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      A standard protocol for reporting species distribution models

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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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              Spatial prediction of species distribution: an interface between ecological theory and statistical modelling

              M.P Austin (2002)
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                Author and article information

                Journal
                Ecography
                Ecography
                Wiley
                0906-7590
                1600-0587
                June 2020
                Affiliations
                [1 ]Geography Dept, Humboldt‐Univ. Berlin Berlin Germany
                [2 ]Inst. for Biochemistry and Biology, Univ. Potsdam Potsdam Germany
                [3 ]Land Change Science, Swiss Federal Research Inst. WSL Birmensdorf Switzerland
                [4 ]Dept Botany and Plant Sciences, Univ. California Riverside USA
                [5 ]Centre for Research into Ecological and Environmental Modelling, School of Mathematics and Statistics, Univ. St Andrews St Andrews Scotland
                [6 ]Biometry and Environmental Analysis, Univ. Freiburg Freiburg Germany
                [7 ]School of BioSciences, Univ. Melbourne Melbourne Australia
                [8 ]Inst. Environment, Univ. Arizona Tucson USA
                [9 ]Univ. Lausanne, DEE & IDYST Lausanne Switzerland
                [10 ]Landscape Ecology and Environmental Systems Analysis, Technische Univ. Braunschweig Braunschweig Germany
                [11 ]Dept Organismic and Evolutionary Biology and Harvard Univ. Herbaria, Harvard Univ. Cambridge USA
                [12 ]Biodiversity Inst., Univ. Kansas Lawrence USA
                [13 ]Inst. Biodiversity Science and Sustainability, California Academy of Sciences San Francisco USA
                [14 ]Berlin‐Brandenburg Inst. of Advanced Biodiversity Research (BBIB) Berlin Germany
                [15 ]Univ. Lorraine, AgroParisTech, INRAE Nancy France
                [16 ]Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA Grenoble France
                [17 ]School of Science, Engineering and Environment, Univ. Salford UK
                [18 ]Swiss Federal Inst. of Technology ETH, Dept Environmental Systems Science Zürich Switzerland
                [19 ]Ecology and Evolutionary Biology, Univ. Connecticut Storrs USA
                Article
                10.1111/ecog.04960
                1d5b826b-044b-4216-8c4c-111aaa3d0b1f
                © 2020

                http://creativecommons.org/licenses/by/3.0/

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

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