Currently, non-economical aspects during forest management has only been given less attention, however, social and ecological aspects in the long-term period need to be considered during development of sustainable foret management strategies. Involvement of these non-economical aspects would provide a wider perspective on risk factors in the long-term periods. To better understand those overall economical and non-economical factors during planing of any forest management, we need to confidently predict what the future results will be, by using decision support system (DSS).

We have started to develop such DSS as supported by information obtained from different research activities. The types information we collected are : site index measurement & classification, spatio-temporal aspects for optimum harvesting, modelling tree architecture, modeling forest canopy, modeling distribution of stand diameter, establishment of stand management cluster (unit), and development of forest management scenario. Those research activities are in collaboration with state-owned forest enterprise (Perum Perhutani), PT Musi Hutan Persada, PT Sari Bumi Kusuma, and some are with supported by the ACIAR project.