globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.tree.2017.05.005
论文题名:
Animal Social Network Theory Can Help Wildlife Conservation
作者: Snijders L.; Blumstein D.T.; Stanley C.R.; Franks D.W.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2017
卷: 32, 期:8
起始页码: 567
结束页码: 577
语种: 英语
英文关键词: animal social network analysis ; behavior-based management ; conservation biology ; social connectivity ; wildlife management
Scopus关键词: Animalia
英文摘要: Many animals preferentially associate with certain other individuals. This social structuring can influence how populations respond to changes to their environment, thus making network analysis a promising technique for understanding, predicting, and potentially manipulating population dynamics. Various network statistics can correlate with individual fitness components and key population-level processes, yet the logical role and formal application of animal social network theory for conservation and management have not been well articulated. We outline how understanding of direct and indirect relationships between animals can be profitably applied by wildlife managers and conservationists. By doing so, we aim to stimulate the development and implementation of practical tools for wildlife conservation and management and to inspire novel behavioral research in this field. Understanding social network structure and position can aid wildlife conservation. Threatened wildlife populations offer a vital experimental platform for animal SNA. Linking animal SNA to practice stimulates design of new practical tools and theory. © 2017 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66901
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: Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany; Behavioural Ecology Group, Wageningen University & Research, Wageningen, Netherlands; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, United States; Department of Biological Sciences, University of Chester, Chester, United Kingdom; York Centre for Complex Systems Analysis, The University of York, York, United Kingdom

Recommended Citation:
Snijders L.,Blumstein D.T.,Stanley C.R.,et al. Animal Social Network Theory Can Help Wildlife Conservation[J]. Trends in Ecology and Evolution,2017-01-01,32(8)
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