Multidimensional Evaluation of Managed Relocation

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-alternat...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 106; no. 24; pp. 9721 - 9724
Main Authors Richardson, David M., Hellmann, Jessica J., McLachlan, Jason S., Sax, Dov F., Schwartz, Mark W., Gonzalez, Patrick, Brennan, E. Jean, Camacho, Alejandro, Root, Terry L., Sala, Osvaldo E., Schneider, Stephen H., Ashe, Daniel M., Clark, Jamie Rappaport, Early, Regan, Etterson, Julie R., Fielder, E. Dwight, Gill, Jacquelyn L., Minteer, Ben A., Polasky, Stephen, Safford, Hugh D., Thompson, Andrew R., Vellend, Mark, Ehrlich, Paul R.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 16.06.2009
National Acad Sciences
SeriesFrom the Cover
Subjects
animal ecology
Animals
Assisted migration
Biodiversity
Biological Sciences
Climate change
Climate change policy
Communities
Conservation biology
Decision making
Ecoregions
Environmental conservation
Environmental legislation
Environmental management
forest trees
Heuristic
Heuristics
Intervention
migratory behavior
Relocation
simulation models
Social Sciences
Social values
Species
species diversity
Translocation
Uncertainty
wildlife management
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Summary: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.
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Author contributions: D.M.R., J.J.H., J.S.M., D.F.S., and M.W.S. designed research; D.M.R., J.J.H., J.S.M., D.F.S., M.W.S., P.G., E.J.B., A.C., T.L.R., O.E.S., S.H.S., D.M.A., J.R.C., R.E., J.R.E., E.D.F., J.L.G., B.A.M., S.P., H.D.S., A.R.T., and M.V. performed research; P.G., E.J.B., A.C., T.L.R., O.E.S., and S.H.S. contributed disciplinary expertise on particular aspects of the article; and D.M.R., J.J.H., J.S.M., D.F.S., and M.W.S. wrote the paper.
Edited by Paul R. Ehrlich, Stanford University, Stanford, CA, and approved April 22, 2009
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.0902327106