Modeling of the black frame in Occitanie

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Dataset information

Country of origin
Updated
2022.04.06 00:00
Created
2021.06.23
Available languages
French
Keywords
occitanie, lumineuse, pollution, noire, region, trame
Quality scoring
125

Dataset description

This dataset presents the black frame modeling data in Occitania, which comes from the study “Production of a mapping of light pollution in the Occitania Region” undertaken as part of the Regional Biodiversity Strategy (SrB), conducted by the Occitanie Region with the support of the design offices La Telescop and DarkSkyLab. Data are broken down by subframe (Tanks and Corridors) in resources. All resources must be downloaded to obtain the complete black frame modeling. The term “black strip” refers to all ecological corridors characterised by a certain darkness and borrowed by nocturnal species. The objective is to limit the degradation and fragmentation of natural habitats due to artificial lighting through an ecological network of reservoirs and corridors conducive to night biodiversity. Indeed, light pollution disrupts many species leading to major causes of biodiversity erosion. Through the study “Production of a mapping of light pollution in Occitanie”, Occitanie wants to raise awareness and mobilise local actors in taking into account the impacts of public lighting on both biodiversity and human health. This study is based on: \- The mapping of light pollution (scale 1/100 000th identical to that of the Regional Ecological Coherence Schemes (SRCE)) through the acquisition of satellite data. \- The identification of the “black strip” of the territory by means of a deductive approach, i.e. an overlap of ecological networks (windows and corridors) and light pollution. \- Pilot experiments of the various actors mobilised throughout the study (natural parks, communities, associations, research structures, etc.). For more details about these data, you can refer to the methodological guide in the resources. This document sets out in detail the technical modalities and the benefits and limitations of the study.
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