Predicting soil erosion and sediment yield at regional scales: Where do we stand?

Abstract

Earth-Science Reviews xxx (2014) xxx EARTH-01959; No of Pages 1 The authors would like to correct some of the numbers in Table 2 in the article by de Vente et al. (2013) referring to the performance of linear regression models applied to Italian catchments. The corrected numbers are indicated in the Table below and concern 1) correction of catchment areas, 2) addition of Model Efficiency for validation data reported Grauso et al. (2008), and, 3) addition of reference to the study where the model calibration was reported (Ciccacci et al., 1987).

Scenario-Based Impacts of Land Use and Climate Change on Land and Water Degradation from the Meso to Regional Scale

“…Balancing the future degradation requires a sufficient understanding of processes behind at different scales [33], a task that may not be possible without an overriding of difficulties related to data availability in a data-poor environment such as Benin.…”

“…Soil and water are essential natural resources, available in limited quantities, but are nowadays dangerously exposed to climate and land use change [33]. Balancing the future degradation requires a sufficient understanding of processes behind at different scales [33], a task that may not be possible without an overriding of difficulties related to data availability in a data-poor environment such as Benin.…”

“…Thus, the process-dependent hierarchization of landscape elements from local to regional scales [27] is recently reflected in the development of several computationally efficient conceptual and distributed physical-based models (e.g., SWAT), attempting to quantify the hydrological variability occurring at a range of scales. Therefore, catchments may be subdivided into a number of smaller units such as sub-catchments, hillslopes, hydrological response units, contour-based elements, and square grid elements [6,[28][29][30][31], but opened discussions on the modeling uncertainty issue, including scaling-effects in model internal aggregation [32,33] for large scale applications. This often affects the magnitudes of model parameters which may finally have no consistent physical meanings, carrying too poor information [33].…”

“…Therefore, catchments may be subdivided into a number of smaller units such as sub-catchments, hillslopes, hydrological response units, contour-based elements, and square grid elements [6,[28][29][30][31], but opened discussions on the modeling uncertainty issue, including scaling-effects in model internal aggregation [32,33] for large scale applications. This often affects the magnitudes of model parameters which may finally have no consistent physical meanings, carrying too poor information [33]. A scale dependent parameterization approach may significantly reduce these sources of uncertainty and the problem of lack or non-accurate measurement data (e.g., stream water-sediment-nutrient measurements) at large catchment scale.…”

Linear scaling of precipitation-driven soil erosion in laboratory flumes

“…A good understanding of these factors and of their interactions is needed for predictions of sediment concentrations (Bryan, 2000;de Vente et al, 2013;Jomaa, 2012;Keesstra et al, 2016).…”