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• W2034777743 abstract "Species distribution models are an important tool to predict the impact of global change on species distributional ranges and community assemblages. Although considerable progress has been made in the statistical modeling during the last decade, many approaches still ignore important features of species distributions, such as nonlinearity and interactions between predictors, spatial autocorrelation, and nonstationarity, or at most incorporate only some of these features. Ecologists, however, require a modeling framework that simultaneously addresses all these features flexibly and consistently. Here we describe such an approach that allows the estimation of the global effects of environmental variables in addition to local components dealing with spatiotemporal autocorrelation as well as nonstationary effects. The local components can be used to infer unknown spatiotemporal processes; the global component describes how the species is influenced by the environment and can be used for predictions, allowing the fitting of many well-known regression relationships, ranging from simple linear models to complex decision trees or from additive models to models inspired by machine learning procedures. The reliability of spatiotemporal predictions can be qualitatively predicted by separately evaluating the importance of local and global effects. We demonstrate the potential of the new approach by modeling the breeding distribution of the Red Kite (Milvus milvus), a bird of prey occurring predominantly in Western Europe, based on presence/absence data from two mapping campaigns using grids of 40 km2 in Bavaria. The global component of the model selected seven environmental variables extracted from the CORINE and WorldClim databases to predict Red Kite breeding. The effect of altitude was found to be nonstationary in space, and in addition, the data were spatially autocorrelated, which suggests that a species distribution model that does not allow for spatially varying effects and spatial autocorrelation would have ignored important processes determining the distribution of Red Kite breeding across Bavaria. Thus, predictions from standard species distribution models that do not allow for real-world complexities may be considerably erroneous. Our analysis of Red Kite breeding exemplifies the potential of the innovative approach for species distribution models. The method is also applicable to modeling count data." @default.
• W2034777743 created "2016-06-24" @default.
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• W2034777743 date "2011-05-01" @default.
• W2034777743 modified "2023-10-17" @default.
• W2034777743 title "Decomposing environmental, spatial, and spatiotemporal components of species distributions" @default.
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• W2034777743 cites W1574962108 @default.
• W2034777743 cites W1938225006 @default.
• W2034777743 cites W1965759024 @default.
• W2034777743 cites W1967075719 @default.
• W2034777743 cites W1976518110 @default.
• W2034777743 cites W1983430444 @default.
• W2034777743 cites W1990658345 @default.
• W2034777743 cites W1994032417 @default.
• W2034777743 cites W1999246780 @default.
• W2034777743 cites W2000297055 @default.
• W2034777743 cites W2012447256 @default.
• W2034777743 cites W2018497923 @default.
• W2034777743 cites W2032903743 @default.
• W2034777743 cites W2037265708 @default.
• W2034777743 cites W2040220612 @default.
• W2034777743 cites W2043105755 @default.
• W2034777743 cites W2044129442 @default.
• W2034777743 cites W2045066934 @default.
• W2034777743 cites W2056868695 @default.
• W2034777743 cites W2057567165 @default.
• W2034777743 cites W2059198980 @default.
• W2034777743 cites W2072077896 @default.
• W2034777743 cites W2076482761 @default.
• W2034777743 cites W2081308515 @default.
• W2034777743 cites W2085552273 @default.
• W2034777743 cites W2088883866 @default.
• W2034777743 cites W2089087727 @default.
• W2034777743 cites W2089792340 @default.
• W2034777743 cites W2089880565 @default.
• W2034777743 cites W2095234124 @default.
• W2034777743 cites W2097601813 @default.
• W2034777743 cites W2097774060 @default.
• W2034777743 cites W2106886390 @default.
• W2034777743 cites W2110815890 @default.
• W2034777743 cites W2111738734 @default.
• W2034777743 cites W2112315008 @default.
• W2034777743 cites W2112776483 @default.
• W2034777743 cites W2118072459 @default.
• W2034777743 cites W2118254415 @default.
• W2034777743 cites W2118565295 @default.
• W2034777743 cites W2122291037 @default.
• W2034777743 cites W2123134008 @default.
• W2034777743 cites W2124218485 @default.
• W2034777743 cites W2124991269 @default.
• W2034777743 cites W2125216560 @default.
• W2034777743 cites W2131429824 @default.
• W2034777743 cites W2131628363 @default.
• W2034777743 cites W2133501143 @default.
• W2034777743 cites W2135312116 @default.
• W2034777743 cites W2135695572 @default.
• W2034777743 cites W2135858501 @default.
• W2034777743 cites W2138785930 @default.
• W2034777743 cites W2139086914 @default.
• W2034777743 cites W2139525108 @default.
• W2034777743 cites W2139857790 @default.
• W2034777743 cites W2140037112 @default.
• W2034777743 cites W2147440634 @default.
• W2034777743 cites W2147798913 @default.
• W2034777743 cites W2152510010 @default.
• W2034777743 cites W2153804214 @default.
• W2034777743 cites W2154160829 @default.
• W2034777743 cites W2155988679 @default.
• W2034777743 cites W2159267296 @default.
• W2034777743 cites W2159862940 @default.
• W2034777743 cites W2161548576 @default.
• W2034777743 cites W2162467623 @default.
• W2034777743 cites W2163348569 @default.
• W2034777743 cites W2163954448 @default.
• W2034777743 cites W2165092068 @default.
• W2034777743 cites W2165171924 @default.
• W2034777743 cites W2168213791 @default.
• W2034777743 cites W2170565777 @default.
• W2034777743 cites W2177299793 @default.
• W2034777743 cites W2177720860 @default.
• W2034777743 cites W2295472454 @default.
• W2034777743 cites W2562162676 @default.
• W2034777743 cites W2911964244 @default.
• W2034777743 cites W3099723433 @default.
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• W2034777743 doi "https://doi.org/10.1890/10-0602.1" @default.
• W2034777743 hasPublicationYear "2011" @default.
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