is outlined for a simple example in conservation biology. By building on the conceptual framework developed for POMDPs, natural resource analysts and decision makers who confront structural uncertainties in natural resources can take advantage of the rapid growth in POMDP methods and approaches, and thereby produce better conservation strategies over a larger class of resource problems. Published by Elsevier B.V.
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Williams, B.K. 2011. Passive and active adaptive management: Approaches and an example. Journal of Environmental Management 92:1371-1378.
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Abstract
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May 2011
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Adaptive management is a framework for resource conservation that promotes iterative learning-based decision making. Yet there remains considerable confusion about what adaptive management entails, and how to actually make resource decisions adaptively. A key but somewhat ambiguous distinction in adaptive management is between active and passive forms of adaptive decision making. The objective of this paper is to illustrate some approaches to active and passive adaptive management with a simple example involving the drawdown of water impoundments on a wildlife refuge. The approaches are illustrated for the drawdown example, and contrasted in terms of objectives, costs, and potential learning rates. Some key challenges to the actual practice of AM are discussed, and tradeoffs between implementation costs and long-term benefits are highlighted. (C) 2010 Elsevier Ltd. All rights reserved.Adaptive management is a framework for resource conservation that promotes iterative learning-based decision making. Yet there remains considerable confusion about what adaptive management entails, and how to actually make resource decisions adaptively. A key but somewhat ambiguous distinction in adaptive management is between active and passive forms of adaptive decision making. The objective of this paper is to illustrate some approaches to active and passive adaptive management with a simple example involving the drawdown of water impoundments on a wildlife refuge. The approaches are illustrated for the drawdown example, and contrasted in terms of objectives, costs, and potential learning rates. Some key challenges to the actual practice of AM are discussed, and tradeoffs between implementation costs and long-term benefits are highlighted. (C) 2010 Elsevier Ltd. All rights reserved.
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Williams, B.K. 2011. Adaptive management of natural resources: Framework and issues. Journal of Environmental Management 2011:1346-1353.
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Abstract
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May 2011
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Adaptive management, an approach for simultaneously managing and learning about natural resources, has been around for several decades. Interest in adaptive decision making has grown steadily over that time, and by now many in natural resources conservation claim that adaptive management is the approach they use in meeting their resource management responsibilities. Yet there remains considerable ambiguity about what adaptive management actually is, and how it is to be implemented by practitioners. The objective of this paper is to present a framework and conditions for adaptive decision making, and discuss some important challenges in its application. Adaptive management is described as a two-phase process of deliberative and iterative phases, which are implemented sequentially over the timeframe of an application. Key elements, processes, and issues in adaptive decision making are highlighted in terms of this framework. Special emphasis is given to the question of geographic scale, the difficulties presented by non-stationarity, and organizational challenges in implementing adaptive management. Published by Elsevier Ltd.Adaptive management, an approach for simultaneously managing and learning about natural resources, has been around for several decades. Interest in adaptive decision making has grown steadily over that time, and by now many in natural resources conservation claim that adaptive management is the approach they use in meeting their resource management responsibilities. Yet there remains considerable ambiguity about what adaptive management actually is, and how it is to be implemented by practitioners. The objective of this paper is to present a framework and conditions for adaptive decision making, and discuss some important challenges in its application. Adaptive management is described as a two-phase process of deliberative and iterative phases, which are implemented sequentially over the timeframe of an application. Key elements, processes, and issues in adaptive decision making are highlighted in terms of this framework. Special emphasis is given to the question of geographic scale, the difficulties presented by non-stationarity, and organizational challenges in implementing adaptive management. Published by Elsevier Ltd.
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Williams, B.K. 2009. Markov decision processes in natural resources management: Observability and uncertainty. Ecological Modelling 220:830-840.
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Abstract
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March 2009
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The breadth and complexity of stochastic decision processes in natural resources presents a challenge to analysts who need to understand and use these approaches. The objective of this paper is to describe a class of decision processes that are germane to natural resources conservation and management, namely Markov decision processes, and to discuss applications and computing algorithms under different conditions of observability and uncertainty. A number of important similarities are developed in the framing and evaluation of different decision processes, which can be useful in their applications in natural resources management. The challenges attendant to partial observability are highlighted, and possible approaches for dealing with it are discussed. Published by Elsevier B.V.The breadth and complexity of stochastic decision processes in natural resources presents a challenge to analysts who need to understand and use these approaches. The objective of this paper is to describe a class of decision processes that are germane to natural resources conservation and management, namely Markov decision processes, and to discuss applications and computing algorithms under different conditions of observability and uncertainty. A number of important similarities are developed in the framing and evaluation of different decision processes, which can be useful in their applications in natural resources management. The challenges attendant to partial observability are highlighted, and possible approaches for dealing with it are discussed. Published by Elsevier B.V.
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Williams, B.K. 2007. Optimal management of non-Markovian biological populations. Ecological Modelling 200:234-242.
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Abstract
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January 2007
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Wildlife populations typically are described by Markovian models, with population dynamics influenced at each point in time by current but not previous population levels. Considerable work has been done on identifying optimal management strategies under the Markovian assumption. In this paper we generalize this work to non-Markovian systems, for which population responses to management are influenced by lagged as well as current status and/or controls. We use the maximum principle of optimal control theory to derive conditions for the optimal management such a system, and illustrate the effects of lags on the structure of optimal habitat strategies for a predator-prey system. Published by Elsevier B.V.Wildlife populations typically are described by Markovian models, with population dynamics influenced at each point in time by current but not previous population levels. Considerable work has been done on identifying optimal management strategies under the Markovian assumption. In this paper we generalize this work to non-Markovian systems, for which population responses to management are influenced by lagged as well as current status and/or controls. We use the maximum principle of optimal control theory to derive conditions for the optimal management such a system, and illustrate the effects of lags on the structure of optimal habitat strategies for a predator-prey system. Published by Elsevier B.V.
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Williams, B.K. 2006. Adaptive harvest management: where we are, how we got here, and what we've learned thus far. Transactions, North American Wildlife and Natural Resources Conference 71.
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June 2006
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Williams, B.K. 2003. Policy, research, and adaptive management in avian conservation. The Auk 120:212-217.
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January 2003
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Williams, B.K. 2003. A research agenda for bird conservation. Transactions, North American Wildlife and Natural Resources Conference 68: 304-311.
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June 2003
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Williams, B.K. 2001. Uncertainty, learning, and optimization in wildlife management. Environmental and Ecological Statistics 8:269-288.
