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生态学杂志 ›› 2011, Vol. 30 ›› Issue (03): 576-583.

• 研究报告 • 上一篇    下一篇

基于RS和GIS的科尔沁沙地南缘章古台地区土地利用变化及其驱动力

郑水林1,2,吴祥云2,闫巧玲1,宋立宁1,3,朱教君1**   

  1. 1中国科学院沈阳应用生态研究所辽宁省生态公益林经营管理重点实验室, 沈阳 110016|2辽宁工程技术大学, 辽宁阜新 123000|3中国科学院研究生院, 北京100049
  • 出版日期:2011-03-08 发布日期:2011-03-08

Land use change and its driving forces in Zhanggutai district of south Horqin Sandy Land based on remote sensing and GIS.

ZHENG Shui-lin1,2, WU Xiang-yun2, YAN Qiao-ling1, SONG Li-ning1,3, ZHU Jiao-jun1**   

  1. 1Key Laboratory of Management for Non-commercial Forests of Liaoning Province, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China|2Liaoning Technical University, Fuxin 123000, Liaoning, China|3Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2011-03-08 Published:2011-03-08

摘要: 利用遥感影像,借助于GIS技术以及数理统计方法,对章古台地区近20年间土地利用变化及驱动力进行了分析。结果表明:1988-2009年间,章古台地区土地利用构成以耕地和林地为主;土地利用类型变化以林地、耕地和建设用地面积的增加和草地、水域及未利用土地面积的减少为特征,其中,草地、建设用地和未利用土地的年变化率大于其他土地利用类型;土地利用程度综合指数由1988年的235.34增至2009年的251.65;土地类型间的转化以草地、未利用土地向林地、耕地转化和耕地与林地间转化为主,占总转化面积的95.58%。章古台地区土地利用变化受人口、政策和自然因素的综合影响,虽然自然因素是决定土地利用变化的重要因素,但在20年的时间尺度上,人口增长和政策引导则是加剧这种变化的主导因素。

关键词: 菲, 大豆, SOD活性, 生物标记物, 恢复

Abstract: By using remote sensing images, GIS technology, and mathematical statistic methods, this paper analyzed the past 20 years’ land use change and its driving forces in Zhanggutai district of Liaoning Province, China. In the period of 1988-2009, cultivated land and forestland were the main land use types in the district. Across this period, the areas of forestland, cultivated land, and construction land increased, while those of grassland, water body, and unused land decreased. The annual change rates of grassland, construction land, and unused land were higher than those of other land use types. The comprehensive index of land use degree increased from 235.34 in 1988 to 251.65 in 2009. The conversion between land use types was mainly characterized by the conversion from grassland and unused land to forestland and cultivated land and that between cultivated land and forestland, accounting for 95.58% of the total conversed area. These land use changes were driven by the combined effects of population, policy, and environmental conditions, among which, population growth and policy guidance played critical roles in intensifying these changes at 20-year time scale.

Key words: Phenanthrene, Soybean, SOD activities, Biomarkers, Recovery