Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Explaining Global Trends in Cattle Population Changes Between 1961 and 2020 Directly Affecting Methane Emissions

Version 1 : Received: 9 May 2023 / Approved: 10 May 2023 / Online: 10 May 2023 (08:06:31 CEST)

A peer-reviewed article of this Preprint also exists.

Kozicka, K.; Žukovskis, J.; Wójcik-Gront, E. Explaining Global Trends in Cattle Population Changes between 1961 and 2020 Directly Affecting Methane Emissions. Sustainability 2023, 15, 10533. Kozicka, K.; Žukovskis, J.; Wójcik-Gront, E. Explaining Global Trends in Cattle Population Changes between 1961 and 2020 Directly Affecting Methane Emissions. Sustainability 2023, 15, 10533.

Abstract

Methane (CH4) emissions from agricultural sources make a significant contribution to the total anthropogenic greenhouse gas emissions that contribute to climate change. According to the International Panel on Climate Change (IPCC) guidelines for calculating greenhouse gas emissions, agriculture is responsible for approximately 10% of total CH4 emissions from anthropogenic sources. CH4 is mainly emitted from livestock farming, especially from cattle production during enteric fermentation and from manure. The article describes the results of multivariate statistical analyzes carried out on data collected in 1961–2020 based on the data for 30 countries with the largest cattle population. The trends of temporal changes in cattle population were evaluated and groups of countries with similar patterns in the study period were distinguished. Variables which are correlated with changes in the number of cattle were indicated. Forecasts of cattle population and CH4 emission related to cattle for the coming years are presented.

Keywords

enteric fermentation; cattle population; agriculture; greenhouse gas emissions

Subject

Environmental and Earth Sciences, Environmental Science

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.