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Michael C Runge

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There is growing evidence that headwater stream ecosystems are especially vulnerable to changing climate and land use, but managers are challenged by the need to address these threats at a landscape scale, often through coordination with multiple management agencies and landowners. This project sought to provide an example of cooperative landscape decision-making by addressing the conservation of headwater stream ecosystems in the face of climate change at the watershed scale. Predictive models were built for critical resources to examine the effects of the potential alternative actions on the objectives, taking account of climate effects and examining whether there are key uncertainties that impede decision making....
Abstract (from Biological Reviews): In response to global habitat loss, many governmental and non‐governmental organizations have implemented land acquisition programs to protect critical habitats permanently for priority species. The ability of these protected areas to meet future management objectives may be compromised if the effects of climate change are not considered in acquisition decisions. Unfortunately, the effects of climate change on ecological systems are complex and plagued by uncertainty, making it difficult for organizations to prioritize research needs to improve decision‐making. Herein, we demonstrate the use of qualitative value of information analysis to identify and prioritize which sources...
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Our ability to effectively manage wildlife in North America is founded in an understanding of how our actions and the environment influence wildlife populations. Current practices use population monitoring data from the past to determine key ecological relationships and make predictions about future population status. In most cases, including the regulation of waterfowl hunting in North America, these forecasts assume that the environmental conditions observed in the past will remain the same in the future. However, climate change is influencing wildlife populations in many dynamic and uncertain ways, leading to a situation in which our observations of the past are poor predictors of the future. If we continue to...
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Abstract (from The Journal of Wildlife Management): Wildlife populations are experiencing shifting dynamics due to climate and landscape change. Management policies that fail to account for non-stationary dynamics may fail to achieve management objectives. We establish a framework for understanding optimal strategies for managing a theoretical harvested population under non-stationarity. Building from harvest theory, we develop scenarios representing changes in population growth rate () or carrying capacity () and derive time-dependent optimal harvest policies using stochastic dynamic programming. We then evaluate the cost of falsely assuming stationarity by comparing the outcomes of forward projections in which...
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Executive Summary (from U.S. Geological Survey Circular 1472): The mission of the U.S. Geological Survey National Climate Adaptation Science Center is to provide actionable, management-relevant research on climate change effects on ecosystems and wildlife to U.S. Department of the Interior bureaus. Providing this kind of useful scientific information requires understanding how natural-resource managers make decisions and identifying research priorities that support those decision-making processes. Migratory bird management and conservation of migratory bird habitat are central components of the U.S. Department of the Interior’s mission. In particular, the U.S. Fish and Wildlife Service has an intensive, complex...
Categories: Publication; Types: Citation
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