ArticleNature2023
The carbon sink of secondary and degraded humid tropical forests.
Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration.Science advances · 2026Pooled it
- Net carbon losses in Central African forests revealed by high-resolution biomass change maps.Nature communications · 2026Article
- Alarming decline in the carbon sink of European forests driven by disturbances.National science review · 2026Article
- Managed rainforests support higher carbon density and sequestration in the Congo Basin.Nature communications · 2026Article
- Forest connectivity boosts carbon recovery in regenerating Atlantic Forests.Communications earth & environment · 2026Article
- Carbon dioxide removals by tropical moist forests offset most land-use emissions across 18 Afrotropical countries.Communications earth & environment · 2026Article
- Revegetation re-carbonizes soil: Patterns, mechanisms, and challenges.Fundamental research · 2026Review
- Article
- Long-term recovery of canopy 3D structural diversity following wildfires in the world's largest temperate woodland.Proceedings. Biological sciences · 2025Article
- Two decades of improved wetland carbon sequestration in northern mid-to-high latitudes are offset by tropical and southern declines.Nature ecology & evolution · 2025Article
- Global covariation of forest age transitions with the net carbon balance.Nature ecology & evolution · 2025Article
- Seed dispersal disruption limits tropical forest regrowth.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The importance of distinguishing between natural and managed tree cover gains in the moist tropics.Nature communications · 2025Article
- The pan-tropical age distribution of regenerating tropical moist forest.Nature ecology & evolution · 2025Article
- A dataset of forest regrowth in globally key deforestation regions.Scientific data · 2025Article
- Challenges in data-driven geospatial modeling for environmental research and practice.Nature communications · 2024Review
- A global dataset of forest regrowth following wildfires.Scientific data · 2024Article
- A large net carbon loss attributed to anthropogenic and natural disturbances in the Amazon Arc of Deforestation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Carbon storage through China's planted forest expansion.Nature communications · 2024Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The globally important carbon sink of intact, old-growth tropical humid forests is declining because of climate change, deforestation and degradation from fire and logging
Indexed as
Identifiers
36922608What 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.