Published November 9, 2026 | Version 2

Data and code for "Global agricultural trade displaces cropland and creates spatial ecological inequality"

  • 1. College of Land Management, Nanjing Agricultural University, Nanjing, Jiangsu, China
  • 2. National and Local Joint Engineering Research Center for Rural Land Resources Use and Consolidation, Nanjing, Jiangsu, China
  • 3. School of Earth Sciences, Yunnan University, Kunming, Yunnan, China

Description

Data and code for "Global agricultural trade displaces cropland and creates spatial ecological inequality"

This archive holds the processed data and the analysis code behind the quantitative results reported in the paper and its supplemental information. For the benchmark years 2020, 2015 and 2010, the study removes international trade in the four staple crops in a price-responsive partial-equilibrium model, allocates the resulting cropland change in space with the PLUS model, evaluates carbon storage, water yield, soil retention, biodiversity and food production for a baseline and a counterfactual simulation, and analyses the difference between the two simulations and its distribution across economies.

The archive contains seven folders: 01_code (25 Python scripts that document the computation), 02_parameters (parameters of the counterfactual model, InVEST and PLUS), 03_counterfactual (cropland change of each economy and the land-use targets of the simulation), 04_land_cover and 05_ecosystem_services (rasters of both simulations for three years), 06_results (source data of the display items) and 07_robustness (sensitivity analyses and validation checks). Third-party input data are not redistributed; their sources are listed in Table S1-1 of the supplemental information. Data files are released under CC BY 4.0 and code files under the MIT License.

Files

Data and code.zip

Files (9.6 GB)

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Additional details

Funding

National Natural Science Foundation of China
42371276
Postgraduate Research and Practice Innovation Program of Jiangsu Province
26CXJH1727
National Natural Science Foundation of China
42601537

Dates

Available
2026-08-21
Available
2026-11-09