Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

Fiener, Peter; Auerswald, K.; Oost, Kristof Van

doi:10.1016/j.earscirev.2011.01.004

Cited by 118 publications

(77 citation statements)

References 116 publications

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“…Water erosion is the main cause of soil degradation [1]. Land use is one of the most important factors influencing soil erosion because of its effects on variations in surface roughness, the organic content of soil, the soil structure and infiltration rate and the hydraulic connectivity within a catchment, all of which make important contributions to the spatial and temporal dynamics of hillslope hydrology and sediment production, transport and delivery to rivers [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Effects of Land Use and Slope Gradient on Soil Erosion in a Red Soil Hilly Watershed of Southern China

et al. 2015

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Abstract:A study was undertaken to develop an appropriate plan of land use under suitable slope gradient to control soil erosion from a red soil hilly watershed of southern China by using the GeoWEPP (Geo-spatial Interface for the Water Erosion Prediction Project) model. The model was calibrated and validated using monitoring data of the outlet from 2010 to 2012, in which the 2010 and 2012 annual total runoff and sediment yield data were used for calibration, and the 2011 monthly runoff and sediment yield data for validation. The performance of the model in validation period were good with a high coefficient of determination values of 0.98 and 0.93 and Nash-Sutcliffe simulations of 0.96 and 0.91 while low root mean square error values of 6.91 mm and 0.35 t respectively for runoff and sediment yield. Subsequently, the model was used to simulate four typical land use (forest, farm, orchard, and fallow land) in the study area to evaluate their impacts on soil erosion production. The results showed that the runoff decreased by 44.7% and 61.1% for forest and orchard land compared to the current land use, as well as the sediment yield OPEN ACCESSSustainability 2015, 7 14310 decreased by 43.7% and 68.6%. While the runoff and sediment yield increased by 52.2% and 42.6% for farm land, and 48.8% and 29.6% for fallow land. As the same time, soil erosion increased with increasing of the slope gradient of the quadratic regression equation for all land use. The critical slope gradient of 15° for returning the farmland to forest or others is suitable in the red soil region but is not accurate. The result of the study provides good scientific evidence for developing an appropriate plan of land use in the watershed and other similar areas.

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Section: Introductionmentioning

confidence: 99%

Effects of Land Use and Slope Gradient on Soil Erosion in a Red Soil Hilly Watershed of Southern China

et al. 2015

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“…porosity, used in many modelling approaches. The second is associated with the seasonality of plant and residue cover potentially protecting the soils from crusting (for a review see Fiener et al, 2011a). Despite the developments in our understanding of individual processes in specific cases, it remains difficult to predict which processes govern runoff generation while soil and vegetation are passing many states during a crop rotation.…”

Section: P Fiener Et Al: Surface Runoff From Arable Fields In Centrmentioning

confidence: 99%

“…the THREW model; Li et al, 2012), it remains challenging to account for the specific temporal and spatial variability of soil and crop characteristics in agricultural landscapes (Fiener et al, 2011a;Green et al, 2003), which may affect infiltration. This challenge results from the interaction with agronomic decisions dominating the soilvegetation system by influencing (i) the seasonal variability of soil properties and surface roughness depending on tillage operations and (ii) the associated seasonality of plant growth.…”

Section: P Fiener Et Al: Surface Runoff From Arable Fields In Centrmentioning

confidence: 99%

Statistical analysis and modelling of surface runoff from arable fields in central Europe

