地理科学进展 ›› 2010, Vol. 29 ›› Issue (11): 1414-1419.doi: 10.11820/dlkxjz.2010.11.036

• 自然区划与土地利用 • 上一篇    下一篇

延河流域土地利用/覆被变化模型的尺度转换方法

冉圣宏1, 张凯1,2, 吕昌河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:2010-01-01 修回日期:2010-05-01 出版日期:2010-11-25 发布日期:2010-11-25
  • 通讯作者: 吕昌河, 男,研究员,博士生导
  • 作者简介:冉圣宏|男|副研究员。主要从事土地利用变化及其环境效应研究
  • 基金资助:

    中国科学院知识创新工程重要方向项目(kzcx2-yw-421);国家重点基础研究发展计划项目(2009CB421307-5)

The Scale Conversion Method of Land Use/Cover Change Models in the Yanhe River Catchment

RAN Shenghong1, ZHANG Kai1,2, LU Changhe1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research|CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100039, China
  • Received:2010-01-01 Revised:2010-05-01 Online:2010-11-25 Published:2010-11-25

摘要:

采用延河流域和安塞县2000 和2006 年的土地利用/覆被遥感影像,结合实地调研获取的2000-2006 年该区域生态建设尤其是退耕还林还草数据,分别在流域尺度和县域尺度上,采用主成分分析法对延河流域及位于延河流域上中游的安塞县土地利用/覆被变化及其驱动力进行了分析,建立了耕地面积变化的驱动力模型。研究表明,在这两个尺度上,影响耕地面积变化的关键因素都是总人口和农作物播种面积。以此为基础,基于不同尺度上共同驱动力因子之间的相互关系,建立了不同尺度上耕地变化模型的尺度转换方法。对于不同尺度的土地利用/覆被变化模型,无论其模型形式的复杂程度如何,只要不同尺度上的关键驱动因子相同或存在明确的定量关系,就可以基于关键驱动力因子的定量关系进行不同尺度上土地利用/覆被模型的尺度转换。研究成果为土地利用/土地覆被变化的尺度转换方法研究提供了新思路。

关键词: 尺度转换, 驱动力模型, 土地利用/覆被变化, 延河流域

Abstract:

According to the interpretation results of composite TM images of the Yanhe River Catchment and Ansai County in 1990 and 2000, and based on the field investigation on the eco-construction activities from 2000 to 2006 in this area, the land use/cover change and its driving factors in the Yanhe River Catchment and Ansai County were analyzed at both catchment and county scales. The driving force models of cultivated land area change were established at both catchment and county scales. Based on the relationship among the common driving factors at different scales, a scale conversion method for cultivated land changes at different scales was established. The results showed that, for land use/cover change models at different scales, they could be converted based on the quantitative relationship of key driving factors, no matter how complicated the models were. The study results would put new insights into the scale conversion research of land use/cover change.

Key words: driving force models, land use/cover change, scale conversion, Yanhe River Catchment