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基于MODIS NDVI的贵州省植被退化及归因
引用本文:马士彬,杨广斌,安裕伦,张勇荣.基于MODIS NDVI的贵州省植被退化及归因[J].中国岩溶,2019,38(2):227-232.
作者姓名:马士彬  杨广斌  安裕伦  张勇荣
作者单位:1.贵州师范大学地理与环境科学学院,贵阳 550001/贵州省山地资源与环境遥感应用重点实验室,贵阳 550001/六盘水师范学院旅游与历史文化学院,贵州 六盘水 553004
基金项目:国家自然科学基金项目(41361091);贵州省教育厅自然科学研究重点项目(黔教合KY字[2013]173号);贵州省科技合作计划项目(黔科合LH字[2015]7610号)
摘    要:为了解森林退化的原因,利用2000-2015年的MODIS NDVI数据,在分析贵州省植被变化趋势的基础上识别了归一化植被指数(NDVI)显著下降的区域,并在NDVI显著下降区选取面积大于10 km2的森林图斑为兴趣区,分析其内气候变化趋势及对森林NDVI值的影响。研究表明:197个兴趣区主要分布在贵州省西北部的赤水—习水、东北部的梵净山和东南部的非喀斯特区域;区内春、夏季NDVI变化趋势与年NDVI值变化趋势一致,下降速率达到-0.01·yr-1,冬季与其他季节变化趋势相反,呈不显著升高趋势;区内春季和夏季气温升高显著,降水和日照时间无明显变化,整体气候变化呈暖干趋势;夏季温度升高是NDVI降低的主要驱动因素。 

关 键 词:植被退化    MODIS  NDVI    气候变化    季节    贵州

Reasons of vegetation degradation in the Southwest China Guizhou Province base on MODIS NDVI data
MA Shibin,YANG Guangbin,AN Yulun and ZHANG Yongrong.Reasons of vegetation degradation in the Southwest China Guizhou Province base on MODIS NDVI data[J].Carsologica Sinica,2019,38(2):227-232.
Authors:MA Shibin  YANG Guangbin  AN Yulun and ZHANG Yongrong
Abstract:Guizhou Province is located in southwest China, a typical subtropical karst landscape area bordering on Sichuan, Yunnan, Guangxi, Hunan and Chongqing, and is an important ecological barrier in the upper reaches of Pearl River and Yangtze River. Its ecological functions such as water, soil and biodiversity conservations are closely related to the forest ecosystem of the province. The recent years, the forest coverage in Guizhou Province has increased significantly, but in some regions such as Chishui-Xishui area it has decreased drastically. The aim of this study is to examine the major factors that has been driving the forest degradation (expressed in vegetation cover) in the province. In this study, the Mann-kendall change detection method was employed to calculate statistical trends in the Normalized Difference Vegetation Index (NDVI-a spectral index representing vegetation cover), using a 16-year MODIS time series between 2000 and 2015, to identify areas where vegetation cover has significantly decreased (z>2.36,P<0.01). For this purpose, 197 land areas with significant NDVI decrease were selected in the conditions of unchanged forestland type from 2000 to 2015 and each piece of the land size was greater than 10 km2. Pearson correlation coefficients of climate and forest NDVI values for the 197 land areas of interest were calculated to reflect the response of vegetation NDVI to climate change,which include the mean annual and seasonal values, respectively. The 197 Region Of Interest (ROI) are mainly distributed in Chishui-Xishui in the northwest, Mountain Fanjingshan in the northeast and non-karst areas in the southeast of Guizhou Province.The results showed that the NDVI annual mean decrease rate in the ROI is -0.006 per year and the variation rate of NDVI between grids in the all ROI is small. The trend of NDVI change in spring and summer is consistent with the annual NDVI at a rate of -0.01 per year from 2000 to 2015. However, the trend of NDVI change in winter is not significantly increasing. The temperature increases significantly in spring and summer, whereas the precipitation and sunshine time do not change significantly, and the overall climate change has shown a warm and dry trend in the study area during the last 16 years. The core-density analysis of the correlation coefficient shows that the increase of summer temperature is the main driving factor for the decrease of NDVI, which may be due to the increase in temperature that promotes soil evaporation, resulting in the decrease of soil moisture and thus inhibiting the growth of vegetation. 
Keywords:vegetation degradation  MODIS NDVI  climate change  season  Guizhou  Province
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