Abstract
The question is how to estimate carbon stock in community forests in Indonesia. Field carbon stocks were estimated, in Lampung Province (southern Sumatra), using allometric methods based on measurements in 20 m × 100 m plots. A non-destructive method was applied to individual trees with breast-height diameter (DBH) more than 30 cm, and a destructive method was used for trees with DBH below 30 cm. Landsat images (path 123 and row 64) were used to calculate the carbon stock in community forests for two different years (2006 and 2009). According to the GIS analysis, this study covers 1853 ha, which include four land-cover types: selectively cut woods, shrub-mixed dryland farm, shrub-bush land, and bare land. Carbon measurement in the community forest suggested that the most carbon was in trees of DBH 5–30 cm and the least was in the shrubs of the research area. Field measurements showed that, in general, the average carbon stock in the selectively cut area was 32 t/ha, which was higher than in the other cover types, i.e., 22 t/ha for shrub-mixed dryland farm, 14 t/ha for the bush/shrub cover, and 5.8 t/ha for the bare land. This study is limited in that it does not include soil carbon, due to the time and technological constraints involved in estimating soil carbon. Future studies, though, should include soil carbon data for a whole-ecosystem analysis of community forests.
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Acknowledgements
The authors gratefully thank the Ministry of Forestry of the Republic of Indonesia , Tanggamus Forestry Service of Tanggamus District, and the Global Environmental Leaders (GELs) Education Program of Hiroshima University for their financial support. The second author especially thanks the Joint Japan World Bank Graduate Scholarship Program (JJ/WBGSP) for his financial support.
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Nakagoshi, N., Supriatna, A.Y., Arifin, H.S. (2016). Carbon-Stock Measurement in Community Forests in Lampung Province, Sumatra. In: Box, E. (eds) Vegetation Structure and Function at Multiple Spatial, Temporal and Conceptual Scales. Geobotany Studies. Springer, Cham. https://doi.org/10.1007/978-3-319-21452-8_22
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DOI: https://doi.org/10.1007/978-3-319-21452-8_22
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