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Envisioning the future of wildlife in a changing climate: Collaborative learning for adaptation planning

Authors

  • Olivia E. Ledee,

    Corresponding author
    1. Department of Forest and Wildlife Ecology, University of Wisconsin, 226 Russell Labs, 1630 Linden Drive, Madison, WI 53706, USA
    • Department of Forest and Wildlife Ecology, University of Wisconsin, 226 Russell Labs, 1630 Linden Drive, Madison, WI 53706, USA.
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  • William H. Karasov,

    1. Department of Forest and Wildlife Ecology, University of Wisconsin, 226 Russell Labs, 1630 Linden Drive, Madison, WI 53706, USA
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    • Authorship determined by alphabetical order of last names.

  • Karl J. Martin,

    1. Bureau of Science Services, Wisconsin Department of Natural Resources, 2801 Progress Road, Madison, WI 53716, USA
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  • Michael W. Meyer,

    1. Bureau of Science Services, Wisconsin Department of Natural Resources, 107 Sutliff Avenue, Rhinelander, WI 54501, USA
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  • Christine A. Ribic,

    1. United States Geological Survey, Wisconsin Cooperative Wildlife Research Unit, Department of Forest and Wildlife Ecology, University of Wisconsin, 226 Russell Labs, 1630 Linden Drive, Madison, WI 53706-1598, USA
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  • Timothy R. Van Deelen

    1. Department of Forest and Wildlife Ecology, University of Wisconsin, 226 Russell Labs, 1630 Linden Drive, Madison, WI 53706, USA
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  • Associate Editor: Boal.

Abstract

Natural resource managers are tasked with assessing the impacts of climate change on conservation targets and developing adaptation strategies to meet agency goals. The complex, transboundary nature of climate change demands the collaboration of scientists, managers, and stakeholders in this effort. To share, integrate, and apply knowledge from these diverse perspectives, we must engage in social learning. In 2009, we initiated a process to engage university researchers and agency scientists and managers in collaborative learning to assess the impacts of climate change on terrestrial fauna in the state of Wisconsin, USA. We constructed conceptual Bayesian networks to depict the influence of climate change, key biotic and abiotic factors, and existing stressors on the distribution and abundance of 3 species: greater prairie-chicken (Tympanuchus cupido), wood frog (Lithobates sylvaticus), and Karner blue butterfly (Plebejus melissa samuelis). For each species, we completed a 2-stage expert review that elicited dialogue on information gaps, management opportunities, and research priorities. From our experience, collaborative network modeling proved to be a powerful tool to develop a common vision of the potential impacts of climate change on conservation targets. © 2011 The Wildlife Society.

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