Livestock and Greenhouse Gas Emissions
Livestock Data for Decisions (LD4D); Food and Agriculture Organization (FAO); SEBI-Livestock Evidence Synthesis | Source |
The Livestock and Greenhouse Gas Emissions visualization, developed by Livestock Data for Decisions (LD4D), presents GHG emissions from livestock using data from the Global Livestock Environmental Assessment Model (GLEAM). It displays both total emissions and emissions intensity (GHG per unit of protein) across regions, species, production systems, and products. Based on a life cycle assessment (LCA) framework, the tool reveals significant variations in emissions intensity, highlighting the potential for reducing GHG emissions through improved production efficiency. The underlying data, aligned with IPCC (2006) Tier methodologies, is available for download to support evidence-based decisions for more sustainable livestock systems.
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Livestock Data for Decisions (LD4D); Food and Agriculture Organization (FAO); SEBI-Livestock Evidence Synthesis | Source |Â The Livestock and Greenhouse Gas Emissions visualization, developed by Livest
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zne-ag CRC |  The Zero Net Emissions Agriculture Cooperative Research Centre (ZNE-Ag CRC) is a national, industry-led research partnership funded by the Australian Government’s Cooperative Research Ce
CGIAR Research Program on Climate Change, Food Security and Agriculture (CCAFS) | Source |The MRV Platform for Agriculture, an initiative by the Global Research Alliance for Agricultural Greenhouse Ga
US EPA| Source | Data | The Environmental Protection Agency (EPA) has released the Draft Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2022 for public review and comment, as announced in
University of Britsh Columbia| Source | EarthStat, a collaboration between the Global Landscapes Initiative at the University of Minnesota and the Land Use and Global Environment lab at the University
United Nations Environmental Program| Source | Data |Â Guide |Â The Global Food Cold Chain Council (GFCCC) and UNEP OzonAction have launched the Cold Chain Database and Modelling initiative to help deve