Evidence map›Paper›PMID 40399286›Full record

ArticleNature communications2025

Evidence on scaling forest restoration from the Atlantic Forest Restoration Pact in Brazil.

Roberto Toto, Jennifer Alix-García, Katharine R E Sims, Bruno Coutinho, Carlos Muñoz Brenes, Ludmila Pugliese, Alex Fernando Mendes

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Roberto TotoDepartment of Applied Economics, Oregon State University, Corvallis, OR, USA.ORCID http://orcid.org/0009-0009-7858-1128
Jennifer Alix-GarcíaDepartment of Applied Economics, Oregon State University, Corvallis, OR, USA. jennifer.alix-garcia@oregonstate.edu.ORCID http://orcid.org/0000-0003-0200-0496
Katharine R E SimsDepartment of Economics and Department of Environmental Studies, Amherst College, Amherst, MA, USA.ORCID http://orcid.org/0000-0002-9854-6807
Bruno CoutinhoConservation International Brazil, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0003-2146-5774
Carlos Muñoz BrenesMoore Center Conservation International, Washington, DC, USA.ORCID http://orcid.org/0000-0001-6760-3592
Ludmila PuglieseConservation International Brazil, Rio de Janeiro, Brazil.
Alex Fernando MendesAtlantic Forest Restoration Pact, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0003-1956-9187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest restoration is a vital strategy to combat climate change, preserve biodiversity, and maintain ecosystem services. Yet scarce evidence exists evaluating the impact of forest recovery interventions at scale. This study estimates the impact of the Atlantic Forest Restoration Pact on forest restoration in Brazil. We compare forest change on lands supported by the Pact to change on similar lands, before and after the program started, thereby isolating the causal impact of restoration support. Here we show that the intervention increased restored forest cover by 10-20 percentage points, likely because it helped to overcome key financial and informational barriers faced by private landowners. Larger effects are associated with greater distance to cities and more state-level environmental enforcement. These findings demonstrate that large-scale forest restoration on private land is possible, but that low returns from competing land uses and complementary institutional environments play key roles in supporting these efforts.

Identifiers

PMID40399286
PMCPMC12095789

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.