Evidence map›Paper›PMID 37235053›Full record

ArticleiScience2023

Coupling of crop and livestock production can reduce the agricultural GHG emission from smallholder farms.

Xiangbo Xu, Yan Xu, Jing Li, Yonglong Lu, Alan Jenkins, Robert C Ferrier, Hong Li, Nils Chr Stenseth, Dag O Hessen, Linxiu Zhang and 6 more

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

16 authors.

Xiangbo XuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Yan XuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Jing LiKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Yonglong LuState Key Laboratory of Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China.
Alan JenkinsUK Centre for Ecology & Hydrology, Wallingford, OX 10 8BB Oxon, UK.
Robert C FerrierJames Hutton Institute, AB15 8QH Aberdeen, Scotland, UK.
Hong LiUK Centre for Ecology & Hydrology, Wallingford, OX 10 8BB Oxon, UK.
Nils Chr StensethCentre for Ecological and Evolutionary Synthesis, University of Oslo, 03160 Oslo 3, Norway.
Dag O HessenSection for Aquatic Biology and Toxicology, Centre for Biogeochemistry in the Anthropocene, University of Oslo, 03160 Oslo 3, Norway.
Linxiu ZhangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Chang LiKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Baojing GuCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Shuqin JinResearch Center for Rural Economy, Ministry of Agriculture and Rural Affairs, Beijing 100810, China.
Mingxing SunKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Zhu OuyangYellow River Delta Modern Agricultural Engineering Laboratory, Chinese Academy of Sciences, Beijing 100101, China.
Erik MathijsDepartment of Earth and Environmental Sciences, KU Leuven, Leuven 3001, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring global food security and environmental sustainability is dependent upon the contribution of the world's hundred million smallholder farms, but the contributions of smallholder farms to global agricultural greenhouse gas (GHG) emissions have been understudied. We developed a localized agricultural life cycle assessment (LCA) database to calculate GHG emissions and made the first extensive assessment of the smallholder farms' GHG emission reduction potentials by coupling crop and livestock production (CCLP), a redesign of current practices toward sustainable agriculture in China. CCLP can reduce the GHG emission intensity by 17.67%, with its own feed and manure returning to the field as an essential path. Scenario analysis verified that greater GHG emission reduction (28.09%-41.32%) will be achieved by restructuring CCLP. Therefore, this mixed farming is a mode with broader benefits to provide sustainable agricultural practices for reducing GHG emissions fairly.

Indexed as

Agricultural scienceAtmospheric scienceEnvironmental science

Identifiers

PMID37235053
PMCPMC10206160

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.