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Multidimensional Evaluation of Managed RelocationDavid M. RichardsonCentre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University Jessica J. HellmanDepartment of Biological Sciences Jason S. McLachlanUniversity of Notre Dame, College of Biological Sciences Dov F. SaxBrown University Mark W. SchwartzDepartment of Environmental Science and Policy Patrick Gonzalezaffiliation not provided to SSRN Alejandro E. CamachoUniversity of California Irvine School of Law Terry L. Rootaffiliation not provided to SSRN Osvaldo E. SalaBrown University Stephen H. SchneiderStanford University - Department of Biological Sciences Daniel Asheaffiliation not provided to SSRN Ben A. MinteerArizona State University, Center for Biology and Society, School of Life Sciences Stephen PolaskyUniversity of Minnesota, Twin Cities - Department of Applied Economics Jean BrennanDefenders of Wildlife Jamie Rappaport ClarkDefenders of Wildlife Regan EarlyBrown University, Ecology and Evolutionary Biology Julie R. EttersonUniversity of Minnesota - Duluth, Biology E. Dwight FielderUS Department of the Interior, Bureau of Land Managment Jacquelyn L. GillBrown University Hugh D. SaffordGovernment of the United States of America - Forest Service Andrew R. ThompsonUniversity of California, San Diego (UCSD) - Southwest Fisheries Science Center Mark VellendUniversité de Sherbrooke, Département de biologie; University of British Columbia (UBC), Depts of Botany, Zoology & Biodiversity Research Centre 2009 Proceedings of the National Academy of Sciences of the United States of America, Vol.106, 2009, pp.9721-9724 UC Irvine School of Law Research Paper No. 2012-49 Abstract: Managed relocation (MR) has rapidly emerged as a potential intervention strategy in the toolbox of biodiversity management under climate change. Previous authors have suggested that MR (also referred to as assisted colonization, assisted migration, or assisted translocation) could be a last-alternative option after interrogating a linear decision tree. We argue that numerous interacting and value-laden considerations demand a more inclusive strategy for evaluating MR. The pace of modern climate change demands decision making with imperfect information, and tools that elucidate this uncertainty and integrate scientific information and social values are urgently needed. We present a heuristic tool that incorporates both ecological and social criteria in a multidimensional decision-making framework. For visualization purposes, we collapse these criteria into 4 classes that can be depicted in graphical 2-D space. This framework offers a pragmatic approach for summarizing key dimensions of MR: capturing uncertainty in the evaluation criteria, creating transparency in the evaluation process, and recognizing the inherent tradeoffs that different stakeholders bring to evaluation of MR and its alternatives.
Keywords: assisted migration, climate change, conservation biology, conservation strategy, sustainability science Accepted Paper SeriesDate posted: May 25, 2012Suggested CitationContact Information
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