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

被引:7
|
作者
Zhang Hengming
Wang Qingli
Dai Limin [1 ]
Shao, Guofan
Tang Lina
Wang Shunzhong
Gu Huiyan
机构
[1] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
[2] Grad Univ, Chinese Acad Sci, Beijing 100101, Peoples R China
[3] Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA
[4] NE Forestry Univ, Harbin 150040, Peoples R China
来源
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 2006年 / 49卷 / Suppl 1期
关键词
geographic information system; RUSLE; soil erosion; forest management;
D O I
10.1007/s11434-006-8117-z
中图分类号
T [工业技术];
学科分类号
08 ;
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 Janchang 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.
引用
收藏
页码:160 / 166
页数:7
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