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生态学杂志 ›› 2010, Vol. 29 ›› Issue (10): 1912-1918.

• 研究报告 • 上一篇    下一篇

安徽省近十年植被指数时空变化特征

何彬方1,2**,冯 妍1,2,吴文玉1,2,范 伟1,2   

  1. 1安徽省气象科学研究所,合肥 230031|2安徽省大气科学与卫星遥感重点实验室,合肥 230031
  • 出版日期:2010-10-08 发布日期:2010-10-08

Recent ten years spatiotemporal variation characteristics of vegetation index in Anhui Province.

HE Bin-fang1,2, FENG Yan1,2, WU Wen-yu1,2, FAN Wei3   

  1. 1Institute of Meteorological Science of Anhui, Hefei 230031, China|2Anhui Key Laboratory of Atmospheric Science and Satellite Remote Sensing,Hefei 230031, China
  • Online:2010-10-08 Published:2010-10-08

摘要: 利用2000—2009年的MODIS数据,研究安徽省近10年来植被指数在时间和空间上的变化。结果表明:近10年来,安徽省年平均NDVI趋势总体增加,但空间分布上有差异,局部地区的植被指数趋于减少,其他大部分地区的植被活动在增强;植被指数的月际变化呈弱双峰型,最大值出现在8月,最小值出现在1月;从各季节的线性拟合斜率来看,春季的植被指数增加最快,秋季次之,冬季最低;安徽省的大别山区和皖南山区的植被指数年际标准差和变异系数比较小,表明山区的林地植被指数变化不明显,受外界干扰较小;沿淮的粮食种植区的植被指数标准差和变异系数较大,植被指数年际变化较大,受人为活动干扰强烈。

关键词: 涝渍地, 梯级分布, 梯级开发模式

Abstract: Based on the 2000-2009 MODIS data, this paper analyzed the spatiotemporal variation of Normalized Difference Vegetation Index (NDVI) in Anhui Province. In the recent ten years, the annual average NDVI in the province increased, but had some differences in its spatial distribution, i.e., tended to be decreased in parts and increased in most regions. The monthly variation of the index presented weak double-peak pattern, with the maximum in August and the minimum in January. Based on the linear slope of the index in each season, the fastest increase was in spring, followed by in autumn, and the slowest in winter. In Dabie Mountain and southern mountainous area of Anhui Province, the interannual standard deviation and coefficient of variation of the index were smaller, indicating that the index had no significant change in mountainous area due to be less affected by outside interferences. Oppositely, the interannual standard deviation and coefficient of variation of the index in the grain production areas along Huaihe River were larger, which meant that human activities contributed more to the changes of the index.

Key words: Waterlogged land, Step divergence, "Development in a step way" model