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Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time. SDMs are now widely used across terrestrial, freshwater, and marine realms. Differences in methods between disciplines reflect both differences in species mobility and in “established use.” Model realism and robustness is influenced by selection of relevant predictors and modeling method, consideration of scale, how the interplay between environmental and geographic factors is handled, and the extent of extrapolation. Current linkages between SDM practice and ecological theory are often weak, hindering progress. Remaining challenges include: improvement of methods for modeling presence-only data and for model selection and evaluation; accounting for biotic interactions; and assessing model uncertainty. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Ecology, Evolution, and Systematics Annual Reviews

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

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References (125)

Publisher
Annual Reviews
Copyright
Copyright © 2009 by Annual Reviews. All rights reserved
ISSN
0066-4162
DOI
10.1146/annurev.ecolsys.110308.120159
Publisher site
See Article on Publisher Site

Abstract

Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time. SDMs are now widely used across terrestrial, freshwater, and marine realms. Differences in methods between disciplines reflect both differences in species mobility and in “established use.” Model realism and robustness is influenced by selection of relevant predictors and modeling method, consideration of scale, how the interplay between environmental and geographic factors is handled, and the extent of extrapolation. Current linkages between SDM practice and ecological theory are often weak, hindering progress. Remaining challenges include: improvement of methods for modeling presence-only data and for model selection and evaluation; accounting for biotic interactions; and assessing model uncertainty.

Journal

Annual Review of Ecology, Evolution, and SystematicsAnnual Reviews

Published: Dec 1, 2009

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