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DOI10.1111/ele.13153
Predicting coral community recovery using multi-species population dynamics models
Kayal, Mohsen1,2,3; Lenihan, Hunter S.1; Brooks, Andrew J.4; Holbrook, Sally J.4,5; Schmitt, Russell J.4,5; Kendall, Bruce E.1
2018-12-01
发表期刊ECOLOGY LETTERS
ISSN1461-023X
EISSN1461-0248
出版年2018
卷号21期号:12页码:1790-1799
文章类型Article
语种英语
国家USA; France
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.


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
领域资源环境
收录类别SCI-E
WOS记录号WOS:000449662400004
WOS关键词DENSITY-DEPENDENCE ; REEF ; SCALE ; FISH ; VULNERABILITY ; RESILIENCE ; MANAGEMENT ; MORTALITY ; MOOREA
WOS类目Ecology
WOS研究方向Environmental Sciences & Ecology
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/31183
专题资源环境科学
作者单位1.Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA;
2.UPVD CNRS, UMR 5110, Ctr Format & Rech Environm Mediterraneens, 52 Ave Paul Alduy, F-66860 Perpignan, France;
3.CREM, F-66420 Impasse Du Solarium, Port Barcares, France;
4.Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA;
5.Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA
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GB/T 7714
Kayal, Mohsen,Lenihan, Hunter S.,Brooks, Andrew J.,et al. Predicting coral community recovery using multi-species population dynamics models[J]. ECOLOGY LETTERS,2018,21(12):1790-1799.
APA Kayal, Mohsen,Lenihan, Hunter S.,Brooks, Andrew J.,Holbrook, Sally J.,Schmitt, Russell J.,&Kendall, Bruce E..(2018).Predicting coral community recovery using multi-species population dynamics models.ECOLOGY LETTERS,21(12),1790-1799.
MLA Kayal, Mohsen,et al."Predicting coral community recovery using multi-species population dynamics models".ECOLOGY LETTERS 21.12(2018):1790-1799.
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