globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0132079
论文题名:
Modeled Sea Level Rise Impacts on Coastal Ecosystems at Six Major Estuaries on Florida’s Gulf Coast: Implications for Adaptation Planning
作者: Laura L. Geselbracht; Kathleen Freeman; Anne P. Birch; Jorge Brenner; Doria R. Gordon
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-7-24
卷: 10, 期:7
语种: 英语
英文关键词: Wetlands ; Coastal ecosystems ; Marshes ; Fresh water ; Wetland ecosystems ; Beaches ; Mangrove swamps ; Forests
英文摘要: The Sea Level Affecting Marshes Model (SLAMM) was applied at six major estuaries along Florida’s Gulf Coast (Pensacola Bay, St. Andrews/Choctawhatchee Bays, Apalachicola Bay, Southern Big Bend, Tampa Bay and Charlotte Harbor) to provide quantitative and spatial information on how coastal ecosystems may change with sea level rise (SLR) and to identify how this information can be used to inform adaption planning. High resolution LiDAR-derived elevation data was utilized under three SLR scenarios: 0.7 m, 1 m and 2 m through the year 2100 and uncertainty analyses were conducted on selected input parameters at three sites. Results indicate that the extent, spatial orientation and relative composition of coastal ecosystems at the study areas may substantially change with SLR. Under the 1 m SLR scenario, total predicted impacts for all study areas indicate that coastal forest (-69,308 ha; -18%), undeveloped dry land (-28,444 ha; -2%) and tidal flat (-25,556 ha; -47%) will likely face the greatest loss in cover by the year 2100. The largest potential gains in cover were predicted for saltmarsh (+32,922 ha; +88%), transitional saltmarsh (+23,645 ha; na) and mangrove forest (+12,583 ha; +40%). The Charlotte Harbor and Tampa Bay study areas were predicted to experience the greatest net loss in coastal wetlands The uncertainty analyses revealed low to moderate changes in results when some numerical SLAMM input parameters were varied highlighting the value of collecting long-term sedimentation, accretion and erosion data to improve SLAMM precision. The changes predicted by SLAMM will affect exposure of adjacent human communities to coastal hazards and ecosystem functions potentially resulting in impacts to property values, infrastructure investment and insurance rates. The results and process presented here can be used as a guide for communities vulnerable to SLR to identify and prioritize adaptation strategies that slow and/or accommodate the changes underway.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0132079&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20469
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: The Nature Conservancy, Florida Chapter, Altamonte Springs, Florida, United States of America;The Nature Conservancy, Florida Chapter, Altamonte Springs, Florida, United States of America;The Nature Conservancy, Florida Chapter, Altamonte Springs, Florida, United States of America;The Nature Conservancy, Texas Chapter, Corpus Christi, Texas, United States of America;The Nature Conservancy, Florida Chapter, Altamonte Springs, Florida, United States of America;Department of Biology, University of Florida, Gainesville, Florida, United States of America

Recommended Citation:
Laura L. Geselbracht,Kathleen Freeman,Anne P. Birch,et al. Modeled Sea Level Rise Impacts on Coastal Ecosystems at Six Major Estuaries on Florida’s Gulf Coast: Implications for Adaptation Planning[J]. PLOS ONE,2015-01-01,10(7)
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