J.T. Erbaugh
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jterbaugh.bsky.social
J.T. Erbaugh
@jterbaugh.bsky.social
Environmental Social Scientist @nature.org and Dartmouth College; Off-grid homesteading (lite) in Vermont; Father of two humans, legal guardian of ~20 hens; Would rather be outside
Led by the great and always enjoyable Johan Oldekop. This was a great group of co-authors dedicated to a critical topic!
May 20, 2025 at 2:27 AM
And, good news, we have access to more and better social and environmental data than ever before!

These data and our framework can help build a robust evidence base of policies and processes that generate prosperous, fair, and ecologically effective forest restoration.
May 20, 2025 at 2:27 AM
The framework we present advances forest transition theory by incorporating social outcomes and a wider set of ecological outcomes.
May 20, 2025 at 2:27 AM
It is essential that forest #restoration works for people and the planet.

But, current theories don’t help recognize or realize sustainable forest transitions. 🌏 🌍 🌎
May 20, 2025 at 2:27 AM
Reposted by J.T. Erbaugh
Our "behind the research" story: Getting carbon markets right requires understanding local impacts of global offset projects

Link: communities.springernature.com/posts/gettin...

H/t to co-authors: Yuta Masuda, @berobinson.bsky.social @jterbaugh.bsky.social lexunit.ai @nature.org 🧵 7/7
Getting carbon markets right requires understanding local impacts of global offset projects
Interest in natural climate solutions (NCS) is substantial and growing, but their impacts on human well-being and biodiversity and ecosystem services ("NCS co-impacts") are undercharacterized. We crea...
communities.springernature.com
December 10, 2024 at 2:59 PM
This is great, thanks for putting it together! New to Bluesky over here—could you add me to the pack?
December 9, 2024 at 3:27 PM
This work is the product of a fantastic research team, including @harpactes.bsky.social, @berobinson.bsky.social, @teevrat.bsky.social, and many others not (yet!) on this site. Also, it wouldn't have been possible without support from @nature.org and @bezosearthfund.bsky.social!
December 2, 2024 at 7:19 PM
There is so much more to do to better understand #NaturalClimateSolution and co-impacts! This piece provides an example of how large language models and machine learning can help us better understand pre-existing evidence. It also highlights where and what research on co-impacts is needed.
December 2, 2024 at 7:19 PM
Similarly, certain co-impacts have much more research than others. Environmental and biodiversity outcomes, as well as economic outcomes, tend to be better studied. Meanwhile, human health, education, and cultural/spiritual benefits have comparatively little evidence.
December 2, 2024 at 7:19 PM
Some #NaturalClimateSolution pathways have more evidence across all co-impact types, while others demonstrate very little. For example, forest-related pathways are very well studied. Meanwhile, coastal- and wetland-related pathways are not.
December 2, 2024 at 7:19 PM
We screened ~2 M articles and assessed >250 K to map the evidence on #NaturalClimateSoltuions and co-impacts, like economic outcomes, biodiversity, and human health.

We track this evidence over time and space, allowing us to assess it for different co-impacts over time and across countries.
December 2, 2024 at 7:19 PM