A nonlinear methane response to nitrogen fertilization reshapes the climate warming potential of global rice production
software
posted on 2025-12-02, 02:14 authored by Weilu WangWeilu Wang, Jinyang WangJinyang Wang, Xianxian Zhang, Yi Yang, Huifeng Sun, Hong Pan, Reiner Wassmann, Smith Pete, Rattan Lal, Philippe Ciais, Josep Peñuelas, Thuong Vo, XIAOQING CUI, Van Trinh Mai, Jingrui Yang, Jianchang Yang, Sheng Zhou, Xiaoyuan Yan, Longlong Xia<p dir="ltr">This repository contains the code used to perform the meta-analysis, to train and tune the machine‐learning models, and to conduct SHAP-based model interpretation for rice paddy systems. It also provides an example script for optimizing chemical nitrogen application rates to balance greenhouse gas (GHG) emissions and rice yield. The optimization script is intended as an illustrative example and can be modified for other applications.</p>