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Abstract
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September 2001
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Wildlife management is limited by uncontrolled and often unrecognized environmental variation, by limited capabilities to observe and control animal populations, and by a lack of understanding about the biological processes driving population dynamics. In this paper I describe a comprehensive framework for management that includes multiple models and likelihood values to account for structural uncertainty, along with stochastic factors to account for environmental variation, random sampling, and partial controllability. Adaptive optimization is developed in terms of the optimal control of incompletely understood populations, with the expected value of perfect information measuring the potential for improving control through learning. The framework for optimal adaptive control is generalized by including partial observability and non-adaptive, sample-based updating of model likelihoods. Passive adaptive management is derived as a special case of constrained adaptive optimization, representing a potentially efficient suboptimal alternative that nonetheless accounts for structural uncertainty.Wildlife management is limited by uncontrolled and often unrecognized environmental variation, by limited capabilities to observe and control animal populations, and by a lack of understanding about the biological processes driving population dynamics. In this paper I describe a comprehensive framework for management that includes multiple models and likelihood values to account for structural uncertainty, along with stochastic factors to account for environmental variation, random sampling, and partial controllability. Adaptive optimization is developed in terms of the optimal control of incompletely understood populations, with the expected value of perfect information measuring the potential for improving control through learning. The framework for optimal adaptive control is generalized by including partial observability and non-adaptive, sample-based updating of model likelihoods. Passive adaptive management is derived as a special case of constrained adaptive optimization, representing a potentially efficient suboptimal alternative that nonetheless accounts for structural uncertainty.
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Williams, B.K. 2000. Perspectives on regulation of the sport harvest of wildlife. Transactions, North American Wildlife and Natural Resources Conference 65:61-64.
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June 2000
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Williams, B. K., and J. D. Nichols. 2001. Systems identification and the adaptive management of waterfowl in theUnited States. Wildlife Biology 7:129-142.
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September 2001
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Williams, B. K., M. D. Koneff, and D. A. Smith. 1999. Evaluation of waterfowl conservation under the north american waterfowl plan. Journal of Wildlife Management. 63(2):417-440.
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January 2000
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Williams, B. K., J. D. Nichols, and M. J. Conroy. 2002. Analysis and management of animal populations. Academic Press.
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April 2002
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Williams, B. K., J. D. Nichols, and M. J. Conroy. 2002. Analysis and management of animal populations. Academic Press .
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April 2002
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Williams, B. K. 2001. Uncertainty, learning, and the optimal management of wildlife. Env. Ecol. Stat. 8:269-288
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June 2001
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Williams, B. K. 2000. Perspectives on regulation of the sport harvest of wildlife. North American Wildlife and Natural Resources Conference 65:61-64.
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November 2000
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White, H. B., T. Decker, M.J. O’Brien, J.F. Organ and N. M. Roberts. 2015. Trapping and furbearer management in North American wildlife conservation, International Journal of Environmental Studies, DOI: 10.1080/00207233.2015.1019297
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March 2015
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Viegut, R.A., E.B. Webb, A.H. Raedeke, Z. Tang, Y.Zhang and Y. Shang. Nonbreeding waterfowl behavioral response to crewed and uncrewed aerial surveys on conservation areas in Missouri. Journal of the Southeastern Association of Fish and Wildlife Agencies
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Abstract
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June 2024
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Monitoring waterfowl populations provides the basis for improving habitat quantity and quality, establishing harvest regulations, and ensuring sustainable waterfowl populations through components of state natural-resource management objectives, joint-venture objectives, and the North American Waterfowl Management Plan. Waterfowl biologists currently use a variety of population and habitat monitoring methods ranging from informal ground observations to more systematic approaches, including low-level crewed aerial surveys. Although uncrewed aerial systems (UAS) may provide safer and more precise alternatives to traditional aerial survey techniques that are less disturbing to waterfowl and safer for people and waterfowl, there is limited information on how waterfowl in winter respond to UAS. We compared the behavioral responses of waterfowl to helicopters and UAS on Missouri Department of Conservation wetland conservation areas flown during waterfowl surveys October – February 2021-2022. Helicopter surveys were flown using an Airbus H125 helicopter at heights of 100 – 350 meters, with UAS surveys flown using a DJI Mavic 2 Pro UAS at 15 – 90 meters. Waterfowl behavior was categorized using flock-scan surveys recorded for 10-minute periods before, during, and after the surveys. Behaviors were categorized as alert, swim, fly, or abandonment and the proportion of time flocks spent in each behavior during- or post-survey were compared to pre-survey behaviors. Waterfowl behavior increased time spent swimming, flying, and abandonment in response to helicopter flights, whereas UAS flights did not influence waterfowl behavior regardless of survey height, guild or hunting season (open or closed). UAS may be a good alternative to traditional survey methods and are not likely to affect waterfowl distributions or energy expenditures during the survey periods.
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Viegut, R.A., E.B. Webb, A.H. Raedeke, Z. Tang, Y. Zhang, Z. Zhai, Z Liu, S. Wang J. Zheng and Y. Shang. Detection probability and bias in machine-learning-based unoccupied aerial system non-breeding waterfowl surveys. Drones
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Abstract
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February 2024
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Unoccupied aerial systems (UAS) may provide cheaper, safer, and more accurate and precise alternatives to traditional waterfowl survey techniques while also reducing disturbance to waterfowl. We evaluated availability and perception bias on machine-learning-based nonbreeding waterfowl count estimates derived from aerial imagery collected using a DJI Mavic Pro 2 on Missouri Department of Conservation intensively managed wetland Conservation Areas within the Upper Mississippi River Conservation Priority Area across Missouri, USA. UAS imagery was collected using a proprietary software for automated flight path planning in a back-and-forth transect flight pattern at 10 m/s, no earlier than two hours after sunrise and ending by 1:00 pm at 15 - 90 m in altitude above ground level (AGL) (ground sampling distance 0.38-2.29 cm/pixel). Waterfowl in images were labeled using LabelMe by trained labelers. These same images were simultaneously analyzed using a computer algorithm developed to detect and classify waterfowl in aerial images by species and sex. We developed and evaluated three generalized linear mixed models with Bernoulli distributions: one to model the probability that a bird present in the image area was visible in the image (availability), one to model the probability that a bird visible in the image was detected by the algorithm, and one to model the probability that a machine-learning generated detection was actually a false-positive and not an actual bird. Variation in waterfowl availability was best explained by the interaction of vegetation cover type, sky condition, survey altitude, and individual bird characteristics of species and sex, with more complex and taller vegetation cover types reducing availability by up to 70 percent at higher survey altitudes. The probability of the algorithm correctly detecting available birds showed no pattern within vegetation cover type, survey altitude, or sky condition, with the algorithm correctly detecting 85 percent of available birds. The probability of the algorithm generating incorrect false-positive detections was best explained by vegetation cover types with features similar in size and shape to the birds, especially lotus (<i>Nelumbo lutea</i>), with up to 58 percent of detections being false-positive detections in lotus cover types. Overall, the algorithm achieved counts an average of 6.70 percent greater than the human labeled counts, and upon applying correction factors using a modified Horvitz-Thompson estimator, the corrected estimates were an average of 5.59 percent lower than the human labeled counts. Our results indicate that vegetation cover type, sky condition, and survey altitude influence the availability and detection of waterfowl in UAS surveys; however, using well-trained machine learning algorithms may produce accurate counts per image under a variety of survey conditions.
