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DOIhttps://doi.org/10.1594/PANGAEA.884460
Soil erosion rate maps for Peru
Rosas; Miluska; Gutierrez; Ronald R
发布日期2017-12-27
数据集类型dataset
英文简介Quantifying soil erosion rates (ERs) in developing countries is necessary to accomplish the Goal 15 of the UN 2030 Agenda for Sustainable Development and is relevant to meet the technical challenges of future hyperresolution models. This study proposes using the RUSLE model on the basis of the Generalized Likelihood Uncertainty Estimation (GLUE) methodology to estimate ERs at country scale for developing countries, which commonly exhibit spatio-temporal limitations/lack of groundbased measurements or field relations potentially inducing high uncertainty in the estimates of the R and C factors. In this context, ERs are calibrated with area-specific sediment yield data and global soil erosion model outputs. The method is successfully applied to Peru, and subsequently 5-km resolution ER maps are obtained for the years 1990, 2000, and 2010 which suggest that the steady increase of soil erosion rates are mainly induced by anthropogenic controls (e.g. changes in land use). In the light of our results, we believe that the method has the potential to be used as a standard method to estimate ERs and provide decision makers for an objective information to better manage soil resources in developing countries.
空间范围Latitude: -8.000000 * Longitude: -76.000000
语种英语
国家国际
学科大类气候变化
学科子类气候变化
文献类型数据集
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/216364
推荐引用方式
GB/T 7714
Rosas,Miluska,Gutierrez,et al. Soil erosion rate maps for Peru.2017-12-27.https://doi.org/10.1594/PANGAEA.884460.
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