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      Applying species distribution models to caves and other subterranean habitats

      1 , 2
      Ecography
      Wiley

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          Selecting pseudo-absences for species distribution models: how, where and how many?

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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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              The importance of biotic interactions for modelling species distributions under climate change

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                Author and article information

                Journal
                Ecography
                Ecography
                Wiley
                09067590
                July 2018
                July 2018
                November 27 2017
                : 41
                : 7
                : 1194-1208
                Affiliations
                [1 ]Laboratory of Terrestrial Ecosystems, Dept of Life Sciences and Systems Biology, Univ. of Torino; Torino Italy
                [2 ]Unité Biologie des organismes et écosystèmes aquatiques (BOREA UMR 7208), Muséum national d'Histoire naturelle, Sorbonne Univ., Univ. Pierre et Marie Curie, Univ. de Caen Normandie, Univ. des Antilles, CNRS, IRD; Paris France
                Article
                10.1111/ecog.03464
                007d273a-c7b9-4d50-9d7a-febce8a4dbb3
                © 2017

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

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

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