In this review, we have developed a newtaxonomic framework for the classification of forest management optimizationstudies. In the proposed taxonomy, we consider: the study type; model structure;methodology; modeling type; problem objectives, level and type; plan type; andforest structure. We have used the proposed taxonomy to classify 111 articlesfrom the literature, providing a comprehensive overview of optimizationapproaches in forest management. Based on this classification, we suggest thatsome developments may be underrepresented in the forest management optimizationliterature. Accordingly, the most studied is deterministic modelling regardingharvest scheduling and the least studied are fuzzy and stochastic modelingregarding risk and uncertainty.
Cite this paper as: Çağlayan, İ., Yeşil, A., Çınar, D., Cieszewski, C., 2018. Taxonomy for the Optimization in Forest Management: A Review and Assessment. Forestist 68(2): 122-135