A simplified Excel tool for implementation of RUSLE2 in vineyards for stakeholders with limited dataset
Abstract
Data di Pubblicazione:
2016
Abstract:
Analysis with simulation models is in many situations the only way to evaluate the impact of changes in soil
management on soil erosion risk, and the Revised Universal Soil Loss Equation RUSLE (Renard et al. 1997,
Dabney et al. 2012) remains as the most widely used. Even with their relative simplicity compared to other, more
process based, erosion models proper RUSLE calibration for a given situation outside the modelling community
can be challenging, especially in situations outside of those widely covered in the USA.
An approach pursued by Gómez et al. (2003) to overcome this problems for calibrating RUSLE, specially the
cover-management factor, C, was to build a summary model using the equations defined by the RUSLE manual
(Renard et al. 1997) but considering that the basic information required to calibrate the subfactors, such as soil
surface roughness and ground cover, soil moisture, . . . were calculated (or taken from available sources) elsewhere
and added to the summary model instead of calculated by the RUSLE software. This strategy simplified the
calibration process as well as the understanding and interpretation of the RUSLE parameters and model behavior
by on-expert users for its application in olive orchards under a broad range of management conditions. Gómez et
al. (2003) build this summary model in Excel and demonstrated the ability to calibrate RUSLE for a broad range
of management conditions. Later on several studies (Vanwalleghem et al., 2011, Marin, 2013) demonstrated how
this summary model successfully predicted soil losses at hillslope scale close to those determined experimentally.
Vines are one of the most extended tree crops covering a wide range of environmental and management
conditions, and conceptually present in terms of soil conservation several analogies with olives especially in
relation to soil management (Gomez et al., 2011). In vine growing areas, besides topographic and rainfall
characteristics, the soil management practices adopted in vineyards could favor erosion. Cultivation with rows
running up-and-down the slope on sloping vineyards, maintenance of bare soil, compaction due to high traffic
of machinery are some of the vineyard's management practices that expose soil to degradation, favoring runoff
and soil erosion processes. On the other side, the adoption of grass cover in vineyards has a fundamental role
in soil protection against erosion, in case of high rainfall intensity and erosivity. This communication presents a
preliminary version of a summary model to calibrate RUSLE for vines under different soil management options
following an approach analogous to that used by Gómez et al. (2003) for olive orchards in a simplified situation of
an homogeneous hillslope, including the latest RUSLE conceptual updates (RUSLE2, Dabney et al., 2012). It also
presents preliminary results for different values of the C factor under different soil management and environmental
conditions, as well as its impact on predicted soil losses in the long term in vineyards located in Southern Spain
and N Italy.
Tipologia CRIS:
01.05 Abstract in rivista
Keywords:
vines; erosion; soil management; RUSLE; model
Elenco autori:
Cavallo, Eugenio; Biddoccu, Marcella
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