Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/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 |
ISSN | 1461-023X |
EISSN | 1461-0248 |
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 |
推荐引用方式 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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