外推法
稳健性(进化)
生态学
物种分布
丰度(生态学)
比例(比率)
选择(遗传算法)
计算机科学
栖息地
环境科学
地理
生物
机器学习
数学
统计
地图学
生物化学
基因
作者
Jane Elith,John R. Leathwick
标识
DOI:10.1146/annurev.ecolsys.110308.120159
摘要
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.
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