AN INSIGHT ON DRIVERS OF LAND USE CHANGE AT REGIONAL SCALE

作     者：SHAO Jing-an WEI Chao-fu XIE De-ti 

作者机构：College of Resource and Environment Southwest University Chongqing 400716 P. R. China Chongqing Key Laboratory of Digital Agriculture Chongqing 400716 P. R. China 

出 版 物：《Chinese Geographical Science》 (中国地理科学（英文版）)

年 卷 期：2006年第16卷第2期

页      面：176-182页

核心收录：

学科分类：0303[法学-社会学] 08[工学] 0708[理学-地球物理学] 09[农学] 0705[理学-地理学] 0903[农学-农业资源与环境] 083306[工学-城乡规划管理] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 

基　　金：Under the auspices of the National Natural Science Foundation of China (No. 49771073) and Key Project of ChineseAcademy of Sciences (No. KZ952-J1-203) 

主　　题：土地利用变化 区域刻度 土地管理 土地资源 

摘      要：The studies of driving forces of regional land use change (LUC) are to reveal the real motivation behind the LUC and its interacting mechanism, so as to simulate and predict the process of LUC. Presently, studies rooting from different natural and socio-economic backgrounds and from different scales have deepened the people’s understanding and cognition to driving forces of regional LUC. Biophysical driving forces are relatively stable, and have the cumulating effects. Human driving forces are relatively active, and are main driving forces of short-term regional LUC. Existing regional LUC models can answer the three main problems: which contribution (why), which location (where) and what rate (when). But, regional land use system is defined as the self-organized system, usually affected by the cri- tical value area and sudden change, and controlled by different stages. To reduce the impact of critical threshold and break on land use system, the studies of LUC driving forces will aim at following priority areas: data linkage between remote sensing and no-remote sensing data; underlying driving force identification; driving factor quantification; driving factor scale dependence; and driving process integration simulation.