首页> 中文期刊> 《寒旱区科学:英文版》 >An integrated analysis approach to LUCC at regional scale: A case study in the Ganzhou District of Zhangye City, China

An integrated analysis approach to LUCC at regional scale: A case study in the Ganzhou District of Zhangye City, China

         

摘要

Land use/cover change(LUCC) models are helpful tools for analyzing driving forces and processes of land use changes,assessing ecological impacts of land use change and decision-making for land use planning.However,no single model is able to capture all the essential key processes to explore land use change at different spatial-temporal scales and make a full assessment of driving factors and macro-ecological impacts.Taken Ganzhou District as a case study,this paper describes an integrated analysis(IA) approach by combining with system dynamics(SD) model,the Conversion of Land Use and its Effects at Small regional extent(CLUE-S) model and landscape indices method to analyze land use dynamics at different spatial-temporal scales.The SD model was used to calculate and predict demands for different land use types at the macro-scale as a whole during 2000-2035.The LUCC process was simulated at a high spatial resolution with the spatial consideration of land use spatial policies and restrictions to satisfy the balance between land use demand and supply by using the CLUE-S model,and Kappa values of the map simulation are 0.86 and 0.81 in 2000 and 2005,respectively.Finally,we evaluated the macro-ecological effect of LUCC and optimized scenario managements of land use by using landscape indices method.The IA approach could be used for better understanding the complexity of land use change and provide scientific support for land use planning and management,and the simulation results also could be used as a source data for scenario analysis of different hydrological and ecological processes based on different underlying surface of LUCC.

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号