Evidence map›Paper›PMID 41965352›Full record

ArticleNature communications2026

Learning lessons from over-crediting to ensure additionality in forest carbon credits.

Tom Swinfield, Abby Williams, David Coomes, Michael Dales, Patrick Ferris, Alejandro Guizar-Coutiño, James Hartup, Jody Holland, Sadiq Jaffer, Julia P G Jones and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Tom SwinfieldDepartment of Zoology, University of Cambridge, Cambridge, UK. tws36@cam.ac.uk.ORCID 0000-0001-9354-5090
Abby WilliamsDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID 0000-0002-9119-5880
David CoomesConservation Research Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-8261-2582
Michael DalesConservation Research Institute, University of Cambridge, Cambridge, UK.
Patrick FerrisConservation Research Institute, University of Cambridge, Cambridge, UK.
Alejandro Guizar-CoutiñoConservation Research Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-3509-9624
James HartupDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID 0000-0003-0632-2660
Jody HollandDepartment of Zoology, University of Cambridge, Cambridge, UK.
Sadiq JafferConservation Research Institute, University of Cambridge, Cambridge, UK.ORCID 0009-0006-4120-3244
Julia P G JonesSchool of Environmental and Natural Sciences, Bangor University, Bangor, UK.ORCID 0000-0002-5199-3335
Miranda O K LamDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID 0000-0001-5435-1453
Srinivasan KeshavConservation Research Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6549-0464
Anil MadhavapeddyConservation Research Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8954-2428
Eleanor Toye-ScottConservation Research Institute, University of Cambridge, Cambridge, UK.
Thales A P WestInstitute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-3896-6516
Andrew BalmfordDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID 0000-0002-0144-3589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Independent evaluations have shown substantial over-issuance of REDD+ (Reducing Emissions from Deforestation and Degradation) credits traded on the voluntary carbon market. We synthesise these evaluations to estimate the additional forest conservation achieved by first-generation REDD+ projects and to identify mechanisms underlying over-crediting. We combine six independent ex post evaluations of avoided deforestation covering 44 REDD+ projects. These evaluations show that most projects reduced deforestation, but that they claimed an aggregate of 10.7 times more avoided deforestation than is justified by independent estimates. This discrepancy is not driven by the choice of forest cover data, but by selection bias in projects' control areas and modelling approaches. Although recent initiatives that transfer assessment to unconflicted parties and restrict methodological flexibility are critical, they are insufficient. Ex post certification against credible counterfactuals is necessary if carbon markets are to represent causal reductions in deforestation.

Indexed as

CarbonConservation of Natural ResourcesForestsTreesCarbon

Identifiers

PMID41965352
PMCPMC13133336

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.