Providing Highest Quality Tropical Rainforest Protection Carbon Offset Projects

Founded in 2003, Foundation is a leading non-profit carbon offset provider making it easy and affordable for both individuals and organizations to mitigate their climate impacts by supporting some of the best carbon offset projects on the planet. develops the the highest quality tropical rainforest protection projects in the Amazon Basin of Acre, Brazil. Foundation highest quality tropical rainforest carbon offset projects are always verified to the highest third- party certification standards on the planet such as the Verified Carbon Standard (VCS) and Climate, Community, and Biodiversity Standard (CCB.) Experts agree we need a major reduction in CO2 over the next fifty years. With this in mind, we need to support the highest quality rainforest protection carbon offset projects now.

The Russas-Valparaiso Projects

The Russas-Valparaiso project will preserve over 160,000 acres of a rare and highly endangered tropical rainforest eco-system while simultaneously providing this rural forest community with a new school and major educational programs, a new health clinic, land title, and direct payments for forest conservation.

The project area is facing extensive deforestation pressures as a result of cattle ranching and subsistence agriculture in the Project zone.  Russas-Valparaiso will mitigate deforestation and preserve the Project’s rich bio-diversity while simultaneously generating sustainable economic and educational opportunities for this local rainforest community.

Russas-Valparaiso is the model for successfully utilizing carbon credit revenues as the best approach to preserving these extraordinary forest eco-systems.  The project is developed to the highest standards including Verified Carbon Standard (VCS) and Climate, Community, Biodiversity Standard (CCB) and awarded “Triple Gold Distinction” for climate change mitigation, biodiversity, and community net positive benefits, which only a few projects in world have achieved.

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