*L.T. Tran, M.A. Ridgley, and R. Sutherland, University of Hawaii, Geography Department, 2424 Maile Way, Honolulu, HI 96822, USA; M.A. Nearing, National Soil Erosion Laboratory, USDA-ARS, West Lafayette, IN 47907-1196, USA; L. Duckstein, Ecole Nationale du Genie Rural, des Eaux et des Forets, 19 avenue du Maine, 75732 Paris Cedex 15, France. *Corresponding author: [email protected]. Current address:...

Elevated suspended sediment concentrations in fluvial environments have important implications for system ecology and even small concentrations may have serious consequences for sensitive ecosystems or organisms, such as freshwater pearl mussels (Margaritifera margaritifera). Informed decision making is therefore required for land managers to understand and control soil erosion and sediment del...

cients. Normalizing to a unit plot of length 22.13 m, both the USLE and RUSLE use the equation Empirical soil erosion models continue to play an important role in soil conservation planning and environmental evaluations around L 5 (l/22.13) [2] the world. The effect of hillslope length on soil loss, often termed the where L is soil loss normalized to the 22.13-m-long slope length factor, is one...

Until the mid-1990s, a major limitation of using the Universal Soil Loss Equation and Revised Universal Soil Loss Equation erosion models at regional landscape scales was the difficulty in estimating LS factor (slope length and steepness) values suitable for use in geographic information systems applications. A series of ArcInfo Arc Macro Language scripts was subsequently created that enabled t...

Introduction Conclusions References Tables Figures Back Close Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Introduction Conclusions References Tables Figures Back Close Abstract The polygon boundaries on the digital map of land surface characteristic are conventionally represented as...

CLIGEN is a stochastic weather generator to produce daily variables to drive process-based runoff and erosion prediction models such as WEPP. Algorithms were developed to compute the R-factor, its monthly distribution, and 10-year storm erosion index (EI) needed to apply the revised Universal Soil Loss Equation (RUSLE) using stochastically generated weather variables. Measured R-factor and 10-y...

The polygon boundaries on the digital map of land surface characteristic are conventionally represented as a sharp change (categorical format), which results in discrepancy between real world phenomena and the information presented by boundaries on map, and it is especially true for soil properties. This paper presents a probable impact 5 of the representation of geographic boundary for the soi...

Time-dependent and phenology-based erodibility assessments in agricultural areas are extremely important for a more accurate evaluation of erosion. This paper aims to investigate soil factor (RUSLE-K) the “Revised Universal Soil Loss Equation (RUSLE)” model terms phenological seasonal variations 50 different winter wheat growing parcels with interactions other dynamic RUSLE factors (RUSLE-R, RU...