Abstract
The Great Plains provide a major portion of US beef cattle production, and beef cattle represent the largest sector of the regional agricultural economy. Cattle producers regularly contend with climate variability, but the consequences of this variability are less well understood than for cropping systems. A retrospective analysis of US Department of Agriculture AgCensus data was conducted to assess the extent to which climate variability (1978−2017) has affected the spatial and temporal distribution of beef cow numbers throughout the Great Plains. Cow numbers were remarkably stable, declining only 3.1% between 1978 and 2017. However, beef production increased 30% during this period, in response to a steady increase in live animal slaughter weight. Cow numbers decreased during droughts in the late 1980s and the early 2010s but recovered before the subsequent 5-yr census. Cow numbers decreased 5.1%, 8.8%, and 4.0% in the Northern, Central, and Southern Plains, respectively, between the 1982 and 1987 censuses, even though annual precipitation only decreased in the Northern Plains. The reduction in cow numbers during the 2010s drought, which is assumed to portend future extreme droughts, was greatest in the Southern Plains (−17.6%) followed by the Central (−11%) and Northern Plains (−4.9%), compared with the 2007 census. The relative increase in beef cow numbers in the Northern Plains may represent an emerging signal of climate variability on rangeland beef production. This may be a consequence of weaker correlations between cow numbers and mean annual precipitation and temperature established by lower mean annual temperatures in the Northern Plains. This retrospective analysis indicates that continued climate warming and drying will adversely affect rangeland beef production, it identifies a large knowledge gap between climate variability and sustainable rangeland beef production, and it provides a reference to begin assessing the vulnerability of rangeland beef cattle production in future climates.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.