A global standard for monitoring coastal wetland vulnerability to accelerated sea-level rise

被引:0
|
作者
Webb E.L. [1 ]
Friess D.A. [2 ,3 ]
Krauss K.W. [4 ]
Cahoon D.R. [5 ]
Guntenspergen G.R. [5 ]
Phelps J. [1 ]
机构
[1] Department of Biological Sciences, National University of Singapore, Singapore 117543
[2] Department of Geography, National University of Singapore, Singapore 117570
[3] Singapore-Delft Water Alliance, National University of Singapore, Singapore 117576
[4] US Geological Survey, National Wetlands Research Center, Lafayette, LA 70506
[5] US Geological Survey, Patuxent Wildlife Research Center, Beltsville, MD 20705
关键词
D O I
10.1038/nclimate1756
中图分类号
学科分类号
摘要
Sea-level rise threatens coastal salt-marshes and mangrove forests around the world, and a key determinant of coastal wetland vulnerability is whether its surface elevation can keep pace with rising sea level. Globally, a large data gap exists because wetland surface and shallow subsurface processes remain unaccounted for by traditional vulnerability assessments using tide gauges. Moreover, those processes vary substantially across wetlands, so modelling platforms require relevant local data. The low-cost, simple, high-precision rod surface-elevation table-marker horizon (RSET-MH) method fills this critical data gap, can be paired with spatial data sets and modelling and is financially and technically accessible to every country with coastal wetlands. Yet, RSET deployment has been limited to a few regions and purposes. A coordinated expansion of monitoring efforts, including development of regional networks that could support data sharing and collaboration, is crucial to adequately inform coastal climate change adaptation policy at several scales. © 2013 Macmillan Publishers Limited. All rights reserved.
引用
收藏
页码:458 / 465
页数:7
相关论文
共 50 条
  • [41] Distributed process modeling for regional assessment of coastal vulnerability to sea-level rise
    Bryan, B
    Harvey, N
    Belperio, T
    Bourman, B
    ENVIRONMENTAL MODELING & ASSESSMENT, 2001, 6 (01) : 57 - 65
  • [42] Social and economic vulnerability of coastal communities to sea-level rise and extreme flooding
    Felsenstein, Daniel
    Lichter, Michal
    NATURAL HAZARDS, 2014, 71 (01) : 463 - 491
  • [43] Vulnerability assessment of the coastal mangrove ecosystems in Guangxi, China, to sea-level rise
    Li, Shasha
    Meng, Xianwei
    Ge, Zhenming
    Zhang, Liquan
    REGIONAL ENVIRONMENTAL CHANGE, 2015, 15 (02) : 265 - 275
  • [44] Distributed process modeling for regional assessment of coastal vulnerability to sea-level rise
    Brett Bryan
    Nick Harvey
    Tony Belperio
    Bob Bourman
    Environmental Modeling & Assessment, 2001, 6 : 57 - 65
  • [45] Coastal vulnerability to sea-level rise: a spatial-temporal assessment framework
    Sahin, Oz
    Mohamed, Sherif
    NATURAL HAZARDS, 2014, 70 (01) : 395 - 414
  • [46] Coastal Marsh Vulnerability to Sea-Level Rise Is Exacerbated by Plant Species Invasion
    Wang, Dawei
    Gu, Chuanhui
    Temmerman, Stijn
    Belliard, Jean-Philippe
    Gourgue, Olivier
    Xue, Liming
    Bai, Junhong
    GLOBAL CHANGE BIOLOGY, 2025, 31 (02)
  • [47] Social and economic vulnerability of coastal communities to sea-level rise and extreme flooding
    Daniel Felsenstein
    Michal Lichter
    Natural Hazards, 2014, 71 : 463 - 491
  • [48] Geoinformatics vulnerability predictions of coastal ecosystems to sea-level rise in southeastern Australia
    Al-Nasrawi, Ali K. M.
    Hamylton, Sarah M.
    Jones, Brian G.
    Hopley, Carl A.
    Al Yazichi, Yasir M.
    GEOMATICS NATURAL HAZARDS & RISK, 2018, 9 (01) : 645 - 661
  • [49] Vulnerability assessment of the coastal mangrove ecosystems in Guangxi, China, to sea-level rise
    Shasha Li
    Xianwei Meng
    Zhenming Ge
    Liquan Zhang
    Regional Environmental Change, 2015, 15 : 265 - 275
  • [50] Author Correction: New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding
    Scott A. Kulp
    Benjamin H. Strauss
    Nature Communications, 10