Spatial Estimation of Soil Erosion Risk by Land-cover Change in the Andes OF Southern Ecuador

Ecuador has the highest deforestation rate in South America, causing large‐scale soil erosion. Inter‐Andean watersheds are especially affected by a rapid increase of the population leading to the conversion of large areas of montane forest into pasture and cropland. In this study, we estimate soil e...

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Bibliographic Details
Published in:Land degradation & development 2015-08, Vol.26 (6), p.565-573
Main Authors: Ochoa-Cueva, Pablo, Fries, Andreas, Montesinos, Pilar, Rodríguez-Díaz, Juan A., Boll, Jan
Format: Article
Language:English
Subjects:
C-factor
Deforestation
Ecuador
Ecuadorian Andes
future scenarios
Land cover
land-cover change
Rainfall
Risk
RUSLE
Slopes
Soil erosion
Vegetation
Watersheds
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Summary:Ecuador has the highest deforestation rate in South America, causing large‐scale soil erosion. Inter‐Andean watersheds are especially affected by a rapid increase of the population leading to the conversion of large areas of montane forest into pasture and cropland. In this study, we estimate soil erosion risk in a small mixed land‐use watershed in the southern Andes of Ecuador. Soil loss was estimated at a spatial resolution of 30 m, using the Revised Universal Soil Loss Equation (RUSLE) where the RUSLE factors were estimated on the basis of limited public available data. Land‐cover maps for 1976, 2008 and 2040 were created assuming increasing deforestation rates over the ensuing decades. Greater erosion rates are estimated for succession areas with agricultural cropland and pasture with maximum values of 936 Mg ha−1 y−1, where slopes and precipitation amounts are the greatest. Under natural forest vegetation, the estimated soil erosion rates are negligible (1·5 to 40 Mg ha−1 y−1) even at steep slopes and higher elevations where rainfall amounts and intensities are generally higher. When the entire watershed has undergone substantial deforestation in 2040, erosion values may reach 2,021 Mg ha−1 y−1. Vegetation cover is the most important factor for potential soil erosion. Secondary factors are related to rainfall (R‐factor) and topography (LS factors). Although the spatial predictions of potential soil erosion have only limited meaning for erosion risk, this method provides an important screening tool for land management and assessment of land‐cover change. Copyright © 2013 John Wiley & Sons, Ltd.
ISSN:1085-3278
1099-145X
DOI:10.1002/ldr.2219