Klein Shannon G, Roch Cassandra, Duarte Carlos M
Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia.
Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia.
Nat Commun. 2024 Mar 12;15(1):2224. doi: 10.1038/s41467-024-46255-2.
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.
气候变化影响综合报告,比如政府间气候变化专门委员会发布的那些报告,一直断言将全球变暖限制在1.5摄氏度不太可能保护世界上的大部分珊瑚礁。这一预测主要基于一小部分采用类似“过热”阈值方法的现有模型。我们对79篇预测珊瑚礁对气候变化反应的文章进行的系统综述揭示了五种主要方法。“过热”模型占所有研究的三分之一(32%),但在该领域获得了不成比例的高引用率(68%)。大多数方法依赖确定性的因果规则而非概率关系,这阻碍了该领域估计不确定性的能力。为了综合现有预测,我们旨在识别具有可比输出的模型。然而,模型输出和情景的不同选择将分析限制在了一小部分现有研究中。我们发现预测影响存在重大差异,这表明作为气候变化综合报告基础的文章子集可能比其他研究和方法预测的后果更严重。借鉴其他领域的见解,我们提出了将不确定性纳入确定性建模方法的方法,并提出了一种多模型集成方法来生成珊瑚礁未来的概率预测。