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应用生态学报 ›› 2010, Vol. 21 ›› Issue (08): 2109-2116.

• 研究报告 • 上一篇    下一篇

生态恢复背景下陕北地区植被覆盖的时空变化

王 朗1,2,傅伯杰1**,吕一河1,曾 源3   

  1. 1中国科学院生态环境研究中心,北京 100085;2中国科学院研究生院,北京 100049;3中国科学院遥感应用研究所,北京 100101
  • 出版日期:2010-08-18 发布日期:2010-08-18

Spatio-temporal variations of vegetation cover in northern Shaanxi Province under the background of ecological restoration.

WANG Lang1, 2, FU Bo-jie1, LÜ|Yi-he1, ZENG Yuan3   

  1. 1Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China|2Graduate University of Chinese Academy of Sciences, Beijing 100049, China|3Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
  • Online:2010-08-18 Published:2010-08-18

摘要: 基于2000—2008年的MODIS影像,通过归一化植被指数(NDVI)像元二分模型对退耕还林(草)、水土流失综合治理等生态恢复措施驱动下陕北黄土高原生态脆弱区的植被覆盖度进行了动态评估.结果表明:2000—2008年,陕北地区植被覆盖度年内呈波动趋势,3月的植被覆盖度最差,8月最好;植被覆盖度空间分布的总体趋势是从西北向东南逐渐增加;年最大植被覆盖度在研究期间表现为明显增加;植被覆盖度组成中,低等植被覆盖度面积减少,中等植被覆盖度面积增加;植被覆盖度增加地区的面积占全区一半以上,以研究区东北部尤为明显.研究区植被覆盖度的显著增加是气候和人为因素综合作用的结果,一定程度上反映了生态恢复重建措施的有效性.像元二分模型可以准确模拟区域尺度上植被覆盖度的时空变化趋势,在区域植被恢复效果定量监测与评估方面具有适用性.

关键词: 植被覆盖度, 像元二分模型, 时空变化, 遥感, 生态恢复, 陕北, 根系特性, 矿物钾活化量, 植物高钾机理

Abstract: Based on the 2000-2008 MODIS-NDVI images and using dimidiate pixel model, a dynamic evaluation was made on the vegetation coverage in northern Shaanxi Province, one of the ecologically fragile area in China, under the backgrounds of returning farmland to forestland and grassland and of the integrated management of soil and water loss. In 2000-2008, the vegetation coverage in the study area fluctuated within a year, being the highest in August and the lowest in March, and showed an increasing trend from the northwest to the southeast. The annual maximum vegetation coverage had a pronounced increase, but the area of medium and high coverage increased while that of low coverage decreased. The increased area of vegetation coverage occupied more than half of the study area, especially in the northeast. Climate features and human activities were the main causes inducing the pronounced increase of vegetation coverage, reflecting to a certain extent the effectiveness of ecological restoration efforts. The dimidiate pixel model based on the MODISNDVI images could well and truly simulate the spatiotemporal variation trend of the vegetation cover in northern Shaanxi, and be applicable to quantitatively estimate and evaluate the effectiveness of vegetation restoration at regional scale.

Key words: vegetation coverage, dimidiate pixel model, spatiotemporal variation, remote sensing, ecological restoration, northern Shaanxi Province, root characteristics, available potassium releasing from mineral, mechanism of potassiumenriched.