ArticleNature communications2024
Projected soil carbon loss with warming in constrained Earth system models.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantifying the trade-off between spring phenology and lethal frost risk: a meta-analysis.Nature communications · 2026Pooled it
- Stoichiometry and Homeostasis of Sodium and Potassium Underpins Growth Adaptation ofEcology and evolution · 2026Article
- Persistence and turnover of soil organic carbon in global drylands.Nature communications · 2026Article
- Article
- Land use-induced soil carbon loss in the dry tropics nearly offsets gains in northern lands.Nature communications · 2025Article
- US grass-fed beef is as carbon intensive as industrial beef and ≈10-fold more intensive than common protein-dense alternatives.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Microbial interactions between climate warming and antimicrobial resistance threaten soil carbon storage and global health.The ISME journal · 2025Article
- Temperature structuring of microbial communities on a global scale.Current opinion in microbiology · 2024Review
- The role of the plant microbiome for forestry, agriculture and urban greenspace in times of environmental change.Microbial biotechnology · 2024Review
- Projected soil carbon loss with warming in constrained Earth system models.Nature communications · 2024Article
- Bioindicator "fingerprints" of methane-emitting thermokarst features in Alaskan soils.Frontiers in microbiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The soil carbon-climate feedback is currently the least constrained component of global warming projections, and the major source of uncertainties stems from a poor understanding of soil carbon turnover processes. Here, we assemble data from long-term temperature-controlled soil incubation studies to show that the arctic and boreal region has the shortest intrinsic soil carbon turnover time while tropical forests have the longest one, and current Earth system models overestimate intrinsic turnover time by 30 percent across active, slow and passive carbon pools. Our constraint suggests that the global soils will switch from carbon sink to source, with a loss of 0.22-0.53 petagrams of carbon per year until the end of this century from strong mitigation to worst emission scenarios, suggesting that global soils will provide a strong positive carbon feedback on warming. Such a reversal of global soil carbon balance would lead to a reduction of 66% and 15% in the current estimated remaining carbon budget for limiting global warming well below 1.5 °C and 2 °C, respectively, rendering climate mitigation much more difficult.
Identifiers
What OpenQuestion holds
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.