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  5. Systematic review of the uncertainty of coral reef futures under climate change

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Article
en
2024

Systematic review of the uncertainty of coral reef futures under climate change

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en
2024
Vol 15 (1)
Vol. 15
DOI: 10.1038/s41467-024-46255-2

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Carlos M. Duarte
Carlos M. Duarte

King Abdullah University of Science and Technology

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Shannon G. Klein
Cassandra Roch
Carlos M. Duarte

Abstract

Abstract Climate change impact syntheses, such as those by the Intergovernmental Panel on Climate Change, consistently assert that limiting global warming to 1.5 °C is unlikely to safeguard most of the world’s coral reefs. This prognosis is primarily based on a small subset of available models that apply similar ‘excess heat’ threshold methodologies. Our systematic review of 79 articles projecting coral reef responses to climate change revealed five main methods. ‘Excess heat’ models constituted one third (32%) of all studies but attracted a disproportionate share (68%) of citations in the field. Most methods relied on deterministic cause-and-effect rules rather than probabilistic relationships, impeding the field’s ability to estimate uncertainty. To synthesize the available projections, we aimed to identify models with comparable outputs. However, divergent choices in model outputs and scenarios limited the analysis to a fraction of available studies. We found substantial discrepancies in the projected impacts, indicating that the subset of articles serving as a basis for climate change syntheses may project more severe consequences than other studies and methodologies. Drawing on insights from other fields, we propose methods to incorporate uncertainty into deterministic modeling approaches and propose a multi-model ensemble approach to generating probabilistic projections for coral reef futures.

How to cite this publication

Shannon G. Klein, Cassandra Roch, Carlos M. Duarte (2024). Systematic review of the uncertainty of coral reef futures under climate change. , 15(1), DOI: https://doi.org/10.1038/s41467-024-46255-2.

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Publication Details

Type

Article

Year

2024

Authors

3

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/s41467-024-46255-2

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