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Verheijen, B.H.F., E.B. Webb, M.G. Brasher and H.M. Hagy. 2024. Spatiotemporal dynamics of waterfowl harvest distributions in the Central and Mississippi Flyways from 1960–2019. The Journal of Wildlife Management
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February 2024
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Verheijen, B.H.F., E.B. Webb, M.G. Brasher and H.M. Hagy. 2024. Long-term changes in autumn-winter harvest distributions vary among duck species, months, and subpopulations. Ecology and Evolution
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June 2024
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Toby, P. N. Tsang, A. A. Amado De Santis, Gabriela Armas-Quiñonez, Eva Samanta Ávila-Gómez, John S. Ascher, András Báldi, Kimberly Ballare, Mario V. Balzan, Weronika Banaszak-Cibicka, Svenja Bänsch, Yves Basset, Adam Bates, Jessica Baumann, Mariana Beal-Neves, Ashley Bennett, Kristen Birdshire, Betina Blochtein, Riccardo Bommarco, Berry Brosi, Laura A. Burkle, Vergara Carlos, Luísa G. Carvalheiro, Ignacio Castellanos, Marcela Cely-Santos, Hamutahl Cohen, Drissa Coulibaly, Saul A. Cunningham, Sarah Cusser, Isabelle Dajoz, Davi de Lacerda Ramos, Deborah A. Delaney, Ek Del-Val, Monika Egerer, Markus P. Eichhorn, Eunice Enríquez, Martin H. Entling, Natalia Escobedo-Kenefic, Pedro Maria Abreu Ferreira, Gordon Fitch, Jessica R. K. Forrest, Valérie Fournier, Robert Fowler, Breno M. Freitas, Hannah R. Gaines-Day, Benoît Geslin, Jaboury Ghazoul, Paul Glaum, Adrian González-Chaves, Heather Grab, Claudio Gratton, Solène Guenat, Catalina Gutiérrez-Chacón, Mark A. Hall, Mick E. Hanley, Annika Hass, Ernest Ireneusz Hennig, Martin Hermy, Juliana Hipólito, Andrea Holzschuh, Sebastian Hopfenmüller, Keng-Lou James Hung, Kristoffer Hylander, Mary A. Jamieson, Birgit Jauker, Steve Javorek, Shalene Jha, Björn Klatt, David Kleijn, Alexandra-Maria Klein, Anikó Kovács-Hostyánszki, Jochen Krauss, Michael Kuhlmann, Patricia Landaverde-González, Andrew Landsman, Tanya Latty, Misha Leong, Susannah B. Lerman, Yunhui Liu, Ana Carolina Pereira Machado, Anson Main, Rachel Mallinger, Yael Mandelik, Bruno Ferreira Marques, Kevin Matteson, Frédéric McCune, Ling-Zeng Meng, Jean Paul Metzger, Paula María Montoya-Pfeiffer, Carolina Morales, Lora Morandin, Jane Morrison, Sonja Mudri-Stojnić, Pakorn Nalinrachatakan, Olivia Norfolk, Mark Otieno, Stacy M. Philpott, Montserrat Plascencia, Simon Potts, Ellen F. Power, Kit Prendergast, Robyn Quistberg, André Rodrigo Rech, Victoria Reynolds, Miriam Richards, Stuart P. M. Roberts, Malena Sabatino, Ulrika Samnegård, Karina Sánchez-Echeverría, Hillary Sardinas, Fernanda Teixeira Saturni, Jeroen Scheper, Amber R. Sciligo, C. Sheena Sidhu, Brian J. Spiesman, Tuanjit Sritongchuay, Ingolf Steffan-Dewenter, Katharina Stein, Alyssa B. Stewart, Jane C. Stout, Hisatomo Taki, Pornpimon Tangtorwongsakul, Caragh G. Threlfall, Carla Tinoco, Teja Tscharntke, Katherine J. Turo, Chatura Vaidya, Rémy Vandame, Blandina F. Vianaa, Eric Vides-Borrell, Natapot Warrit, Elisabeth Webb, Catrin Westphal, Jennifer Wickens, Neal M. Williams, Nicholas Williams, Caleb J. Wilson, Panlong Wu, Elsa Youngsteadt, Yi Zou, Lauren C. Ponisio, Timothy C. Bonebrake. In review. Land use change reduces the taxonomic and phylogenetic diversity of bees. Global Change Biology
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Abstract
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January 2025
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Land use change threatens global biodiversity and compromises ecosystem functions, including pollination and food production. However, we have a limited understanding of how land use affects diversity metrics other than taxonomic α-diversity, including phylogenetic α-diversity and different β-diversity metrics, even though all these metrics represent unique aspects of biodiversity and contribute to ecosystem function. Furthermore, different diversity facets are not necessarily consistent in their responses to environmental changes. Here we analyzed how land use affects facets of diversity in bees, an important taxon of pollinators. Using a dataset of ~3,000 bee assemblages from 150 studies, we found that taxonomic α-diversity was reduced by 19% and 18% in agricultural and urban habitats, respectively. Phylogenetic α-diversity was decreased by 14% and 11%, respectively. Furthermore, in agricultural habitats, taxonomic and phylogenetic turnover between communities was reduced by 19% and 30% relative to natural habitats. We also detected a strong correlation between all phylogenetic and taxonomic diversity metrics, and effects of land use change were minimal once controlling for taxonomic diversity within sites. Our results demonstrate that phylogenetic diversity is sensitive to declines in their taxonomic counterparts driven by land use change. Lower taxonomic and phylogenetic turnover in agricultural habitats also suggests that large-scale species and evolutionary history loss should be higher than α-diversity estimates otherwise indicate, highlighting the threat of agricultural expansion to bee diversity globally through biotic homogenization.
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Szaro, R.C. and B.K. Williams. 2008. Climate change: Environmental effects and management adaptations. In: Fenech, A., D. MacIver, and F. Dallmeier (eds.). Climate Change and Biodiversity in the Americas. Environment Canada, Toronto, Ontario.
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February 2008
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Stolarski, J. T, F. J. Margraf, J. G. Carlson, and T. M. Sutton. Lipid and moisture content modeling of amphidromous Dolly Varden Char using bioelectrical impedance analysis. North American Journal of Fisheries Management. 34:471-481.
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April 2014
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Snyder, S., C.S. Loftin, and A.S. Reeve. 2023. Predicting the presence of Groundwater Influenced Ecosystems in the northeastern United States with ensembled correlative distribution models. Water. 15, 4035. https://doi.org/10.3390/w15234035
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November 2023
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Snyder, S., C.S. Loftin, A.S. Reeve. Vulnerability assessment of groundwater influenced ecosystems in the Northeastern United States. Water, 2024, 16, 1366. https://doi.org/10.3390/w16101366
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May 2024
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Rolek, B.W., D.J. Harrison, D.W. Linden, C.S. Loftin, P.B. Wood. 2021. Habitat associations of breeding conifer-associated birds in managed and regenerating forested stands. Forest Ecology and Management.
