1998—2012年黄河流域植被覆盖变化时空分析

doi:10.7522/j.issn.1000-694X.2013.00353

摘要/Abstract

摘要： 利用黄河流域1998—2012年SPOT-NDVI数据及同期119个气象站的降水数据，计算每个像元的NDVI变化趋势，并结合植被降水利用效率来分析近15年来黄河流域植被覆盖的时空变化特征。结果表明：（1）多年平均的植被指数有明显的空间差异性，随着纬度的增加，NDVI平均值呈降低趋势；（2）从时间序列来看，黄河流域的植被覆盖呈逐年增加趋势，其中黄河上游NDVI值增长最为缓慢，中游保持稳定增长，下游增长最快；（3）近15年来黄河流域植被覆盖的改善区域面积大于退化区域，植被恢复明显。最后，结合NDVI变化趋势和植被降水利用效率对上述结果进行了验证。

关键词: 植被覆盖, 植被降水利用效率, GIS, RS, 黄河流域

Abstract: According to the time-series NDVI data from 1998 to 2012 and the precipitation data from 119 Weather stations around the study area,calculate the changes of vegetation cover from 1998 to 2012 years in the Yellow River Basin,and combined with RUE to analyzes the main characteristics,temporal-spatial distribution and changes of vegetation restoration from 1998 to 2012 years in the Yellow River Basin. Results shows: (1) the average vegetation cover exhibited spatial heterogeneity.With the increase of latitude,the average NDVI showed a trend of decrease; (2) The value of NDVI had a fluctuation change trend during the past 15 years,but on the whole there still was a significant increased trend of vegetation cover in the Yellow River Basin.The trends of the upper basin increased slowly,the middle basin keep quiet,the lower basin increased quickly; (3) The area of vegetation degradation region less than vegetation recovery region in the Yellow River Basin during the past 15 years. Finally, combined NDVI and PUE to identify the conclusion.

Key words: vegetation cover, rainfall use efficiency, GIS, RS, Yellow River Basin

中图分类号:

P935.1

张亚玲, 苏惠敏, 张小勇. 1998—2012年黄河流域植被覆盖变化时空分析[J]. 中国沙漠, 2014, 34(2): 597-602.

Zhang Yaling, Su Huimin, Zhang Xiaoyong. The Spatial-temporal Changes of Vegetation Restoration in the Yellow River Basin From 1998 to 2012[J]. JOURNAL OF DESERT RESEARCH, 2014, 34(2): 597-602.

参考文献

[1] 刘国华,傅伯杰,陈利顶,等.中国生态退化的主要类型\,特征及分布[J].生态学报,2000,20(1):13-19.
[2] 王思远,王光谦,陈志祥,等.黄河流域生态环境综合评价及其演变[J].山地学报,2004,22(2):133-139.
[3] 孙永军,周强,杨日红,等.黄河流域土地荒漠化动态变化遥感研究[J].国土资源遥感,2008,(2):74-78.
[4] 潘耀忠,李晓兵,何春阳,等.中国土地覆被综合分类研究——基于NOAA/AVHRR和Holdridge[J].第四纪研究,2000,20(3):270-281.
[5] 李双双,延军平,万佳,等.近10年陕甘宁黄土高原植被覆盖时空变化特征[J].地理学报,2012,67(7):966-970.
[6] 黄森旺,李晓松,吴炳方,等.近25年来\!三北\"防护林工程区土地退化及驱动力分析[J].地理学报,2012,67(5):589-598.
[7] 戴声佩,张勃,王海军,等. 基于SPOT NDVI的祁连山草地植被覆盖时空变化趋势分析[J].地理科学进展,2010,29(9):1075-1080.
[8] 齐清,王天明,寇晓军,等.泾河流域植被覆盖时空演变及其与降水的关系[J].植物生态学报,2009,33(2):246-253.
[9] Nicholson S E,Tucker C J,Ba M B.Desertification,drought,and surface vegetation:an example from the West African Sahel[J].Bulletin of the American Meteorological Society,1998,79(5):1-15.
[10] 侯光雷,张洪岩,郭聃,等.长白山区植被生长季NDVI时空变化及其对气候因子敏感性[J].地理科学进展,2012,31(33):285-292.
[11] 高智海,李增元,丁国栋,等.基于植被降水利用效率的荒漠化遥感评价方法[J].中国水土保持科学,2005,3(2):37-41.
[12] Verstrate M M,Pinty B.The potential contribution of satellite remote sensing to the understanding of arid lands processes[J].Vegetation,1991,91(1/2):59-72.
[13] 姚玉璧,王毅荣,李耀辉,等.中国黄土高原气候暖干化及其对生态环境的影响[J].资源科学,2005,27(5):146-152.
[14] 宋怡,马明国.基于SPOT VEGETATION数据的中国西北植被覆盖变化分析[J].中国沙漠,2007,27(1):89-93.
[15] Bai Z G,Dent D L,Olsson L,et al.Global Assessment of Land Degradation and Improvement.1.Identification by Remote Rending[R].Report 2008/01.Wageningen:ISRIC-World Soil Information,2008.
[16] Bai Y F,Wu J G,Xing Q,et al.Primary production and rain use efficiency across a precipitation gradient on the Mongolia Plateau[J].Ecology,2008,89(8):2140-2153.
[17] 杜加强,舒俭民,张林波.基于植被降水利用效率和NDVI的黄河上游地区生态退化研究[J].生态学报,2012,32(11):3404-3413.
[18] 韩海辉,杨太保,王艺霖.近30年青海贵南县土地利用与景观格局变化[J].地理科学进展,2009,28(2):207-215.
[19] 郄妍飞,颜长珍,宋翔,等.近30 a黄河源地区荒漠遥感动态监测[J].中国沙漠,2008,28(5):405-409.
[20] 沙占江,马海州,李玲琴,等.共和盆地龙羊峡库区1987—1999年间土地覆被变化过程[J].中国沙漠,2005,25(1):20-26.
[21] 封建民,李晓华.近15年来共和盆地土地沙质荒漠化动态变化及原因分析[J].水土保持研究,2010,17(5):129-133.
[22] 张国利,腾秀丽.白银地区天然草地组成及其退化特征的调查分析[J].草业科学,2005,16(6):16-19.