A general pattern of trade-offs between ecosystem resistance and resilience to tropical cyclones.
A general pattern of trade-offs between ecosystem resistance and resilience to tropical cyclones.
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DOI：
10.1126/sciadv.abl9155
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发表时间：
2022-03-04
期刊：
影响因子：
13.6
通讯作者：
Zou X
中科院分区：
文献类型：
--
作者：
Patrick CJ;Kominoski JS;McDowell WH;Branoff B;Lagomasino D;Leon M;Hensel E;Hensel MJS;Strickland BA;Aide TM;Armitage A;Campos-Cerqueira M;Congdon VM;Crowl TA;Devlin DJ;Douglas S;Erisman BE;Feagin RA;Geist SJ;Hall NS;Hardison AK;Heithaus MR;Hogan JA;Hogan JD;Kinard S;Kiszka JJ;Lin TC;Lu K;Madden CJ;Montagna PA;O'Connell CS;Proffitt CE;Kiel Reese B;Reustle JW;Robinson KL;Rush SA;Santos RO;Schnetzer A;Smee DL;Smith RS;Starr G;Stauffer BA;Walker LM;Weaver CA;Wetz MS;Whitman ER;Wilson SS;Xue J;Zou X
热带气旋驱动沿海生态系统动态，其频率，强度和空间分布预计将随着气候变化而变化。从1985年至2018年在北方半球发生的n = 26次风暴中合成了4138个生态系统时间序列的抵抗力和恢复力模式，以预测沿海生态系统将如何应对未来的干扰制度。数据按生态系统（淡水、咸水、陆地和湿地）和响应类别（地球化学、水文、移动的生物群、定居动物和维管植物）分组。我们在分析中观察到阻力和弹性之间反复权衡的模式。这些模式可能是进化适应的结果，它们符合扰动理论，它们表明一致的规则可能决定生态系统对热带气旋的敏感性。沿海生态系统在对热带气旋的抵抗力和复原力之间表现出一贯的权衡模式。
Tropical cyclones drive coastal ecosystem dynamics, and their frequency, intensity, and spatial distribution are predicted to shift with climate change. Patterns of resistance and resilience were synthesized for 4138 ecosystem time series from n = 26 storms occurring between 1985 and 2018 in the Northern Hemisphere to predict how coastal ecosystems will respond to future disturbance regimes. Data were grouped by ecosystems (fresh water, salt water, terrestrial, and wetland) and response categories (biogeochemistry, hydrography, mobile biota, sedentary fauna, and vascular plants). We observed a repeated pattern of trade-offs between resistance and resilience across analyses. These patterns are likely the outcomes of evolutionary adaptation, they conform to disturbance theories, and they indicate that consistent rules may govern ecosystem susceptibility to tropical cyclones. Coastal ecosystems display consistent patterns of trade-offs between resistance and resilience to tropical cyclones.
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