Reproducibility Package: A Nutrition-Based Marginal Abatement Cost Curve for Enteric Methane Mitigation in U.S. Dairy Production
Year: 2026
Type: software
Abstract: Complete reproducibility package for a study constructing a marginal abatement cost curve (MACC) for enteric methane mitigation in U.S. dairy production, using a mechanistically informed, cow-level diet-optimization framework rather than literature-derived engineering assumptions. Includes: Python source code reproducing the full pipeline: dietary NDF reduction (Lever A, constrained nonlinear optimization), 3-nitrooxypropanol supplementation (Lever B, with an explicitly modeled Lever A x B interaction), rumen-available fat supplementation (Lever C), and replacement-rate reduction (Lever D); 10,000-iteration Monte Carlo uncertainty propagation, including adoption-rate uncertainty in the national-scale scaling exercise; All nine result tables and five figures reported in the accompanying manuscript; Full documentation (codebook, data description, reproducibility checklist, and a step-by-step replication guide). The study finds that the two most cost-effective levers (dietary NDF reduction and replacement-rate reduction) are cost-saving even without carbon market participation, while a feed additive (3-NOP) and rumen-available fat supplementation are cost-positive; critically, the two most cost-effective levers account for only a small share of the total illustrative national abatement potential identified, demonstrating that cost-effectiveness ranking and abatement-potential ranking are distinct properties of a mitigation portfolio. This package is organized around the study itself rather than any single journal submission, so that it remains valid regardless of the eventual publication venue or manuscript title.
Language: English
Subfield: Animal Science and Zoology
Domain: Life Sciences
SDGs: Zero hunger, Climate action
Open Access status: green
OpenAlex ID: W7208827924