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 semiquantitative 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 fi ne 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 km 2 ) 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.
(West Africa, Lower Normandy, Galicia and Southern England). We will first strive to study the production of landscape as the result of individual practices responding to process corresponding to daily practices "useful" but also "pleasant" practices. From this angle, ana-
Depuis les années 1960, la superficie des exploitations agricoles du Grand-Ouest n'a cessé d'augmenter. Dans la course à l'agrandissement, les conflits d'usages pour le foncier ont contraint les exploitants à reprendre des terres éloignées de leur siège d'exploitation. L'organisation parcellaire qui en résulte rend la gestion des fermes de plus en plus complexe. Alors que les remembrements (nommés Aménagements Fonciers Agricoles et Forestiers depuis 2005) ont longtemps été mobilisés pour réorganiser le parcellaire, ils se font de plus en plus rares et semblent laisser la place à une nouvelle forme d'intervention : l'échange parcellaire. Cette démarche repose sur la participation volontaire des exploitants et ne s'appuie plus sur la maîtrise d'ouvrage du conseil départemental, mais sur l'animation des Chambres d'agriculture. À partir d'une observation participante dans plusieurs opérations en cours ainsi qu'une dizaine d'entretiens menés auprès d'exploitants, cet article présente cette dynamique et questionne l'implication nouvelle des acteurs, ses effets sur la restructuration parcellaire et sur les rapports sociaux entre exploitants. La relative souplesse de cet outil, qui contraste avec le cadre autoritaire du remembrement, semble conditionner le profil des participants et générer des rapports de force entre ces derniers nous conduisant à interroger l'efficacité d'une telle démarche.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.