RISKY | Wildlife-friendly energy and transport infrastructures

Here you can find shapefiles from different publications with sensitivity maps:Griloetal2020RoadkillRiskEurope - has the cumulative predicted number of birds (NBirdsroadkill) and mammals (NMammalsRoadkill) killed on gthe roads per year published at Grilo, C., Koroleva, E., Andrášik, R., Bíl, M., & González-Suárez, M. (2020). Roadkill risk and population vulnerability in European birds and mammals. Frontiers in Ecology and the Environment, 18(6), 323–328. https://doi.org/10.1002/fee.2216Grilo et al 2021 N_Mammals has the number of mammal species for which roadkill of Grilo,C., Borda-de-ÁguaL., BejaP., GoolsbyE., SoanesK., le RouxA., KorolevaE., FerreiraF. Z., GagnéS. A., WangY., & González-SuárezM. (2021). Conservation threats from roadkill in the global road network. Global Ecology and Biogeography, 30, 2200–2210. https://doi.org/10.1111/geb.13375Medrano-Vizcaino et al 2022 Fig 4a - Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At Medrano-Vizcaíno,P., Grilo,C., Silva Pinto,F. A., Carvalho,W. D., Melinski,R. D., Schultz,E. D., & González-Suárez,M. (2022). Roadkill patterns in Latin American birds and mammals. Global Ecology and Biogeography, 31, 1756–1783. https://doi.org/10.1111/geb.13557Medrano-Vizcaino et al 2022 Fig 4b - Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At Medrano-Vizcaíno,P., Grilo,C., Silva Pinto,F. A., Carvalho,W. D., Melinski,R. D., Schultz,E. D., & González-Suárez,M. (2022). Roadkill patterns in Latin American birds and mammals. Global Ecology and Biogeography, 31, 1756–1783. https://doi.org/10.1111/geb.13557