Fiener

Auerswald²,

Winter³

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. Surface runoff generation on arable fields is an important driver of flooding, on-site and off-site damages by erosion, and of nutrient and agrochemical transport. In general, three different processes generate surface runoff (Hortonian runoff, saturation excess runoff, and return of subsurface flow). Despite the developments in our understanding of these processes it remains difficult to predict which processes govern runoff generation during the course of an event or throughout the year, when soil and vegetation on arable land are passing many states. We analysed the results from 317 rainfall simulations on 209 soils from different landscapes with a resolution of 14 286 runoff measurements to determine temporal and spatial differences in variables governing surface runoff, and to derive and test a statistical model of surface runoff generation independent from an a priori selection of modelled process types. Measured runoff was related to 20 time-invariant soil properties, three variable soil properties, four rain properties, three land use properties and many derived variables describing interactions and curvilinear behaviour. In an iterative multiple regression procedure, six of these properties/variables best described initial abstraction and the hydrograph. To estimate initial abstraction, the percentages of stone cover above 10 % and of sand content in the bulk soil were needed, while the hydrograph could be predicted best from rain depth exceeding initial abstraction, rainfall intensity, soil organic carbon content, and time since last tillage. Combining the multiple regressions to estimate initial abstraction and surface runoff allowed modelling of event-specific hydrographs without an a priori assumption of the underlying process. The statistical model described the measured data well and performed equally well during validation. In both cases, the model explained 71 and 58 % of variability in accumulated runoff volume and instantaneous runoff rate (RSME: 5.2 mm and 0.23 mm min −1 , respectively), while RMSE of runoff volume predicted by the curve number model was 50 % higher (7.7 mm). Stone cover, if it exceeded 10 %, was most important for the initial abstraction, while time since tillage was most important for the hydrograph. Time since tillage is not taken into account either in typical lumped hydrological models (e.g. SCS curve number approach) or in more mechanistic models using Horton, Green and Ampt, or Philip type approaches to address infiltration although tillage affects many physical and biological soil properties that subsequently and gradually change again. This finding should foster a discussion regarding our ability to predict surface runoff from arable land, which seemed to be dominated by agricultural operations that introduce man-made seasonality in soil hydraulic properties.

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“…While soil and relief characteristics of fields have little change from year to year, precipitation and farming practices may vary strongly over time. The time-dependent combined effects of precipitation and cultivation practices and crop patterns are crucial for soil erosion in any given area (Fiener et al, 2011). The plant cover and cultivation practices are among the most important factors explaining the intensity of soil erosion, comparing rainfall intensity and slope gradient (Kosmas et al, 1997;Wainwright and Thornes, 2004).…”

Section: Introductionmentioning

confidence: 99%

The Effect of Crops Cultivation on Soil Erosion Indices Based on Impelero Model in Northeast Iran

Afshar¹

2018

Appl. Ecol. Env. Res.

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Abstract. In the present study an integrated neural network based model named ImpelERO was applied to estimate the impact of conventional cropping system on erosion indices, including soil vulnerability index, erosion risk class and soil loss rates by potato, alfalfa and maize plantations. Our results revealed that the soil vulnerability indices ranged from 0.21 to 0.52, 0.15 to 0.41 and 0.2 to 0.5 by potato, alfalfa and maize cultivations, respectively. The values of erosion risk classes by potato and maize cultivation ranged from V1 to V4 in which categorize the region as non-sensitive to very sensitive to erosion and by alfalfa cultivation varied between V1 to V3 which classify the study area as non-sensitive to sensitive to erosion The values of soil losses varied between 7.1 to 59 t ha -1 yr -1 with an average of 15.11 t ha -1 yr -1 by potato, 4.9 to 32.4 t ha -1 yr -1 with an average of 8.42 t ha -1 yr -1 by alfalfa and 6.8 to 52.7 t ha -1 yr -1 with an average of 13.65 t ha -1 yr -1 by maize cultivation. It was concluded that planting perennial alfalfa compared to row planted potato and maize has a great effect on controlling soil erosion and its indices at the study area.

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Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

Cited by 118 publications

References 116 publications

Effects of Land Use and Slope Gradient on Soil Erosion in a Red Soil Hilly Watershed of Southern China

Effects of Land Use and Slope Gradient on Soil Erosion in a Red Soil Hilly Watershed of Southern China

Statistical analysis and modelling of surface runoff from arable fields in central Europe

The Effect of Crops Cultivation on Soil Erosion Indices Based on Impelero Model in Northeast Iran

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