Evidence map›Paper›PMID 41741753›Full record

ArticleNature food2026

Global patterns of commodity-driven deforestation and associated carbon emissions.

Chandrakant Singh, U Martin Persson

Abstract read
In one paragraph

Article in Nature food, 2026. 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

2 authors.

Chandrakant SinghDepartment of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden. chandrakant.singh@chalmers.se.ORCID http://orcid.org/0000-0001-9092-1855
U Martin PerssonDepartment of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden. martin.persson@chalmers.se.ORCID http://orcid.org/0000-0001-7069-6734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid agriculture-driven deforestation poses considerable challenges to achieving climate and biodiversity targets. However, the limited scope and comprehensiveness of the datasets available for linking deforestation to food production restrict their effectiveness in supporting forest conservation and climate change mitigation efforts. By integrating the best available spatial and statistical datasets, our deforestation attribution framework (DeDuCE) provides a detailed quantification of deforestation associated with the production of agricultural and forestry commodities. DeDuCE reports 9,332 unique country-commodity deforestation-carbon footprints across 179 countries and 184 commodities annually from 2001 to 2022. Our findings indicate that while global efforts to curb deforestation appropriately focus on cattle meat, oil palm, rubber, soya, cocoa and coffee, global monitoring efforts have largely overlooked staple crops such as rice, maize and cassava. Given their substantial contribution to deforestation and carbon emissions, balancing food security with forest and climate conservation will require greater attention to these crops.

Identifiers

PMID41741753
PMCPMC12935532

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.