Evidence map›Paper›PMID 39740017›Full record

ArticleGlobal change biology2025

Global Greenhouse Gas Emissions From Agriculture: Pathways to Sustainable Reductions.

Lidong Li, Tala Awada, Yeyin Shi, Virginia L Jin, Michael Kaiser

Abstract read
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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Analysis of the Provision of Plant-Based, Vegetarian and Omnivorous Meals in UK Care Homes for Older People.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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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

5 authors.

Lidong LiUniversity of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID 0000-0001-5420-260X
Tala AwadaUniversity of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID 0000-0002-0462-2339
Yeyin ShiUniversity of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID 0000-0003-3964-2855
Virginia L JinAgroecosystem Management Research Unit, USDA-Agricultural Research Service (ARS), Lincoln, Nebraska, USA.ORCID 0000-0003-4146-8497
Michael KaiserUniversity of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID 0000-0003-3584-4142

Funding

Long-Term Agroecosystem Research (LTAR) network of the United States Department of AgriculturePartnership on Data Innovation of the United States Department of Agriculture
6 · The paper itself

Abstract

Agriculture serves as both a source and a sink of global greenhouse gases (GHGs), with agricultural intensification continuing to contribute to GHG emissions. Climate-smart agriculture, encompassing both nature- and technology-based actions, offers promising solutions to mitigate GHG emissions. We synthesized global data, between 1990 and 2021, from the Food and Agriculture Organization (FAO) of the United Nations to analyze the impacts of agricultural activities on global GHG emissions from agricultural land, using structural equation modeling. We then obtained predictive estimates of agricultural GHG emissions for the future period of 2022-2050 using deep-learning models. The FAO data show that, from 1990 to 2021, global livestock numbers, inorganic nitrogen (N) fertilizer use, crop residue, and irrigation area increased by 27%, 47%, 49%, and 37%, respectively. The increased livestock numbers contributed to the increases in CH

Indexed as

AgricultureGreenhouse GasesAnimalsCarbon DioxideConservation of Natural ResourcesFertilizersGreenhouse EffectLivestockModels, TheoreticalNitrous OxideCarbon DioxideFertilizersGreenhouse GasesNitrous Oxidecarbon dioxidecroplandfertilizerforest losslivestockmethanenitrous oxidepasture

Identifiers

PMID39740017
PMCPMC11683860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.