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Impacts of climate change on the livestock food supply chain; a review of the evidence

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ELSEVIER
DOI: 10.1016/j.gfs.2020.100488

Keywords

Livestock; Climate change; Supply chain; Heat stress; Vulnerability; Risk

Funding

  1. Bill and Melinda Gates Foundation Supporting Evidence Based Interventions -LiveGAPS 2 project [OPP1134229]
  2. Army Research Office under the Defense Advanced Research Project Agency (DARPA) World Modelers program [W911NF1910013]
  3. CGIAR Fund
  4. U.S. Department of Defense (DOD) [W911NF1910013] Funding Source: U.S. Department of Defense (DOD)
  5. Bill and Melinda Gates Foundation [OPP1134229] Funding Source: Bill and Melinda Gates Foundation

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The article reviews the risks of climate-related impacts on global livestock systems, indicating that the entire supply chain will be affected. Adaptation choices in the future need to consider impacts from various possible futures.
The potential impacts of climate change on current livestock systems worldwide are a major concern, and yet the topic is covered to a limited extent in global reports such as the ones produced by the Intergovernmental Panel on Climate Change. In this article, we review the risk of climate-related impacts along the land-based livestock food supply chain. Although a quantification of the net impacts of climate change on the livestock sector is beyond the reach of our current understanding, there is strong evidence that there will be impacts throughout the supply chain, from farm production to processing operations, storage, transport, retailing and human consumption. The risks of climate-related impacts are highly context-specific but expected to be higher in environments that are already hot and have limited socio-economic and institutional resources for adaptation. Large uncertainties remain as to climate futures and the exposure and responses of the interlinked human and natural systems to climatic changes over time. Consequently, adaptation choices will need to account for a wide range of possible futures, including those with low probability but large consequences.

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