caa a22 4500 605526974 CHVBK 20210128100806.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s10531-015-0988-3 doi (NATIONALLICENCE)springer-10.1007/s10531-015-0988-3 Mixed sampling protocols improve the cost-effectiveness of roadkill surveys [Elektronische Daten] [Aline Costa, Fernando Ascensão, Alex Bager] Road mortality due to animal vehicle collisions hasserious negative effects on population viability, demanding urgent implementation of mitigation measures where most required. Data from roadkill surveys is generally used to choose the best mitigation measures, but there is a lack of knowledge about the sampling intensity required for surveys to effectively detect roadkill patterns. Improving the cost-effectiveness of road surveys could free up limited resources that, in turn, could be used to obtain a better perception of road impacts and mitigation effectiveness elsewhere. We evaluate the possibility of improving road survey cost-effectiveness by comparing the spatial patterns obtained when using a weekly versus monthly survey and year-round versus seasonal surveys. We analyzed a roadkill dataset, previously collected over 2years in southern Brazil, and applied two criteria for assessing the effectiveness of two alternative survey protocols: tradeoff between sampling effort and sample size; and similarity in spatial patterns. We found support favoring monthly surveys for those taxa in which roadkill was not markedly temporally clustered, as was the case for larger mammals. However, performing weekly surveys over shorter periods may significantly improve cost-effectiveness for taxa with peaks in mortality if surveys are performed during those periods when roadkill is most likely to occur. We suggest applying a mix of sampling protocols, with intensive surveys during warmer periods for reptiles and other taxa with peak roadkill at these times while, for the rest of the year, a monthly survey could be used to improve detection of rarer species. Springer Science+Business Media Dordrecht, 2015 Road ecology nationallicence Road monitoring nationallicence Sample size nationallicence Spatial pattern nationallicence Kernel density estimation nationallicence Vertebrates nationallicence Brazil nationallicence Costa Aline Brazilian Center for Road Ecology (CBEE), Ecology Sector, Department of Biology, Federal University of Lavras, Campus Universitário, CP 3037, CEP 37200-000, Lavras, MG, Brazil aut Ascensão Fernando Brazilian Center for Road Ecology (CBEE), Ecology Sector, Department of Biology, Federal University of Lavras, Campus Universitário, CP 3037, CEP 37200-000, Lavras, MG, Brazil aut Bager Alex Brazilian Center for Road Ecology (CBEE), Ecology Sector, Department of Biology, Federal University of Lavras, Campus Universitário, CP 3037, CEP 37200-000, Lavras, MG, Brazil aut Biodiversity and Conservation Springer Netherlands 24/12(2015-11-01), 2953-2965 0960-3115 24:12<2953 2015 24 10531 https://doi.org/10.1007/s10531-015-0988-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10531-015-0988-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Costa Aline Brazilian Center for Road Ecology (CBEE), Ecology Sector, Department of Biology, Federal University of Lavras, Campus Universitário, CP 3037, CEP 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 700 1- Ascensão Fernando Brazilian Center for Road Ecology (CBEE), Ecology Sector, Department of Biology, Federal University of Lavras, Campus Universitário, CP 3037, CEP 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 700 1- Bager Alex Brazilian Center for Road Ecology (CBEE), Ecology Sector, Department of Biology, Federal University of Lavras, Campus Universitário, CP 3037, CEP 37200-000, Lavras, MG, Brazil aut NATIONALLICENCE 773 0- Biodiversity and Conservation Springer Netherlands 24/12(2015-11-01), 2953-2965 0960-3115 24:12<2953 2015 24 10531