地理学报

地理学报 ›› 2006, Vol. 61 ›› Issue (1): 3-14.doi: 10.11821/xb200601001

• 生态环境 •    下一篇

黄河源地区草地退化空间特征

张镱锂1, 刘林山1,2, 摆万奇1, 沈振西1, 阎建忠1,3, 丁明军1,2, 李双成4, 郑度1   

  1. 1. 中国科学院地理科学与资源研究所, 北京 100101;
    2. 中国科学院研究生院, 北京 100039;
    3. 西南大学资源环境学院, 重庆 400716;
    4. 北京大学环境学院, 北京 100871
  • 收稿日期:2005-10-16 修回日期:2005-12-01 出版日期:2006-01-25 发布日期:2006-01-25
  • 作者简介:张镱锂 (1962-), 男, 吉林人, 研究员, 博士生导师，中国地理学会会员。从事生物地理学、土地利用和土地覆被的理论和应用基础研究。成果获省部级奖励4次，发表论著50余篇。E-mail: zhangyl@igsnrr.ac.cn
  • 基金资助:

    国家重点基础研究发展计划 (2005CB422006); 国家自然科学基金项目 (90202012; 40471009); 中国科学院知识创新工程 (KZCX3-SW-339)

Grassland Degradation in the Source Region of the Yellow River

ZHANG Yili1, LIU Linshan1,2, BAI Wanqi1, SHEN Zhenxi1, YAN Jianzhong1,3, DING Mingjun1,2, LI Shuangcheng4, ZHENG Du1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China;
    3. College of Resources and Environment, Southwest University, Chongqing 400716, China;
    4. College of Environmental Sciences, Peking University, Beijing 100871, China
  • Received:2005-10-16 Revised:2005-12-01 Online:2006-01-25 Published:2006-01-25
  • Supported by:

    National Basic Research Program of China, No.2005CB422006; National Natural Science Foundation of China, No. 90202012 and 40471009; Knowledge Innovation Project, No.KZCX3-SW-339

PDF (PC)

814

赞

被引次数

311

摘要：

利用黄河源地区1985年和2000年1:100 000土地利用/覆被数据，结合1:250 000 DEM、道路和居民点数据与野外调查资料，分析草地退化与坡向、海拔及距道路和居民点距离之间的关系，探讨黄河源区15年间土地覆被变化特征与规律。结果表明，退化草地占源区总面积的8.24%，冬春季牧场退化率显著高于夏季牧场；草地退化是黄河源区研究时段内土地利用/覆被变化最主要的特征。草地退化表现为：① 阳坡退化率高于阴坡；② 受人口密度影响，草地退化率与海拔高度成反比，相关系数为-0.925；③ 距离居民点越近，退化率越高。尤其当与居民点距离 ≤12 km时，草地退化率与其相关系数高达-0.996；④ 在距道路4 km以内，草地退化率与道路距离成反比，相关系数高达-0.978。1985年以来，源区的草地退化有自然因素的影响，但人类活动的影响仍起主导作用。科学地减少当地居民对草地的过分依赖是解决脆弱的江河源区环境退化的根本。

关键词: 黄河源区, 草地退化, 坡向, 海拔, 距离, 居民点, 道路, Arcgis应用

Abstract:

The source region of the Yellow River located in the middle east of Tibetan Plateau. The total area is about 52 000 km2, mainly covered by grassland (79%), unused land (16%) and water (4%). The increasing utilization of the land in this area have been keeping increasing the risk of environmental degradation. The land use/cover data (1985 and 2000) provided by the Data Center for Resources and Environmental Sciences of Chinese Academy of Sciences, have been used to analyze the land cover change of the Yellow River. DEM (1:250 000) data，roads, residents data (1:100 000) and the collecting field data were used to analyze grassland degradation distribution character. The Arcgis 9 software was use to convert data types and do the overlay, reclass, zonal statistic analysis. Results show that grassland degradation is the most important land cover change in the research region, which occupied 8.24% of the whole region. And human activities are the main reasons of the grassland degradation in the source region of Yellow River: a) the degradation rate is higher in the sunny slope and lower in the northern slope; b) The grassland degradation rate goes down while the elevation rise up with the correlation coefficient of -0.93; c) The nearer to the residents the higher degradation rate, especially in the range of 11km, of which the correlation coefficient of the distance and degradation rate is -0.99; d) In the range of 4km, the degradation rate goes down with the distance to the roads with the correlation coefficient of -0.98. Though there are some physical reasons, human activities are the most important driven forces of the grassland degradation in the source region of the Yellow River since 1985. The ultimate way to resolve the degradation problems is to decrease the population who depends on the livestock production and to lessen the society demand of the GDP incoming from the grassland. To keep the sustainable development, the management and dynamic process of the grassland ecosystem are in dire need of enhanced.

Key words: the source region of the Yellow River, grassland degradation, slope aspect, elevation, distance, residents, roads, Aicgis application