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Using Shoreline Video Assessment for coastal planning and restoration in the context of climate change in Kien Giang,Vietnam
Authors:Van Cuong  Chu  Russell  Michael  Brown  Sharon  Dart  Peter
Institution:1.School of Geography, Planning and Environmental Management, University of Queensland, Brisbane, 4072, Queensland, Australia
;2.Ecotrends Consulting, Hobart, Tasmania, Australia
;3.Cooperative Research and Capacity Building Initiative, The University of Queensland, University of Tasmania and University of Newcastle, Brisbane, Queensland, Australia
;4.School of Agriculture and Food Sciences, University of Queensland, Brisbane, 4072, Queensland, Australia
;
Abstract:

Kien Giang, bordering Cambodia in the Mekong River Delta, is one of the two most vulnerable provinces in the region to coastal erosion and flooding. Coastal protection can conflict with current land use and economic development activities. The conditions of the mangrove forest and mainland coastline of the Kien Giang province were assessed using the Shoreline Video Assessment Method (SVAM) backed up with information from satellite images. Half of the 206 km Kien Giang coastline has been eroded or is being eroded. Protective mangrove forests naturally occurred in 74% of the coastline but have been under threat from illegal cutting, erosion and coastal retreat. Accurate information on the state of the coastline and mangrove forest health provided invaluable data for developing a new coastal rehabilitation plan to guard against future sea level rise. In contrast to the current boundary management of land and natural resources, this plan divided the provincial coastline into 19 sections based on the landscape condition and exposure to erosion. Priority strategic actions for erosion management, mangrove restoration and sustainable livelihood development for local communities for each section of coast were developed based on an integrated cross sectoral approach and practical experience in the Conservation and Development of the Kien Giang Biosphere Reserve Project.

Keywords:
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