An introduction to decision science for conservation.

Autor: Hemming V; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Camaclang AE; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Adams MS; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Burgman M; Centre for Environmental Policy, Imperial College London, London, UK., Carbeck K; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Carwardine J; Land and Water, CSIRO, Dutton Park, Queensland, Australia., Chadès I; Land and Water, CSIRO, Dutton Park, Queensland, Australia., Chalifour L; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.; Department of Biology, University of Victoria, Victoria, British Columbia, Canada., Converse SJ; U.S. Geological Survey, Washington Cooperative Fish and Wildlife Research Unit, School of Environmental and Forest Sciences & School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA., Davidson LNK; Biodiversity Research Center, University of British Columbia, Vancouver, British Columbia, Canada., Garrard GE; School of Ecosystem and Forest Sciences, The University of Melbourne, Melbourne, Victoria, Australia., Finn R; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Fleri JR; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.; Department of Botany, University of Wyoming, Laramie, Wyoming, USA., Huard J; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Mayfield HJ; School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland, Australia.; Centre for Biodiversity and Conservation Science, The University of Queensland, Saint Lucia, Queensland, Australia., Madden EM; School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland, Australia., Naujokaitis-Lewis I; National Wildlife Research Centre, Environment and Climate Change Canada, Carleton University, Ottawa, Ontario, Canada., Possingham HP; Centre for Biodiversity and Conservation Science, The University of Queensland, Saint Lucia, Queensland, Australia., Rumpff L; School of Ecosystem and Forest Sciences, The University of Melbourne, Melbourne, Victoria, Australia., Runge MC; U.S. Geological Survey Eastern Ecological Science Center, Patuxent Research Refuge, Laurel, Maryland, USA., Stewart D; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Tulloch VJD; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Walshe T; School of Ecosystem and Forest Sciences, The University of Melbourne, Melbourne, Victoria, Australia., Martin TG; Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Jazyk: angličtina
Zdroj: Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2022 Feb; Vol. 36 (1), pp. e13868. Date of Electronic Publication: 2022 Jan 28.
DOI: 10.1111/cobi.13868
Abstrakt: Biodiversity conservation decisions are difficult, especially when they involve differing values, complex multidimensional objectives, scarce resources, urgency, and considerable uncertainty. Decision science embodies a theory about how to make difficult decisions and an extensive array of frameworks and tools that make that theory practical. We sought to improve conceptual clarity and practical application of decision science to help decision makers apply decision science to conservation problems. We addressed barriers to the uptake of decision science, including a lack of training and awareness of decision science; confusion over common terminology and which tools and frameworks to apply; and the mistaken impression that applying decision science must be time consuming, expensive, and complex. To aid in navigating the extensive and disparate decision science literature, we clarify meaning of common terms: decision science, decision theory, decision analysis, structured decision-making, and decision-support tools. Applying decision science does not have to be complex or time consuming; rather, it begins with knowing how to think through the components of a decision utilizing decision analysis (i.e., define the problem, elicit objectives, develop alternatives, estimate consequences, and perform trade-offs). This is best achieved by applying a rapid-prototyping approach. At each step, decision-support tools can provide additional insight and clarity, whereas decision-support frameworks (e.g., priority threat management and systematic conservation planning) can aid navigation of multiple steps of a decision analysis for particular contexts. We summarize key decision-support frameworks and tools and describe to which step of a decision analysis, and to which contexts, each is most useful to apply. Our introduction to decision science will aid in contextualizing current approaches and new developments, and help decision makers begin to apply decision science to conservation problems.
(© 2021 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.)
Databáze: MEDLINE
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