地理科学 ›› 2013, Vol. 33 ›› Issue (5): 588-593.doi: 10.13249/j.cnki.sgs.2013.05.588

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环渤海地区耕地复种指数时空变化遥感反演及影响因素探测

杨忍1,2(), 刘彦随1(), 陈玉福1, 李婷婷1,2   

  1. 1.中国科学院地理科学与资源研究所, 北京 100101
    1.中国科学院地理科学与资源研究所, 北京 100101
  • 收稿日期:2012-07-27 修回日期:2012-10-11 出版日期:2013-05-20 发布日期:2013-05-20
  • 作者简介:

    作者简介:杨忍 (1984-),男,贵州毕节人,博士研究生,主要研究方向为土地利用、城乡发展与GIS应用研究。E-mail:yangren0514@163.com

  • 基金资助:
    国家自然科学基金项目(41130748、41101162、41001374)、中国科学院知识创新工程重要方向项目(KZCX2-EW-304)资助

The Remote Sensing Inversion for Spatial and Temporal Changes of Multiple Cropping Index and Detection for Influencing Factors Around Bohai Rim in China

Ren YANG1,2(), Yan-sui LIU1(), Yu-fu CHEN1, Ting-ting LI1,2   

  1. 1. Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. Graduate University of Chinese Academy of Sciences, Beijing, 100049, China
  • Received:2012-07-27 Revised:2012-10-11 Online:2013-05-20 Published:2013-05-20

摘要:

利用SPOTNDVI数据,对环渤海地区2000、2004、2008年耕地复种指数进行遥感反演。并利用地理探测器方法对影响复种指数动态变化的因素进行定量探测。结果表明:① 从南至北,复种指数从平原地区最高280%降至北部山区最低70%,呈现出一定南北递减的纬度地带性。丘陵、高原、山区的复种指数比同一纬度地区偏低40%~60%,表现出一定垂直地带性。② 2000~2004年,平原传统农区的复种指数上升,高原、山区、丘陵地区局部出现下降;2004~2008年,下降区域的复种指数反弹上升,平原农区保持平稳。③ 粮食单产水平是影响复种指数动态变化的主要因素,人均耕地面积、农村劳动力转移程度、农业生产条件、农业现代化水平、区位条件等因素等对其变化起着一定影响。

关键词: 复种指数, 遥感反演, 时空变化, 影响因素

Abstract:

Using SPOTNDVI data, the multiple cropping indexes were inversed by remote sensing in 2000, 2004 and 2008 around Bohai in China. Meanwhile, the influencing factors for the changes of the multiple cropping indexes were detected by geographical detection method. The results showed: 1) The Spatial differences of the multiple cropping index were significant. The latitude zonal laws were obvious for the multiple cropping index spatial distribution, which was changed from 280% in the south plain to 70% in the north mountainous region. It was lower to 40%-50% in hills and the plateau mountain region than in the plain of the same latitude, showed a certain vertical zones law. The multiple cropping index was higher than 150% in traditional agricultural areas of plains, including the southern of Hebei Province, the southwest and north of Shandong Province. The lower value regions of the multiple cropping index were located at Shandong Hilly Areas, Bashang Plateau in Hebei Province and Changbai Mountains in Liaoning Province. 2) The regional differences of the dynamic change for the multiple cropping index were obvious in 2000-2008. The multiple cropping index was increased in the traditional agricultural areas of the plains. The regions where the dynamic degree was more than 10% were located in the southwest, northwest and east in Shandong Province, Haihe river plain in Hebei Province. On the contrary, the negative value regions of the dynamic degree were located in the Hilly Areas of Shandong Province, Bashang Plateau of Hebei Province and the Liaohe River plain in Liaoning Province in 2000-2004. There were rebound in declined areas, and remained stable in increase areas in 2004-2008. 3) The level of grain production was an important factor affecting changes of the multiple cropping indexes. There were many factors affecting changes of the multiple cropping index, including the per capita cultivated land area, transfer degree for rural labor force, the basic conditions of agricultural production, the level of agricultural modernization, location conditions etc. In order to improve cultivated land use efficiency and agriculture development, a reasonable and order land transfer should be actively pursued in the plain. Meanwhile, large of new agricultural cooperative organizations should be developed, so that the regional agricultural modernization is improved. On the other hand, the comprehensive consolidation of land should be actively implemented including cultivated land, water, roads, forests, and villages, which promoted the construction of high-standard farmland, to protect regional food security and rural-urban development transition healthily. Developing specialized agriculture in the hills and mountains and highland areas, the quality fruits are developed to enhance industrial competitiveness of specialty agriculture.

Key words: multiple cropping index, remote sensing inversion, spatial and temporal change, influencing factors

中图分类号: 

  • TP79