A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

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...

Full description

Saved in:

Bibliographic Details
Published in:	Ecological monographs Vol. 89; no. 3; pp. 1 - 24
Main Authors:	Norberg, Anna, Abrego, Nerea, Blanchet, F. Guillaume, Adler, Frederick R., Anderson, Barbara J., Anttila, Jani, Araujo, Miguel B., Dallas, Tad, Dunson, David, Elith, Jane, Foster, Scott D., Fox, Richard, Franklin, Janet, Godsoe, William, Guisan, Antoine, O'Hara, Bob, Hill, Nicole A., Holt, Robert D., Hui, Francis K. C., Husby, Magne, Kålås, John Atle, Lehikoinen, Aleksi, Luoto, Miska, Mod, Heidi K., Newell, Graeme, Renner, Ian, Roslin, Tomas, Soininen, Janne, Thuiller, Wilfried, Vanhatalo, Jarno, Warton, David, White, Matt, Zimmermann, Niklaus E., Gravel, Dominique, Ovaskainen, Otso
Format:	Journal Article
Language:	English
Published:	Durham John Wiley and Sons, Inc 01.08.2019 Ecological Society of America
Subjects:	Applications Biodiversity and Ecology Calibration Communities community assembly Community composition community modeling community structure Composition data collection Ecology Ekologi environmental filtering Environmental Sciences Extrapolation geographical distribution Global Changes Interpolation joint species distribution model model performance model validation Performance prediction prediction predictive power Rare species species interactions Species richness stacked species distribution model Statistics predictive power stacked species distribution model joint species distribution model species interactions environmental filtering prediction community assembly model performance community modeling
ISSN:	0012-9615, 1557-7015, 1557-7015
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!