Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production

Abstract The global food system puts enormous pressure on the environment. Managing these pressures requires understanding not only where they occur (i.e., where food is produced), but also who drives them (i.e., where food is consumed). However, the size and complexity of global supply chains make it difficult to trace food production to consumption. Here, we provide the most comprehensive dataset of bilateral trade flows of environmental pressures stemming from food production from producing to consuming nations. The dataset provides environmental pressures for greenhouse gas emissions, water use, nitrogen and phosphorus pollution, and the area of land/water occupancy of food production for crops and animals from land, freshwater, and ocean systems. To produce these data, we improved upon reported food trade and production data to identify producing and consuming nations for each food item, allowing us to match food flows with appropriate environmental pressure data. These data provide a resource for research on sustainable global food consumption and the drivers of environmental impact.

Authors

Institutions

Publication Details

Journal
Environmental Data Science
Published
2025-01-01
DOI
https://doi.org/10.1017/eds.2025.10009
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production

Edward H. Allison, Joseph M. DeCesaro, Kirsty L. Nash, Jessica A. Gephart et al.
1 links
Environmental Data Science
Agriculture Sustainability and Environmental Impact
article

Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production

Edward H. Allison, Joseph M. DeCesaro, Kirsty L. Nash, Jessica A. Gephart, David Williams, Gage Clawson, Melanie Frazier, Benjamin S. Halpern, Haley K. Epperly, Halley E. Froelich
article en

Abstract

Abstract The global food system puts enormous pressure on the environment. Managing these pressures requires understanding not only where they occur (i.e., where food is produced), but also who drives them (i.e., where food is consumed). However, the size and complexity of global supply chains make it difficult to trace food production to consumption. Here, we provide the most comprehensive dataset of bilateral trade flows of environmental pressures stemming from food production from producing to consuming nations. The dataset provides environmental pressures for greenhouse gas emissions, water use, nitrogen and phosphorus pollution, and the area of land/water occupancy of food production for crops and animals from land, freshwater, and ocean systems. To produce these data, we improved upon reported food trade and production data to identify producing and consuming nations for each food item, allowing us to match food flows with appropriate environmental pressure data. These data provide a resource for research on sustainable global food consumption and the drivers of environmental impact.

Environmental Data ScienceVol. 4
University of Tasmania (AU), University of Leeds (GB), Australian Antarctic Division (AU), University of California, Santa Barbara (US), University of Washington (US), National Center for Ecological Analysis and Synthesis (US), Centre for Marine Socioecology (AU), Lancaster University (GB), WorldFish (MY)
Openalex Percentile: Top 83%
Agriculture Sustainability and Environmental Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.