Ecosystem models are increasingly central to the decision‐making for environmental policy, conservation planning, and climate‐related investments. Yet, the growing reliance on Multi‐Model Ensembles (MMEs) of ecosystem models by practitioners and policymakers, sometimes under tight timelines and imperfect information, has frequently outpaced the scientific rigor required to ensure ensemble reliability. Here, MMEs refer to appro...

Understanding how crop trait variability shapes genotype × environment × management (G × E × M) interactions remains a key uncertainty in predicting agricultural performance under a changing climate. Continental‐scale crop models commonly rely on spatially uniform parameters, limiting their ability to represent adaptive variation in phenology, allocation, and yield formation. Here we integrate the mechanistic agroecosystem mod...

Rising temperatures are projected to lead to a decline in global wheat production. However, this global trend belies the regional nuances of this impact, such as observed local yield increases in some field experiments in the winter wheat‐growing region of China. This study combines detailed data from eight field warming experiments and outputs of simulation by an ensemble of three point‐based crop models and an ensemble of 10...

Persistent uncertainty about the economic implications of agroforestry presents a significant barrier to adoption. Despite this, most research to date ignores the impact of uncertainty on land allocation decisions, with studies commonly relying on simplistic scenarios involving a dichotomous choice between switching entirely to agroforestry or retaining the status quo system. For a more realistic decision problem, we explored...