地理科学 ›› 2014, Vol. 34 ›› Issue (10): 1218-1225.doi: 10.13249/j.cnki.sgs.2014.010.1218

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河南省耕地集约利用时空分异及分区研究

刘玉1,2(), 郝星耀1,2, 潘瑜春1,2(), 唐秀美1,2   

  1. 1. 北京农业信息技术研究中心,北京 100097
    2. 国家农业信息化工程技术研究中心,北京 100097
  • 收稿日期:2013-09-25 修回日期:2014-04-03 出版日期:2014-10-10 发布日期:2014-10-10
  • 作者简介:

    作者简介:刘 玉(1982-),男,河北无极人,博士,助理研究员,研究方向为土地利用、区域农业与农村发展。E-mail: liuyu@nercita.org.cn

  • 基金资助:
    国家自然科学基金项目(41201173、41130748)资助

Evaluating and Zoning of Cultivated Land Intensive Use in Henan Province at County Level

Yu LIU1,2(), Xing-yao HAO1,2, Yu-chun PAN1,2(), Xiu-mei TANG1,2   

  1. 1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
    2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
  • Received:2013-09-25 Revised:2014-04-03 Online:2014-10-10 Published:2014-10-10

摘要:

通过构建耕地集约利用评价模型,采用Kernel密度曲线等深入分析1990年、2000年和2010年河南省126个县域的耕地集约利用程度及其时空规律,并采用双重自组织模型进行耕地集约利用分区。结果表明:① 县域耕地集约利用度的Kernel密度曲线呈现典型的单峰分布模式,分布曲线由“尖峰形”向“宽峰形”发展并整体向右移动,表明河南省耕地集约利用整体水平上升,县域差异扩大。② 耕地集约利用水平空间差异显著,“北高南低”、“东高西低”、“平原区高,山地丘陵区低”的特征明显;大多数县域耕地集约利用度随时间变化稳步提高,但提高水平差异较大;耕地投入强度和耕地产出效率的提升幅度较大,耕地利用强度和可持续性状况提升较慢。③ 采用双重自组织模型将126个县域划分为东部黄淮平原区、北部平原区、东南丘陵平原区、中南平原区、西部山地丘陵区等5个耕地集约利用区,并提出了相应的发展策略。

关键词: 耕地集约利用, 熵权法, Kernel密度法, 时空分异, 双重自组织模型, 河南省

Abstract:

The intensive use of cultivated land resource is not only the key to improve the cultivated land use efficiency and to ensure the national food security, but also been one of the most important components in rural development and social stability. Henan is the largest agricultural province and the most populous province in China, research on the intensive use of cultivated land in Henan is a window for penetrating into phenomena in China, for which occupying more than 6% cultivated land area in China. Considering the actual situation of the 126 counties in Henan Province, the evaluation index system for cultivated land use intensity was established from four aspects, including land investment degree, utilizing intensity, output efficiency and sustainable development status. The weight of each index was calculated by the entropy method, and then the intensity of cultivated land use in 1990, 2000 and 2010 at county level was evaluated and graded. The results demonstrated that: 1) As for temporal characteristic, the average degree of cultivated land intensive use showed an increasing tendency, increased from 0.262 in 1990 to 0.461 in 2010, and the total disparities of intensive use degree in Henan at county level have enlarged. The distribution shapes of intensive use degree were typical “single peak” shapes in the three years, transforming from "spike peak" in 1990 to "broad peak" in 2000 and 2010. 2)As for spatial characteristic, the character of spatial clustering about counties of high value and low value was remarkable, and intensive degree was significantly higher in eastern plain region than in western mountain area, higher in northern region than in southern region. The investment degree and utilizing efficiency of cultivated land were the main reasons that lead to the increment of cultivated land intensive use, while utilizing intensity and sustainable development status improved slower. The level of cultivated land intensive use in most counties from 1990 to 2010 showed a steady increase. 3) The spatial difference of cultivated land intensive use was resulted mainly from location condition, natural features and economic condition, and the main driving forces influencing cultivated land intensive use in different counties were different. The 126 counties in Henan were aggregated into five regions by self-organizing dual zoning method, including the eastern Huang-Huai plain area, the northern plain area, the southeast plain area, the central-south plain area and the western mountain area, and some suggestions on cultivated land intensive use were brought forward.

Key words: cultivated land use intensity, the entropy method, the kernel density method, spatial-temporal variance, self-organizing dual zoning method, Henan Province

中图分类号: 

  • F301.24