Climate and air quality co-benefits of a global transition toward blue-food-centered diets

This repository contains all input datasets, intermediate calculations, and final outputs used in the study "Climate and air quality co-benefits of a global transition toward blue-food-centered diets". The repository is organized into three major sections corresponding to the analytical workflow of the study: 01_2015 – Input data and intermediate calculations for the 2015 baseline analysis; 02_Scenarios – Input data and intermediate calculations for all 2050 dietary scenarios; 03_Results – Final results of the national-scale calculation, as well as the grid-based results of air pollution and human health. 01_2015 Code Contains the scripts used to estimate agricultural NH₃ and NOₓ emissions for the 2015 baseline, including emissions from crop production, livestock production, and aquaculture. 1_NH3_cropland.R and 3_NO_cropland.R Crop-related NH₃ and NO emissions from fertilizer application are allocated based on the spatial distribution of fertilizer use. 2_NH3_livestock.R Livestock NH₃ emissions from manure management and NOₓ emissions from fossil fuel use in livestock production are allocated based on the spatial distribution of livestock populations.4_NO_energy_consumption.R NOₓ emissions from on-farm fossil fuel combustion are allocated according to cropland area; NOₓ emissions associated with fertilizer production are distributed using the global industrial NOₓ emission inventory from CEDS; electricity-related emissions are distributed using the global power-sector NOₓ emission inventory from CEDS. 5_NO_bluefood_energy NOₓ emissions from fossil fuel use in freshwater aquaculture are allocated according to the spatial distribution of rice paddies; electricity-related emissions are distributed using the global power-sector NOₓ emission inventory from CEDS. 2015_GHG.xlsx Contains intermediate calculations and final estimates of agricultural greenhouse gas (GHG) emissions for the 2015 baseline. 02_Scenario: Contains the input datasets, intermediate calculations, and model outputs for all 2050 dietary scenarios, including BAU, EAT, EAT-BF, VEG, and VEG-BF. The spatial distribution of agricultural emissions under the BAU scenario was obtained by scaling the 2015 agricultural emission maps using scenario-specific coefficients. The spatial distributions for the other dietary scenarios were derived from the BAU scenario. Code Contains the scripts used to estimate agricultural NH₃ and NOₓ emissions for the scenarios, including emissions from crop production, livestock production, and aquaculture. Input_data Contains the input shapefiles required to run the scripts. Supporting_data Contains all datasets and parameters used to construct the input data for models, including emission factors, spatial proxies, and auxiliary parameters. It also documents the original data sources used to generate the Input_Data files. Results Contains the country-level results of agricultural NH3, NOx, and GHG emission calculations for all dietary scenarios. Special treatment of cattle (India, Nepal, Bhutan).xlsx In India, Nepal, and Bhutan, a substantial proportion of cattle are maintained for non-meat purposes. These cattle populations were treated separately and assumed to remain constant at their 2015 levels under all scenarios. 03_Results: Contains the final processed datasets generated in this study, including: Country-level results for agricultural greenhouse gas (GHG), ammonia (NHc), and nitrogen oxide (NOₓ) emissions under all dietary scenarios. Gridded datasets of agricultural NH3 emissions (kg NH3 ha-1 yr-1), agricultural NOₓ emissions (kg NO ha⁻1 yr-1), annual mean PM2.5 concentrations (μg m-3), ozone (O3) concentrations (ppb), and avoided premature deaths (million people).