Model Outputs and Analysis Code for “Food-System Spillovers Extend the Benefits of Phenology-Based Staple Crop Adaptatio

This dataset contains the model outputs, supporting data, and analysis code used in the study “Food-system spillovers extend the benefits of phenology-based staple crop adaptation.”The study combines crop-yield projections from the Global Gridded Crop Model Intercomparison (GGCMI) with the Global Change Analysis Model (GCAM v7.0) to examine how phenology-based cultivar adaptation in maize, wheat, rice, and soybean affects crop production, land allocation, food prices, and the affordability of a healthy diet.

The analysis covers SSP1–2.6, SSP2–4.5, and SSP3–6.0 through the end of the twenty-first century. Unless otherwise specified, all effects compare simulations including climate change and cultivar adaptation with paired simulations including the same climate change but no cultivar adaptation.The dataset includes climate-change-only model outputs; cultivar-adaptation outputs incorporating a USDA-calibrated 10% increase in seed costs; adaptation outputs without additional seed costs; seed-cost sensitivity experiments spanning increases from 0% to 100%; population, income, income-distribution, and food-consumption inputs used to estimate healthy-diet affordability; USDA crop cost-and-return data; GCAM regional boundary files; and Python scripts and a Jupyter Notebook for reproducing the main and supplementary figures.Large GCAM output collections are provided as ZIP archives.