Google signs agreement with Working Trees to remove 270,000 tons of CO₂ through silvopasture farming in Brazil
Google just signed a long-term deal with Working Trees to pull 270,000 tons of CO₂ out of the atmosphere. The twist? They’re not planting trees on empty land. They’re planting them directly on active cattle ranches in Brazil. The deal came through the Symbiosis Coalition and targets two of the country’s most ecologically loaded regions: the Amazon and the Cerrado.
Google and Working Trees announce 270,000-ton carbon removal deal
The Symbiosis Coalition — a platform that links corporate buyers with nature-based carbon removal projects — made the announcement public today. Google’s involvement here isn’t a vague pledge. It’s a concrete commitment to large-scale carbon removal through land-use strategy, not conventional carbon offsetting.
270,000 tons is a serious number. That kind of removal volume doesn’t happen with a one-time intervention — it requires sustained land management across decades. The deal reflects that reality and is structured accordingly, because tree-based carbon removal simply doesn’t work any other way.
A persistent criticism of nature-based carbon projects is that they displace agricultural activity or undermine the livelihoods of people who depend on the land.
Working Trees operates specifically in Brazil’s Amazon and Cerrado biomes, both globally critical for biodiversity and carbon storage, and both facing relentless deforestation pressure. What sets this project apart from most nature-based carbon deals is the choice to work on active ranchlands — not degraded or abandoned parcels sitting idle.
How silvopasture works and why Working Trees uses it
Silvopasture means planting trees directly on working pasturelands, right alongside active cattle operations. Land stays in agricultural production. Trees go into the ranching system itself, cattle keep grazing, and the ranch keeps functioning.
That distinction matters more than it might seem. A persistent criticism of nature-based carbon projects is that they displace agricultural activity or undermine the livelihoods of people who depend on the land. Silvopasture sidesteps that conflict by design.
As the trees grow, they provide shade — genuinely useful in Brazil’s heat. Shade reduces heat stress in livestock, which can improve weight gain and overall herd health. Trees also support soil health and boost resilience during droughts, which are hitting parts of Brazil harder and more frequently than before.
Working Trees layers technology onto this model. Their digital platform lets ranchers track every individual tree planted on their land, creating a transparent verification trail for monitoring actual carbon removal over time. For corporate buyers who need credible, auditable carbon credits, that kind of traceability is increasingly non-negotiable.
Economic benefits for Brazilian ranchers
The silvopasture model rests on a straightforward premise: carbon removal has to make financial sense for the people doing the work on the ground. Ranchers in Working Trees’ program gain access to new income streams — timber and carbon revenues generated by the trees planted on their land.
Earlier offset models sometimes asked landowners to stop using productive land in exchange for payments that didn’t always materialize as promised. Here, ranchers don’t scale back their cattle operations at all. They keep their existing business and layer revenue on top of it.
As trees mature, land and livestock productivity are expected to improve. Better soil, stronger water retention, and livestock shade can translate into real operational gains. The economic case is deliberately aligned with the environmental one — making it more likely ranchers stay in the program and expand their participation rather than exit early.
Scale and broader context of the project
One of the more notable claims around this project is its scalability. Working Trees’ approach has the potential to spread across millions of acres of Brazilian ranchlands. Brazil runs one of the largest cattle industries on the planet, and a significant portion operates on land that could, in principle, support silvopasture.
That potential matters because climate mitigation needs solutions that can grow well past the pilot stage. A model that works on a few thousand acres but can’t replicate doesn’t move the needle. One that spreads across millions of acres while keeping ranchers economically whole is a different proposition entirely.
Researchers studying land-use solutions have taken notice of silvopasture. It’s recognized as one of the higher-impact approaches available — partly because it stacks carbon sequestration with biodiversity benefits and agricultural productivity gains without forcing a choice between food production and climate action.
Deforestation in the Cerrado and Amazon remains a major source of global carbon emissions. Projects that restore ecological function on already-degraded ranchlands — without pushing agricultural activity onto new forest — go after one of the core dynamics driving that deforestation in the first place. That’s not a small thing.
What this deal adds up to
Google‘s agreement with Working Trees brings together several elements that carbon removal advocates have long argued must work in tandem: a credible land-use practice, a transparent verification system, economic incentives for landowners, and a corporate buyer willing to commit for the long haul. The 270,000-ton removal target spans the Amazon and Cerrado — two regions where the stakes for climate and biodiversity are about as high as they get. Whether the model scales the way its proponents believe remains an open question, but the structure of this deal is built to make that expansion possible.
Kelly is an experienced writer with 15 years of experience exploring the big stories that shape our world, from tech breakthroughs and space exploration to climate, energy, and the fascinating quirks of science. She has a talent for turning complex ideas into sharp, memorable insights that stay with readers long after they’ve finished reading.