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October 2021
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Rogosch, J.S., H.I.A. Boehm, R.W. Tingley, K.D. Wright, E.B. Webb, C.P. Paukert. 2024. Evaluating effectiveness of restoration to address current stressors to riverine fish. Freshwater Biology, 69, 607-622. https://doi.org/10.1111/fwb.14232
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Abstract
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May 2024
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1. River restoration programmes with the goal of conserving and rehabilitating inland fishes have a multi-decadal history, but evaluation and synthesis of past restora-tion actions have been limited by a lack of monitoring and reporting. Given that calls for both monitoring and systematic reviews of restoration have increased, we were interested in the influence that restoration has had on improving condi-tions for riverine fishes resulting from long-standing and increasingly prominent stressors. Our objectives were to (1) identify which stressors were targeted in river restoration efforts, (2) determine the proportion of published studies that articulate restoration goals and develop comparative monitoring designs for as-sessing the effects of restoration on fishes, and (3) conduct a meta-analysis to synthesise fish responses to restoration projects.<br>2. We assessed restoration effectiveness for increasing fish density and richness from peer- reviewed papers published over the past decade using a global system-atic review and meta-analysis.<br>3. We found that restoration actions addressed major stressors primarily by improv-ing in- stream habitat (37%), increasing in-stream longitudinal connectivity (26%) and increasing lateral floodplain connections (9%). Although 81% of studies had comparative monitoring designs (i.e., before/after and control/impact) and stated restoration goals, only 40% of those studies reported sufficient data to be in-cluded in the meta-analysis. Projects which increased in-stream connectivity had the largest positive effect size on fish density and richness compared to in-stream habitat improvements and increasing floodplain connections. Time since restora-tion and restoration size (i.e., geographical footprint) were not strong predictors of fish response effect sizes.<br>4. Restoration effectiveness was highly variable among project types. Authors of studies included in the meta-analysis often identified spatial or temporal scale of monitoring, overriding catchment conditions, and recolonisation potential as sources of variability and effectiveness in restoration outcomes. Systematic re-porting of these and other covariates may help guide processes in restoration evaluation and provide valuable research insights. Despite increased emphasis on monitoring, incomplete data reporting limited the number of studies that could be included for quantitative meta-analysis. Persistent emphasis on setting specific criteria (e.g., measurable outcomes of fish response) for restoration goals, project monitoring, data reporting, information sharing and collaborative projects is likely to continue to improve understanding of restoration effectiveness transferable to future endeavours.<br>5. Our results can be used to support river restoration practitioners with evidence- based information to evaluate the cost–benefit ratio of competing restoration priorities, and inform restoration planning and implementation for riverine fish.
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Rayl, N.D., T.K. Fuller, J.F. Organ, J.E. McDonald, Jr., R.D. Otto, G. Bastille-Rousseau, C.E. Soulliere and S.P. Mahoney. 2015. Spatiotemporal variation in the distribution of potential predators of a resource pulse: black bears and caribou calves in Newfoundland. Journal of Wildlife Management 79(7): 1041-1050.
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August 2015
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Powell, L.A., A.J. Tyre, M.J. Conroy, J.T. Peterson, and B.K. Williams. 2011 Integrating
adaptive management into wildlife curricula. The Wildlife Professional 5(2): 74-76.
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April 2011
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Oyler-McCance, S.J., Ryan, M.J., Sullivan, B.K. et al. Genetic connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern United States. Conserv Genet (2024). https://doi.org/10.1007/s10592-024-01606-w
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Abstract
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Publisher Website
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March 2024
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The Arizona Toad (Anaxyrus microscaphus) is restricted to riverine corridors and adjacent uplands in the arid southwesternUnited States. As with numerous amphibians worldwide, populations are declining and face various known or suspectedthreats, from disease to habitat modification resulting from climate change. The Arizona Toad has been petitioned to belisted under the U.S. Endangered Species Act and was considered “warranted but precluded” citing the need for additionalinformation – particularly regarding natural history (e.g., connectivity and dispersal ability). The objectives of this studywere to characterize population structure and genetic diversity across the species’ range. We used reduced-representationgenomic sequencing to genotype 3,601 single nucleotide polymorphisms in 99 Arizona Toads from ten drainages across itsrange. Multiple analytical methods revealed two distinct genetic groups bisected by the Colorado River; one in the northwesternportion of the range in southwestern Utah and eastern Nevada and the other in the southeastern portion of the range incentral and eastern Arizona and New Mexico. We also found subtle substructure within both groups, particularly in centralArizona where toads at lower elevations were less connected than those at higher elevations. The northern and southernparts of the Arizona Toad range are not well connected genetically and could be managed as separate units. Further, thesedata could be used to identify source populations for assisted migration or translocations to support small or potentiallydeclining populations.
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Organ, John F., and R.E. McCabe. 2018. History of state wildlife management and conservation. Chapter 1, pages 1 - 23 in T.J. Ryder, editor, State Wildlife management and Conservation. Johns Hopkins University Press, Baltimore, Maryland, USA. LCCN 2017017327
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February 2018
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Organ, J.F., T.A. Decker, and T.M. Lama. 2016. The North American model and captive cervid facilities-what is the threat? Wildlife Society Bulletin 40(1):10-13
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March 2016
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Organ, J.F. The North American model of wildlife conservation and wild turkey management: the future. Pages 19-23 in D.E. Miller, editor, Proceedings of the eleventh national wild turkey symposium. Allen Press, Lawrence, Kansas, USA.
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Abstract
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December 2015
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Seven principles comprise the concept known as the North American Model of Wildlife Conservation. Each of these principles has been employed for restoring and managing wild turkeys (Meleagris gallopavo). Today, we enjoy abundant populations and hunting opportunities, but potential threats could erode these in the future. These include trends towards commercialization and privatization, reduced land access for hunting, erosion of science, public antipathy towards hunting, and reduction of forest habitat quality due to limitations on forest management practices. Herein, I discuss each of these elements and challenges of maintaining relevance of the North American Model to wild turkey management.
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Organ, J.F. 2018. The North American model of wildlife conservation and the public trust doctrine. Chapter 13, pages 125 – 135 in B.D. Leopold, W.B. Kessler, and J.L. Cummins, eds., North American Wildlife Policy and Law. Boone and Crockett Club, Missoula, Montana, USA. DOI 10: 111234
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August 2018
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Organ, J.F. 2018. Federal aid in wildlife and fisheries conservation. Chapter 16, pages 163-175 in B.D. Leopold, W.B. Kessler, and J.L. Cummins, eds., North American Wildlife Policy and Law. Boone and Crockett Club, Missoula, Montana, USA. DOI: 10: 198765
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August 2018
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Organ, J.F. 2016. Book Review: Inside the Equal Access to Justice Act: Environmental Litigation and the Crippling Battle over America's Lands, Endangered Species, and Critical Habitats. Journal of Wildlife Management 80: early view
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June 2016
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Nichols, J.D., M.D. Koneff, P.J. Heglund, M.G. Knutson, M.E. Seamans, J.E. Lyons, J.M. Morton, M.T. Jones, G.S. Boomer, and B.K. Williams. 2011. Climate change, uncertainty, and natural resource management. Journal of Wildlife Management 75:6-18.
