DOI: 10.1111/ele.12784
Scopus记录号: 2-s2.0-85020438203
论文题名: Network theory and metapopulation persistence: incorporating node self-connections
作者: Zamborain-Mason J. ; Russ G.R. ; Abesamis R.A. ; Bucol A.A. ; Connolly S.R.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2017
卷: 20, 期: 7 起始页码: 815
结束页码: 831
语种: 英语
英文关键词: Conservation planning
; local retention
; metapopulation persistence
; network metrics
; network theory
; reserve networks
; self-recruitment
Scopus关键词: age structure
; conservation planning
; ecological theory
; graphical method
; metapopulation
; network analysis
; persistence
; recruitment (population dynamics)
; aquatic species
; biological model
; ecosystem
; population dynamics
; Aquatic Organisms
; Ecosystem
; Models, Biological
; Population Dynamics
英文摘要: Network analysis is gaining increasing importance in conservation planning. However, which network metrics are the best predictors of metapopulation persistence is still unresolved. Here, we identify a critical limitation of graph theory-derived network metrics that have been proposed for this purpose: their omission of node self-connections. We resolve this by presenting modifications of existing network metrics, and developing entirely new metrics, that account for node self-connections. Then, we illustrate the performance of these new and modified metrics with an age-structured metapopulation model for a real-world marine reserve network case study, and we evaluate the robustness of our findings by systematically varying particular features of that network. Our new and modified metrics predict metapopulation persistence much better than existing metrics do, even when self-connections are weak. Existing metrics become good predictors of persistence only when self-connections are entirely absent, an unrealistic scenario in the overwhelming majority of metapopulation applications. Our study provides a set of novel tools that can substantially enhance the extent to which network metrics can be employed to understand, and manage for, metapopulation persistence. © 2017 John Wiley & Sons Ltd/CNRS Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107602
Appears in Collections: 气候减缓与适应
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作者单位: College of Science and Engineering, James Cook University, Townsville, QLD, Australia; ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, Australia; Silliman University – Angelo King Centre for Research and Environmental Management, Negros Oriental, Philippines
Recommended Citation:
Zamborain-Mason J.,Russ G.R.,Abesamis R.A.,et al. Network theory and metapopulation persistence: incorporating node self-connections[J]. Ecology Letters,2017-01-01,20(7)