Vineyards present some of the largest erosion rates reported in agricultural areas in Europe, although there is a large variability in reported rates. This is because under the same land use, erosional processes are highly affected by climate, soil, topography and by the adopted soil management practices (SMP). The choice of SMP to be adopted is the main way for farmers to control soil erosion and at the same time to increase other ecosystem services in vineyards. The Revised Universal Soil Loss Equation (RUSLE) is commonly adopted to estimate rates of water erosion on cropland under different forms of land use and management. The identification of a proper value of the soil cover and management (C) factor is essential to obtain a reliable evaluation of soil erosion rates in a given area and for a specific land use. This paper presents the preliminary version of the analysis of erosion risk in vineyards, using ORUSCAL, which is a simplified erosion prediction model that is designed to calibrate RUSLE for a range of management conditions in vineyards with limited datasets. The analysis has been carried out in three wine-growing areas in Spain, Italy and Austria. The aim was to provide estimations of C-values and to explore the erosion risk under different SMP in winegrowing areas across Europe.

Evaluation of soil erosion risk and identification of soil cover and management factor (C) for RUSLE in European vineyards with different soil management

Biddoccu M;Capello G;Cavallo E;
2019

Abstract

Vineyards present some of the largest erosion rates reported in agricultural areas in Europe, although there is a large variability in reported rates. This is because under the same land use, erosional processes are highly affected by climate, soil, topography and by the adopted soil management practices (SMP). The choice of SMP to be adopted is the main way for farmers to control soil erosion and at the same time to increase other ecosystem services in vineyards. The Revised Universal Soil Loss Equation (RUSLE) is commonly adopted to estimate rates of water erosion on cropland under different forms of land use and management. The identification of a proper value of the soil cover and management (C) factor is essential to obtain a reliable evaluation of soil erosion rates in a given area and for a specific land use. This paper presents the preliminary version of the analysis of erosion risk in vineyards, using ORUSCAL, which is a simplified erosion prediction model that is designed to calibrate RUSLE for a range of management conditions in vineyards with limited datasets. The analysis has been carried out in three wine-growing areas in Spain, Italy and Austria. The aim was to provide estimations of C-values and to explore the erosion risk under different SMP in winegrowing areas across Europe.
2019
Istituto per le Macchine Agricole e Movimento Terra - IMAMOTER - Sede Ferrara
Inglese
Global Symposium on Soil Erosion
246
250
5
978-92-5-131684-9
http://www.fao.org/3/ca5582en/CA5582EN.pdf
FAO - Food and Agriculture Organization
Roma
ITALIA
Sì, ma tipo non specificato
15-17 MAY 2019
FAO headquarters, Rome, Italy
vineyard
erosion
soil management
RUSLE
model
Italy
Spain
Austria
The CNR Short Term Mobility Program 2016 funded a stay at IAS-CSIC during which M.Biddoccu contributed to this study.
3
none
Biddoccu M; Guzmán G; Thielke T; Strauss P; Winter S; Zaller; J G; Capello G; Cavallo E;Gómez; J A
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/390668
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