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Abstract
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January 2011
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Climate change and its associated uncertainties are of concern to natural resource managers. Although aspects of climate change may be novel (e.g., system change and nonstationarity), natural resource managers have long dealt with uncertainties and have developed corresponding approaches to decision-making. Adaptive resource management is an application of structured decision-making for recurrent decision problems with uncertainty, focusing on management objectives, and the reduction of uncertainty over time. We identified 4 types of uncertainty that characterize problems in natural resource management. We examined ways in which climate change is expected to exacerbate these uncertainties, as well as potential approaches to dealing with them. As a case study, we examined North American waterfowl harvest management and considered problems anticipated to result from climate change and potential solutions. Despite challenges expected to accompany the use of adaptive resource management to address problems associated with climate change, we conclude that adaptive resource management approaches will be the methods of choice for managers trying to deal with the uncertainties of climate change. (C) 2011 The Wildlife Society.Climate change and its associated uncertainties are of concern to natural resource managers. Although aspects of climate change may be novel (e.g., system change and nonstationarity), natural resource managers have long dealt with uncertainties and have developed corresponding approaches to decision-making. Adaptive resource management is an application of structured decision-making for recurrent decision problems with uncertainty, focusing on management objectives, and the reduction of uncertainty over time. We identified 4 types of uncertainty that characterize problems in natural resource management. We examined ways in which climate change is expected to exacerbate these uncertainties, as well as potential approaches to dealing with them. As a case study, we examined North American waterfowl harvest management and considered problems anticipated to result from climate change and potential solutions. Despite challenges expected to accompany the use of adaptive resource management to address problems associated with climate change, we conclude that adaptive resource management approaches will be the methods of choice for managers trying to deal with the uncertainties of climate change. (C) 2011 The Wildlife Society.
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Nichols, J.D., M.C. Runge, F.A. Johnson, and B.K. Williams. 2007. Adaptive harvest management of North American waterfowl populations: A brief history and future prospects. Journal of Ornithology 148:S343-S349.
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Abstract
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December 2007
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Since 1995, the US Fish and Wildlife Service has used an adaptive approach to the management of sport harvest of mid-continent Mallard ducks (Anas platyrhynchos) in North America. This approach differs from many current approaches to conservation and management in requiring close collaboration between managers and scientists. Key elements of this process are objectives, alternative management actions, models permitting prediction of system responses, and a monitoring program. The iterative process produces optimal management decisions and leads to reduction in uncertainty about response of populations to management. This general approach to management has a number of desirable features and is recommended for use in many other programs of management and conservation.Since 1995, the US Fish and Wildlife Service has used an adaptive approach to the management of sport harvest of mid-continent Mallard ducks (Anas platyrhynchos) in North America. This approach differs from many current approaches to conservation and management in requiring close collaboration between managers and scientists. Key elements of this process are objectives, alternative management actions, models permitting prediction of system responses, and a monitoring program. The iterative process produces optimal management decisions and leads to reduction in uncertainty about response of populations to management. This general approach to management has a number of desirable features and is recommended for use in many other programs of management and conservation.
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Nichols, J.D. and B.K. Williams. 2006. Monitoring for conservation. Trends in Ecology and Evolution 21:668-673.
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Abstract
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December 2006
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Human-mediated environmental changes have resulted in appropriate concern for the conservation of ecological systems and have led to the development of many ecological monitoring programs worldwide. Many programs that are identified with the purpose of 'surveillance' represent an inefficient use of conservation funds and effort. Here, we revisit the 1964 paper by Platt and argue that his recommendations about the conduct of science are equally relevant to the conduct of ecological monitoring programs. In particular, we argue that monitoring should not be viewed as a stand-alone activity, but instead as a component of a larger process of either conservation-oriented science or management. Corresponding changes in monitoring focus and design would lead to substantial increases in the efficiency and usefulness of monitoring results in conservation.Human-mediated environmental changes have resulted in appropriate concern for the conservation of ecological systems and have led to the development of many ecological monitoring programs worldwide. Many programs that are identified with the purpose of 'surveillance' represent an inefficient use of conservation funds and effort. Here, we revisit the 1964 paper by Platt and argue that his recommendations about the conduct of science are equally relevant to the conduct of ecological monitoring programs. In particular, we argue that monitoring should not be viewed as a stand-alone activity, but instead as a component of a larger process of either conservation-oriented science or management. Corresponding changes in monitoring focus and design would lead to substantial increases in the efficiency and usefulness of monitoring results in conservation.
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Nichols, J. D., M. C. Runge, et al. 2006. Adaptive Harvest Management of North American Waterfowl Populations - Recent Successes and Future Prospects. Journal of Ornithology 147(5): 28-28.
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August 2006
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Nestler, J. M., R. A. Goodwin, T. M. Cole, D. Degan, and D. Dennerline. 2002. Simulating movement patterns of blueback herring in a stratified southern impoundment. Transactions of the American Fisheries Society 131:55-69.
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January 2002
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Nathaniel D. Rayl, Guillaume Bastille-Rousseau, John F. Organ, Matthew A. Mumma, Shane P. Mahoney, Colleen E. Soulliere, Keith P. Lewis, Robert D. Otto, Dennis L. Murray, Lisette P. Waits, and Todd K. Fuller. 2018. Spatiotemporal heterogeneity in prey abundance and vulnerability shapes the foraging tactics of an omnivore. Journal of Animal Ecology. DOI: 10.1111/1365-2656.12810
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Abstract
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March 2018
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Prey abundance and prey vulnerability vary across space and time, but we know little
about how they mediate predator-prey interactions and predator foraging tactics. To
evaluate the interplay between prey abundance, prey vulnerability, and predator space
use, we examined patterns of black bear (Ursus americanus) predation of caribou
(Rangifer tarandus) neonates in Newfoundland, Canada using data from 317 collared
individuals (9 bears, 34 adult female caribou, 274 caribou calves).
During the caribou calving season, we predicted that landscape features would influence
calf vulnerability to bear predation, and that bears would actively hunt calves by selecting
areas associated with increased calf vulnerability. Further, we hypothesized that bears would dynamically adjust their foraging tactics in response to spatiotemporal changes in
calf abundance and vulnerability (collectively, calf availability). Accordingly, we
expected bears to actively hunt calves when they were most abundant and vulnerable, but
switch to foraging on other resources as calf availability declined.
As predicted, landscape heterogeneity influenced risk of mortality, and bears displayed
the strongest selection for areas where they were most likely to kill calves, which
suggested they were actively hunting caribou. Initially, the per-capita rate at which bears
killed calves followed a type-I functional response, but as the calving season progressed
and calf vulnerability declined, kill rates dissociated from calf abundance. In support of
our hypothesis, bears adjusted their foraging tactics when they were less efficient at
catching calves, highlighting the influence that predation phenology may have on
predator space use. Contrary to our expectations, however, bears appeared to continue to hunt caribou as calf availability declined, but switched from a tactic of selecting areas of increased calf vulnerability to a tactic that maximized encounter rates with calves.
Our results reveal that generalist predators can dynamically adjust their foraging tactics
over short time scales in response to changing prey abundance and vulnerability. Further,
they demonstrate the utility of integrating temporal dynamics of prey availability into
investigations of predator-prey interactions, and move towards a mechanistic understanding of the dynamic foraging tactics of a large omnivore.
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Mumma, M.A., J.D. Holbrook, N.D. Rayl, C.J. Zieminski, T.K. Fuller, J.F. Organ, S.P. Mahoney, and L.P. Waits. 2017. Examining spatial patterns of selection and use for an altered predator guild. Oecologia DOI 10.1007/s00442-017-3971-8
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Abstract
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October 2017
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Anthropogenic disturbances have altered species’
distributions potentially impacting interspecific interactions.
