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ABSTRACT: Background
Soil erosion is a severe problem in the karst watershed, and analysis of soil erosion at the watershed scale is urgently needed.Methods
This study tried to estimate the soil erodibility factor (K-factor) using the Erosion Productivity Impact Calculator (EPIC) nomograph and evaluate the spatial distribution of the predicted K-factor in a karst watershed. Soil properties and K-factors of five land use types (NF: natural mixed forest, CF: cypress forest, EF: economic forest, ST: stone dike terrace, VF: vegetable land) in the Xialaoxi small watershed were compared and key factors affecting erodibility were analyzed.Results
Results showed that (1) The erodibility K-factor was unevenly distributed within different site types and stro
SUBMITTER: Luo T
PROVIDER: S-EPMC9744158 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature