ArticleScientific data2025
Potential tree cover under current and future climate scenarios.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Spatially explicit forecasts of tree insect and disease incidence across North American forests under future climate scenarios.Nature ecology & evolution · 2026Article
- Forest tree-pathogen interactions under climate change.Essays in biochemistry · 2026Review
- Enhanced forest carbon gains from stronger protection in China's protected areas.Nature communications · 2026Article
- Reforestation scenarios shape global and regional temperature outcomes.Communications earth & environment · 2026Article
- Diminished biophysical cooling benefits of global forestation under rising atmospheric CONature communications · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forests play a key role in the global commitments to reach carbon neutrality in the coming decades. Global maps of potential tree cover at high spatial resolution for current and future climate scenarios are needed to assess the risk of future forest carbon loss and carbon storage potential through afforestation/reforestation projects. Here, we present data integrating satellite-based tree cover observations into a machine learning framework to estimate tree cover carrying capacity (percentage of tree coverage), which reflects the maximum potential tree cover, accounting for natural disturbances. Our model improves upon previous estimates by reducing prediction errors, better aligning with tree cover observations in intact areas, and lowering spatial variance in areas without topographical variation. However, uncertainties remain, particularly in regions where human activity has significantly altered landscapes. The tree cover carrying capacity provides an estimate of potential tree cover based on climatic and soil conditions. This serves as an initial step in identifying afforestation/reforestation opportunities but should be further assessed for land-use competition, ecological feasibility, and other limitations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.