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中国沙漠 ›› 2020, Vol. 40 ›› Issue (6): 82-90.DOI: 10.7522/j.issn.1000-694X.2020.00074

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1980-2015年阿拉善盟沙地面积变化及其驱动因子

常亚斌1(), 朱睿1(), 肖生春2, 李雅培1   

  1. 1.兰州交通大学 测绘与地理信息学院/地理国情监测技术应用国家地方联合工程研究中心/甘肃省地理国情监测工程实验室,甘肃 兰州 730000
    2.中国科学院西北生态环境资源研究院 内陆河流域生态水文重点实验室,甘肃 兰州 730000
  • 收稿日期:2020-03-19 修回日期:2020-07-07 出版日期:2020-12-09 发布日期:2020-12-09
  • 通讯作者: 朱睿
  • 作者简介:朱睿(E-mail: zhur@mail.lzjtu.cn)
    常亚斌(1994—),女,甘肃庆阳人,硕士研究生,主要从事荒漠化及土地利用/覆被变化研究。E-mail: 0218722@stu.lzjtu.edu.cn
  • 基金资助:
    国家重点研发计划重点专项(2016YFC0501001);兰州交通大学优秀平台支持项目(201806)

Sandy land change from 1980 to 2015 in Alxa League, China and its driving factors

Yabin Chang1(), Rui Zhu1(), Shengchun Xiao2, Yapei Li1   

  1. 1.Faculty of Geomatics / National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring / Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou Jiaotong University,Lanzhou 730000,China
    2.Key Laboratory of Ecohydrology of Inland River Basin,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
  • Received:2020-03-19 Revised:2020-07-07 Online:2020-12-09 Published:2020-12-09
  • Contact: Rui Zhu

摘要:

土地沙化是干旱区、半干旱区重要的生态环境问题,探究土地沙化影响因子并厘清其驱动机制是防治土地沙化的基础。分析了1980—2015年阿拉善盟沙地面积变化特征,进而基于地理探测器模型分析了阿拉善盟沙地分布的自然、人为驱动因子,并探究了驱动因子两两间的相互作用强度,定量描述了各驱动因子对阿拉善盟沙地分布的影响程度,同时探测了2000—2015年阿拉善盟沙地变化的驱动因子影响力。结果表明:(1)以2000年为界限,阿拉善盟沙地面积先增后减。(2)影响阿拉善盟沙地空间分布的驱动因子,自然因子大于人为因子,且各驱动因子独立作用影响力小于两因子交互后共同作用。(3)沙化概率大于50%的区域为沙化风险区域。(4)2000—2015年阿拉善盟沙地变化的驱动因子中单因子影响力人为因子略微占优,但沙地的变化是人为与自然因子共同作用的结果。

关键词: 沙地, 驱动因子, 地理探测器, 阿拉善盟, 土地利用变化

Abstract:

Land desertification is an important eco-environment problem in arid and semi-arid regions. It is the basis of preventing and controlling land desertification to explore the influencing factors of land desertification and clarify its driving mechanism. In this paper, we assessed spatial distribution characteristics of sandy land by analysis of land use change from 1980 to 2015 in the Alxa League, and analyzed the natural and human driving factors of sandy land distribution by Geodetector, and explored the interaction between the driving factors, and quantitatively described the degree of the driving factors influence on the sand distribution in the Alxa League. At the same time, the influence of driving factors on sandy land transformation in Alxa League from 2000 to 2015 was detected. The results show that: (1) The sandy land first increased before 2000 and then decreased. (2) The influence of natural factors affecting the spatial distribution of sandy land are greater than human factors, and the independent influence of each driving factor is less than the interaction between the two factors. (3) The area with desertification probability greater than 50% was desertification risk area. (4) From 2000 to 2015, the single factor influence of the driving factors of the transformation of sandy land was slightly dominated by human factors, but the transformation of sandy land was the result of the joint action of human and natural factors.

Key words: sandy land, driving factor, GeoDetector, Alxa League, land use change

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