Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.tree.2017.05.005 |
Animal Social Network Theory Can Help Wildlife Conservation | |
Snijders, Lysanne1,2; Blumstein, Daniel T.3; Stanley, Christina R.4; Franks, Daniel W.5 | |
2017-08-01 | |
发表期刊 | TRENDS IN ECOLOGY & EVOLUTION
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ISSN | 0169-5347 |
EISSN | 1872-8383 |
出版年 | 2017 |
卷号 | 32期号:8 |
文章类型 | Review |
语种 | 英语 |
国家 | Germany; Netherlands; USA; England |
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. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000405853100005 |
WOS关键词 | HABITAT FRAGMENTATION ; TRANSMISSION ; POPULATION ; CONSEQUENCES ; BEHAVIOR ; TUBERCULOSIS ; INFORMATION ; CONNECTIONS ; MANAGEMENT ; FREQUENCY |
WOS类目 | Ecology ; Evolutionary Biology ; Genetics & Heredity |
WOS研究方向 | Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/28586 |
专题 | 资源环境科学 |
作者单位 | 1.Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Biol & Ecol Fishes, Berlin, Germany; 2.Wageningen Univ & Res, Behav Ecol Grp, Wageningen, Netherlands; 3.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA USA; 4.Univ Chester, Dept Biol Sci, Chester, Cheshire, England; 5.Univ York, York Ctr Complex Syst Anal, York, N Yorkshire, England |
推荐引用方式 GB/T 7714 | Snijders, Lysanne,Blumstein, Daniel T.,Stanley, Christina R.,et al. Animal Social Network Theory Can Help Wildlife Conservation[J]. TRENDS IN ECOLOGY & EVOLUTION,2017,32(8). |
APA | Snijders, Lysanne,Blumstein, Daniel T.,Stanley, Christina R.,&Franks, Daniel W..(2017).Animal Social Network Theory Can Help Wildlife Conservation.TRENDS IN ECOLOGY & EVOLUTION,32(8). |
MLA | Snijders, Lysanne,et al."Animal Social Network Theory Can Help Wildlife Conservation".TRENDS IN ECOLOGY & EVOLUTION 32.8(2017). |
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