长江流域资源与环境 >> 2010, Vol. 19 >> Issue (2): 186-.

• 农业发展 • 上一篇    下一篇

桂西北河池地区耕地变化及其驱动力Logistic回归分析

余蓉蓉1|2|3| 王克林1|2*|岳跃民1|2|3   

  1. (1.中国科学院亚热带农业生态研究所| 湖南 长沙 410125; 2.中国科学院环江喀斯特农业生态系统观测研究站| 广西 环江547100; 3.中国科学院研究生院| 北京 100049)
  • 出版日期:2010-02-20

FARMLAND CHANGES AND ITS DRIVING FORCES ANALYSIS BASED ON LOGISTIC REGRESSION MODEL IN HECHI|NORTHWESTERN GUANGXI ZHUANG AUTONOMOUS REGION

YU Rongrong1|2|3| WANG Kelin1|2|YUE Yuemin1|2|3   

  1. (1.Institute of Subtropical Agriculture| Chinese Academy of Sciences| Changsha 410125| China;
    2.Huanjiang Experimental Station of Karst Ecosystem|Chinese Academy of Sciences|Huanjiang 547100|China;3.Graduate University of Chinese Academy of Sciences|Beijing 100049|China)
  • Online:2010-02-20

摘要:

桂西北河池地区土地退化严重,耕地少,区域农业发展受限。基于TM遥感图像、DEM等空间数据并结合社会经济统计数据,利用空间分析方法及Logistic回归分析模型,定量分析了1952~2006年桂西北河池地区11个县耕地的时空动态变化规律及其驱动机制。研究结果表明:1952~2006年河池地区耕地总量的变化经历了迅速增加-波动变化-迅速减少-缓慢减少的过程,空间上变化率不均衡,且近20多a间西部地区耕地减少迅速,其变化体现了国家政策的主导驱动作用;根据回归结果提取出7类影响耕地分布的主要解释变量,其中海拔和人口分布为耕地空间分布格局分异的关键影响因素,其次是坡度Ⅰ(0°~5°)、GDP、至主要公路距离、至主要河流距离和至主要城镇距离;不同县之间耕地变化驱动力的解释变量存在差异,且各县耕地分布概率对于海拔、坡度Ⅰ(0°~5°)、GDP这3类解释变量较敏感,而其他解释变量敏感程度较低;东部地区耕地分布的概率更大.

关键词: 广西/ 喀斯特/ 耕地/ Logistic回归分析

Abstract:

Land degradation has been quickly expanding in Hechi Region of northwestern Guangxi Zhuang Autonomous Region and results in the decreases of farmland and the limitation of agricultural development.Based on the Landsat TM remote sensing images and DEM data,and combined with socioeconomic statistical data,spatialtemporal analysis and logistic regression model were employed to quantify the spatial and temporal changes of farmland and study its driving mechanism from 1952 to 2006 in 11 counties of Hechi,northwestern Guangxi.The spatial analysis indicated that the changes of total farmland areas had experienced four stages from 1952 to 2006:Rapid increase,fluctuant change,rapid decrease,and slow decrease.The spatial change rates were unbalanced as the farmland of the west part sharply decreased in latest 20 years,which was due to the dominant driving forces of policy effects.According to the results of Logistic regression,we extracted 7 explanatory variables associated with effects on the farmland distribution.The logistic regression models analysis of driving mechanism showed that altitude and population distribution were the most important driving forces,and then followed by slopeⅠ (0~5°),GDP,distance to main roads,distance to main towns.The explanatory variable of main driving force and the sensitivity of explanatory variable to farmland distribution probability were different from each county.The altitude,slopeⅠ(0~5°),and GDP were more sensitive to farmland distribution probability than the other explanatory variables.The spatial distribution probability of farmland in eastern part was greater than that in other parts of Hechi Region.

Key words: Guangxi Zhuang Autonomous Region/ Karst/ Farmland/ Logistic Regression Analysis

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