Drivers of mangrove vulnerability and resilience to tropical cyclones in the North Atlantic Basin

被引:18
|
作者
Amaral, Cibele [1 ,2 ,3 ]
Poulter, Benjamin [3 ]
Lagomasino, David [4 ]
Fatoyinbo, Temilola [3 ]
Taillie, Paul [5 ]
Lizcano, Gil [6 ]
Canty, Steven [7 ,8 ]
Silveira, Jorge Alfredo Herrera [9 ]
Teutli-Hernandez, Claudia [10 ]
Cifuentes-Jara, Miguel [11 ,12 ]
Charles, Sean Patrick [4 ]
Moreno, Claudia Shantal [13 ]
Gonzalez-Trujillo, Juan David [14 ,15 ]
Roman-Cuesta, Rosa Maria [16 ,17 ]
机构
[1] Univ Colorado Boulder, Cooperat Inst Res Environm Sci, Earth Lab, Boulder, CO 80303 USA
[2] Univ Fed Vicosa, Dept Forest Engn, BR-36570900 Vicosa, MG, Brazil
[3] NASA Goddard Space Flight Ctr, Biospher Sci Lab, Greenbelt, MD 20771 USA
[4] East Carolina Univ, Dept Coastal Studies, Greenville, NC 27858 USA
[5] Univ Florida, Dept Wildlife Ecol & Conservat, Gainesville, FL 32611 USA
[6] Parc Barcelona Act, Climate Scale, Barcelona 08402, Spain
[7] Smithsonian Environm Res Ctr, 647 Contees Wharf Rd, Edgewater, MD 21037 USA
[8] Smithsonian Inst, Working Land & Seascapes, Washington, DC 20013 USA
[9] Ctr Invest & Estudios Avanzados, Dept Recursos Mar, Merida 97310, Mexico
[10] Escuela Nacl Estudios Super Unidad Merida, Merida 97357, Mexico
[11] Conservat Int, Arlington, VA 22202 USA
[12] Ctr Agron Trop Invest & Ensenanza, Turrialba 30501, Costa Rica
[13] Tech Univ Munich, Chair Land Management, Arcisstr 21, D-80333 Munich, Germany
[14] CSIC, Museo Nacl Ciencias Nat, Dept Biogeog & Cambio Global, JoseGutierrez Abascal 2, Madrid 28006, Spain
[15] Univ Evora, MED Inst, Rui Nabeiro Biodivers Chair, Largo Colegiais, P-7000 Evora, Portugal
[16] Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, NL-6708 PB Wageningen, Netherlands
[17] Tech Univ Munich, Sch Life Sci, Inst Forest Management, D-85354 Freising Weihenstephan, Germany
关键词
Remote sensing; Machine learning; Coastal ecosystem; Coastal development; Drought; Nature-based solutions; TREE MORTALITY; STORM SURGES; FORESTS; ECOSYSTEMS; HURRICANES; CLIMATE; COASTAL; FLORIDA; EVERGLADES; IMPACTS;
D O I
10.1016/j.scitotenv.2023.165413
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The North Atlantic Basin (NAB) has seen an increase in the frequency and intensity of tropical cyclones since the 1980s, with record-breaking seasons in 2017 and 2020. However, little is known about how coastal ecosystems, particularly mangroves in the Gulf of Mexico and the Caribbean, respond to these new "climate normals" at regional and subregional scales. Wind speed, rainfall, pre-cyclone forest height, and hydro-geomorphology are known to influence mangrove damage and recovery following cyclones in the NAB. However, previous studies have focused on local-scale responses and individual cyclonic events. Here, we analyze 25 years (1996-2020) of mangrove vulnerability (damage after a cyclone) and 24 years (1996-2019) of short-term resilience (recovery after damage) for the NAB and subregions, using multi-annual, remote sensing-derived databases. We used machine learning to characterize the influence of 22 potential variables on mangrove responses, including human development and long-term climate trends. Our results document variability in the rates and drivers of mangrove vulnerability and resilience, highlighting hotspots of cyclone impacts, mangrove damage, and loss of resilience. Cyclone characteristics mainly drove vulnerability at the regional level. In contrast, resilience was driven by site-specific conditions, including long-term climate trends, pre-cyclone forest structure, soil organic carbon stock, and coastal development (i.e., proximity to human infrastructure). Coastal development is associated with both vulnerability and resilience at the subregional level. Further, we highlight that loss of resilience occurs mostly in areas experiencing long-term drought across the NAB. The impacts of increasing cyclone activity on mangroves and their coastal protection service must be framed in the context of compound climate change effects and continued coastal development. Our work offers descriptive and spatial information to support the restoration and adaptive management of NAB mangroves, which need adequate health, structure, and density to protect coasts and serve as Nature-based Solutions against climate change and extreme weather events.
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页数:15
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