Abstract

The Lower Mekong Basin (LMB) is biologically diverse, economically important, and home to about 65 million people. The region has undergone extensive environmental changes since the 1990s due to such factors as agricultural expansion and intensification, deforestation, more river damming, increased urbanization, growing human populations, expansion of industrial forest plantations, plus frequent natural disasters from flooding and drought. The Mekong river is also heavily used for human transportation, fishing, drinking water, and irrigation. This paper discusses use of pre-existing LULC maps from 1997 and 2010 to derive a LMB regional LULC change map for 9 classes per date using GIS overlay techniques. The change map was derived to aid SWAT hydrologic modeling applications in the LMB, given the 2010 map is currently used in multiple LMB SWAT models, whereas the 1997 map was previously used. The 2010 LULC map was constructed from Landsat and MODIS satellite data, while the 1997 map was from before the MODIS era and therefore based on available Landsat data. The 1997-2010 LULC change map showed multiple trends. Permanent agriculture had expanded in certain sub-basins into previously forested areas. Some agricultural areas were converted to industrial forest plantations. Extensive forest changes also occurred in some locations, such as areas changed to shifting cultivation or permanent crops. Also, the 1997 map under classified some urban areas, whereas the 2010 LULC map showed improved identification of such areas. LULC map accuracy were assessed for 213 randomly sampled locations. The 1997 and 2010 LULC maps showed high overall agreements with reference data exceeding 87%. The LULC change map yielded a moderately high level of overall agreement (78%) that improved to ~83% once LULC classification scheme specificity was reduced (forests and agriculture were each mapped as singular classes). The change map regionally showed a 4% decrease in agriculture and a 4 % increase in deciduous and evergreen forests combined, though deforestation hot spot areas also were evident. The project yielded LULC map data sets that are now available for aiding additional studies that assess LMB LULC change and the impacts such change may pose to water, agriculture, forestry, and disaster management efforts. More work is needed to map, quantify and assess LULC change since 2010 and to further update the 2010 LULC map currently used in the LMB SWAT models.

Highlights

  • The Lower Mekong Basin (LMB) is a region in the southeast Asia known for its agriculture, forests, fisheries, wildlife, and diverse, natural ecosystems [Mekong River Commission MRC (2010)]

  • The main goal of the land use land cover (LULC) map validation was to estimate the overall accuracy of the LULC maps

  • A LULC change mapping study for the LMB was conducted using Geographic Information System (GIS) techniques along with 1997 and 2010 LULC map data sets to produce a LULC change map. Both dates of LULC maps have been used as inputs to the MRC Soil and Water Assessment Tool (SWAT) hydrologic model framework for the SBs 1–8 of the LMB

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Summary

Introduction

The Lower Mekong Basin (LMB) is a region in the southeast Asia known for its agriculture, forests, fisheries, wildlife, and diverse, natural ecosystems [Mekong River Commission MRC (2010)]. The LMB human inhabitants are experiencing multiple environmental threats to their ways of life that include land use land cover (LULC) change (e.g., from river damming, agricultural expansion, and deforestation) and frequent natural disasters (e.g., flooding from severe storms, and drought). The drivers of LULC change in the region include anthropogenic (e.g., economic and demographic) and environmental factors (Tran et al, 2015). Both negative and positive forest change drivers occur, which can collectively affect the amount of agricultural expansion and contraction, well as the amount of deforestation and afforestation (Costenbader et al, 2015a,b; Imai et al, 2018). Climate change in the LMB is regarded as a threat to agriculture (MRC, 2010; MRC, 2014; Pokhrel et al, 2018a) and forests (Estoque et al, 2019)

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