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      Environmental correlates of floristic regions and plant turnover in the Atlantic Forest hotspot

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          Is Open Access

          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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            Model-Based Gaussian and Non-Gaussian Clustering

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              Conservation Biogeography: assessment and prospect

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                Author and article information

                Journal
                Journal of Biogeography
                J. Biogeogr.
                Wiley
                03050270
                December 2016
                December 2016
                June 15 2016
                : 43
                : 12
                : 2322-2331
                Affiliations
                [1 ]Instituto Federal do Espírito Santo; Santa Teresa ES 29650-000 Brazil
                [2 ]Departamento de Botânica; Universidade Federal de Minas Gerais; Belo Horizonte MG 31270-901 Brazil
                [3 ]Department of Biology; City College of New York and the Graduate Center of CUNY; New York NY 10031 USA
                [4 ]The New York Botanical Garden; Bronx NY 10458-5126 USA
                Article
                10.1111/jbi.12774
                56c261d2-1da9-494a-a7f5-5ffb84104a1e
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#am

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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