. Community smallholder forests in various places in Indonesia have different characteristics that depend on many factors that cause the development of community smallholder forests. This study aims to determine the characteristics of community smallholder forest management, the components and the interrelationships between the components that constructed the community smallholder forest system. The study was conducted at Semoyo Village, Gunungkidul Regency. Data were collected by interviewing seventy-two respondents who were purposively chosen, then tabulated and analyzed in a descriptive qualitative manner. Diameter of tree measurements on the respondent's forest land are carried out by census. In the next stage, the construction of the community smallholder forest system is carried out in a causal loop diagram based on the management characteristics found. The results show that the community smallholder forest system is composed of the main components of cultivated land, plant resources, human resources, management activities, and the purpose of managing forests. The component of land resources and human resources determines the agroforestry planting patterns chosen. The activity components, which are planting, maintaining, and cutting, have a positive loop and form different stand structures in different agroforestry planting patterns
Community forests in Gunungkidul have developed for a long time and are managed in a traditional way, known as pekarangan, moor and wono. Most of the community forest planting patterns found in Semoyo Village are agroforestry patterns, where trees are planted with a mix of various tree species and one type is dominated, for example teak or mahogany. This study aims to determine the differences in the shape of the diameter distribution of mahogany and teak in dry fields and yards which are dominated by one tree species. The method used is quantitative analysis to produce diameter distribution and draw a curve to describe the stand structure. The results showed that for the type of mahogany in the yard and moor in all class diameters, the number of trees was higher than teak. The diameter distribution of mahogany and teak both in the yard and dry land both showed a shape that resembled an inverted J and was successfully modeled using the exponential model.
Strong winds that occur can damage the Eucalyptus pellita plant thereby reducing wood production at the end of the rotation. Biometric characteristics are very important to predict the criteria for trees that are at risk of damage due to wind. This study aims to determine the biometric characteristics that play a role in the risk of trees being damaged by wind. The study was conducted on Eucalyptus pellita aged 5 years. The biometric characteristics studied consisted of diameter at breast height (DBH), total height (H) and crown length (CL) as well as the ratio of H/DBH (slenderness inde)x and CL/H (percentage of crown). Binary logistic regression analysis was used to analyized the probability of tree damage due to wind. The results showed that the regression model with the independent variable H/DBH was a suitable model. The H/DBH ratio or tree slenderness index is a biometric characteristic that contributes 11,4% to explain the risk of wind damage.
Keywords: binary logistic regression ; percentage of crown; slenderness index
The aim of this research is to define rotation of optimal volume production of teak private smallholder forest. Sample of trees were taken by using purposive sampling method in cutting activity area. Seventy trees have choosen by diameter distribution, healthy and straigh stem. Every sample trees were measured with stem analysis method. Rotation of maximum volume production define by growth curve, mean annual increament (MAI) and current annual increament (CAI) curve. The result show that height youth stage begin 2 until 6 year, diameter youth stage begin 3 until 10 year, volume youth stage begin 4 until 25 year and rotation of maximum volume production is 25 year.
Key words: Rotation of optimal volume production, Stem analysis, Growth curve
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