SCALES: a large‐scale assessment model of soil erosion hazard in Basse‐Normandie (northern‐western France)
Identifieur interne : 000703 ( Main/Exploration ); précédent : 000702; suivant : 000704SCALES: a large‐scale assessment model of soil erosion hazard in Basse‐Normandie (northern‐western France)
Auteurs : P. Le Gouée [France] ; D. Delahaye [France] ; M. Bermond [France] ; M. Marie [France] ; J. Douvinet [France] ; V. Viel [France]Source :
- Earth Surface Processes and Landforms [ 0197-9337 ] ; 2010-06-30.
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Abstract
The cartography of erosion risk is mainly based on the development of models, which evaluate in a qualitative and quantitative manner the physical reproduction of the erosion processes (CORINE, EHU, INRA). These models are mainly semi‐quantitative but can be physically based and spatially distributed (the Pan‐European Soil Erosion Risk Assessment, PESERA). They are characterized by their simplicity and their applicability potential at large temporal and spatial scales. In developing our model SCALES (Spatialisation d'éChelle fine de l'ALéa Erosion des Sols/large‐scale assessment and mapping model of soil erosion hazard), we had in mind several objectives: (1) to map soil erosion at a regional scale with the guarantee of a large accuracy on the local level, (2) to envisage an applicability of the model in European oceanic areas, (3) to focus the erosion hazard estimation on the level of source areas (on‐site erosion), which are the agricultural parcels, (4) to take into account the weight of the temporality of agricultural practices (land‐use concept). Because of these objectives, the nature of variables, which characterize the erosion factors and because of its structure, SCALES differs from other models. Tested in Basse‐Normandie (Calvados 5500 km2) SCALES reveals a strong predisposition of the study area to the soil erosion which should require to be expressed in a wet year. Apart from an internal validation, we tried an intermediate one by comparing our results with those from INRA and PESERA. It appeared that these models under estimate medium erosion levels and differ in the spatial localization of areas with the highest erosion risks. SCALES underlines here the limitations in the use of pedo‐transfer functions and the interpolation of input data with a low resolution. One must not forget however that these models are mainly focused on an interregional comparative approach. Therefore the comparison of SCALES data with those of the INRA and PESERA models cannot result on a convincing validation of our model. For the moment the validation is based on the opinion of local experts, who agree with the qualitative indications delivered by our cartography. An external validation of SCALES is foreseen, which will be based on a thorough inventory of erosion signals in areas with different hazard levels. Copyright © 2010 John Wiley & Sons, Ltd.
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DOI: 10.1002/esp.1942
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Because of these objectives, the nature of variables, which characterize the erosion factors and because of its structure, SCALES differs from other models. Tested in Basse‐Normandie (Calvados 5500 km2) SCALES reveals a strong predisposition of the study area to the soil erosion which should require to be expressed in a wet year. Apart from an internal validation, we tried an intermediate one by comparing our results with those from INRA and PESERA. It appeared that these models under estimate medium erosion levels and differ in the spatial localization of areas with the highest erosion risks. SCALES underlines here the limitations in the use of pedo‐transfer functions and the interpolation of input data with a low resolution. One must not forget however that these models are mainly focused on an interregional comparative approach. Therefore the comparison of SCALES data with those of the INRA and PESERA models cannot result on a convincing validation of our model. For the moment the validation is based on the opinion of local experts, who agree with the qualitative indications delivered by our cartography. An external validation of SCALES is foreseen, which will be based on a thorough inventory of erosion signals in areas with different hazard levels. Copyright © 2010 John Wiley & Sons, Ltd.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Basse-Normandie</li><li>Région Normandie</li></region><settlement><li>Caen</li></settlement></list><tree><country name="France"><region name="Région Normandie"><name sortKey="Le Gouee, P" sort="Le Gouee, P" uniqKey="Le Gouee P" first="P." last="Le Gouée">P. Le Gouée</name></region><name sortKey="Bermond, M" sort="Bermond, M" uniqKey="Bermond M" first="M." last="Bermond">M. Bermond</name><name sortKey="Delahaye, D" sort="Delahaye, D" uniqKey="Delahaye D" first="D." last="Delahaye">D. Delahaye</name><name sortKey="Douvinet, J" sort="Douvinet, J" uniqKey="Douvinet J" first="J." last="Douvinet">J. Douvinet</name><name sortKey="Le Gouee, P" sort="Le Gouee, P" uniqKey="Le Gouee P" first="P." last="Le Gouée">P. Le Gouée</name><name sortKey="Le Gouee, P" sort="Le Gouee, P" uniqKey="Le Gouee P" first="P." last="Le Gouée">P. Le Gouée</name><name sortKey="Marie, M" sort="Marie, M" uniqKey="Marie M" first="M." last="Marie">M. Marie</name><name sortKey="Viel, V" sort="Viel, V" uniqKey="Viel V" first="V." last="Viel">V. Viel</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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