Valerie J. Cornet , Neal E. Cantin , Karen E. Joyce , William Leggat , Tracy D. Ainsworth , Scott F. Heron
{"title":"Enhancing coral bleaching predictive tools through integrating sensitivity to heat exposure","authors":"Valerie J. Cornet , Neal E. Cantin , Karen E. Joyce , William Leggat , Tracy D. Ainsworth , Scott F. Heron","doi":"10.1016/j.biocon.2024.110958","DOIUrl":null,"url":null,"abstract":"<div><div>Predicting coral bleaching events has been key to reef conservation management efforts. Current satellite-based bleaching prediction tools offer effective regional-scale alerts of bleaching risk, but lack reliability at the reef-scale. Bleaching models focus on predicted heat exposure during summer, omitting critical factors that influence heat stress responses and the subsequent coral reef community bleaching severity. The IPCC framework however assesses the susceptibility of a system to be harmed by climate change based on exposure, sensitivity, and adaptive capacity. In this perspective, we propose integrating the IPCC vulnerability framework to develop a holistic coral bleaching prediction model that accounts for reef-scale exposure to heat stress, species-specific sensitivity, and adaptive capacity. We specifically recommend: 1) incorporating historical temperature metrics to account for acclimatisation responses, 2) including community composition metrics to better reflect variations in sensitivity at the reef scale, and 3) addressing environmental conditions to identify potential refugia and refine predictions. We discuss these factors and the feasibility to inform metrics for use in prediction tools. Historical temperature is identified as a primary target, with community composition and environmental drivers recommended for further exploration as data availability improves. Future assessments of these <strong>sensitivity metrics</strong> should be integrated into an <strong>experimental framework</strong> to further refine and improve prediction tools. This perspective underscores the urgency of refining coral bleaching prediction models and directly supports reef conservation efforts in the face of climate change.</div></div>","PeriodicalId":55375,"journal":{"name":"Biological Conservation","volume":"302 ","pages":"Article 110958"},"PeriodicalIF":4.9000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Conservation","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0006320724005238","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
引用次数: 0
Abstract
Predicting coral bleaching events has been key to reef conservation management efforts. Current satellite-based bleaching prediction tools offer effective regional-scale alerts of bleaching risk, but lack reliability at the reef-scale. Bleaching models focus on predicted heat exposure during summer, omitting critical factors that influence heat stress responses and the subsequent coral reef community bleaching severity. The IPCC framework however assesses the susceptibility of a system to be harmed by climate change based on exposure, sensitivity, and adaptive capacity. In this perspective, we propose integrating the IPCC vulnerability framework to develop a holistic coral bleaching prediction model that accounts for reef-scale exposure to heat stress, species-specific sensitivity, and adaptive capacity. We specifically recommend: 1) incorporating historical temperature metrics to account for acclimatisation responses, 2) including community composition metrics to better reflect variations in sensitivity at the reef scale, and 3) addressing environmental conditions to identify potential refugia and refine predictions. We discuss these factors and the feasibility to inform metrics for use in prediction tools. Historical temperature is identified as a primary target, with community composition and environmental drivers recommended for further exploration as data availability improves. Future assessments of these sensitivity metrics should be integrated into an experimental framework to further refine and improve prediction tools. This perspective underscores the urgency of refining coral bleaching prediction models and directly supports reef conservation efforts in the face of climate change.
期刊介绍:
Biological Conservation is an international leading journal in the discipline of conservation biology. The journal publishes articles spanning a diverse range of fields that contribute to the biological, sociological, and economic dimensions of conservation and natural resource management. The primary aim of Biological Conservation is the publication of high-quality papers that advance the science and practice of conservation, or which demonstrate the application of conservation principles for natural resource management and policy. Therefore it will be of interest to a broad international readership.