通过整合对热暴露的敏感性来增强珊瑚白化预测工具

IF 5.1 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Biological Conservation Pub Date : 2025-02-01 Epub Date: 2025-01-02 DOI:10.1016/j.biocon.2024.110958
Valerie J. Cornet , Neal E. Cantin , Karen E. Joyce , William Leggat , Tracy D. Ainsworth , Scott F. Heron
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引用次数: 0

摘要

预测珊瑚白化事件一直是珊瑚礁保护管理工作的关键。目前基于卫星的白化预测工具提供了有效的区域尺度的白化风险警报,但在珊瑚礁尺度上缺乏可靠性。白化模型侧重于预测夏季的热暴露,忽略了影响热应激反应和随后珊瑚礁群落白化严重程度的关键因素。然而,IPCC框架根据暴露、敏感性和适应能力来评估系统受气候变化损害的易感性。从这个角度来看,我们建议整合IPCC脆弱性框架,开发一个全面的珊瑚白化预测模型,该模型考虑了珊瑚礁尺度的热应激暴露、物种特异性敏感性和适应能力。我们特别建议:1)结合历史温度指标来解释适应反应,2)包括群落组成指标,以更好地反映珊瑚礁尺度上的敏感性变化,以及3)解决环境条件,以确定潜在的避难所并改进预测。我们将讨论这些因素以及在预测工具中使用度量的可行性。历史温度被确定为主要目标,随着数据可用性的提高,建议进一步探索群落组成和环境驱动因素。未来对这些敏感性指标的评估应纳入实验框架,以进一步完善和改进预测工具。这一观点强调了改进珊瑚白化预测模型的紧迫性,并直接支持了面对气候变化的珊瑚礁保护工作。
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Enhancing coral bleaching predictive tools through integrating sensitivity to heat exposure
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.
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来源期刊
Biological Conservation
Biological Conservation 环境科学-环境科学
CiteScore
10.20
自引率
3.40%
发文量
295
审稿时长
61 days
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.
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