An Analysis On The Investment Of Forestland Modelling Using The Agroforestry Landscape System

Abstract

This research was based on the existence of forestland which had a rather bad degradation, as indicated by the reduced area of forest in East Kalimantan Province, including Kutai Kartanegara Regency due to the natural and human activities. The forest land management by using the agroforestry landscape system was generally profitable for the welfare of people and community surrounding the forest.

This research was conducted in the privately-owned forests using agroforestry system located in Kutai Kartanegara District. The aims of the research were: 1) to study and analyze maximum increment; 2) to find out production level and income rate from each forest land model; 3) to find out the financial feasibility of the forest land modeling using the agroforestry system

The objects of the research included: 1) monoculture super teakwood cultivation; 2) super teakwood and durian cultivation; 3) monoculture durian cultivation; 4) durian and coffee cultivation, and 5) rambutan and mahogany cultivation. Data analysis technique employed in this research was the theories of increment production and other forestland products. Furthermore, the financial feasibility analysis used payback periods, NPV, Net B/C Ratio and IRR.

The results of the research showed that the optimum increment of the monoculture super teakwood and durian production was reached at the age of 25 and 40 years, while for mahogany, this was reached at the age of 30 years. The optimum production of durian, rambutan and coffee was reached at the age of 13 and 25 years. The integrated cultivation of super teakwood and durian generated the biggest income and production compared with other types of forestland cultivation modeling (i.e. the other types of combination). Financially, all types of forestland modeling were worth cultivating because their IRR values were higher than their MAR values. Moreover, the integrated cultivation of super teakwood and durian used the smallest scale of area but the biggest average annual income compared with other types of forestland modeling.

Keywords: Investment Analysis, Landscape Agroforestry, Modeling