Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies

Transportation has emerged as a major contributor to greenhouse gas (GHG) emissions worldwide. With increasing population growth and food demand, the spatial decoupling of production and consumption has intensified, driving a surge in transnational agricultural products transportation. However, exis...

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主要作者: Zihan Gao (10820297) (author)
其他作者: Xiuzhi Chen (8329971) (author), Yixuan Yin (2327827) (author), Peng Hou (262071) (author), Tuo Yin (17724064) (author), Yanling Long (9924328) (author), Siqi Han (849725) (author), Yunkai Li (5014013) (author)
出版: 2025
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_version_ 1849927621983338496
author Zihan Gao (10820297)
author2 Xiuzhi Chen (8329971)
Yixuan Yin (2327827)
Peng Hou (262071)
Tuo Yin (17724064)
Yanling Long (9924328)
Siqi Han (849725)
Yunkai Li (5014013)
author2_role author
author
author
author
author
author
author
author_facet Zihan Gao (10820297)
Xiuzhi Chen (8329971)
Yixuan Yin (2327827)
Peng Hou (262071)
Tuo Yin (17724064)
Yanling Long (9924328)
Siqi Han (849725)
Yunkai Li (5014013)
author_role author
dc.creator.none.fl_str_mv Zihan Gao (10820297)
Xiuzhi Chen (8329971)
Yixuan Yin (2327827)
Peng Hou (262071)
Tuo Yin (17724064)
Yanling Long (9924328)
Siqi Han (849725)
Yunkai Li (5014013)
dc.date.none.fl_str_mv 2025-11-26T07:03:57Z
dc.identifier.none.fl_str_mv 10.1021/acs.est.5c05787.s001
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Spatiotemporal_Dynamics_of_Global_Agricultural_Transport_Greenhouse_Gas_Emissions_from_Trade_and_the_Climate_Implications_of_Localization_Strategies/30719035
dc.rights.none.fl_str_mv CC BY-NC 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biophysics
Genetics
Biotechnology
Ecology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
integrating multisource data
increasing population growth
carbon farming technologies
localization strategies transportation
localization strategies proposed
existing research lacks
agricultural transport increased
total ghg outputs
study systematically evaluates
localized agricultural production
related ghg emissions
global ghg emissions
ghg emissions
future strategies
research method
reducing transport
stage emissions
emissions worldwide
ghg emission
year period
systematic assessment
spatiotemporal evolution
spatiotemporal dynamics
spatial decoupling
results suggest
promoting low
particularly effective
net rise
modeling frameworks
mitigation potential
major contributor
inefficiencies inherent
increase production
greenhouse gas
global trade
future scenarios
future projection
food demand
findings reveal
climate implications
34 %.
dc.title.none.fl_str_mv Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description Transportation has emerged as a major contributor to greenhouse gas (GHG) emissions worldwide. With increasing population growth and food demand, the spatial decoupling of production and consumption has intensified, driving a surge in transnational agricultural products transportation. However, existing research lacks a systematic assessment and future projection of GHG emissions from agricultural product transportation across multiple transport modes worldwide. To address this gap, we developed a global trade-linked transport GHG emission database by integrating multisource data and modeling frameworks. Compared with the research method in this paper, the previous great circle distance as the GHG emission of agricultural product transportation mileage was underestimated by 34%. This study systematically evaluates the spatiotemporal evolution of agricultural transport GHG emissions from 2000 to 2021 and explores their mitigation potential under future scenarios. Our findings reveal that global GHG emissions from agricultural transport increased by 1.6-fold over the 21-year period, with rising GHG emission intensity and trade density collectively shaping a high-carbon flow pattern dominated by exports from the Americas to Asia. Future scenario analyses indicate that the localization strategies proposed in this study are not particularly effective in reducing transport-related GHG emissions as inefficiencies inherent in localized agricultural production can increase production-stage emissions and, in turn, result in a net rise in total GHG outputs. These results suggest that future strategies should prioritize optimizing trade structures while simultaneously enhancing domestic agricultural productivity and promoting low-carbon farming technologies to achieve net emission reductions at the source.
