Quantifying soil erosion with GIS-based RUSLE under different forest management options in Jianchang Forest Farm

作     者：ZHANG Hengming, WANG Qingli, DAI Limin, Guofan Shao, TANG Una, WANG Shunzhong & GU Huiyan Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China Graduate University of Chinese Academy of Sciences, Beijing 100101, China Department of Forestry and Natural Resources, Purdue University, Lafayette IN47901, USA Northeast Forestry University, Harbin 150040, China 

作者机构：Institute of Applied Ecology Chinese Academy of Sciences Shenyang China Graduate University of Chinese Academy of Sciences Beijing China Department of Forestry and Natural Resources Purdue University Lafayette USA Northeast Forestry University Harbin China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2006年第49卷第Z1期

页      面：160-166页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：China’s Ministry of Science and Technology, (04EFN216600328) Liaoning Key Technology R&D Program, (2004201003, 2004207002) Chinese Academy of Sciences, CAS 

主　　题：geographic information system, RUSLE, soil erosion, forest management. 

摘      要：Quantitatively estimating soil erosion with an integration of geographic information system (GIS) and the revised universal soil loss equation (RUSLE) under four different exposed soil proportion scenarios caused by forest management practices was studied at Jianchang Forest Farm. The GIS provided means of input data generation required by RUSLE model and allowed a spatial assessment of the erosion hazard over the study area. Four exposed soil proportion scenarios of 5%, 10%, 20% and 30% were tested with the GIS-based RUSLE model to evaluate soil erosion hazard. The predicted soil erosion potentials were classified into five categories in order to provide valuable aids for management planning.