Evidence map›Paper›PMID 41428875›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Road expansion risk predicts future hotspots of tropical deforestation.

Jayden E Engert, Carlos M Souza, Fritz Kleinschroth, F Yoko Ishida, Stefany P Costa, Jonas Botelho, William F Laurance

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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

7 authors.

Jayden E EngertCentre for Tropical Environmental and Sustainability Science, College of Science and Engineering, James Cook University, Cairns, QLD 4878, Australia.ORCID 0000-0002-5558-2058
Carlos M SouzaIMAZON-Amazon Institute of People and the Environment, Belém, PA 66055-200, Brazil.ORCID 0000-0002-0205-6134
Fritz KleinschrothInstitute of Environmental Planning, Faculty of Architecture and Landscape Sciences, Leibniz University, Hannover 30419, Germany.ORCID 0000-0002-7614-2123
F Yoko IshidaCentre for Tropical Environmental and Sustainability Science, College of Science and Engineering, James Cook University, Cairns, QLD 4878, Australia.ORCID 0000-0002-3251-8192
Stefany P CostaIMAZON-Amazon Institute of People and the Environment, Belém, PA 66055-200, Brazil.ORCID 0000-0002-4726-640X
Jonas BotelhoIMAZON-Amazon Institute of People and the Environment, Belém, PA 66055-200, Brazil.
William F LauranceCentre for Tropical Environmental and Sustainability Science, College of Science and Engineering, James Cook University, Cairns, QLD 4878, Australia.ORCID 0000-0003-4430-9408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Roads act as conduits for human incursions and hence underlie many of humanity's impacts on nature, including deforestation, wildfires, and natural-resource overexploitation. Unfortunately, existing roadmaps often drastically underestimate the true extent of road networks and future predictions of road-related impacts rely on incomplete and outdated data, undermining development planning and conservation decision-making. Here, we develop a multivariate "road expansion risk" index to identify areas prone to road building and therefore vulnerable to road-related environmental impacts. Using a massive road dataset-137 million 1-ha raster cells drawn from three different sources arrayed across the Amazon and Congo basins and insular Asia-Pacific region-we predict road-prone locations via a statistical model that integrates a range of biophysical, socioeconomic, and administrative data. This highly integrative, large-scale approach allowed us to identify areas likely to experience future road building and regions that may contain unmapped roads. Importantly, our road expansion risk index is a strong predictor of forest loss and degradation and can hence identify future road building and deforestation hotspots, even for the many tropical forest locales with grossly deficient road data.

Indexed as

Conservation of Natural ResourcesForestsTransportationTropical ClimateHumansAmazonconservationdevelopmentimpact assessmentinfrastructure

Identifiers

PMID41428875
PMCPMC12771565

What OpenQuestion 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 OpenQuestion graph.