Evidence map›Paper›PMID 41039758›Full record

ArticleGlobal change biology2025

Emissions Footprints of Agriculture Around the World 1970-2020: Decreasing Land Conversion, Regional Exceptions and Increasing Management Intensity.

C A Adlan, S V Hanssen, H Luchtenbelt, C Hendriks, J C Doelman, E Stehfest, B Wicke

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global change biology, 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.

C A AdlanDepartment of Environmental Science, Faculty of Science, Radboud University, Nijmegen, the Netherlands.ORCID 0009-0008-8513-2008
S V HanssenDepartment of Environmental Science, Faculty of Science, Radboud University, Nijmegen, the Netherlands.ORCID 0000-0002-7673-8509
H LuchtenbeltPBL, Netherlands Environmental Assessment Agency, The Hague, the Netherlands.ORCID 0009-0001-2551-1582
C HendriksDepartment of Environmental Science, Faculty of Science, Radboud University, Nijmegen, the Netherlands.ORCID 0000-0003-2936-4687
J C DoelmanPBL, Netherlands Environmental Assessment Agency, The Hague, the Netherlands.ORCID 0000-0002-6842-573X
E StehfestPBL, Netherlands Environmental Assessment Agency, The Hague, the Netherlands.ORCID 0000-0003-3016-2679
B WickeDepartment of Environmental Science, Faculty of Science, Radboud University, Nijmegen, the Netherlands.ORCID 0000-0003-0445-0984

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 015.015.016Nederlandse Organisatie voor Wetenschappelijk Onderzoek VI.Vidi.203.039
6 · The paper itself

Abstract

Land-use change (LUC) and agricultural management associated with crop production are responsible for 13% of global anthropogenic greenhouse gas emissions. However, the quantification of such land use emissions for specific crops remains incomplete due to the exclusion of important emission sources and limited geographic or crop coverage in previous studies. In this paper, we derive global spatially explicit land use emissions from LUC and agricultural management over the period of 1970 to 2020 and attribute them to 16 agricultural crop types and pastureland for livestock production, using the IMAGE-Land and LPJmL 4.0 models. Our results show 210 GtCO

Indexed as

AgricultureCarbon FootprintConservation of Natural ResourcesGreenhouse GasesCrops, AgriculturalGreenhouse Gasesagricultural crop productionagricultural managementemission intensityemissions footprintland‐use change

Identifiers

PMID41039758
PMCPMC12491833

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.