In ecological impact assessments, wildlife habitats sensibility is determined by experts, and is often difficult to be demonstrated from an objective point of view. However, standardized methods are lacking for producing spatial analyses compiling various ecological sensibilities on site. By linking the European protection classifications to local parameters, the method described fills the gap in
... [Show full abstract] assessing sites conservation value at a regional level. Thus, high conservation perimeters can be traced more precisely from an accurate delineation of classified habitats. With field data, a geospatial model is applied to generate a unique index for each habitat unit. The method merges qualitative and quantitative observations made over small landscape units and helps evaluating ecological sensitivity. Using European sensitive species and habitats classifications, the geospatial model can be applied to add value to any ecological assessment by putting in place standardized calculations where the output can be easily verified and demonstrated.
Several European protected species categories and ranking is utilized to calculate indices for every listed taxon. This index is then weighted based on parameters observed locally, such as species population density and habitat quality, or level of environmental degradation. Species occurrences and associated taxa values are aggregated together within a habitat. A synthesis is produced by calculating indices for distinct habitat patches for each biological group. This quantitative evaluation method provides an efficient tool to draw information from field data and European environmental indicators, to generate a scaled and comprehensive analysis. Flora, fauna, and habitat conservation values can be assessed and compared on a similar basis for various places, highlighting locations where a combination of species of interest is present in a suitable habitat.