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A Comprehensive Evaluation Of Predictive Performance Of 33 Species Distribution Models At Species And Community Levels, Anna Norberg, Nerea Abrego, F. Guillaume Blanchet, Frederick R. Adler, Barbara J. Anderson, Jani Anttila, Miguel B. Araújo, Tad Dallas, David Dunson, Jane Elith, Scott D. Foster, Richard Fox, Janet Franklin, William Godsoe, Antoine Guisan, Bob O'Hara, Nicole A. Hill, Robert D. Holt, Francis K.C. Hui, Magne Husby, John Atle Kålås, Aleksi Lehikoinen, Miska Luoto, Heidi K. Mod, Graeme Newell, Ian Renner, Tomas Roslin, Janne Soininen, Wilfried Thuiller, Jarno Vanhatalo, David Warton, Matt White, Niklaus E. Zimmermann, Dominque Gravel, Otso Ovaskainen
A Comprehensive Evaluation Of Predictive Performance Of 33 Species Distribution Models At Species And Community Levels, Anna Norberg, Nerea Abrego, F. Guillaume Blanchet, Frederick R. Adler, Barbara J. Anderson, Jani Anttila, Miguel B. Araújo, Tad Dallas, David Dunson, Jane Elith, Scott D. Foster, Richard Fox, Janet Franklin, William Godsoe, Antoine Guisan, Bob O'Hara, Nicole A. Hill, Robert D. Holt, Francis K.C. Hui, Magne Husby, John Atle Kålås, Aleksi Lehikoinen, Miska Luoto, Heidi K. Mod, Graeme Newell, Ian Renner, Tomas Roslin, Janne Soininen, Wilfried Thuiller, Jarno Vanhatalo, David Warton, Matt White, Niklaus E. Zimmermann, Dominque Gravel, Otso Ovaskainen
Faculty Publications
A large array of species distribution model (SDM) approaches has been developed for explaining and predicting the occurrences of individual species or species assemblages. Given the wealth of existing models, it is unclear which models perform best for interpolation or extrapolation of existing data sets, particularly when one is concerned with species assemblages. We compared the predictive performance of 33 variants of 15 widely applied and recently emerged SDMs in the context of multispecies data, including both joint SDMs that model multiple species together, and stacked SDMs that model each species individually combining the predictions afterward. We offer a comprehensive …
A Comprehensive Evaluation Of Predictive Performance Of 33 Species Distribution Models At Species And Community Levels, Anna Norberg, Nerea Abrego, F. Guillaume Blanchet, Frederick R. Adler, Barbara J. Anderson, Jani Anttila, Miguel B. Araújo, Tad Dallas, David Dunson, Jane Elith, Scott D. Foster, Richard Fox, Janet Franklin, William Godsoe, Antoine Guisan, Bob O'Hara, Nicole A. Hill, Robert D. Holt, Francis K.C. Hui, Magne Husby, John Atle Kålås, Aleksi Lehikoinen, Miska Luoto, Heidi K. Mod, Graeme Newell, Ian Renner, Tomas Roslin, Janne Soininen, Wilfried Thuiller, Jarno Vanhatalo, David Warton, Matt White, Niklaus E. Zimmermann
A Comprehensive Evaluation Of Predictive Performance Of 33 Species Distribution Models At Species And Community Levels, Anna Norberg, Nerea Abrego, F. Guillaume Blanchet, Frederick R. Adler, Barbara J. Anderson, Jani Anttila, Miguel B. Araújo, Tad Dallas, David Dunson, Jane Elith, Scott D. Foster, Richard Fox, Janet Franklin, William Godsoe, Antoine Guisan, Bob O'Hara, Nicole A. Hill, Robert D. Holt, Francis K.C. Hui, Magne Husby, John Atle Kålås, Aleksi Lehikoinen, Miska Luoto, Heidi K. Mod, Graeme Newell, Ian Renner, Tomas Roslin, Janne Soininen, Wilfried Thuiller, Jarno Vanhatalo, David Warton, Matt White, Niklaus E. Zimmermann
Faculty Publications
© 2019 The Authors. Ecological Monographs published by Wiley Periodicals, Inc. on behalf of Ecological Society of America A large array of species distribution model (SDM) approaches has been developed for explaining and predicting the occurrences of individual species or species assemblages. Given the wealth of existing models, it is unclear which models perform best for interpolation or extrapolation of existing data sets, particularly when one is concerned with species assemblages. We compared the predictive performance of 33 variants of 15 widely applied and recently emerged SDMs in the context of multispecies data, including both joint SDMs that model multiple …