Improving the representation of cattle grazing patterns in the European Union

Malek, Žiga (author), Romanchuk, Zoriana (author), Yaschun, Orysia (author), Jones, Gwyn (author), Petersen, Jan-Erik (author), Fritz, Steffen (author), See, Linda (author)

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.

• Language: English
• Keywords: livestock, grazing, grassland management, land use
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: 14 str.
• Numbering: Vol. 19, art. 114077
• PID: 20.500.12556/RUL-164277
• UDC: 502/504
• ISSN on article: 1748-9326
• DOI: 10.1088/1748-9326/ad858a
• COBISS.SI-ID: 212101123
• Publication date in RUL: 18.10.2024

Record is a part of a journal

• Title: Environmental research letters
• Publisher: Institute of Physics Publishing.
• ISSN: 1748-9326
• COBISS.SI-ID: 515073049

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: živinoreja, paša, pašništvo, raba prostora

Projects

• Funder: EC - European Commission
• Project number: 101060423
• Name: LAnd use and MAnagement modelling for SUStainable governance
• Acronym: LAMASUS

• Funder: Other - Other funder or multiple funders
• Funding programme: Bezos Earth Fund
• Name: Global Pasture Watch project