A diffusive logistic growth model to describe forest recovery

► We model forest recovery using a diffusive logistic growth model (DLG). ► We applied the model to quantify forest recovery in Puerto Rico from 1952 to 1991-1992. ► The model was moderately accurate and better than a null model in predicting forest recovery. ► This is a novel way to study the process of forest recovery in continuous space and time.