Indonesian

Abstract

Muslim T, Suryanto. 2016. Vegetation structure of bangeris habitat (Koompassia excelsa) in the protected forest area of Gunung Lumut, East Kalimantan. Pros Sem Nas Masy Biodiv Indon 2: 193-197. Bangeris (Koompassia excelsa (Becc.) Taub., 1891) grows naturally in the lowland forests of Kalimantan which served as the host for the honey bees to make nests and utilized for honey. The support of the vegetation around bangeris plays an important role for the bees to collect honey. The destruction of ecosystem resulted in the loss of other vegetation types in the bangeris habitat. This research aimed to determine the natural vegetation types growing in the bageris habitat. The making of snippet plots in quadrant was conducted based on a number of bangeris trees and the addition of species on the wane. The analysis was conducted to obtain the quantitative data descriptively and the level of association between bangeris and other species of vegetation using Dice and Jaccard Index. The results showed that the highest level of association for the stake level was Syzygium sp. (Ji = 0.4) with the important value index (IVI) = 6.34. The highest Important Value Index was obtained by Prunus sp. i.e., 13.29 with a low level of association (Ji = 0.1). The highest level of association for the level of tree was Gironiera nervosa i.e., (Ji = 0.5) with a relatively high important value although it was not the highest i.e., 7.36 from a range between 2.10-17.87. Meanwhile, the highest important value was obtained by Endertia spectabilis i.e., 17.87 with a low level of association (Ji = 0.2) from the level of whole association (0.1-0.4). The association level of Endertia spectabilis could not be said to be quite high because the association rate ranged between 0-1, the more approached to 1 then the association levels will be higher. Unlike the Important Value Index that did not have a range of top-down that mentioning the highest and lowest important value, except just by compared with other vegetation in some sample plots. At the level of stake, it could be seen that the level of association with important value inversely proportional. To determine the level of association could be determined based on the amount of plot that a species of vegetation was found, the more amount of plot that a particular type was found then the level of association was higher.