Dataset Direct Download Service (WFS): Wet-dominated areas by known modelling in Champagne-Ardenne

To have a view of the Great East we advise you to use the above map entitled "Extract from the National Map of Potential Wetlands of France (extraction of this map on Grand Est) rather than the layer titled "Damp Dominant Areas by Modelling Known in Champagne-Ardenne” This map models envelopes that, according to geomorphological and climatic criteria, are likely to contain wetlands within the meaning of the amended Order of 24 June 2008. The extension envelopes of potentially wet habitats are represented in three probability classes (somewhat strong, strong and very strong). Predicting wetlands is a major challenge in designing and implementing a coherent national policy to preserve these fragile but essential ecosystems that are involved in the production of many ecosystem services. Strongly linked to the topographical situation, the occurrence of potential wetlands is mainly conditioned by geomorphology, precipitation and denivelines in the watercourse. This study tests the development and implementation of a method based on the combination of a topo-climatic index (Mérot et al., 2003) with stream deniveline to predict the spatial distribution of potential wetlands at the level of metropolitan France. Modelling carried out by Infosol d’Orléans and UMR SAS in Rennes/Quimper. Web link: http://geowww.agrocampus-ouest.fr/metadata/pdf/Notice_MPH_France-1.pdf ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************** Metadata corresponding to the layer: “Wet Dominant Areas by Modelling Known in Champagne-Ardenne” “Wetlands (WZ) are defined as land, whether or not exploited, usually flooded or gorgated with fresh water, salted or brackish permanently or temporarily; vegetation, where it exists, is dominated by hygrophilic plants for at least part of the year” (Article L. 211-1 of the Environmental Code). * Dominante Humid Areas (DHZs) are likely areas of wetlands corresponding to this definition but for which the “wet” character under the Water Act cannot be guaranteed at 100 %. This probability of presence could be established by two different categories of methods: by modelling or by diagnosis (photo-interpretation, field surveys, etc.). These areas include wetlands and diverse territories between these wetlands (Examples: a set of bogs, a set of ponds or marshes, an estuary, a bay, a portion of valley). Wet-dominated areas are warning or pre-location zones of wetlands or potentially wet habitats. These are areas identified as particularly rich a priori in wetlands, therefore requiring special vigilance in this regard in relation to the rest of the territory (which, of course, may also contain wetlands but at a lower density). They can guide when an inventory of so-called “water law” wetlands is envisaged. In the absence of a more accurate inventory, these areas should be preserved. These data are the result of the selection, fusion and subsequent assembly of cartographic data from a selection of studies and inventories carried out in the region up to 2015. For the so-called “modelling” data, they were finally disaggregated to convert them into different formats without the risk of error. They will be completed as new knowledge is acquired. These studies and inventories shall be based in particular on: — pre-location by modelling; pre-location by photo-interpretation; — field inventories which do not conclude with certainty the wet character according to the criteria “vegetation” or “pedology” listed in the Ministerial Order of 24 June 2008 as amended by the Order of 1 October 2009; — habitat maps “pro parte” listed in the Ministerial Order of 24 June 2008 as amended by the Order of 1 October 2009. The last three subparagraphs containing the so-called diagnostic methods. However, not all of these areas are demarcated on a parcel scale. In order to obtain this level of precision, it is then necessary to carry out complementary inventories on the ground in accordance with the methodology and criteria set out in the ministerial decree cited above. Finally, these data present only a state of the knowledge currently acquired and cannot be regarded as exhaustive.