20.500.12556/RUL-164277 Improving the representation of cattle grazing patterns in the European Union Improving the sustainability of the European cattle sector requires improved knowledge not only of the density of cattle, but also of the grazing patterns. Only in this way can the potential negative impacts of cattle related to local ecosystem degradation, as well as positive ones such as preserving cultural landscapes through grazing, be analyzed. While data on livestock distribution often used in scientific analyses can provide estimates on density, the separation between the livestock that has access to outdoor grazing and those that remain indoors is not available. This is problematic because it prevents the identification of the intensity and type of grassland management, as well as the consequential environmental impacts of grazing livestock. Here we present an approach where we combined agricultural and veterinary statistics, in-situ data, expert surveys and machine learning to develop a map of grazing cattle distribution for the wider European Union region. Our approach and the resulting data allow for the differentiation between cattle that are actually grazing versus those that do not. We also compare our method to traditional approaches that do not have a clear separation between grazing and non-grazing cattle, illustrating the implications that this can have for agricultural, land use and environmental assessments. livestock grazing grassland management land use živinoreja paša pašništvo raba prostora true false true Angleški jezik Slovenski jezik Članek v reviji 2024-10-18 12:11:26 2024-10-18 12:11:35 2024-10-19 04:25:47 0000-00-00 00:00:00 2024 0 0 14 str. art. 114077 Vol. 19 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 502/504 1748-9326 10.1088/1748-9326/ad858a 212101123 Improving_the_representation_of_cattle_grazing_patterns_in_the_European_Union.pdf Improving_the_representation_of_cattle_grazing_patterns_in_the_European_Union.pdf 1 ADEE57FD05E86F676EB47181B0C462DF f8bfcd9db9fb92afc9d75b15cba0ef852a208ffeeea567a1938f1b6e031292c9 61b70e0e-8d39-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=194571 https://iopscience.iop.org/article/10.1088/1748-9326/ad858a/pdf 0 74b061f1-8d39-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=194572 Biotehniška fakulteta 0 0 0