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Modeling the impacts of agroforestry systems on the spatial patterns of soil erosion risk in three catchments of Claveria, the Philippines

机译:对菲律宾克拉维里亚三个流域农林业系统对土壤侵蚀风险空间格局的影响进行建模

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摘要

Agroforestry is one of the preferred land-use options for smallholder farms in tropical landscapes due to its ability to increase land productivity and protect soil from erosion. We investigated the impacts of agroforestry and traditional monocropping systems on the spatial patterns of soil erosion risk in three catchment areas of Claveria, the Philippines, using WaTEM/SEDEM, a spatially distributed soil erosion model. The model predicts soil loss in catchments based on the Revised Universal Soil Loss Equation (RUSLE) by taking into account the influences of rainfall, soil erodibility, vegetation cover and 2-dimensional variations in landscape structure. The predicted soil erosion rates were transformed into risk values in order to identify areas with higher risk for erosion. Model results indicate a large spatial variability in soil erosion risk patterns, with higher risks occurring on slopes greater than 8% on land under non-agroforestry use. The soil erosion risk maps were used to formulate site-specific agroforestry recommendations for future landscape amelioration plans.
机译:农用林业是热带地区小农户的首选土地利用选择之一,因为它具有提高土地生产力和保护土壤免遭侵蚀的能力。我们使用空间分布的土壤侵蚀模型WaTEM / SEDEM,研究了农林业和传统的单作系统对菲律宾克拉维里亚三个集水区土壤侵蚀风险的空间格局的影响。该模型通过考虑降雨,土壤易蚀性,植被覆盖和景观结构二维变化的影响,根据修订后的通用土壤流失方程(RUSLE)预测流域的土壤流失。将预测的土壤侵蚀率转换为风险值,以便确定侵蚀风险较高的地区。模型结果表明,土壤侵蚀风险模式具有较大的空间变异性,在非农林业使用下,坡度大于8%的土地上发生较高的风险。水土流失风险图用于为未来的景观改善计划制定针对特定地点的农林业建议。

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