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      Convergence of fishers' knowledge with a species distribution model in a Peruvian shark fishery

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          Most cited references 26

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          Predicting species distributions for conservation decisions

          Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of ‘translators’ between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
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            Global catches, exploitation rates, and rebuilding options for sharks

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              Moving beyond static species distribution models in support of conservation biogeography

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                Author and article information

                Journal
                Conservation Science and Practice
                Conservation Science and Practice
                Wiley
                2578-4854
                2578-4854
                March 19 2019
                April 2019
                March 19 2019
                April 2019
                : 1
                : 4
                : e13
                Affiliations
                [1 ]Department of BiologyHopkins Marine Station of Stanford University Pacific Grove California
                [2 ]ProDelphinusUniversidad Cientifica del Sur Miraflores Peru
                [3 ]ProDelphinusUniversity of Exeter Miraflores Peru
                [4 ]Environmental Research Division, NOAA Southwest Fisheries Science CenterInstitute of Marine Science, University of California Santa Cruz Monterey California
                Article
                10.1111/csp2.13
                © 2019

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