Interference competition is when one species denies
a competing species access to a resource. One mechanism of
interference competition is aggression, which can result in
altered space-use of a subordinate species due to the threat
of harm, otherwise known as a ‘landscape of fear’. Alternatively,
subordinates might outcompete dominant species in
resource-poor environments via a superior ability to extract
resources. Our goal was to evaluate spatial predictions of
the ‘landscape of fear’ hypothesis for a carnivore guild in Newfoundland, Canada, where coyotes recently immigrated.
Native Newfoundland carnivores include red foxes, Canada
lynx, and black bears. We predicted foxes and lynx would
avoid coyotes because of their larger size and similar dietary
niches. We used scat-detecting dogs and genetic techniques
to locate and identify predator scats. We then built resource
selection functions and tested for avoidance by incorporating
predicted values of selection for the alternative species into
the best supported models of each species. We found multiple
negative relationships, but notably did not find avoidance
by foxes of areas selected by coyotes. While we did
find that lynx avoided coyotes, we also found a reciprocal
relationship. The observed patterns suggest spatial partitioning
and not coyote avoidance, although avoidance could
still be occurring at different spatial or temporal scales.
Furthermore, Newfoundland’s harsh climate and poor soils
may swing the pendulum of interspecific interactions from
interference competition to exploitative competition, where
subordinates outcompete dominant competitors through a
superior ability to extract resources.
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McGowan CP, Price Tack JL, Silvano A, Grand JB, In Review, Models for managing harvests to maintain deer and hunter populations, Review initiated, intended outlet, WIldlife Society Bulletin
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September 2023
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Mason, J.R., L. Carpenter, M. Cox, J. Devos, J. Fairchild, D. Freddy, J.R. Heffelfinger, R. Kahn, S, McCorquodale, D. Pac, D. Summers, G.C. White, and B.K. Williams. 2006. The case for ungulate survey analysis and data management. Wildlife Society Bulletin 34(4):1238-1242.
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November 2006
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La Peyre MK, Sable S, Marshall DA, Irwin E, Hanson C. 2024. The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling:The northern Gulf of Mexico eastern oyster (Crassostrea virginica) example. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science. 204;16:e10297 https://doi.org/10.1002/mcf2.10297.
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Abstract
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May 2024
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Managing fisheries species of conservation, production and habitat value remains challenging. Increasing reliance on numerical simulation models to help inform management and restoration choices benefits from careful consideration of critical early steps in model development. These early steps include identification of priority management questions, consideration of the key physiological responses and vital rates and primary driving variables, acknowledgment of uncertainty, and focused investment in basic research to reduce uncertainty. Along the northern coast of the Gulf of Mexico, the eastern oyster, <i>Crassostrea virginica</i>, fulfills important ecological and economic roles. Using the eastern oyster as an example, we draw on several recent frameworks outlining best practices for model development and application for fisheries restoration, conservation and management to identify priority model questions, outline a conceptual ecological model (CEM) to guide numerical model development and use this framework to identify uncertainties and research needs. The CEM uses a nested design identifying explicit vital rates, processes, attributes and outcomes at the level of the individual oyster, the reef (population) and at a metapopulation level (a network of reef populations) in response to drivers and changing environmental factors. Most management actions related to reef restoration and harvest impact reef (population) attributes, but drivers (i.e., climate change, coastal and water resource engineering) impact environmental factors that alter vital rates and attributes of individual oysters, populations and metapopulations. Investment in studies targeting individual oyster and population (reef) level multi-stressor responses (filtration, respiration, growth, reproduction), and improving hydrodynamic and environmental models targeting drivers influencing metapopulation vital rates and attributes (i.e., connectivity, substrate persistence) would contribute to reducing critical uncertainties. Development of numerical models covering the entire oyster life cycle and connectivity of populations (reefs) using hydrodynamic models of current and predicted conditions to provide key abiotic and biotic factors influencing larval movement, recruitment, and on-reef oyster vital rates, would assist in balancing goals of conservation and production management of this foundational estuarine species.
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Julien Martin, Matthew S. Richardson, Davina L. Passeri, Nicholas M. Enwright, Simeon Yurek, James G. Flocks, Mitch J. Eaton, Sara L. Zeigler, Hadi Charkhgard, Bradley J. Udell, Elise R. Irwin. Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems. Ecology and Society.
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April 2023
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Johnson, F.A., and B.K. Williams. 1999. Protocol and practice in the adaptive management of waterfowl harvests. Conservation Ecology 3(1): 8. [online] URL: http://www.consecol.org/vol3/iss1/art8/
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June 1999
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Johnson, F., and K. Williams. 1999. Protocol and practice in the adaptive management of waterfowl harvests. Conservation Ecology. 3(1):8. [online] URL: http://www. consecol. org/vol3/iss1/art8
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January 2000
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Jennings, C. A., M. Allen, C. Belcher, R. Bringolf, D. Dennerline, T. Goar, K. Kuklinski, J. Long, P. Mazik, D. Riecke, and M. Rogers. Congratulations on Your Promotion to Management: Considerations for New Supervisory Biologists. 2020. Journal of the Southeastern Association of Fish and Wildlife Agencies 7:103-113.
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Abstract
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Publisher Website
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March 2020
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During the past decade, many senior leaders in natural resource management organizations retired and new leaders were recruited to replace them. The new supervisory biologists now find themselves tasked with operational responsibilities (e.g., personnel, budgets, procurement, safety) with limited formal training in those areas. This sudden role change can be jolting, but need not be debilitating. Here we present information and guidance on various topics ranging from recruiting new personnel and conducting performance evaluations to maintaining a sound safety program as well as legal considerations regarding personal and institutional liabilities for job-related issues. Often, your first task as the new supervisor is to oversee a recruitment effort to fill your old position. This first task is best accomplished by working closely with the designated human resources staff to meet all administrative requirements and deadlines. After the successful hire, effective team leadership is achieved by learning how each staff member is motivated, what they are best able to contribute to the team, and areas for which they may need support. As a new supervisor, you are now responsible for promoting your agency’s safety program to mitigate potential job-related hazards. Despite institutional safeguards, accidents happen or interpersonal interactions can go poorly, and the aggrieved party may litigate for due compensation or to punish the perceived wrongdoer. As a supervisor, you may be a party to these litigations, and understanding your responsibilities in these situations is important for keeping you, your supervisees, and your institution safe and free of liability and help to hold any responsible party accountable when accidents, harassment, bias, or bullying occur. We hope the information provided here will facilitate a smooth transition from mid-career biologist to a supervisory biologist who can efficiently carryout their agency’s mission in natural resource stewardship.<br>
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Jayasekera, D. H., R. T. Melstrom, and K. L. Pope. 2024. Economic losses to inland recreational fisheries from harmful algal blooms. Journal of Environmental Management 372:123238.
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Download
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November 2024
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Irwin, E, R. Ramesh and A. Alam 2022. Oyster restoration: acknowledgement of uncertainty and lessons learned for future decision-making. U.S. Department of Interior, Fish and Wildlife Service, Cooperator Science Series FWS/CSS-XXX-2022, Washington, D.C.
