Cyclone(编程语言)
环境科学
红树林
热带气旋
生态系统
红树林生态系统
风暴
气候学
风速
气候变化
全球变暖
热带气旋尺度
东海岸
气象学
风暴潮
海洋学
海洋生态系统
恶劣天气
大气科学
作者
Yu Mo,James Hall,Andrew H. Baldwin,Marc Simard,Ian Donohue
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-12-05
卷期号:11 (49)
标识
DOI:10.1126/sciadv.adx6799
摘要
Cyclones cause major damage to mangrove ecosystems globally. While this damage is projected to increase as storms intensify with climate change, the consequences of changes in cyclone attributes other than wind speed remain largely unexplored. Here, we show that shifts in cyclone travel speed may also dramatically alter the risks and mechanisms of damage. By developing an interpretable machine learning model trained with all cyclones recorded worldwide from 2001 to 2021, we find that fast-moving cyclones tend to be especially destructive on steeply sloping coasts, exacerbating physical damage, whereas slow-moving cyclones induce predominantly hydrological damage. Between 1981–2000 and 2001–2020, exposure of global mangrove ecosystems to cyclones increased by 13%, accompanied by substantial changes in cyclone travel speeds, with exposure to slow- and fast-moving cyclones doubling in, respectively, the Caribbean and East Asia. Our results highlight opportunities to integrate regional shifts in cyclone attributes under a changing climate into mangrove management strategies.
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