摘要
卫星遥感获取的归一化植被指数(NDVI)可以指示地表绿度和植被覆盖特征,被广泛应用于大尺度地表植被活动的监测和评估。基于2000─2014年的328景MODIS/NDVI时间序列数据,采用基于栅格像元的趋势分析和稳定性分析方法,深入分析了2000年以来山东省不同区域植被覆盖和绿度变化特征。结果表明,(1)近15年山东省植被年平均NDVI和春季NDVI都呈现显著增加趋势(P<0.01),NDVI的增加趋势与降水量的年际变化关系显著(P<0.05);由于城市化进程加剧,生长季绿色植被面积显著减少,平均每年减少243 km^2。(2)NDVI变化趋势具有明显的空间差异,鲁西农业区植被与黄河三角洲以及南四湖的湿地植被变化趋势相反,农田植被绿度有增加趋势,湿地植被绿度下降明显。这一趋势差异与不同植被类型对于降水年际变化的响应差异有关。(3)由于不同植被类型对于自然和人为活动干扰的适应能力不同,不同地区的植被覆盖在时间序列上表现出不同的稳定性。植被稳定性的排序为:农田植被>森林灌木植被>湿地植被。说明湿地植被对于环境变化的响应最敏感,而人为管理的农田植被的抗干扰能力最强。本研究对于了解山东省植被覆盖变化格局特征和评估不同生态系统的气候变化响应具有积极作用。
The normalized difference vegetation index (NDVI) obtained from satellite remote sensing can indicate the change characteristics of vegetation coverage and greenness. NDVI has been widely used in monitoring vegetation activity at large scale. The vegetation spatial and temporal variation characteristics in Shandong province was analyzed using the 328 tiles MODIS/NDVI images of 2000─2014 with the least square method and linear fitting of the time series at every pixel of image. The results are as followed: (1) Vegetation annual NDVI and spring NDVI in Shandong province increased significantly (P<0.01). The precipitation variation results in the increase of NDVI (P<0.05). But because of the increasing urbanization in Shandong province, the vegetation area in growing season decreased significantly with the reduction rate of 243 km2per year since 2000. (2) The change of NDVI showed obvious spatial difference. The change trends between farmland in west Shandong and wetland vegetation in Yellow River delta and Nansi Lake are opposite. The farmland vegetation has being improved and wetland vegetation has being degenerated gradually. The opposite trend was related to vegetation’s different responses to annual precipitation variation in Shandong province. (3) Due to different vegetation’s adaptabilities to different natural and human disturbance, they owned different stabilities. The stability rank of mainly vegetation types was: farmland > forest and shrub > wetland vegetation. This suggested that wetland vegetation’s response to environmental changes was the most sensitive, and farmland vegetation owned the best anti–jamming capability. This study will play an important role in understanding the changes of vegetation coverage and estimating ecosystem’s response to climate change in Shandong province.
出处
《生态环境学报》
CSCD
北大核心
2015年第11期1799-1807,共9页
Ecology and Environmental Sciences
基金
国家社会科学基金青年项目(14CJY077)
河北省科技计划项目(14293703D)
教育部人文社会科学研究青年基金项目(12YJCZH120)
关键词
植被
时空变化
NDVI
MODIS
降水量
山东省
vegetation
spatial and temporal variation
NDVI
MODIS
precipitation
Shandong province
作者简介
于泉洲（1983年生）,男,讲师,中国生态学学会会员（S281001166S）,博士,主要从事生态环境遥感研究.E-mail：yuquanzhou2008@126.com
梁春玲（1982年生）,女,讲师,博士,主要从事湿地生态系统服务方面的研究.E-mail：guliang1229@126.com
