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南方丘陵山地带NDVI时空变化及其驱动因子分析
引用本文:王静,王克林,张明阳,段亚锋.南方丘陵山地带NDVI时空变化及其驱动因子分析[J].资源科学,2014,36(8):1712-1723.
作者姓名:王静  王克林  张明阳  段亚锋
作者单位:中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙410125;中国科学院环江喀斯特农业生态系统观测研究站, 环江547100;中国科学院大学, 北京100049;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙410125;中国科学院环江喀斯特农业生态系统观测研究站, 环江547100;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙410125;中国科学院环江喀斯特农业生态系统观测研究站, 环江547100;长沙市环境监测中心站, 长沙410000
基金项目:国家自然科学基金:“基于样地观测与尺度转换的喀斯特区植被碳空间分异研究”(编号:31370484);全国生态环境十年(2000-2010年)变化遥感调查与评估:“南方丘陵山地带生态环境调查与评估”(编号:STSN-09-05)。
摘    要:本文利用MODIS归一化植被指数(Normailized Difference Vegetation Index,NDVI)数据对南方丘陵山地带2000-2010年间植被覆盖的年际动态、季相变化和空间差异进行研究,并结合气象因子和土地利用/覆被数据分析植被覆盖变化的原因。研究表明:南方丘陵山地带植被NDVI值较高,属高植被覆盖区。2000-2010年间植被NDVI整体呈上升趋势,但并不显著(p=0.45)。从不同植被类型的季相变化来看,草地的变化幅度最大,其次为灌丛,森林植被变化幅度最小,生长峰值主要出现在8、9月份。植被覆盖变化存在显著的空间差异,封山育林、退耕还林还草生态恢复区和石漠化综合治理区的植被覆盖度显著提高,城镇化迅速发展区植被明显退化。植被覆盖变化是气候和人类活动共同作用的结果。植被覆盖年际变化与气候因子年际变化的相关系数区域分异比较明显。降水量对植被覆盖的影响主要表现在对植被生长年内变动的控制,大部分植被生长对降水存在1个月滞后现象。农业生产的提高、城市化进程的加速及生态建设的重视等人类活动是影响植被覆盖变化空间差异的另一重要因素。

关 键 词:NDVI  植被覆盖  气候变化  土地利用变化  南方丘陵山地带

Temporal-Spatial Variation in NDVI and Drivers in Hilly Terrain of Southern China
WANG Jing,WANG Kelin,ZHANG Mingyang and DUAN Yafeng.Temporal-Spatial Variation in NDVI and Drivers in Hilly Terrain of Southern China[J].Resources Science,2014,36(8):1712-1723.
Authors:WANG Jing  WANG Kelin  ZHANG Mingyang and DUAN Yafeng
Institution:Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;University of Chinese Academy of Sciences, Beijng 100049, China;Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;Changsha Environmental Monitoring Center Station, Changsha 410000, China
Abstract:Remote sensing data, MODIS NDVI from 2000 to 2010, annual dynamics, seasonal change and spatial variability in vegetation cover in hilly terrain of southern China was investigated. The causes of vegetation cover change were analyzed, considering climate change and human activities. Vegetation cover in hilly terrain of southern China was high and improved with fluctuations from 2000 to 2010. The response of NDVI to seasonal change varied with vegetation type. Grassland showed huge variation, while forest had the lowest change. The peak time of vegetation occurred in August or September. Vegetation cover change was spatially variable. Vegetation cover has increased in the ecological restoration zone, however, vegetation cover has decreased in the region because of rapid urbanization. The change in vegetation cover was the result of combined effects of climate variation and land use change. Correlation coefficients between interannual variation in NDVI and interannual variation in climate factors have apparent spatial differentiation. There was a significant correlation between temperature and vegetation cover, and temperature has controlled annual variation of vegetation growth and prolonged the growth period of vegetation. Precipitation was a controlling factor of seasonal change in vegetation growth, and a one-month lag in precipitation was positively correlated with vegetation growth. Change in land use was an important factor for vegetation spatial variation, and the implementation of large-scale vegetation construction has led to some beneficial effects in ecology, such as the Grain for Green Program and karst rocky desertification control project.
Keywords:NDVI  vegetation cover  climate change  land use change  hilly terrain  Southern China
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