Division of Physical Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Remote Sensing Group, Plymouth Marine Laboratory, Plymouth, UK.
Glob Chang Biol. 2019 Jul;25(7):2338-2351. doi: 10.1111/gcb.14652. Epub 2019 Apr 29.
As the Earth's temperature continues to rise, coral bleaching events become more frequent. Some of the most affected reef ecosystems are located in poorly monitored waters, and thus, the extent of the damage is unknown. We propose the use of marine heatwaves (MHWs) as a new approach for detecting coral reef zones susceptible to bleaching, using the Red Sea as a model system. Red Sea corals are exceptionally heat-resistant, yet bleaching events have increased in frequency. By applying a strict definition of MHWs on >30 year satellite-derived sea surface temperature observations (1985-2015), we provide an atlas of MHW hotspots over the Red Sea coral reef zones, which includes all MHWs that caused major coral bleaching. We found that: (a) if tuned to a specific set of conditions, MHWs identify all areas where coral bleaching has previously been reported; (b) those conditions extended farther and occurred more often than bleaching was reported; and (c) an emergent pattern of extreme warming events is evident in the northern Red Sea (since 1998), a region until now thought to be a thermal refuge for corals. We argue that bleaching in the Red Sea may be vastly underrepresented. Additionally, although northern Red Sea corals exhibit remarkably high thermal resistance, the rapidly rising incidence of MHWs of high intensity indicates this region may not remain a thermal refuge much longer. As our regionally tuned MHW algorithm was capable of isolating all extreme warming events that have led to documented coral bleaching in the Red Sea, we propose that this approach could be used to reveal bleaching-prone regions in other data-limited tropical regions. It may thus prove a highly valuable tool for policymakers to optimize the sustainable management of coastal economic zones.
随着地球温度的持续上升,珊瑚白化事件变得更加频繁。一些受影响最严重的珊瑚礁生态系统位于监测不善的水域,因此,其破坏程度尚不清楚。我们提议使用海洋热浪 (MHW) 作为一种新方法来检测易受白化影响的珊瑚礁区,以红海作为模型系统。红海珊瑚具有异常的耐热性,但白化事件的频率却有所增加。通过对 30 多年的卫星衍生海面温度观测数据(1985-2015 年)应用严格的海洋热浪定义,我们提供了红海珊瑚礁区海洋热浪热点图集,其中包括所有导致大规模珊瑚白化的海洋热浪。我们发现:(a) 如果根据特定条件进行调整,海洋热浪可以识别以前报告过珊瑚白化的所有区域;(b) 这些条件比报告的白化事件延伸得更远,发生的频率更高;(c) 在红海北部(自 1998 年以来)出现了明显的极端变暖事件模式,该地区以前被认为是珊瑚的热避难所。我们认为红海的珊瑚白化可能被大大低估了。此外,尽管红海北部的珊瑚表现出极高的耐热性,但海洋热浪强度不断增加的情况表明,该地区可能不会再作为热避难所存在很长时间。由于我们的区域性海洋热浪算法能够隔离导致红海珊瑚白化的所有极端变暖事件,我们提议该方法可用于揭示其他数据有限的热带地区易受白化影响的区域。因此,它可能成为决策者优化沿海经济区可持续管理的一个非常有价值的工具。