Data-driven forecasting of tropical cloud forest phenology: A dynamical systems and machine learning hybrid approach

Forecasting how species and ecosystems respond to climate change is a critical challenge in ecology, particularly in hyper-diverse tropical biomes. While traditional phenological models often rely on preconceived functional forms, this study introduces a data-driven hybrid approach that integrates d