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March 2022
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Hossack, Blake R., Oja, Emily B., Owens, Audrey K., Hall, David, Cobos, Cassidi, Crawford, Catherine L., Goldberg, Caren S., et al. 2023. “ Empirical Evidence for Effects of Invasive American Bullfrogs on Occurrence of Native Amphibians and Emerging Pathogens.” Ecological Applications 33(2): e2785. https://doi.org/10.1002/eap.2785
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Abstract
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Publisher Website
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December 2022
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Invasive species and emerging infectious diseases are two of the greatest threats to biodiversity. American Bullfrogs (Rana [Lithobates] catesbeiana),which have been introduced to many parts of the world, are often linked with declines in native amphibians via predation and the spread of emerging pathogens such as amphibian chytrid fungus (Batrachochytrium dendrobatidis [Bd])and rana viruses. Although many studies have investigated the potential role of bullfrogs in the decline of native amphibians, analyses that account for shared habitat affinities and imperfect detection have found limited support for clear effects. Similarly, the role of bullfrogs in shaping the patch-level distribution of pathogens is unclear. We used eDNA methods to sample 233 sites in the southwestern USA and Sonora, Mexico (2016–2018) to estimate how the presence of bullfrogs affects the occurrence of four native amphibians, Bd, and rana viruses. Based on two-species, dominant-subordinate occupancy models fitted in a Bayesian context, federally threatened Chiricahua Leopard Frogs (Rana chiricahuensis) and Western Tiger Salamanders (Ambystoma mavortium) were eight times (32% vs. 4%) and two times (36% vs. 18%), respectively, less likely to occur at sites where bullfrogs occurred. Evidence for the negative effects of bullfrogs on Lowland Leopard Frogs (Rana yavapaiensis)and Northern Leopard Frogs (Rana pipiens) was less clear, possibly because of smaller numbers of sites where these native species still occurred and because bullfrogs often occur at lower densities in streams, the primary habitat for Lowland Leopard Frogs. At the community level, Bd was most likely to occur where bullfrogs co-occurred with native amphibians, which could increase the risk to native species. Rana viruses were estimated to occur at 33% of bullfrog only sites, 10% of sites where bullfrogs and native amphibians co-occurred, and only 3% of sites where only native amphibians occurred. Of the 85 sites where we did not detect any of the five target amphibian species, we also did not detect Bd or rana viruses; this suggests other hosts do not drive the distribution of these pathogens in our study area. Our results provide landscape-scale evidence that bullfrogs reduce the occurrence of native amphibians and increase the occurrence of pathogens, information that can clarify risks and aid the prioritization of conservation actions.
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Hossack, B. R., Hall, D., Crawford, C. L., Goldberg, C. S., Muths, E., Sigafus, B. H., & Chambert, T. (2023). Successful eradication of invasive American bullfrogs leads to coextirpation of emerging pathogens. Conservation Letters, 00, e12970. https://doi.org/10.1111/conl.12970
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Abstract
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Download
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Publisher Website
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July 2023
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Interventions of the host–pathogen dynamics provide strong tests of relationships, yet they are still rarely applied across multiple populations. After American bullfrogs (Rana catesbeiana) invaded a wildlife refuge where federally threatened Chiricahua leopard frogs (R. chiricahuensis) were reintroduced12 years prior, managers launched a landscape-scale eradication effort to help ensure continued recovery of the native species. We used a before-after-control impact design and environmental DNA sampling of 19 eradication sites and 18control sites between fall 2016 and winter 2020–2021 to measure community-level responses to bullfrog eradication, including for two pathogens. Dynamic occupancy models revealed successful eradication from 94% of treatment sites. Native amphibians did not respond to bullfrog eradication, but the pathogens amphibian chytrid fungus (Batrachochytrium dendrobatidis) and rana viruses were coextirpated with bullfrogs. Our spatially replicated experimental approach provides strong evidence that management of invasive species can simultaneously reduce predation and disease risk for imperiled species.
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Horne, L., DeVries, D, Wright, R, Irwin, E, Staton, B, Abdelrahman, H, Stoeckel, J. 2022. Effects of increasing temperature on the potential metabolic activity of seven Alabama fishes. Submitted to: Experimental Zoology-A.
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October 2022
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Hightower, J.E., W.J. Fleming and M.A. Hayman. 1999. Effects of contaminated sediments on brown bullhead condition, growth, and mortality in a North Carolina tidal creek. Proc. Catfish 2000 Symposia.
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January 1999
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Goguen, A.D., S.J. Riley, J.F. Organ, and B.A. Rudolph. 2017. Wild-harvested venison yields and sharing by Michigan deer hunters. Human Dimensions of Wildlife DOI: 10.1080/10871209.2017.1409372
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Abstract
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Download
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Publisher Website
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December 2017
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An increased societal focus on wildlife as food and recent policy
deliberations regarding legal markets for wild-harvested meat are
encouraging wildlife managers and researchers to examine the
amount, use, and distribution of meat yielded through recreational
hunting. We used responses to questions on the Michigan Deer
Harvest Study to estimate the maximum yield of edible venison
and assess hunters’ sharing behaviors. We estimated 11,402–14,473
metric tons of edible venison were procured during the 2013 hunting
season. Of hunters who harvested a deer, 85% shared their venison.
Hunters who shared did so with an average of 5.6 people (SD = 4.5).
Sharing occurred most frequently within tight social networks: members
of hunters’ households (69%), relatives (52%), and friends, neighbors,
or coworkers (50%). In the absence of legal markets, venison is
distributed widely by hunters and greatly amplifies the number of
people benefiting from hunting. Nonetheless, we also identified the
potential breadth of exposure to disease or contaminants from wildharvested
meat.
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Freeman, MC, KR Bestgen, D Carlisle, EA Frimpong, NR Franssen, KB Gido, ER Irwin, Y Kanno, C Luce, SK McKay, MC Mims, JD Olden, NL Poff, DL Propst, L Rack, AH Roy, E Stowe, A Walters, and SJ Wenger. 2022. Towards improved understanding of streamflow effects on freshwater fishes. Fisheries 47:290-298. https://doi.org/10.1002/fsh.10731
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Publisher Website
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March 2022
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Fogelman, Kaelyn, Archambault, Jennifer, Irwin, Elise, Maureen Walsh, Brewer, Shannon, and Stoeckel, James A. 2023. A review of lethal thermal tolerance among freshwater mussels (Bivalvia: Unionida) within the North American faunal region. Environmental Reviews https://doi.org/10.1139/er-2022-0077
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January 2023
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Flammang, M. K., D. E. Shoup, P. H. Michaletz, and K. L. Pope. 2024. Warmwater fish in small standing waters. Pages 23-43 in S. A. Bonar, N. Mercado-Silva, and K. L. Pope, editors. Standard methods for sampling North American freshwater fishes, 2nd edition. American Fisheries Society, Bethesda, Maryland.
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September 2024
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FWS.gov. (2024). Trends in colony sizes for five colonial waterbird species in the Atlantic flyway. [online] Available at: https://www.fws.gov/media/trends-colony-sizes-five-colonial-waterbird-species-atlantic-flyway
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February 2024
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Duda, M.D., T. Beppler, and J.Organ. 2017. The growth of sport shooting participation: what does this mean for conservation revenue? The Wildlife Professional 11(2): 38-41.