eu_rights_str_mv openAccess
id Manara_dcaf6c277f153fbc9d4fd457b2f75c4e
identifier_str_mv 10.1021/acs.est.5c05787.s001
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30719035
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY-NC 4.0
spelling Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization StrategiesZihan Gao (10820297)Xiuzhi Chen (8329971)Yixuan Yin (2327827)Peng Hou (262071)Tuo Yin (17724064)Yanling Long (9924328)Siqi Han (849725)Yunkai Li (5014013)BiophysicsGeneticsBiotechnologyEcologyScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedintegrating multisource dataincreasing population growthcarbon farming technologieslocalization strategies transportationlocalization strategies proposedexisting research lacksagricultural transport increasedtotal ghg outputsstudy systematically evaluateslocalized agricultural productionrelated ghg emissionsglobal ghg emissionsghg emissionsfuture strategiesresearch methodreducing transportstage emissionsemissions worldwideghg emissionyear periodsystematic assessmentspatiotemporal evolutionspatiotemporal dynamicsspatial decouplingresults suggestpromoting lowparticularly effectivenet risemodeling frameworksmitigation potentialmajor contributorinefficiencies inherentincrease productiongreenhouse gasglobal tradefuture scenariosfuture projectionfood demandfindings revealclimate implications34 %.Transportation has emerged as a major contributor to greenhouse gas (GHG) emissions worldwide. With increasing population growth and food demand, the spatial decoupling of production and consumption has intensified, driving a surge in transnational agricultural products transportation. However, existing research lacks a systematic assessment and future projection of GHG emissions from agricultural product transportation across multiple transport modes worldwide. To address this gap, we developed a global trade-linked transport GHG emission database by integrating multisource data and modeling frameworks. Compared with the research method in this paper, the previous great circle distance as the GHG emission of agricultural product transportation mileage was underestimated by 34%. This study systematically evaluates the spatiotemporal evolution of agricultural transport GHG emissions from 2000 to 2021 and explores their mitigation potential under future scenarios. Our findings reveal that global GHG emissions from agricultural transport increased by 1.6-fold over the 21-year period, with rising GHG emission intensity and trade density collectively shaping a high-carbon flow pattern dominated by exports from the Americas to Asia. Future scenario analyses indicate that the localization strategies proposed in this study are not particularly effective in reducing transport-related GHG emissions as inefficiencies inherent in localized agricultural production can increase production-stage emissions and, in turn, result in a net rise in total GHG outputs. These results suggest that future strategies should prioritize optimizing trade structures while simultaneously enhancing domestic agricultural productivity and promoting low-carbon farming technologies to achieve net emission reductions at the source.2025-11-26T07:03:57ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1021/acs.est.5c05787.s001https://figshare.com/articles/dataset/Spatiotemporal_Dynamics_of_Global_Agricultural_Transport_Greenhouse_Gas_Emissions_from_Trade_and_the_Climate_Implications_of_Localization_Strategies/30719035CC BY-NC 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307190352025-11-26T07:03:57Z
spellingShingle Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
Zihan Gao (10820297)
Biophysics
Genetics
Biotechnology
Ecology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
integrating multisource data
increasing population growth
carbon farming technologies
localization strategies transportation
localization strategies proposed
existing research lacks
agricultural transport increased
total ghg outputs
study systematically evaluates
localized agricultural production
related ghg emissions
global ghg emissions
ghg emissions
future strategies
research method
reducing transport
stage emissions
emissions worldwide
ghg emission
year period
systematic assessment
spatiotemporal evolution
spatiotemporal dynamics
spatial decoupling
results suggest
promoting low
particularly effective
net rise
modeling frameworks
mitigation potential
major contributor
inefficiencies inherent
increase production
greenhouse gas
global trade
future scenarios
future projection
food demand
findings reveal
climate implications
34 %.
status_str publishedVersion
title Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
title_full Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
title_fullStr Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
title_full_unstemmed Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
title_short Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
title_sort Spatiotemporal Dynamics of Global Agricultural Transport Greenhouse Gas Emissions from Trade and the Climate Implications of Localization Strategies
topic Biophysics
Genetics
Biotechnology
Ecology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
integrating multisource data
increasing population growth
carbon farming technologies
localization strategies transportation
localization strategies proposed
existing research lacks
agricultural transport increased
total ghg outputs
study systematically evaluates
localized agricultural production
related ghg emissions
global ghg emissions
ghg emissions
future strategies
research method
reducing transport
stage emissions
emissions worldwide
ghg emission
year period
systematic assessment
spatiotemporal evolution
spatiotemporal dynamics
spatial decoupling
results suggest
promoting low
particularly effective
net rise
modeling frameworks
mitigation potential
major contributor
inefficiencies inherent
increase production
greenhouse gas
global trade
future scenarios
future projection
food demand
findings reveal
climate implications
34 %.