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| DOI | 10.1111/ele.13714 |
| DynaMETE: a hybrid MaxEnt-plus-mechanism theory of dynamic macroecology | |
| Harte J.; Umemura K.; Brush M. | |
| 发表日期 | 2021 |
| ISSN | 1461023X |
| 起始页码 | 935 |
| 结束页码 | 949 |
| 卷号 | 24期号:5 |
| 英文摘要 | The Maximum Entropy Theory of Ecology (METE) predicts the shapes of macroecological metrics in relatively static ecosystems, across spatial scales, taxonomic categories and habitats, using constraints imposed by static state variables. In disturbed ecosystems, however, with time-varying state variables, its predictions often fail. We extend macroecological theory from static to dynamic by combining the MaxEnt inference procedure with explicit mechanisms governing disturbance. In the static limit, the resulting theory, DynaMETE, reduces to METE but also predicts a new scaling relationship among static state variables. Under disturbances, expressed as shifts in demographic, ontogenic growth or migration rates, DynaMETE predicts the time trajectories of the state variables as well as the time-varying shapes of macroecological metrics such as the species abundance distribution and the distribution of metabolic rates over individuals. An iterative procedure for solving the dynamic theory is presented. Characteristic signatures of the deviation from static predictions of macroecological patterns are shown to result from different kinds of disturbance. By combining MaxEnt inference with explicit dynamical mechanisms of disturbance, DynaMETE is a candidate theory of macroecology for ecosystems responding to anthropogenic or natural disturbances. © 2021 The Authors. Ecology Letters published by John Wiley & Sons Ltd. |
| 关键词 | Abundance distributiondisturbanceDynaMETEdynamicsmacroecologymaximum entropymechanismmetabolic rate distributionMETE |
| 英文关键词 | anthropogenic effect; disturbance; macroecology; maximum entropy analysis; metabolism; ontogeny; biological model; ecology; ecosystem; entropy; human; Ecology; Ecosystem; Entropy; Humans; Models, Biological |
| 语种 | 英语 |
| 来源期刊 | Ecology Letters
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/204401 |
| 作者单位 | The Energy and Resources Group, University of California, Berkeley, CA 94720, United States; The Rocky Mountain Biological Laboratory, Gothic, CO 81224, United States; The Santa Fe Institute, Santa Fe, NM 87501, United States; Department of Physics, University of California, Berkeley, CA 94720, United States |
| 推荐引用方式 GB/T 7714 | Harte J.,Umemura K.,Brush M.. DynaMETE: a hybrid MaxEnt-plus-mechanism theory of dynamic macroecology[J],2021,24(5). |
| APA | Harte J.,Umemura K.,&Brush M..(2021).DynaMETE: a hybrid MaxEnt-plus-mechanism theory of dynamic macroecology.Ecology Letters,24(5). |
| MLA | Harte J.,et al."DynaMETE: a hybrid MaxEnt-plus-mechanism theory of dynamic macroecology".Ecology Letters 24.5(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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