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Structuring Decisions for Managing Threatened and Endangered Species in a Changing Climate
Authors:ROBIN GREGORY  JOSEPH ARVAI  LEAH R GERBER
Institution:1. Decision Research, , BC, V0N 1P0 Canada;2. Department of Geography, University of Calgary, , Calgary, Alberta, T2N 1N4 Canada;3. Decision Research, , Eugene, OR, 97401 U.S.A.;4. Ecology, Evolution and Environmental Science, School of Life Sciences, Arizona State University, , Tempe, AZ, 85287‐4501 U.S.A.
Abstract:The management of endangered species under climate change is a challenging and often controversial task that incorporates input from a variety of different environmental, economic, social, and political interests. Yet many listing and recovery decisions for endangered species unfold on an ad hoc basis without reference to decision‐aiding approaches that can improve the quality of management choices. Unlike many treatments of this issue, which consider endangered species management a science‐based problem, we suggest that a clear decision‐making process is equally necessary. In the face of new threats due to climate change, managers’ choices about endangered species require closely linked analyses and deliberations that identify key objectives and develop measurable attributes, generate and compare management alternatives, estimate expected consequences and key sources of uncertainty, and clarify trade‐offs across different dimensions of value. Several recent cases of endangered species conservation decisions illustrate our proposed decision‐focused approach, including Gulf of Maine Atlantic salmon (Salmo salar) recovery framework development, Cultus Lake sockeye salmon (Oncorhynchus nerka) management, and Upper Columbia River white sturgeon (Acipenser transmontanus) recovery planning. Estructuración de Decisiones para Manejar Especies Amenazadas y en Peligro en un Clima Cambiante
Keywords:collaborative decision making  environmental management  recovery choices  stakeholders  value trade‐offs  balance de valores  manejo ambiental  opciones de recuperació  n  partes interesadas  toma de decisiones colaborativas
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