The cost of soil erosion in vineyard fields in the Penedès–Anoia Region (NE Spain)

CATENA ◽  
2006 ◽  
Vol 68 (2-3) ◽  
pp. 194-199 ◽  
Author(s):  
J.A. Martínez-Casasnovas ◽  
M.C. Ramos
Keyword(s):  
The Cost ◽  
2009 ◽  
Vol 13 (10) ◽  
pp. 1907-1920 ◽  
Author(s):  
M. Angulo-Martínez ◽  
M. López-Vicente ◽  
S. M. Vicente-Serrano ◽  
S. Beguería

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.


2020 ◽  
Vol 194 ◽  
pp. 04008
Author(s):  
Rong Hao ◽  
Shan Dan ◽  
He Jingli

Taking the mining wasteland formed in Xilinguole grassland as the research object, the ecological restoration mode of the soil and water conservation on mining wasteland was studied in the grassland. A test of water and soil conservation measures was conducted according to the characteristics of soil erosion, natural climate and etc., with the purpose of quickly restoring the damaged vegetation in mining wasteland and reducing soil erosion. The results showed four ecological restoration modes were used for the restoration on the mining wasteland, including “shrub”, “shrub + grass”, “ecological bag + grass” and “sand barriers + grass”. Two ecological restoration modes which was “shrub + grass” and “sand barriers + grass”, made the plant coverage reach more than 60%, the amount of wind erosion was less than 8.0 t/hm2, the amount of water erosion was less than 3900 t/km2•a, the effect of soil and water conservation and ecological restoration was better, and the cost of economic input was lower.


1978 ◽  
Vol 58 (4) ◽  
pp. 459-463 ◽  
Author(s):  
J. W. KETCHESON ◽  
L. R. WEBBER

Historically, special or intensive soil conservation methods have been recommended to control soil and water losses and maintain crop yields. However, farmers have not adopted these recommendations due to the high-energy input and the resulting reduction in high-value crop acreage. Crop yields do not appear to justify the cost of erosion control. Over a 10-yr period at Guelph, corn grown one year in a 4-yr rotation of corn, oats, hay and hay on runoff plots yielded 200–400 kg/ha above the average annual yield of corn grown continuously. Soil erosion losses averaged < 0.01 cm/yr from corn in rotation compared with 0.125 cm/yr from continuous corn. Under uniform cropping at the end of the period, corn grain yields did not reflect differences in soil erosion. In a subsequent 6-yr period, continuous corn with stover left on the soil surface and no tillage controlled soil erosion to < 0.01 cm/yr. The greatest soil and nutrient losses (0.36 cm soil, 87 kg N/ha and 59 kg P/ha/yr) occurred when stover was removed and the plots plowed in the fall. Corn grain yield was not reduced by these losses.


1996 ◽  
Vol 16 (2) ◽  
pp. 129-145 ◽  
Author(s):  
Knut H. Alfsen ◽  
Mario A. De Franco ◽  
Solveig Glomsrød ◽  
Torgeir Johnsen
Keyword(s):  

Actuality. Despite a nearly century-old history of erosion damage assessments, this issue has not yet been finally resolved. If the economic component of losses can be relatively easily calculated, then environmental and socio-environmental damage are almost impossible to calculate. Purpose. To show the possibilities and limitations of using individual indicators for assessment of damage and the environmental and economic justification of anti-erosion measures based on analysis of the environmental, economic and social consequences of soil erosion, and world experience in assessing damage from erosion. Results. Losses from erosion today are most often estimated by the mass of washed soil (t / ha), the cost of restoring lost nutrients and organic matter, as well as the cost of agricultural products lost due to reduced yields on eroded soils and stop cultivation of hard eroded soils. Soil losses are usually estimated by mathematical modeling. Different approaches to the assessment of losses give a ten-fold difference in the estimates, which reduces the credibility of them when making decisions. Land users are not interested in investing in anti-erosion measures more than the cost of the crop, which they can additionally receive. In Ukraine, this leads to a de facto neglect of the problem of erosion, which, developing on the principle of positive feedback, leads to the deepening of socio-economic problems and the deterioration of the country's food security Conclusions. To justify anti-erosion measures at the level of land users, the only reliable source for quantifying the potential damage from erosion is the shortage of agricultural products and the loss of soil organic matter and fertilizers. The real damage from erosion lies in the plane of global environmental processes and food security, therefore, the problem of erosion should be addressed at the national level.


2022 ◽  
Vol 20 (2) ◽  
Author(s):  
Abdul Kadir Jaelani

<p>This research aims at explaining the standardization of halal tourism management in West Nusa Tenggara. The result shows that the standardization of halal tourism management through Regional Regulation Number 2 of 2016 on Halal Tourism has not solved the problems of regional tourism such as good environmental maintenance from the increasingly damaged biology resource crisis, the deforestation, the limited water resources, soil erosion, sedimentation, abrasion on the cost, coral reef damage, littering 53% or about 250 ton plastic waste every day.  Even, this regional regulation is in contrary to the higher laws and religious nuances. <em></em></p>


2009 ◽  
Vol 6 (1) ◽  
pp. 417-453 ◽  
Author(s):  
M. Angulo-Martínez ◽  
M. López-Vicente ◽  
S. M. Vicente-Serrano ◽  
S. Beguería

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) has been used. Global, local and geostatistical interpolation techniques were employed to produce maps of the rainfall erosivity indices, as well as mixed methods (regression plus local interpolation). To determine the reliability of the maps several goodness-of-fit and error statistics were computed, using a cross-validation scheme. All methods represented correctly the spatial patterns of both erosivity indices, but the mixed approaches tended to be better overall considering the validation statistics. Additionally, they allowed identifying statistically significant relationships between rainfall erosivity and other geographical variables, as elevation and distance to the water bodies. All models had a relatively high uncertainty, caused by the high variability of rainfall erosivity indices both in time and space, what stresses the importance of using the longest data series available with a good spatial coverage.


Soil Research ◽  
2000 ◽  
Vol 38 (2) ◽  
pp. 285 ◽  
Author(s):  
G. J. Sheridan ◽  
H. B. So ◽  
R. J. Loch ◽  
C. Pocknee ◽  
C. M. Walker

Prediction of hillslope-scale soil erosion traditionally involves extensive data collection from field plots under natural rainfall, or from field rainfall simulation programs. Recognising the high costs and inconvenience associated with field-based studies, a method was developed and tested for predicting hillslope-scale soil erosion from laboratory-scale measurements of erodibility. A laboratory tilting flume and rainfall simulator were used to determine rill and interill erodibility coefficients for 32 soils and overburdens from Queensland open-cut coal mines. Predicted sediment delivery rates based on laboratory determinations of erodibility were tested against field measurements of erosion from 12-m-long plots under simulated rainfall at 100 mm/h on slopes ranging from 5% to 30%. Regression analysis demonstrated a strong relationship between predicted and measured sediment delivery rates, giving an r2 value of up to 0.74, depending on the particular modeling approach used. These results demonstrate that soil losses due to the combined processes of rill and interill erosion at the hillslope scale can successfully be predicted from laboratory-scale measurements of erodibility, provided a suitable methodology and modelling approach is adopted. The success of this approach will greatly reduce the cost and effort required for prediction of hillslope scale soil erosion.


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