首页> 外文期刊>Land Use Policy >Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015
【24h】

Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015

机译:在1975年至2015年间,识别中国西泠印社

获取原文
获取原文并翻译 | 示例
           

摘要

Land degradation occurs in all kinds of landscapes over the world, but the drivers of land degradation vary from region to region. Identifying these drivers at the appropriate spatial scale is an essential prerequisite for developing and implementing appropriate area-specific policies. In this study, we investigate nine different driving factors in three categories: human disturbance, water condition, and urbanisation. Using partial order theory and the Hasse diagram technique, we analyse the temporal and spatial dynamics of these drivers and identify the major drivers of land degradation at the county level in the Xilingol League, China. Our findings indicate that: (i) in eight out of the region's 12 counties, human disturbance was the dominant driver responsible for land degradation up to 2000, followed by water conditions, while urbanisation was the dominant driver in only four counties; (ii) the effects resulting from human disturbance and water availability decreased after 2000, while urbanisation became the dominant driver for land degradation in seven counties. The influence of human disturbance in this region has decreased, which suggests that ecological protection policies that were designed to control population and livestock numbers have worked as intended for this region. However, land degradation has continued and new policy measures are required to ease the effect of urbanisation.
机译:土地退化发生在世界各类景观中,但土地退化司机因地区而异。以适当的空间规模确定这些驱动因素是制定和实施适当的区域特定政策的必要先决条件。在这项研究中,我们调查了三类不同的驾驶因子:人类干扰,水状况和城市化。采用部分订单理论和哈斯图技术,我们分析了这些司机的时间和空间动态,并确定了中国西泠馆联赛县级土地退化的主要驱动因素。我们的调查结果表明:(i)在该地区的12个县中的八个中,人类的干扰是负责2000年的土地退化负责的主导司机,其次是水条件,而城市化是仅有四个县的主要司机; (ii)2000年后人类干扰和水可用性导致的效果降低,而城市化成为七个县的土地退化的主导驱动因素。人为干扰在该地区的影响已经下降,这表明旨在控制人口和牲畜数量的生态保护政策就像该地区一样工作。但是,土地退化持续,需要新的政策措施来缓解城市化的效果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号