Oil palm are among the best known and most extensively cultivated plant families, especially Indonesia and Malaysia. Many common products and foods are derived from oil palm, its making them one of the most economically important plants. On the other hand, declining supply of raw materials from natural resources has motivated researchers to find alternatives to produce new materials from sustainable resources like oil palm. Oil palm waste is possibly an ideal source for cellulose-based natural fibers and particles. Generally, oil palm waste such as oil palm empty fruit bunches, oil palm trunk, oil palm shell and oil palm ash are good source of biomaterials. Lack of sufficient documentation of existing scientific information about the utilization of oil palm waste raw materials for biomaterial production is the driving force behind the this chapter. Incorporation of various types of biomaterial derived from oil palm waste resources as reinforcement in polymer matrices lead to the development of biocomposites products and this can be used in wide range of potential applications. Properties and characterization of biomaterial from oil palm waste will not only help to promote further study on nanomaterials derived from non-wood materials but also emphasize the importance of commercially exploit oil palm waste for sustainable products.

Management of forest resources cannot be separated from the character attributes of the community. In the arena of community forest action, access to forest resources, which is a people's livelihood, is an important element. The study aimed to analyze the performance of the local community attributes towards community welfare and examine the stratification of community land ownership. This research was carried out in the qualitative descriptive analysis. The results of the analysis showed that 41.56% of the community forest farming groups classified as land-owners. Based on the strata of land ownership showed that 70% in the third strata, which was land-ownership of less than 0.5 ha. This study concluded that the institutional of local community was relatively low because not effective in regulating community behavior. These indicated by the low performance achieved on the welfare of the community, the low ownership of the area of arable land, and the level of welfare of the local community falls into the category of poor and low community education.

Sudrajat DJ, Suwandhi I, Siregar IZ, Siregar UJ. 2018. Variation in seed morpho-physiological and biochemical traits of Java olive populations originated from Java, Bali, Lombok, and Timor Islands, Indonesia. Biodiversitas 19: 1004-1012. Java olive (Sterculia foetida L.) is one of the promising non-edible feedstocks for biodiesel production. Utilization of this tree species for plantation is limited due to knowledge gaps in many fundamental aspects of seed properties. The aim of the study was to determine the variation that may exist among java olive seed collected from Bogor, Palimanan, Tuban, Gilimanuk, Pemenang and Naioni populations, and to analyze correlations between one or many seed morpho-physiological and biochemical traits. Analysis of variance showed significant differences of seed morphological and biochemical traits, except for the germination capacity. Seed morphological traits were not significantly correlated with agro-climate factors, while some of biochemical traits revealed significant correlation with some agroclimate factors. Genotypic variance and genotypic coefficient of variation were higher for fruit length, fruit width, carbohydrate, fat, protein and oil contents, indicating higher genetic contribution on the variance of these traits. High heritability values combined with high genetic gain was found for protein content, fruit width and oil content, that revealed the characters having highly genetic origin with a good number of heritable components. Population clustering exhibited that most of the geographically distant population are genetically related. Pemenang population was found highly associated with oil content, indicating that the population have high potency to develop as the feedstocks for for biodiesel production.

Carbon sequestration and storage are among the most important ecosystem services provided by tropical forests. Improving the accuracy of the carbon mapping of tropical forests has always been a challenge, particularly in countries and regions with limited resources, with limited funding to provide high-resolution and high-quality remote sensing data. This study aimed to examine the use of land-cover and elevation-based methods of aboveground carbon mapping in a tropical forest composed of shrubs and trees. We tested a geostatistical method with an ordinary kriging interpolation using three stratification types: no stratification, stratification based on elevation, and stratification based on land-cover type, and compared it with a simple mapping technique, i.e., a lookup table based on a combination of land cover and elevation. A regression modelling with land cover and elevation as predictors was also tested in this study. The best performance was shown by geostatistical interpolation without stratification and geostatistical interpolation based on land cover, with a coefficient of variation (CV) of the root mean square error (RMSE) of 0.44, better than the performance of lookup table techniques (with a CV of the RMSE of more than 0.48). The regression modeling provided a significant model, but with a coefficient of determination (R2) of only 0.29, and a CV of the RMSE of 0.49. The use of other variables should thus be further investigated. We discuss improving aboveground carbon mapping in the study area and the implications of our results for forest management.

Abstract. The objective of this research was to determine the yield and chemical composition of Litsea cubeba essential oil harvested from different habitat types on Mount Papandayan, West Java, Indonesia. The methods used were determination of sample plots at each habitat, followed by laboratory testing. Leaf samples were taken from each plot, the oil was extracted in the laboratory using steam distillation, which was subsequently analyzed by GC-MS. The results showed that the yield of essential oil was high (2.76-9.33%). The three dominant chemical compounds found were eucalyptol (16.97-55.78%), α-terpinenyl acetate (7.27-20.44%), and sabinene (14.45-68.05%). The results confirmed the expectation that Litsea cubeba essential oils extracted from Litsea cubeba trees growing in various habitats on Mount Papandayan would show a variety in yield and chemical composition.