泰国东北部地区植被绿度对于气候变化响应模拟(英文)

编号 zgly0001585386

文献类型 期刊论文

文献题名 泰国东北部地区植被绿度对于气候变化响应模拟(英文)

作者 WatineeTHAVORNTAM  NetnapidTANTEMSAPYA 

作者单位 DepartmentofEnvironmentalEngineering  KhonKaenUniversity  ResearchCenterforEnvironmentalandHazardousSubstanceManagement  KhonKaenUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2013年06期

年份 2013 

分类号 P461.7 

关键词 NormalizedDifferenceVegetationIndex(NDVI)  vegetationgreenness  climatevariability  modeling 

文摘内容 In Northeast Thailand,the climate change has resulted in erratic rainfall and temperature patterns. The region has experienced both periods of drought and seasonal floods with the increasing severity. This study investigated the seasonal variation of vegetation greenness based on the Normalized Difference Vegetation Index(NDVI) in major land cover types in the region. An assessment of the relationship between climate patterns and vegetation conditions observed from NDVI was made. NDVI data were collected from year 2001 to2009 using multi-temporal Terra MODIS Vegetation Indices Product(MOD13Q1). NDVI profiles were developed to measure vegetation dynamics and variation according to land cover types. Meteorological information,i.e. rainfall and temperature,for a 30 year time span from1980 to 2009 was analyzed for their patterns. Furthermore,the data taken from the period of2001-2009,were digitally encoded into GIS database and the spatial patterns of monthly rainfall and temperature maps were generated based on kriging technique. The results showed a decreasing trend in NDVI values for both deciduous and evergreen forests. The highest productivity and biomass were observed in dry evergreen forests and the lowest in paddy fields. Temperature was found to be increasing slightly from 1980 to 2009 while no significant trends in rainfall amounts were observed. In dry evergreen forest,NDVI was not correlated with rainfall but was significant negatively correlated with temperature. These results indicated that the overall productivity in dry evergreen forest was affected by increasing temperatures. A vegetation greenness model was developed from correlations between NDVI and meteorological data using linear regression. The model could be used to observe the change in vegetation greenness and dynamics affected by temperature and rainfall.