Evidence map›Paper›PMID 41920870›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

On the potential for strategic behavior in jurisdictional REDD.

Alberto Garcia, Luke Sanford

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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. On the potential for strategic behavior in jurisdictional REDD.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

2 authors.

Alberto Garcia *Department of Economics and School of Environment, Society & Sustainability, University of Utah, Salt Lake City, UT 84112.ORCID 0009-0001-5803-4890
Luke Sanford *School of the Environment, Yale University, New Haven, CT 06511.ORCID 0000-0002-2641-0636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given well-known credibility issues in project-based avoided-deforestation credits and over $3 billion in committed credit purchases under ART TREES, the voluntary carbon market is increasingly moving toward jurisdictional approaches to Reducing Emissions from Deforestation and Forest Degradation (REDD+) as a source of credits. We test whether existing approaches to jurisdictional REDD+ create new incentives for strategic behavior that could undermine the additionality of these credits. Using global remotely sensed forest change data from all jurisdictions eligible for jurisdictional REDD+ programs in the voluntary carbon market, we examine existing jurisdictional baseline approaches. We find that jurisdictional approaches create predictable opportunities for jurisdictions to generate credits without requiring new policy action, while discouraging the enrollment of jurisdictions with increasing rates of deforestation. We show that two simple metrics predict over 30% of baseline errors and that if jurisdictions condition their enrollment on such metrics, they could generate millions of nonadditional credits. Despite this, we do not find systematic evidence that jurisdictions have exploited this information thus far. However, approximately half of enrolled jurisdictions exhibit significant temporary increases in deforestation immediately before crediting begins. This suggests anticipatory forest clearing by private landowners expecting future restrictions with Jurisdictional REDD+ enrollment. As jurisdictional REDD+ credits account for a growing share of voluntary carbon markets, these findings reveal both reassuring governance outcomes and critical vulnerabilities requiring methodological reform.

Indexed as

Conservation of Natural ResourcesForestsCarbonTreesCarbonadditionalitycarbon offsetsdeforestationREDD+

Identifiers

PMID41920870
PMCPMC13056107

What OpenQuestion holds

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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 OpenQuestion graph.