globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.tree.2016.08.005
论文题名:
Towards Process-based Range Modeling of Many Species
作者: Evans M.E.K.; Merow C.; Record S.; McMahon S.M.; Enquist B.J.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2016
卷: 31, 期:11
起始页码: 860
结束页码: 871
语种: 英语
英文关键词: data fusion ; ecological forecasting ; hierarchical model ; inverse modeling ; species distribution models
Scopus关键词: biodiversity ; data set ; geographical distribution ; global change ; hierarchical system ; inverse analysis ; numerical model
英文摘要: Understanding and forecasting species’ geographic distributions in the face of global change is a central priority in biodiversity science. The existing view is that one must choose between correlative models for many species versus process-based models for few species. We suggest that opportunities exist to produce process-based range models for many species, by using hierarchical and inverse modeling to borrow strength across species, fill data gaps, fuse diverse data sets, and model across biological and spatial scales. We review the statistical ecology and population and range modeling literature, illustrating these modeling strategies in action. A variety of large, coordinated ecological datasets that can feed into these modeling solutions already exist, and we highlight organisms that seem ripe for the challenge. © 2016 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66993
Appears in Collections:全球变化的国际研究计划
气候变化与战略

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作者单位: Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, United States; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States; Department of Biology, Bryn Mawr College, Bryn Mawr, PA, United States; Smithsonian Environmental Research Center, Edgewater, MD, United States; The Santa Fe Institute, Santa Fe, NM, United States; Center for Environmental Studies, Aspen, CO, United States

Recommended Citation:
Evans M.E.K.,Merow C.,Record S.,et al. Towards Process-based Range Modeling of Many Species[J]. Trends in Ecology and Evolution,2016-01-01,31(11)
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