气候变化领域集成服务门户(CCPortal): Predicting coral community recovery using multi-species population dynamics models

CCPortal

DOI	10.1111/ele.13203
	Predicting coral community recovery using multi-species population dynamics models
	Kayal M.; Lenihan H.S.; Brooks A.J.; Holbrook S.J.; Schmitt R.J.; Kendall B.E.
发表日期	2019
ISSN	1461023X
卷号	22 期号:4
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
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
语种	英语
scopus关键词	Anthozoa; animal; Anthozoa; coral reef; ecology; ecosystem; population dynamics; Animals; Anthozoa; Coral Reefs; Ecology; Ecosystem; Population Dynamics
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/121117
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
推荐引用方式 GB/T 7714	Kayal M.,Lenihan H.S.,Brooks A.J.,et al. Predicting coral community recovery using multi-species population dynamics models[J],2019,22(4).
APA	Kayal M.,Lenihan H.S.,Brooks A.J.,Holbrook S.J.,Schmitt R.J.,&Kendall B.E..(2019).Predicting coral community recovery using multi-species population dynamics models.Ecology Letters,22(4).
MLA	Kayal M.,et al."Predicting coral community recovery using multi-species population dynamics models".Ecology Letters 22.4(2019).