Evidence map›Paper›PMID 36326963›Full record

ArticleCarbon balance and management2022

The impact of human and livestock respiration on CO

Qixiang Cai, Ning Zeng, Fang Zhao, Pengfei Han, Di Liu, Xiaohui Lin, Jingwen Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Carbon balance and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
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 at 5 institutions in 2 countries.

Qixiang CaiState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. caiqixiang@mail.iap.ac.cn.
Ning ZengDepartment of Atmospheric and Oceanic Science, and Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
Fang ZhaoKey Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, China.
Pengfei HanState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Di LiuState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Xiaohui LinState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academ y of Sciences, Beijing, China.
Jingwen ChenState Key Laboratory of Hydrology- Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China.
Institute of Atmospheric Physics · CNChinese Academy of Sciences · CNEast China Normal University · CNState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering · CNUniversity of Maryland, College Park · US

Funding

National Key R&D Program of China 2017YFB0504000
6 · The paper itself

Abstract

backgroundThe CO

resultsThe results show that the total magnitude of human and livestock respiration emissions is 38.2% of the fossil fuel emissions in Sao Paulo, highest amongst the 14 cities considered here. The proportion is larger than 10% in cities of Delhi, Cape Town and Tokyo. In other cities, it is relatively small with a proportion around 5%. In addition, almost 90% of respiratory carbon comes from urban areas in most of the cities, while up to one-third comes from suburban areas in Beijing on account of the siginificant livestock production. CONCLUTION: The results suggest that the respiration of human and livestock represents a significant CO

Indexed as

City CO2 emissionHuman respirationLivestock respirationUrban metabolism

Identifiers

PMID36326963
PMCPMC9635100
OpenAlexW4308432376

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.