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Titel |
RUSLE2015, GIS-RWEQ and CENTURY: new modelling integration for soil loss and
carbon fluxes at European scale |
VerfasserIn |
Panos Panagos, Pasquale Borrelli, Emanuele Lugato |
Konferenz |
EGU General Assembly 2016
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Medientyp |
Artikel
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Sprache |
en
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 18 (2016) |
Datensatznummer |
250128355
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Publikation (Nr.) |
EGU/EGU2016-8338.pdf |
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Zusammenfassung |
Land degradation through erosion has been identified as major threat to European soils and
agriculture. During the last years, the Directorates General for Agriculture and for
Environment (plus EUROSTAT) require formal assessments and indicators on the state of
soil erosion for the European Union. Moreover, the European Soil Data Centre
(ESDAC) is the main data repository for soil threats at European scale. To meet
these needs we have worked with recognized research institutes and scientists to
develop a series of pan-EU modelling tools that estimate soil erosion by water and
wind.
Over the past three years, the European Commission Joint Research Centre has worked
to develop a modified RUSLE modelling approach, named RUSLE2015 and the
necessary input factors. These have all been peer reviewed and published as individual
papers in different refereed journals. The published soil erodibility map for Europe
has been modelled with the latest state of the art soil data (LUCAS) and a robust
geo-statistical model (Science of Total Environment, 479–480: 189–200). Rainfall erosivity
has been modelled after an extensive data collection of high temporal resolution
rainfall data and the compilation of Rainfall Erosivity Database at European Scale
(REDES) (Science of Total Environment, 511: 801-814). Cover-Management factor
has been modelled taking into account crop composition, management practices
(reduced tillage, plant residues, cover crops) and remote sensing data on vegetation
density (Land Use policy, 48C: 38-50). Topography has been modelled with the
recently published Digital Elevation Model at 25m resolution (Geosciences, 5:
117-126). Conservation and support practices have included the Good Agricultural
Environmental Condition (GAEC database) and the 270,000 earth observations of LUCAS
survey (Environmental Science & Policy 51: 23-34). The new assessment of soil
erosion by water in Europe has been recently published (Environmental Science &
Policy. 54: 438-447) and subsequently the core message focusing on soil erosion in
agricultural lands was published in a recent correspondence in Nature (Nature, 526, 195).
Additionally, the soil erosion potential for the European Union’s forests was modelled
using the high-resolution Global Forest Cover Loss map (2000–2012) and taking
into consideration the lodging, forest cuts and forest fires (Ecological Indicators,
60:1208-1220).
The first qualitative assessment of wind erosion at European scale has been done using
the Index of Land Susceptibility to Wind Erosion (ILSWE) (Sustainability, 7(7): 8823-8836).
The wind-erodible fraction of soil (EF) is one of the key parameters for estimating the
susceptibility of soil to wind erosion (Geoderma, 232-234: 471-478). ILSWE was created by
combining spatiotemporal variations of the most influential wind erosion factors such as
climatic erosivity, soil erodibility, vegetation cover and landscape roughness) (Land
Degradation & Development, 10.1002/ldr.2318). The quantitative assessment of
wind erosion has been concluded recently using Revised Wind Erosion Equation
(GIS-RWEQ).
Modelling the lateral carbon fluxes due to soil erosion both at national scale (Land Use
Policy, 50: 408-421) and at European scale (Global Change Biology, 10.1111/gcb.13198) is
an important milestone in climate change perspective. We coupled soil erosion into a
biogeochemistry model, running at 1 km2 resolution across the agricultural soils of the
European Union (EU). In the future, the soil erosion (by water and wind) modelling activities
will incorporate temporal variability, sediment transport and economic assessments of land
degradation. |
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