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      Bird and bat species' global vulnerability to collision mortality at wind farms revealed through a trait-based assessment

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          Abstract

          Mitigation of anthropogenic climate change involves deployments of renewable energy worldwide, including wind farms, which can pose a significant collision risk to volant animals. Most studies into the collision risk between species and wind turbines, however, have taken place in industrialized countries. Potential effects for many locations and species therefore remain unclear. To redress this gap, we conducted a systematic literature review of recorded collisions between birds and bats and wind turbines within developed countries. We related collision rate to species-level traits and turbine characteristics to quantify the potential vulnerability of 9538 bird and 888 bat species globally. Avian collision rate was affected by migratory strategy, dispersal distance and habitat associations, and bat collision rates were influenced by dispersal distance. For birds and bats, larger turbine capacity (megawatts) increased collision rates; however, deploying a smaller number of large turbines with greater energy output reduced total collision risk per unit energy output, although bat mortality increased again with the largest turbines. Areas with high concentrations of vulnerable species were also identified, including migration corridors. Our results can therefore guide wind farm design and location to reduce the risk of large-scale animal mortality. This is the first quantitative global assessment of the relative collision vulnerability of species groups with wind turbines, providing valuable guidance for minimizing potentially serious negative impacts on biodiversity.

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          APE: Analyses of Phylogenetics and Evolution in R language.

          Analysis of Phylogenetics and Evolution (APE) is a package written in the R language for use in molecular evolution and phylogenetics. APE provides both utility functions for reading and writing data and manipulating phylogenetic trees, as well as several advanced methods for phylogenetic and evolutionary analysis (e.g. comparative and population genetic methods). APE takes advantage of the many R functions for statistics and graphics, and also provides a flexible framework for developing and implementing further statistical methods for the analysis of evolutionary processes. The program is free and available from the official R package archive at http://cran.r-project.org/src/contrib/PACKAGES.html#ape. APE is licensed under the GNU General Public License.
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            A general and simple method for obtainingR2from generalized linear mixed-effects models

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              MCMC Methods for Multi-Response Generalized Linear Mixed Models: TheMCMCglmmRPackage

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                Author and article information

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                Journal
                Proceedings of the Royal Society B: Biological Sciences
                Proc. R. Soc. B.
                The Royal Society
                0962-8452
                1471-2954
                September 13 2017
                September 13 2017
                September 13 2017
                : 284
                : 1862
                : 20170829
                Affiliations
                [1 ]British Trust for Ornithology, The Nunnery, Thetford, Norfolk IP24 2PU, UK
                [2 ]British Trust for Ornithology, David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK
                [3 ]RSPB Centre for Conservation Science, Royal Society for the Protection of Birds, 2 Lochside View, Edinburgh Park, Edinburgh EH12 9DH, UK
                [4 ]International Union for Conservation of Nature, David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK
                [5 ]BirdLife International, David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK
                [6 ]Conservation Science Group, Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
                [7 ]Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK
                [8 ]RSPB Centre for Conservation Science, David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK
                [9 ]Department of Life Sciences, Imperial College London, Silwood Park, Buckhurst Road, Ascot SL5 7PY, UK
                [10 ]Department of Botany and Zoology, University of Stellenbosch, P/Bag X1, Matieland 7602 Stellenbosch, South Africa
                [11 ]Joint Nature Conservation Committee, Inverdee House, Baxter Street, Aberdeen AB11 9QA, UK
                Article
                10.1098/rspb.2017.0829
                5597824
                28904135
                d7ffda51-f112-44b5-99ee-0d34e641c5f7
                © 2017

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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