0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessForestation (afforestation and reforestation) could mitigate climate change by sequestering carbon within biomass and soils. However, global mitigation from forestation remains uncertain owing to varying estimates of carbon sequestration rates (notably in soil) and land availability. In this study, we developed global maps of soil carbon change that reveal carbon gains and losses with forestation, primarily in the topsoil. Constraining land availability to avoid unintended albedo-induced warming and safeguard water and biodiversity (389 million hectares available for forestation globally) would sequester 39.9 petagrams of carbon by 2050, substantially below previous estimates. This estimate drops to 12.5 petagrams of carbon with land further limited to existing policy commitments (120 million hectares). Achieving greater mitigation requires expanding dedicated forestation areas and strengthening commitments from nations with considerable but untapped potential.
Yijie Wang, Yakun Zhu, Susan C. Cook‐Patton, Wenjuan Sun, Wen Zhang, Philippe Ciais, Tingting Li, Pete Smith, Yuan Wenping, Xudong Zhu, Josep G. Canadell, Xiaopeng Deng, Yifan Xu, Hao Xu, Chao Yue, Zhangcai Qin (2025). Land availability and policy commitments limit global climate mitigation from forestation. , 389(6763), DOI: https://doi.org/10.1126/science.adj6841.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
16
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1126/science.adj6841
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access