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Predicting coral community recovery using multi‐species population dynamics models
- 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.
- Subjects :
- 0106 biological sciences
size structure
Coral
Ecology (disciplines)
Population
Population Dynamics
010603 evolutionary biology
01 natural sciences
Ecosystem services
reassembly
Abundance (ecology)
ecosystem function
Animals
Ecosystem
14. Life underwater
education
Reef
Ecology, Evolution, Behavior and Systematics
life‐history traits
geography
education.field_of_study
Evolutionary Biology
geography.geographical_feature_category
Ecology
Coral Reefs
010604 marine biology & hydrobiology
fungi
technology, industry, and agriculture
Coral reef
15. Life on land
Anthozoa
life-history traits
elasticity analysis
multi‐species demographic model
density dependence
multi-species demographic model
Ecological Applications
[SDE]Environmental Sciences
Community recovery
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
integral projection model
Subjects
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