Abstract
Increasing sea surface temperatures (SSTs) are predicted to adversely impact coral populations worldwide through increasing thermal bleaching events. Future bleaching is unlikely to be spatially uniform. Therefore, understanding what determines regional differences will be critical for adaptation management. Here, using a cumulative heat stress metric, we show that characteristics of regional SST determine the future bleaching risk patterns. Incorporating observed information on SST variability, in assessing future bleaching risk, provides novel options for management strategies. As a consequence, the known biases in climate model variability and the uncertainties in regional warming rate across climate models are less detrimental than previously thought. We also show that the thresholds used to indicate reef viability can strongly influence a decision on what constitutes a potential refugia. Observing and understanding the drivers of regional variability, and the viability limits of coral reefs, is therefore critical for making meaningful projections of coral bleaching risk.
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Acknowledgements
We thank the World Climate Research Programs Working Group on Coupled Modelling for their roles in making available the CMIP5 multi-model data sets. This work was supported by the NCI National Facility. This research was conducted with the support of the Pacific-Australia Climate Change Science and Adaptation Planning Program funded by AusAID in collaboration with the Department of Climate Change and Energy Efficiency, and delivered by the Bureau of Meteorology and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). The manuscript contents are solely the opinions of the authors and do not constitute a statement of policy, decision, or position on behalf of NOAA or the US government.
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All authors contributed to the design and writing of the paper. C.E.L. performed the research. C.E.L. and A.L. analysed the data.
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Langlais, C., Lenton, A., Heron, S. et al. Coral bleaching pathways under the control of regional temperature variability. Nature Clim Change 7, 839–844 (2017). https://doi.org/10.1038/nclimate3399
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DOI: https://doi.org/10.1038/nclimate3399
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