17 research outputs found

    Initial Screening of Fast-growing Tree Species Being Tolerant of Dry Tropical Peatlands in Central Kalimantan, Indonesia

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    An investigation of the recruit, survivorship and growth of naturally regenerating tree species on canal bank was conducted to select tree species which are suitable for preceding planting in drained and burnt peat swamp lands in Central Kalimantan, Indonesia. Top of the canal bank were open, with greater soil moisture deficit and higher soil temperatures than on the next intact forest floor. The abundant trees were asam-asam (Ploiarium alternifolium),garunggang (Cratoxylon arborescens) and tumih (Combretocarpus rotundatus). New regeneration of these trees on the canal bank was confirmed during this investigation and mortality was very low. These results indicated that P. alternifolium,C. arborescens and C. rotundatuswere tolerant of intensive radiation, soil drought and high soil temperatures during germination. The annual height increments were 189-232 cm y-1 (P. alternifolium),118-289 cm y-1 (C. arborescens)and 27-255 cm y-1 (C. rotundatus); thus, these three species could be classified as fast-growing with tolerance to open and dry conditions. Such characteristics were important to avoid competition with herbs, ferns,and/ or climbers. The results·suggest that P.alternifolium,C. arborescens and C. rotundatusare suitable for preceding planting for the rehabilitation of the disturbed peat swamp forests of Central Kalimantan

    Denial of long-term issues with agriculture on tropical peatlands will have devastating consequences

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    Kearifan Lokal Pemanenan Madu Hutan Masyarakat Desa Muara Ripung Kecamatan Dusun Selatan Kabupaten Barito Selatan

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    Forest honey is widely known as non-timber forest products (NTFPs) with high economic value and contains many beneficial substances for human body. Forest honey in several villages in South Barito district has been managed traditionally. This study aims to describe the processes of forest honey cultivation and the application of local wisdom values in a group of honeybee farmer in Muara Ripung Village, South Barito. A qualitative measurement through in-depth interview and field observations were applied in data collection and analysis. The results show that forest honey management helps to sustain forest area since forest is essential to support the availability of honey nest and bees feed. In addition, farmers also still use traditional harvesting tools and procedures as did by their predecessors

    Landowner perceptions towards bioenergy production on degraded lands in Indonesia

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    Various tree species have been identified as having potential for bioenergy and restoration of degraded land. Using degraded land for bioenergy production provides Indonesia with an opportunity to meet its rapidly growing energy demand while creating productive landscapes. However, bioenergy production is not feasible without landowner participation. This study investigates factors affecting preferences for restoration tree species by analysing responses from 150 landowners with fire experience in Buntoi village in Central Kalimantan l. Results indicate 76% of landowners preferring familiar species with readily available markets, such as Albizia chinensis (sengon) and Hevea brasiliensis (rubber), for restoration on degraded land, with only 8% preferring Calophyllum inophyllum L. (nyamplung) for bioenergy production. The latter group of landowners revealed a capacity to handle the uncertainty of the bioenergy market as they had additional jobs and income, had migrated from Java where nyamplung is prevalent, or preferred agricultural extension to improve their technical capacity. These results contribute to identifying key conditions for a bottom-up approach to bioenergy production on degraded land in Indonesia: a stable bioenergy market for landowners, application of familiar bioenergy species, and agricultural extension support for capacity building

    Predicting oil palm leaf nutrient contents in kalimantan, indonesia by measuring reflectance with a spectroradiometer

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    Leaf nutrients are needed for oil palm growth and production, and the nutrient contents of oil palm leaves can be determined by the chemical analyses of the number 9 and 17 leaves for young and adult palms, respectively. However, the accurate selection of the proper leaf for sampling is problematic. Remote sensing techniques based on the reflectance values of leaves may easily monitor leaf nutrients in oil palm plantations. We studied leaf nutrient contents using spectral reflectance data to determine suitable wavelengths for predicting the contents of the most important leaf nutrients: nitrogen, phosphorus, potassium, calcium, magnesium, boron, copper, and zinc. The samples were taken from one oil palm plantation in Pundu, Central Kalimantan, Indonesia. The proposed vegetative indices, several common vegetative indices, and a stepwise regression that continued with a principal component regression were used to build models for predicting leaf nutrient contents. The proposed vegetative indices performed better than the common vegetative indices. For each of the leaf nutrients, models that included all of the significant variables from the stepwise regression and continued with principal component regression from the ultraviolet A and green to far red wavelength groups had better performance levels than models that included individually selected variables selected from each wavelength group. For total leaf nutrient content predictions, variables from the green wavelength group were always selected and contributed more to the models than any other group. Thus, our proposed vegetative indices and multivariate model may be used to predict leaf nutrient contents in oil palm plantations
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