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

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Abstract

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.

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Authors and Affiliations

  1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China

    Zhang Hengming, Wang Qingli, Dai Limin, Guofan Shao, Tang Lina, Wang Shunzhong & Gu Huiyan

  2. Graduate University of Chinese Academy of Sciences, Beijing, 100101, China

    Zhang Hengming, Tang Lina & Wang Shunzhong

  3. Department of Forestry and Natural Resources, Purdue University, Lafayette, IN, 47901, USA

    Guofan Shao

  4. Northeast Forestry University, Harbin, 150040, China

    Gu Huiyan

Authors
  1. Zhang Hengming
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  2. Wang Qingli
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  3. Dai Limin
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  4. Guofan Shao
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  5. Tang Lina
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  6. Wang Shunzhong
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  7. Gu Huiyan
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Correspondence to Dai Limin.

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Zhang, H., Wang, Q., Dai, L. et al. Quantifying soil erosion with GIS-based RUSLE under different forest management options in Jianchang Forest Farm. SCI CHINA SER E 49 (Suppl 1), 160–166 (2006). https://doi.org/10.1007/s11434-006-8117-z

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  • DOI: https://doi.org/10.1007/s11434-006-8117-z

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