Author : Siti Latifah

Summary : This study was conducted primarily to develop a yield prediction model for forest plantation of Eucalyptus spp in Aek Nauli, North Sumatra, Indonesia as a contribution toward sustainable forestry development and management. Specifically, it aimed to : develop growth and yield models for Eucalyptus plantations, test the models to identify the best growing species, integrate growth and yield models into a GIS model and recommend appropriate management strategies to improve growth and yield. There is significant difference between models among Eucalyptus species to predict the merchantable volume. Consequently, each Eucalyptus species has a specific model to predict the yield. Results show that E. hybrid has the highest (230 cubic m/ha) of averages predicted volume in year 7 and E. pellita has the lowest (104 cubic m/ha) of averages predicted volume in year 7. The most imporatnt factors affecting yield of the E. urophylla, and all species are rainfall while for E. grandis, E. pellita and mixed Eucalyptus are stand density, levation, interaction site index and age, respectively.