DOI: | 10.1016/j.tree.2016.01.011
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论文题名: | Emerging Network-Based Tools in Movement Ecology |
作者: | Jacoby D.M.P.; Freeman R.
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刊名: | Trends in Ecology and Evolution
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ISSN: | 1695347
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出版年: | 2016
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卷: | 31, 期:4 | 起始页码: | 301
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结束页码: | 314
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语种: | 英语
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英文关键词: | Animal tracking
; Connectivity
; Graph theory
; Social behaviour
; Spatial networks
; Telemetry
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Scopus关键词: | animal
; behavioral ecology
; complexity
; connectivity
; conservation management
; data acquisition
; movement
; prediction
; social behavior
; spatiotemporal analysis
; technological change
; telemetry
; theoretical study
; tracking
; Animalia
; animal
; biological model
; ecology
; locomotion
; population migration
; procedures
; social behavior
; spatial behavior
; Animal Migration
; Animals
; Ecology
; Locomotion
; Models, Biological
; Social Behavior
; Spatial Behavior
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英文摘要: | New technologies have vastly increased the available data on animal movement and behaviour. Consequently, new methods deciphering the spatial and temporal interactions between individuals and their environments are vital. Network analyses offer a powerful suite of tools to disentangle the complexity within these dynamic systems, and we review these tools, their application, and how they have generated new ecological and behavioural insights. We suggest that network theory can be used to model and predict the influence of ecological and environmental parameters on animal movement, focusing on spatial and social connectivity, with fundamental implications for conservation. Refining how we construct and randomise spatial networks at different temporal scales will help to establish network theory as a prominent, hypothesis-generating tool in movement ecology. © 2016 Elsevier Ltd. |
Citation statistics: |
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资源类型: | 期刊论文
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标识符: | http://119.78.100.158/handle/2HF3EXSE/67076
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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: | Institute of Zoology, Zoological Society of London, Regent's Park, London, United Kingdom
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Recommended Citation: |
Jacoby D.M.P.,Freeman R.. Emerging Network-Based Tools in Movement Ecology[J]. Trends in Ecology and Evolution,2016-01-01,31(4)
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