img

官方微信

高级检索

中国沙漠 ›› 2018, Vol. 38 ›› Issue (1): 17-29.DOI: 10.7522/j.issn.1000-694X.2017.00086

• 沙漠与沙漠化 • 上一篇    下一篇

1975-2015年阿拉善高原沙漠化过程、格局与驱动机制

万炜1,2, 颜长珍1, 肖生春1, 谢家丽1, 钱大文1,2   

  1. 1. 中国科学院西北生态环境资源研究院, 甘肃 兰州 730000;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2017-10-10 修回日期:2017-12-10 出版日期:2018-01-20 发布日期:2018-01-20
  • 作者简介:万炜(1992-),男,江西景德镇人,硕士研究生,从事遥感应用、沙漠化与沙漠环境及土地利用/覆被变化方面的研究。E-mail:wanwei@lzb.ac.cn
  • 基金资助:
    国家重点研发计划课题(2016YFC0501001,2016YFC0500201);国家重点基础研究发展计划项目(2013CB429901);国家自然科学基金面上项目(41171400)

Process, Spatial Pattern and Driving Mechanisms of the Aeolian Desertification in the Alxa Plateau from 1975 to 2015

Wan Wei1,2, Yan Changzhen1, Xiao Shengchun1, Xie Jiali1, Qian Dawen1,2   

  1. 1. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2017-10-10 Revised:2017-12-10 Online:2018-01-20 Published:2018-01-20

摘要: 以遥感(RS)数据与地理信息系统(GIS)研究手段得到阿拉善高原1975、1990、1995、2000、2005、2010、2015年共7期的沙漠化成因类型及沙漠化程度数据。在此基础上,首先分析了阿拉善高原近40年来沙漠化成因类型及沙漠化程度的面积和分布变化;再通过沙漠化指数(ADI)定量分析出阿拉善高原沙漠化程度整体上以2000年为界,呈现先恶化后逆转的趋势;通过重心迁移模型揭示了阿拉善高原不同沙漠化类型的空间变化规律;通过空间叠合分析发现了阿拉善高原沙漠化动态变化的热点分布区域;最后通过主成分分析(PCA)定量甄别阿拉善高原沙漠化的自然及人为驱动力因素,发现近40年(特别是2000年以来),人为因素(人口压力、畜牧垦殖、植树造林、工矿开发等)是阿拉善高原沙漠化动态变化最主要的驱动因素,气候变化(降水量、气温、最大风速)则是该区域沙漠化动态变化的另一重要驱动因素。

关键词: 阿拉善高原, 沙漠化, 驱动机制, 遥感监测, 过程与格局

Abstract: A total of 7 dataset were obtained about genetic types and degree of aeolian desertification in 1975, 1990, 1995, 2000, 1995, 2010 and 2015 in the Alxa Plateau using Remote Sensing (RS) images and Geographic Information System (GIS). We analyzed the genetic types, area and spatial distribution changing about degree of aeolian desertification in the Alxa Plateau in recent 40 years. And we investigated aeolian desertification degree in the Alxa Plateau with aeolian desertification index (ADI) quantificationally, which suggested that it was deteriorative before 2000 and then began to take a favorable turn after 2000. Besides, the spatial variation patterns about the different types of aeolian desertification was investigated by the model of center of gravity migration, and the hotspots distribution of aeolian desertification dynamics by overlay analysis in the Alxa Plateau. Finally, natural and human driving factors were quantified and identified with principal component analysis (PCA). The results showed that in recent 40 years (especially since 2000), human factors, including population pressure, animal husbandry and cultivation, afforestation, industrial and mining exploitation, were major driving factors influencing the aeolian desertification dynamics in the Alxa Plateau. Another critical driver was climate change (rainfall, temperature and the maximum wind speed) in this region.

Key words: Alxa Plateau, aeolian desertification, driving mechanism, remote sensing monitoring, process and pattern

中图分类号: