It is crucial to understand the impacts of global change stressors on phytoplankton biomass and abundance, particularly in order to inform our developing understanding of marine ecosystems under future stress. To date, traditional models have struggled. In this paper, Tong et al have developed an innovative new model that incorporates generalized additive models, principal component analysis, and artificial neural networks. This is a comprehensive new framework that has advanced the accuracy of predictions and reduced bias.