Abstract
The persistent exposure of coral assemblages to more variable abiotic regimes is assumed to augment their resilience to future climatic variability. Yet, while the determinants of coral population resilience across species remain unknown, we are unable to predict the winners and losers across reef ecosystems exposed to increasingly variable conditions. Using annual surveys of 3171 coral individuals across Australia and Japan (2016-2019), we explore spatial variation across the short- and long-term dynamics of competitive, stress-tolerant, and weedy assemblages to evaluate how abiotic variability mediates the structural composition of coral assemblages. We illustrate how, by promoting short-term potential over long-term performance, coral assemblages can reduce their vulnerability to stochastic environments. However, compared to stress-tolerant, and weedy assemblages, competitive coral taxa display a reduced capacity for elevating their short-term potential. Accordingly, future climatic shifts threaten the structural complexity of coral assemblages in variable environments, emulating the degradation expected across global tropical reefs.
Original language | English |
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Article number | e4138 |
Number of pages | 16 |
Journal | Ecology |
Volume | 104 |
Issue number | 9 |
Early online date | 30 Jul 2023 |
DOIs | |
Publication status | Published - 1 Sept 2023 |
Keywords
- Amplification
- Demography
- Integral projection model (IPM)
- Resilience
- Subtropical
- Transient dynamics
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CantJ/Corals-at-higher-latitudes: Coral resilience at higher latitudes
Cant, J. (Creator), Zenodo, 2023
Dataset: Software
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Colony-level coral demographic data from Japan & Australia (2016-2019)
Cant, J. (Creator), Reimer, J. (Creator), Sommer, B. (Creator), Cook, K. (Creator), Kim, S. (Creator), Sims, C. (Creator), Mezaki, T. (Creator), O'Flaherty, C. (Creator), Brooks, M. (Creator), Malcolm, H. (Creator), Pandolfi, J. (Creator), Salguero-Gómez, R. (Creator) & Beger, M. (Creator), Zenodo, 2023
DOI: 10.5061/dryad.w0vt4b8xd, https://zenodo.org/record/8072718
Dataset