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March 2017
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Du Clos, B., F.A. Drummond, and C.S. Loftin. Effects of an early mass‑flowering crop on wild bee communities and traits in power line corridors vary with blooming plants and landscape context. Landscape Ecology; https://doi.org/10.1007/s10980-022-01495-9
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August 2022
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Diefenbach, D. R., J. Trowbridge, A. Van Buskirk, T. McConnell, K. Lamp, T. A. Marques, W. D. Walter, B. D. Wallingford, and C. S. Rosenberry. 2025. Accounting for non-random samples with distance sampling to estimate population density. Journal of Applied Ecology.DOI: 10.1111/1365-2664.70006
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February 2025
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Dennerline, D.E., C.A. Jennings, and D.J. Degan. 2012. Relationships between hydroacoustic derived density and gill net catch: Implications for Fish Assessments. Fisheries Research 123-124: 78-89.
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Abstract
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Publisher Website
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July 2012
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In this paper, we describe our assessment of whether gill nets and hydroacoustics provided similar inferences on the local abundance of fishes and whether gill net catch could be used to predict acoustic-derived abundances. We collected hydroacoustic and gill netting samples from a restricted area of large hydropower reservoir in the southeastern United States. We used mixed linear models in an information theoretic framework to model acoustic-derived abundances as a function of gill net catch and a variety of biological and environmental covariates. Overall, gill net catch was a poor predictor of acoustic-derived abundance and the best model only accounted for 39.6% of the within year variation. In fact, a gill net catch (e.g., 100 fish/net) was approximately equally likely across several orders of magnitude in fish abundance. This result suggests that gill net catch was unable to reliably discern substantive changes in fish abundance. Consequently, the most appropriate role for gill nets in fisheries research assessments may be to: (1) supplement hydroacoustic data by providing information on species composition and fish sizes and (2) provide information on metrics other than fish abundance, such as fish growth and condition.
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Dennerline, D. E., and M. J. Van Den Avyle. 2000. Sizes of prey consumed by two pelagic predators in US reservoirs: implications for quantifying biomass of available prey. Fisheries Research 45:147-154.
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Publisher Website
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March 2000
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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.
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July 2018
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Decker, D.J., J.F. Organ, A.B. Forstchen, C.A. Jacobson, W.F. Siemer, C.A. Smith, P.E. Lederle, and M.V. Schiavone. 2017. Wildlife governance in the 21st century - will sustainable use endure? Wildlife Society Bulletin 41:821-826. DOI10.1002/wsb.830
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Abstract
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December 2017
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In light of the trajectory of wildlife governance in the United States, the future of sustainable
use of wildlife is a topic of substantial interest in the wildlife conservation community. We examine
sustainable-use principles with respect to “good governance” considerations and public trust administration
principles to assess how sustainable use might fare in the 21st century. We conclude that sustainable-use
principles are compatible with recently articulated wildlife governance principles and could serve to mitigate
broad values and norm shifts in American society that affect social acceptability of particular uses. Wildlife
governance principles emphasize inclusive discourse among diverse wildlife interests, which could minimize
isolated exchanges among cliques of like-minded people pursuing their ambitions without seeking
opportunity for sharing or understanding diverse views. Aligning governance practices with wildlife
governance principles can help avoid such isolation. In summary, sustainable use of wildlife is likely to endure
as long as society 1) believes the long-termsustainability of wildlife is not jeopardized, and 2) accepts practices
associated with such use as legitimate. These are 2 criteria needing constant attention. 2017 The Wildlife
Society.
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Decker, D.J., A.B. Forstchen, E.F. Pomeranz, C.A. Smith, S.J. Riley, C.A. Jacobson, J.F. Organ, and G.R. Batcheller. 2015. Stakeholder engagement in wildlife management: does the public trust doctrine imply limits? J. Wildl. Manage. 79:174-179.
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February 2015
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Decker, D., C. Smith, A. Forstchen, D. Hare, E. Pomeranz, C. Doyle-Capitman, K. Schuler, and J. Organ. 2016. Governance principles for wildlife conservation in the 21st century. Conservation Letters. DOI: 10.1111/conl.12211
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Abstract
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January 2016
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Wildlife conservation is losing ground in the U.S. for many reasons. The net
effect is declines in species and habitat. To address this trend, the wildlife conservation
institution (i.e., all customs, practices, organizations and agencies,
policies, and laws with respect to wildlife) must adapt to contemporary social–
ecological conditions. Adaptation could be supported by clear guidelines reflecting
contemporary expectations for wildlife governance. We combine elements
of public trust thinking and good governance to produce a broad set of
wildlife governance principles. These principles represent guidance for ecologically
and socially responsible wildlife conservation. They address persistent, systemic
problems and, if adopted, will bring the institution into line with modern
expectations for governance of public natural resources. Implementation will
require changes in values, objectives, and processes of the wildlife conservation
institution. These changes may be difficult, but promise improved wildlife
conservation outcomes and increased support for conservation. We introduce
challenges and opportunities associated with the principles, and encourage dialogue
about them among scientists, practitioners, and other leaders in U.S.
wildlife conservation. The principles alone will not change the course of conservation
for the better, but may be necessary for such change to occur.
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Counihan, T.D., K.L. Bouska, S.K. Brewer, R. Jacobson, A.F. Casper, C.G. Colin, I.R. Waite, K. Sheehan, M. Pyron, E. Irwin, K. Riva-Murray, A. McKerrow, and J. Bayer. 2022. Identifying monitoring information needs that support the management of fish in large rivers. PLoS ONE 17(4): e0267113. https://doi.org/10.1371/journal.pone.0267113
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April 2022
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Buck, J.M. and B.K. Williams. 1999. Expenditures and opinions of Vermont residents participating in nonconsumptive wildlife-based recreation. Transactions, North American Wildlife and Natural Resources Conference 64:484-493.
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June 1999
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Buck, J. M., and B. K. Williams. 1999. Expenditures and opinions of vermont residents participating in nonconsumptive wildlife-based recreation. Trans. No. Amer. Wildl., and Natur. Resour. Conf. 64:484-493.
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January 2000
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Boxler, B.M., Loftin, C.S. and Sutton, W.B. (2024). Monarch Butterfly (Danaus plexippus) Roost Site-Selection Criteria and Locations East of the Appalachian Mountains, U.S.A. Journal of Insect Behavior, 37(1), pp.22–48. doi:https://doi.org/10.1007/s10905-023-09844-5.
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February 2024
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Boxler, B.M., Loftin, C.S. and Sutton, W.B. (2024). Monarch Butterfly (Danaus plexippus) Roost Site-Selection Criteria and Locations East of the Appalachian Mountains, U.S.A. Journal of Insect Behavior, 37(1), pp.22–48. doi:https://doi.org/10.1007/s10905-023-09844-5.
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February 2024
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Bissonette, J. A., C. S. Loftin, D. M. Leslie, Jr., L. A. Nordstrom, and W. J. Fleming. 2000. The cooperative research unit program and wildlife education: historic development, future challenges. Wildlife Society Bulletin 28:534-541.
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November 2000
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Berry, C.R., D.E. Dennerline and R. Rulifson. 2013. Safety: Skills, Attitudes, Facts, and Equipment. In: Zale, A., D. Parrish and T. Sutton (eds.). Fisheries Techniques, 3rd Edition. American Fisheries Society, Bethesda, MD.
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January 2013
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