img

官方微信

高级检索

中国沙漠 ›› 2013, Vol. 33 ›› Issue (6): 1643-1653.DOI: 10.7522/j.issn.1000-694X.2013.00240

• 沙漠与沙漠化 • 上一篇    下一篇

多水平/尺度的驱动力变化与沙漠化之间的关系——以内蒙古乌审旗为例

张 靖1,2, 牛建明1,3, 同丽嘎4, 张雪峰1   

  1. 1.内蒙古大学 生命科学学院, 内蒙古 呼和浩特 010021;
    2.大连民族学院 环境与资源学院, 辽宁 大连 116600;
    3.内蒙古大学 中美生态、能源及可持续性科学内蒙古研究中心, 内蒙古 呼和浩特 010021;
    4.包头师范学院 资源与环境学院, 内蒙古 包头 014030
  • 收稿日期:2012-09-12 修回日期:2012-11-15 出版日期:2013-11-20 发布日期:2012-11-15

A Multilevel/Multiscale Analysis of the Impact of Land Use Drivers on Desertification: A case study of Uxin Banner, Inner Mongolia, China

ZHANG Jing1,2, NIU Jian-ming1,3, Tongliga4, ZHANG Xue-feng1   

  1. 1.College of Life Sciences, Inner Mongolia University, Hohhot 010021, China;
    2.School of Environment and Resource, Dalian Nationalities University, Dalian 116600, Liaoning, China;
    3.Sino-US Center for Conservation, Energy, and Sustainability Science, Inner Mongolia University, Hohhot 010021, China;
    4.Faculty of Resources and Environment, Baotou Teachers College, Baotou 014030, Inner Mongolia, China
  • Received:2012-09-12 Revised:2012-11-15 Online:2013-11-20 Published:2012-11-15

摘要:

沙漠化是土地退化形式之一,它是自然因素和人类活动相互作用的结果。本文以内蒙古乌审旗为研究区,在多种空间数据基础上,基于等级理论,使用多水平统计模型构建了从局地到区域的模型,揭示不同尺度的影响因素与该地区沙漠化的关系。对遥感影像的分析表明该地区1977—2007年沙漠化扩展的趋势减缓并逆转;多水平统计模型分析表明,多尺度的驱动因素可以解释该地区近30年的沙漠化变化,特别是政策因素对该地区沙漠化逆转影响较大。本研究可为乌审旗及类似地区沙漠化变化机理研究提供参考。

关键词: 多水平统计模型, 尺度, 沙漠化, 土地利用政策, 乌审旗

Abstract:

Desertification, which is referred to land degradation in drylands, is often triggered by human activities and natural factors. To understand how land use changes and their drivers influence long-term land cover dynamics we used remote sensing data and multilevel statistical model to analyze spatio-temporal patterns of desertification in the Uxin Banner of Inner Mongolia, China. We found that desertification-induced land degradation expanded during the 1977-1987, but this process reversed during 1987-2007. Multilevel statistical modeling results suggest rural population density, the density of livestock, and accessibility to markets all have significant effects on desertification reversion at the local level, while changes in precipitation and land use policies are important at the region level. Particularly, were found land use policies were principal drivers of vegetation recovery. We therefore conclude that multilevel statistical model is effective and practical tool for understanding mechanisms of land degradation in Uxin Banner and other similar regions.

Key words: multilevel statistical model, scale, desertification, land use policy, Uxin Banner

中图分类号: