globalchange  > 气候减缓与适应
DOI: 10.1080/19475705.2018.1564373
WOS记录号: WOS:000458317500001
论文题名:
Geospatial modelling of the inundation levels in the Sundarbans mangrove forests due to the impact of sea level rise and identification of affected species and regions
作者: Ghosh, Manoj Kumer; Kumar, Lalit; Langat, Philip Kibet
通讯作者: Ghosh, Manoj Kumer
刊名: GEOMATICS NATURAL HAZARDS & RISK
ISSN: 1947-5705
EISSN: 1947-5713
出版年: 2019
卷: 10, 期:1, 页码:1028-1046
语种: 英语
英文关键词: Sea level rise ; Sundarbans ; Bangladesh ; mangrove ; climate change
WOS关键词: CLIMATE-CHANGE ; SATELLITE DATA ; COASTAL ; ECOSYSTEM ; VULNERABILITY ; SERVICES
WOS学科分类: Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向: Geology ; Meteorology & Atmospheric Sciences ; Water Resources
英文摘要:

This research reveals the magnitude of mangrove area loss and future impacts on mangrove species composition and distribution due to rise in Mean Sea Level (MSL). In this study, a geospatial model of potentially inundated areas was developed using Digital Elevation Model (DEM) data to assess the potential impacts of sea level rise (SLR) on the spatial distribution of mangrove species and estimate the potential inundation and subsequent mangrove area loss. The mangrove areas of 2646 ha, 9599 ha and 74,720 ha are projected to be inundated and subsequently lost by the end of the twenty first century for the low, medium and high SLR scenarios respectively under the net subsidence rate -2.4 mm/year relative to the baseline year 2000. All the major five mangrove species of the Bangladesh Sundarbans will be affected and this can potentially contribute to a change in the present species composition and biodiversity of the forest. Results suggest that, under the extreme scenario, inundation and subsequent loss of different mangrove species will be substantial and this can bring a massive change in the species composition and their spatial distribution in the Bangladesh Sundarbans.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/126903
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作者单位: Univ New England, Sch Environm & Rural Sci, Armidale, NSW, Australia

Recommended Citation:
Ghosh, Manoj Kumer,Kumar, Lalit,Langat, Philip Kibet. Geospatial modelling of the inundation levels in the Sundarbans mangrove forests due to the impact of sea level rise and identification of affected species and regions[J]. GEOMATICS NATURAL HAZARDS & RISK,2019-01-01,10(1):1028-1046
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