DOI: 10.5061/dryad.vq83bk3zd
title: Food matters: Dietary shifts increase the feasibility of 1.5°C pathways in line with the Paris Agreement

description: A transition to healthy diets like the EAT-Lancet Planetary Health Diet
 could considerably reduce GHG emissions. However, the specific
 contributions of dietary shifts for the feasibility of 1.5°C pathways
 remain unclear. Here, we use the open-source Integrated Assessment
 Modeling (IAM) framework REMIND-MAgPIE to compare 1.5°C pathways with and
 without dietary shifts. We find that a flexitarian diet increases the
 feasibility of the Paris Agreement climate goals in different ways: The
 reduction of GHG emissions related to dietary shifts, especially methane
 from ruminant enteric fermentation, increases the 1.5°C-compatible carbon
 budget. Therefore, dietary shifts allow us to achieve the same climate
 outcome with less carbon dioxide removal (CDR) and less stringent CO2
 emission reductions in the energy system, which reduces pressure on GHG
 prices, energy prices and food expenditures. This dataset provides raw
 data for all figures shown in the paper. It includes data for three
 scenarios: SSP2-NDC, SSP2-1.5°C and SSP2-1.5°C-DietShift. All data is at
 global level and for the period 2020-2100. Raw data for each figure panel
 is provided on individual data sheets in a single .xlsx file. The
 structure of the data is identical on each sheet, organized in columns for
 model, scenario, region, variable, unit, year and value.
description: This dataset has been produced with the open-source Integrated Assessment Modeling (IAM)
 framework REMIND-MAgPIE. The
 source code for MAgPIE 4.6.7 is openly available at https://github.com/magpiemodel and http://doi.org/10.5281/zenodo.7923602. The model documentation can be found at https://rse.pik-potsdam.de/doc/magpie/4.6.7/. Instructions for software installation and running the model are available at https://github.com/magpiemodel/magpie. The source code for REMIND 3.2.0 is openly available at https://github.com/remindmodel and http://doi.org/10.5281/zenodo.7852740. The model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. Instructions for software installation, running the model and coupling to MAgPIE (<em>tutorials</em> subfolder) are available at https://github.com/remindmodel/remind.
description: Microsoft Excel, LibreOffice Calc Spreadsheet, R-Studio
description: # Food matters: Dietary shifts increase the feasibility of 1.5°C pathways
 in line with the Paris Agreement This dataset contains results of a
 forward-looking modelling study conducted with the opensource Integrated
 Assessment Modelling (IAM) framework REMIND-MAgPIE (REMIND 3.2.0 and
 MAgPIE 4.6.7). Data is provided for three scenarios: SSP2-NDC, SSP2-1.5°C
 and SSP2-1.5°C-DietShift. All data is at global level and for the period
 2020-2100. ## Description of the data and file structure Raw data for each
 figure panel is provided on individual data sheets in a single xlsx file.
 The structure of the data is identical on each sheet, organized in columns
 for model, scenario, region, variable, unit, year and value. Fig1:
 Overview of scenario assumptions for dietary composition, per-capita food
 intake and food waste (kcal per capita per day) Fig2a: Global mean
 temperature incrase (K) Fig2b: Global GHG price (USD2020 per ton CO2eq)
 Fig2c: Annual CH4 and N2O emissions (Gt CO2eq per year) Fig2d: Annual CO2
 emissions (Gt CO2 per year) Fig2e: Cumulative net CO2 emissions (Gt CO2)
 Fig2f: Cumulative carbon dioxide removal (Gt CO2) Fig2g: Demand modern
 bioenergy (2nd gen.) (EJ per year) Fig2h: Final energy price (Index
 2020=100) Fig2i: Forest and other natural land (change in Mha since 2020)
 Fig2j: Landuse intensity indicator tau (index) Fig2k: Nitrogen surplus on
 cropland (Mt N per year) Fig2l: Per-capita food expenditure (USD2020 per
 capita per year) Fig3a: GHG emissions from Agriculture, Forestry and Other
 Land Use (AFOLU) (Gt CO2eq per year) Fig3b: GHG emissions from energy and
 industry (Gt CO2eq per year) Fig4: Subcategories of GHG emissions from
 Agriculture, Forestry and Other Land Use (AFOLU) (Gt CO2eq per year) Fig5:
 Carbon Dioxide Removal (CDR) (Gt CO2 per year) Fig6: Land-use change of
 major land types (Change in Mha compared to 2020) ## Sharing/Access
 information Data was derived from the following sources: *
 [https://doi.org/10.5281/zenodo.8328217](https://doi.org/10.5281/zenodo.8328217)