International Climate Hub
USDA | Source |
USDA's International Climate Hub is a global platform for sharing research, tools, and best practices to enhance climate adaptation and mitigation for farmers, ranchers, and foresters worldwide. Building on the USDA Regional Climate Hubs model, it delivers science-based, region-specific resources to support climate-informed decision-making in agriculture, forestry, and natural resource management.
The Hub collaborates with international coalitions to address global climate challenges, advance forest conservation and restoration, and improve agricultural productivity. It covers topics like agriculture, climate science, bioenergy, natural resources, and rural development, offering decision-support tools—including calculators, maps, models, and datasets—to estimate outputs such as crop production, GHG emissions, and species distribution. Additional resources include webinars, publications, and international events.
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USDA | Source | Â USDA's International Climate Hub is a global platform for sharing research, tools, and best practices to enhance climate adaptation and mitigation for farmers, ranchers, and fores
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Nori | Source | Methodologies | Carbon registry |Â Nori, founded in 2017, aims to combat climate change by scaling up carbon removal efforts. They've developed a comprehensive platform that simplif
International Livestock Research Institute (ILRI) | Source | The Livestock and Climate Solutions Hub is a collaborative platform led by ILRI and CGIAR to support low- and middle-income countries (LMIC
World Resource Institute (WRI) | Source | Â Coolfood is a global initiative that empowers organizations to reduce the climate impact of the food they serve through plant-rich diets and science-backed s
Global Mangrove Alliance| Source | Data |Â Â The Global Mangrove Alliance unites NGOs, governments, scientists, and communities to protect and restore mangrove ecosystems. Formed in 2018, the alliance a
CGIARÂ | Source | Â The Spatial Production Allocation Model (SPAM) helps map detailed crop production patterns using limited data. By integrating various sources, SPAM estimates crop distribution across
