Modelling the susceptibility of wetland plant species under climate change in the Mekong Delta, Vietnam

被引:29
作者
Dang, An T. N. [1 ,2 ]
Kumar, Lalit [3 ]
Reid, Michael [1 ]
Anh, Lu N. T. [4 ]
机构
[1] Univ New England, Dept Geog & Planning, Armidale, NSW 2351, Australia
[2] Univ New England, Sch Environm & Rural Sci, Armidale, NSW 2351, Australia
[3] EastCoast Geospatial Consultants, Armidale, NSW 2350, Australia
[4] Dong Thap Univ, Div Biol, Cao Lanh 870000, Vietnam
关键词
Species distribution model; Ensemble modelling; Habitat suitability; Wetland species; Climate change; Mekong Delta; Vietnam; SEA-LEVEL RISE; MANGROVE ECOSYSTEMS; CARBON STORAGE; SRI-LANKA; FORESTS; IMPACT; SUITABILITY; UNCERTAINTY; PERFORMANCE; PREVALENCE;
D O I
10.1016/j.ecoinf.2021.101358
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Wetlands are important ecosystems that provide many critical services for ecology and human communities. In the Mekong Delta (MD), Vietnam, the combined effects of climate change and sea level rise (SLR) threaten coastal mangrove forest wetlands, while inland Melaleuca forest wetlands are affected by regional changes in climate. Hence, it is essential to understand the impacts of climate change and SLR on these wetlands, particularly on the dominant species, which are integral to the structure and function of each wetland type. However, future climate suitability for wetland species is not yet well documented and well researched for the region. Therefore, this study examines the potential impacts of climate change and SLR on the three dominant species of these wetland types, Avicennia alba (A. alba) and Rhizophora apiculata (R. apiculata) in coastal mangrove forest wetlands and Melaleuca cajuputi (M. cajuputi) in inland Melaleuca forest wetlands, utilizing an ensemble modelling approach. The species occurrence points, bioclimatic and eco-physiological variables were used to model habitat suitability for the three species under current and future climate scenarios, RCP4.5 and 8.5 for 2050 and 2070. The projected reduction in habitat suitability of A. alba, R. apiculata, and M. cajuputi by mean values of 27.9%, 28.7% and 30.0%, respectively by the year 2070 indicates the vulnerability of the wetland species to climate change impacts. Increases in temperature, and in seasonal variation in precipitation and temperature, and SLR were key driving factors responsible for the losses of suitable habitat. Our findings provide useful information and data sources for development of plans and strategies to protect and conserve the wetlands from future climate change impacts.
引用
收藏
页数:15
相关论文
共 126 条
  • [1] Akumu C.E., 2009, P GREENH 2009 CLIM C
  • [2] Ensemble squid habitat model using three-dimensional ocean data
    Alabia, Irene D.
    Saitoh, Sei-Ichi
    Igarashi, Hiromichi
    Ishikawa, Yoichi
    Usui, Norihisa
    Kamachi, Masafumi
    Awaji, Toshiyuki
    Seito, Masaki
    [J]. ICES JOURNAL OF MARINE SCIENCE, 2016, 73 (07) : 1863 - 1874
  • [3] Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
    Allouche, Omri
    Tsoar, Asaf
    Kadmon, Ronen
    [J]. JOURNAL OF APPLIED ECOLOGY, 2006, 43 (06) : 1223 - 1232
  • [4] [Anonymous], 2015, Regression analysis by example, DOI 10.1002/0470055464.ch11
  • [5] [Anonymous], 2011, CONSERVATION DEV KIE
  • [6] [Anonymous], 2003, WETLANDS MANAGEMENT
  • [7] Ensemble forecasting of species distributions
    Araujo, Miguel B.
    New, Mark
    [J]. TRENDS IN ECOLOGY & EVOLUTION, 2007, 22 (01) : 42 - 47
  • [8] Arifin Y.F., 2017, JURNAL SILVIKULTUR T, V7, P77
  • [9] Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
    Band, Shahab S.
    Janizadeh, Saeid
    Pal, Subodh Chandra
    Saha, Asish
    Chakrabortty, Rabin
    Melesse, Assefa M.
    Mosavi, Amirhosein
    [J]. REMOTE SENSING, 2020, 12 (21) : 1 - 23
  • [10] Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges?
    Beaumont, Linda J.
    Graham, Erin
    Duursma, Daisy Englert
    Wilson, Peter D.
    Cabrelli, Abigail
    Baumgartner, John B.
    Hallgren, Willow
    Esperon-Rodriguez, Manuel
    Nipperess, David A.
    Warren, Dan L.
    Laffan, Shawn W.
    VanDerWal, Jeremy
    [J]. ECOLOGICAL MODELLING, 2016, 342 : 135 - 146