News

Investments in five countries India, China, Brazil, Pakistan, and Sudan may hold the key to tackling climate challenges in animal farming

Brazil
Published Jul 7, 2023

Tridge summary

Researchers from the CGIAR's Livestock and Climate Initiative and Wageningen University have identified India, China, Brazil, Pakistan, and Sudan as top investment priorities in the global livestock sector to address the climate crisis. These five countries account for a significant proportion of livestock greenhouse-gas emissions, rural populations exposed to climate hazards, and the total value of livestock production. Transforming livestock production practices in these countries, such as decoupling livestock from deforestation and implementing sustainable practices, could make a significant impact on both carbon emissions and productivity.
Disclaimer: The above summary was generated by a state-of-the-art LLM model and is intended for informational purposes only. It is recommended that readers refer to the original article for more context.

Original content

To address the climate crisis, a paradigm shift in the global livestock sector is not an option—it is a necessity. But in a new study, agrifood and biodiversity experts ask how and where this transformation should occur. They found that with the right strategies and financing in place, it is possible to make a dramatic change in both carbon emissions and productivity. In their paper​​, published in the journal, Nature Sustainability, researchers from the CGIAR's Livestock and Climate Initiative and Wageningen University outline how investments in a handful of countries—India, China, Brazil, Pakistan, and Sudan—can have an enormous impact. Globally, the authors say, changes to the livestock sector have immense potential to both mitigate the climate crisis, and help people adapt. ‘Improve livestock production, don’t bin it’​ Keeping farm animals is vital to the livelihoods of almost a billion people in Africa and South Asia. Goats, cows, and sheep provide milk and meat, pull ...
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