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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 …
How Diverse Detrital Environments Influence Nutrient Stoichiometry Between Males And Females Of The Co-Occurring Container Mosquitoes Aedes Albopictus, Ae. Aegypti, And Culex Quinquefasciatus, Donald A. Yee, Michael G. Kaufman, Nnaemeka F. Ezeakacha
How Diverse Detrital Environments Influence Nutrient Stoichiometry Between Males And Females Of The Co-Occurring Container Mosquitoes Aedes Albopictus, Ae. Aegypti, And Culex Quinquefasciatus, Donald A. Yee, Michael G. Kaufman, Nnaemeka F. Ezeakacha
Faculty Publications
Allocation patterns of carbon and nitrogen in animals are influenced by food quality and quantity, as well as by inherent metabolic and physiological constraints within organisms. Whole body stoichiometry also may vary between the sexes who differ in development rates and reproductive allocation patterns. In aquatic containers, such as tree holes and tires, detrital inputs, which vary in amounts of carbon and nitrogen, form the basis of the mosquito-dominated food web. Differences in development times and mass between male and female mosquitoes may be the result of different reproductive constraints, which could also influence patterns of nutrient allocation. We examined …