In this review, we have developed a new taxonomic framework for the classification of forest management optimization studies. In the proposed taxonomy, we consider: the study type; model structure; methodology; modeling type; problem objectives, level and type; plan type; and forest structure. We have used the proposed taxonomy to classify 111 articles from the literature, providing a comprehensive overview of optimization approaches in forest management. Based on this classification, we suggest that some developments may be underrepresented in the forest management optimization literature. Accordingly, the most studied is deterministic modelling regarding harvest scheduling and the least studied are fuzzy and stochastic modeling regarding risk and uncertainty.