globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.tree.2014.04.009
论文题名:
Maximum information entropy: A foundation for ecological theory
作者: Harte J.; Newman E.A.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2014
卷: 29, 期:7
起始页码: 384
结束页码: 389
语种: 英语
英文关键词: Ecological theory ; Information entropy ; Macroecology ; MaxEnt ; Maximum entropy theory of ecology
Scopus关键词: abundance ; ecological theory ; entropy ; information ; macroecology ; probability ; species-area relationship ; animal dispersal ; biological model ; ecology ; plant dispersal ; population density ; statistical model ; Animal Distribution ; Ecology ; Models, Biological ; Models, Statistical ; Plant Dispersal ; Population Density
英文摘要: The maximum information entropy (MaxEnt) principle is a successful method of statistical inference that has recently been applied to ecology. Here, we show how MaxEnt can accurately predict patterns such as species-area relationships (SARs) and abundance distributions in macroecology and be a foundation for ecological theory. We discuss the conceptual foundation of the principle, why it often produces accurate predictions of probability distributions in science despite not incorporating explicit mechanisms, and how mismatches between predictions and data can shed light on driving mechanisms in ecology. We also review possible future extensions of the maximum entropy theory of ecology (METE), a potentially important foundation for future developments in ecological theory. © 2014 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67275
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: Energy and Resources Group, University of California, 310 Barrows Hall, Berkeley, CA 94720, United States; Department of Environmental Science, Policy, and Management, University of California at Berkeley, 130 Mulford Hall, Berkeley, CA 94720, United States

Recommended Citation:
Harte J.,Newman E.A.. Maximum information entropy: A foundation for ecological theory[J]. Trends in Ecology and Evolution,2014-01-01,29(7)
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