Application of a GIS-Based Revised FER-USLE Model in the Shangshe Catchment

Chapter

Abstract

To support policy decisions, the greatest need is for models that can produce robust results using readily available data. The ER-USLE model was tested at the sub-catchment scale in a sub-catchment of cultivated land by comparing observed specific sediment discharge (SSD) at the outlet of sub-catchment with predicted SSD using ER-USLE model. The FUSLE model was tested from the USLE plot to the sub-catchment scale in sub-catchments of pine forest, Chinese fir forest, and tea garden by comparing observed SSD with predicted SSD using FUSLE model. Integrating the ER-USLE model for soil loss prediction in cultivated land and the FUSLE model for soil loss prediction in forest, the FER-USLE model was developed for soil loss prediction in both cultivated land and forest. The FER-USLE model was tested in the Shangshe catchment by comparing its predictions with observed SSD at the river outlet, showing robust results. Results show that it is useful for prediction of annual soil loss for various types of land use in the Dabie Mountains, China. FER-USLE model is available to many users and policy makers in the Dabie Mountains, China.

Keywords

Sedimentation Arena Upscaling 

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Dean of the College of Forest Resources and EnvironmentNanjing Forestry UniversityNanjingChina
  2. 2.Department of BiologyUniversity of MiamiCoral GablesUSA
  3. 3.College of Forest Resources and EnvironmentNanjing Forestry UniversityNanjingChina

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