scholarly journals Strategic switchgrass ( Panicum virgatum ) production within row cropping systems: Regional‐scale assessment of soil erosion loss and water runoff impacts

GCB Bioenergy ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 955-967
Author(s):  
Enheng Wang ◽  
Richard M. Cruse ◽  
Bharat Sharma‐Acharya ◽  
Daryl E. Herzmann ◽  
Brian K. Gelder ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Panicum Virgatum ◽  
Cropping Systems ◽  
Regional Scale ◽  
Water Runoff ◽  
Scale Assessment ◽  
Erosion Loss

Plastic Covered Cropping Systems: Runoff Patterns and Soil Erosion Rates

2011 ◽  
Author(s):  
Sebastian Arnhold ◽  
Christopher L Shope ◽  
Bernd Huwe
Keyword(s):  
Soil Erosion ◽  
Cropping Systems ◽  
Erosion Rates ◽  
Soil Erosion Rates

scholarly journals Basin-Scale Approach to Integration of Agro- and Hydroecological Monitoring for Sustainable Environmental Management: A Case Study of Belgorod Oblast, European Russia

2022 ◽  
Vol 14 (2) ◽  
pp. 927
Author(s):  
Zhanna Buryak ◽  
Fedor Lisetskii ◽  
Artyom Gusarov ◽  
Anastasiya Narozhnyaya ◽  
Mikhail Kitov
Keyword(s):  
Environmental Management ◽  
Soil Erosion ◽  
River Basin ◽  
River Basins ◽  
European Russia ◽  
Water Runoff ◽  
Belgorod Oblast ◽  
Water Quality Control ◽  
Basin Scale ◽  
Seventh Order

The quantitative and qualitative depletion of water resources (both surface and groundwater) is closely related to the need to protect soils against degradation, rationalization of land use, and regulation of surface water runoff within the watershed area. Belgorod Oblast (27,100 km2), one of the administrative regions of European Russia, was chosen as the study area. It is characterized by a high activity of soil erosion (the share of eroded soils is about 48% of the total area of arable land). The development phase of the River Basin Environmental Management Projects (217 river basins from the fourth to seventh order) allowed for the proceeding of the development of an integrated monitoring system for river systems and river basin systems. The methods used to establish a geoecological network for regional monitoring include the selection and application of GIS techniques to quantify the main indicators of ecological state and predisposition of river basins to soil erosion (the share of cropland and forestland, the share of the south-oriented slopes, soil erodibility, Slope Length and Steepness (LS) factor, erosion index of precipitation, and the river network density) and the method of a hierarchical classification of cluster analysis for the grouping of river basins. An approach considering the typology of river basins is also used to expand the regional network of hydrological gauging stations to rationalize the national hydrological monitoring network. By establishing 16 additional gauging stations on rivers from the fourth to seventh order, this approach allows for an increase in the area of hydro-agroecological monitoring by 1.26 times (i.e., up to 77.5% of the total area of Belgorod Oblast). Some integrated indicators of agroecological (on the watershed surface) and hydroecological (in river water flow) monitoring are proposed to improve basin environmental management projects. Six-year monitoring showed the effectiveness of water quality control measures on an example of a decrease in the concentrations of five major pollutants in river waters.

Nitrate Leaching in Californian Rice Fields: A Field- and Regional-Scale Assessment

2014 ◽  
Vol 43 (3) ◽  
pp. 881-894 ◽  
Author(s):  
X. Q. Liang ◽  
T. Harter ◽  
L. Porta ◽  
C. van Kessel ◽  
B. A. Linquist
Keyword(s):  
Nitrate Leaching ◽  
Regional Scale ◽  
Rice Fields ◽  
Scale Assessment

scholarly journals Describing and locating cropping systems on a regional scale. A review

2010 ◽  
Vol 30 (1) ◽  
pp. 131-138 ◽  
Author(s):  
Delphine Leenhardt ◽  
Frédérique Angevin ◽  
Anne Biarnès ◽  
Nathalie Colbach ◽  
Catherine Mignolet
Keyword(s):  
Cropping Systems ◽  
Regional Scale

scholarly journals Mapping rainfall erosivity at a regional scale: a comparison of interpolation methods in the Ebro Basin (NE Spain)

2009 ◽  
Vol 13 (10) ◽  
pp. 1907-1920 ◽  
Author(s):  
M. Angulo-Martínez ◽  
M. López-Vicente ◽  
S. M. Vicente-Serrano ◽  
S. Beguería
Keyword(s):  
Soil Erosion ◽  
Prediction Models ◽  
Regional Scale ◽  
Geostatistical Simulation ◽  
High Temporal Resolution ◽  
Rainfall Erosivity ◽  
Ebro Basin ◽  
Spatial Coverage ◽  
Interpolation Techniques ◽  
Ne Spain

Abstract. Rainfall erosivity is a major causal factor of soil erosion, and it is included in many prediction models. Maps of rainfall erosivity indices are required for assessing soil erosion at the regional scale. In this study a comparison is made between several techniques for mapping the rainfall erosivity indices: i) the RUSLE R factor and ii) the average EI30 index of the erosive events over the Ebro basin (NE Spain). A spatially dense precipitation data base with a high temporal resolution (15 min) was used. Global, local and geostatistical interpolation techniques were employed to produce maps of the rainfall erosivity indices, as well as mixed methods. To determine the reliability of the maps several goodness-of-fit and error statistics were computed, using a cross-validation scheme, as well as the uncertainty of the predictions, modeled by Gaussian geostatistical simulation. All methods were able to capture the general spatial pattern of both erosivity indices. The semivariogram analysis revealed that spatial autocorrelation only affected at distances of ~15 km around the observatories. Therefore, local interpolation techniques tended to be better overall considering the validation statistics. All models showed high uncertainty, caused by the high variability of rainfall erosivity indices both in time and space, what stresses the importance of having long data series with a dense spatial coverage.

Regional-scale assessment of environmental vulnerability in an arid inland basin

2020 ◽  
Vol 109 ◽  
pp. 105792 ◽  
Author(s):  
Wei Wei ◽  
Sane Shi ◽  
Xueyuan Zhang ◽  
Liang Zhou ◽  
Binbin Xie ◽  
...  
Keyword(s):  
Regional Scale ◽  
Environmental Vulnerability ◽  
Scale Assessment
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