Evidence map›Paper›PMID 37100817›Full record

ArticleNature communications2023

Physical and virtual nutrient flows in global telecoupled agricultural trade networks.

Xiuzhi Chen, Yue Hou, Thomas Kastner, Liu Liu, Yuqian Zhang, Tuo Yin, Mo Li, Arunima Malik, Mengyu Li, Kelly R Thorp and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

5 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

15 authors at 9 institutions in 4 countries.

Xiuzhi Chen *National Key Laboratory of Efficient Utilization of Agricultural Water Resources, 100083, Beijing, China.ORCID http://orcid.org/0000-0002-9371-4648
Yue Hou *College of Water Resources and Civil Engineering, China Agricultural University, 100083, Beijing, China.
Thomas KastnerSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325, Frankfurt-am-Main, Germany.ORCID http://orcid.org/0000-0002-8155-136X
Liu LiuNational Key Laboratory of Efficient Utilization of Agricultural Water Resources, 100083, Beijing, China.ORCID http://orcid.org/0000-0002-4915-206X
Yuqian ZhangDepartment of Fisheries and Wildlife, Center for Systems Integration and Sustainability, Michigan State University, East Lansing, MI, 48823, USA.
Tuo YinCollege of Water Resources and Civil Engineering, China Agricultural University, 100083, Beijing, China.
Mo LiSchool of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, 518172, Shenzhen, China.
Arunima MalikISA, School of Physics A28, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-4630-9869
Mengyu LiDiscipline of Accounting, The University of Sydney Business School, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-6791-1170
Kelly R ThorpUSDA Agricultural Research Service, 21881 N Cardon Ln., Maricopa, AZ, USA.ORCID http://orcid.org/0000-0001-9168-875X
Siqi HanCollege of Water Resources and Civil Engineering, China Agricultural University, 100083, Beijing, China.
Yaoze LiuDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY, 12222, USA.
Tahir MuhammadCollege of Water Resources and Civil Engineering, China Agricultural University, 100083, Beijing, China.
Jianguo LiuDepartment of Fisheries and Wildlife, Center for Systems Integration and Sustainability, Michigan State University, East Lansing, MI, 48823, USA. liuji@msu.edu.ORCID http://orcid.org/0000-0001-6344-0087
Yunkai LiNational Key Laboratory of Efficient Utilization of Agricultural Water Resources, 100083, Beijing, China. yunkai@cau.edu.cn.ORCID http://orcid.org/0000-0003-4226-3805
China Agricultural University · CNThe University of Sydney · AUAgricultural Research Service · USAlbany State University · USChina Aluminum International Engineering Corporation Limited (China) · CNHohai University · CNMichigan Department of Natural Resources · USMichigan State University · USSenckenberg Biodiversity and Climate Research Centre · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) KA 4815/1-1National Natural Science Foundation of China (National Science Foundation of China) 51321001National Natural Science Foundation of China (National Science Foundation of China) 51621061National Science Foundation (NSF) 1924111
6 · The paper itself

Abstract

Global agricultural trade creates multiple telecoupled flows of nitrogen (N) and phosphorus (P). The flows of physical and virtual nutrients along with trade have discrepant effects on natural resources in different countries. However, existing literature has not quantified or analyzed such effects yet. Here we quantified the physical and virtual N and P flows embedded in the global agricultural trade networks from 1997 to 2016 and elaborated components of the telecoupling framework. The N and P flows both increased continuously and more than 25% of global consumption of nutrients in agricultural products were related to physical nutrient flows, while virtual nutrient flows were equivalent to one-third of the nutrients inputs into global agricultural system. These flows have positive telecoupling effects on saving N and P resources at the global scale. Reducing inefficient trade flows will enhance resource conservation, environmental sustainability in the hyper-globalized world.

Identifiers

PMID37100817
PMCPMC10130181
OpenAlexW4367054143

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.