globalchange  > 气候变化事实与影响
Scopus记录号: 2-s2.0-85061013690
论文题名:
Predicting coral community recovery using multi-species population dynamics models
作者: Kayal M.; Lenihan H.S.; Brooks A.J.; Holbrook S.J.; Schmitt R.J.; Kendall B.E.
刊名: Ecology Letters
ISSN: 1461023X
出版年: 2019
卷: 22, 期:4
起始页码: 605
结束页码: 615
语种: 英语
英文关键词: Community recovery ; coral reefs ; density dependence ; ecosystem function ; elasticity analysis ; integral projection model ; life-history traits ; multi-species demographic model ; reassembly ; size structure
Scopus关键词: Anthozoa
英文摘要: Predicting whether, how, and to what degree communities recover from disturbance remain major challenges in ecology. To predict recovery of coral communities we applied field survey data of early recovery dynamics to a multi-species integral projection model that captured key demographic processes driving coral population trajectories, notably density-dependent larval recruitment. After testing model predictions against field observations, we updated the model to generate projections of future coral communities. Our results indicated that communities distributed across an island landscape followed different recovery trajectories but would reassemble to pre-disturbed levels of coral abundance, composition, and size, thus demonstrating persistence in the provision of reef habitat and other ecosystem services. Our study indicates that coral community dynamics are predictable when accounting for the interplay between species life-history, environmental conditions, and density-dependence. We provide a quantitative framework for evaluating the ecological processes underlying community trajectory and characteristics important to ecosystem functioning. © 2019 John Wiley & Sons Ltd/CNRS
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122712
Appears in Collections:气候变化事实与影响

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作者单位: Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 93106, United States; UPVD-CNRS, Centre de Formation et de Recherche sur les Environnements Méditerranéens, UMR 5110, 52 avenue Paul Alduy, Perpignan, 66860, France; Centre de Recherche sur les Ecosystèmes Marins (CREM), impasse du solarium, Port-Barcarès, 66420, France; Marine Science Institute, University of California, Santa Barbara, CA 93106, United States; Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106, United States

Recommended Citation:
Kayal M.,Lenihan H.S.,Brooks A.J.,et al. Predicting coral community recovery using multi-species population dynamics models[J]. Ecology Letters,2019-01-01,22(4)
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