地理科学进展

地理科学进展 ›› 2011, Vol. 30 ›› Issue (9): 1173-1179.doi: 10.11820/dlkxjz.2011.09.013

• 土地利用 • 上一篇    下一篇

河北省土地生产率的空间差异及其影响因素

李义1,2, 朱会义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 100049
  • 收稿日期:2010-10-01 修回日期:2011-02-01 出版日期:2011-09-25 发布日期:2011-09-25
  • 通讯作者: 朱会义,E-mail: zhuhy@igsnrr.ac.cn E-mail:zhuhy@igsnrr.ac.cn
  • 作者简介:李义(1985-),女,河北衡水人,硕士研究生,研究方向为土地利用/土地覆被变化。E-mail: liyi.08s@igsnrr.ac.cn
  • 基金资助:

    国家自然科学基金项目(41171087)。

Spatial Difference of Land Productivity and Its Influencing Factors in Hebei Province

LI Yi1,2, ZHU Huiyi1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2010-10-01 Revised:2011-02-01 Online:2011-09-25 Published:2011-09-25

PDF (PC)

562

赞

被引次数

6

摘要： 在耕地总面积持续减少的背景下,提高土地生产率无疑是保障中国粮食安全的长期出路,而要提高土地生产率则需要科学地认识土地生产率的时空差异及其演变规律。本文选取作为中国粮食主产区之一的河北省为研究区域,以省内136 个县(市)为基本空间单元,分析当前区域土地生产率的空间差异,并运用偏相关分析和主成分分析的方法探讨这一差异的主要影响因素。研究结果表明,当前区域土地生产率的空间差异不是由单一影响因素决定,而是受到地形条件和生产要素投入等自然因素和社会经济因素共同作用的结果,并且不同土地生产率水平地区内的主导影响因素明显不同,从而为如何提高区域土地生产率提供了科学依据。

关键词: 河北省, 空间差异, 土地生产率, 影响因素

Abstract: Food security is an extremely important factor which affects the regional and national socio-economic stability and development. In the context of continuing reduction of cultivated area, the improvement of land productivity is a long term task for China's grain security, and that requires scientific understanding the spatio-temporal differences of land productivity and their influencing mechanism. This paper chooses Hebei Province as the study area which is one of the major grain producing areas, and 136 counties (cities) as the basic spatial units in the province, presents and analyzes spatial differences of land productivity, and then identifies the main influencing factors by using the methods of partial correlation analysis and principal component analysis. The results show that the current regional spatial difference of land productivity is not affected by a single factor, but is the result of several factors influencing together including factors such as terrain and production inputs, and the dominant factor is significantly different in regions at different levels. This is the scientific basis for improving land productivity in different regions.

Key words: Hebei Province, influencing factors, land productivity, spatial difference