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Predicting coral community recovery using multi‐species population dynamics models

Authors :
Mohsen Kayal
Andrew J. Brooks
Sally J. Holbrook
Hunter S. Lenihan
Russell J. Schmitt
Bruce E. Kendall
Centre de recherches insulaires et observatoire de l'environnement (CRIOBE)
Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Centre de Formation et de Recherche sur les Environnements Méditérranéens (CEFREM)
Université de Perpignan Via Domitia (UPVD)-Centre National de la Recherche Scientifique (CNRS)
Faculty of the Bren School of Environmental Science and Management
University of California [Santa Barbara] (UCSB)
University of California-University of California
Marine Science Institute [Santa Barbara] (MSI)
University of California
Coulson, Tim
Source :
Ecology letters, vol 21, iss 12, Kayal, M; Lenihan, HS; Brooks, AJ; Holbrook, SJ; Schmitt, RJ; & Kendall, BE. (2018). Predicting coral community recovery using multi-species population dynamics models.. Ecology letters. doi: 10.1111/ele.13153. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/7nm875tr, Ecology Letters, Ecology Letters, Wiley, 2018, 21 (12), pp.1790-1799. ⟨10.1111/ele.13153⟩
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

International audience; 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.

Details

ISSN :
14610248 and 1461023X
Volume :
22
Database :
OpenAIRE
Journal :
Ecology Letters
Accession number :
edsair.doi.dedup.....2b751ae7c7eb04b645900028e0103ebc
Full Text :
https://doi.org/10.1111/ele.13203