Author
DOI: http://dx.doi.org/10.20886/ijfr.2014.1.2.77-88
For further details log on website :
http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/view/1510
Abstract
Allometric equations can be used to estimate biomass and carbon stock of the forest. However, so far the allometric equations for commercial species in Papua tropical forests have not been appropriately developed. In this research, allometric equations are presented based on the genera of commercial species. Few equations have been developed for the commercial species of Intsia, Pometia, Palaquium and Vatica genera and an equation of a mix of these genera. The number of trees sampled in this research was 49, with diameters (1.30 m above-ground or above buttresses) ranging from 5 to 40 cm. Destructive sampling was used to collect the samples where Diameter at Breast Height (DBH) and Wood Density (WD) were used as predictors for dry weight of Total Above-Ground Biomass (TAGB). Model comparison and selection were based on the values of F-statistics, R-sq, R-sq (adj), and average deviation. Based on these statistical indicators, the most suitable model for Intsia, Pometia, Palaquium and Vatica genera respectively are Log(TAGB) = -0.76 + 2.51Log(DBH), Log(TAGB) = -0.84 + 2.57Log(DBH), Log(TAGB) = -1.52 + 2.96Log(DBH), and Log(TAGB) = -0.09 + 2.08Log(DBH). Additional explanatory variables such as Commercial Bole Height (CBH) do not really increase the indicators’ goodness of fit for the equation. An alternative model to incorporate wood density should be considered for estimating the above-ground biomass for mixed genera. Comparing the presented mixed-genera equation; Log(TAGB) = 0.205 + 2.08Log(DBH) + 1.75Log(WD), R-sq: 97.0%, R-sq (adj): 96.9%, F statistics 750.67, average deviation: 3.5%; to previously published datashows that this local species specific equation differs substantially from previously published equations and this site-specific equation is considered to give a better estimation of biomass.
Keywords
Allometric; biomass; wood density; Papua; tropical forest
Full Text:
PDFReferences
Badan Pusat Statistik Provinsi Papua. (2009). Papua Dalam Angka Tahun 2009. Badan Pusat Statistik Provinsi Papua.
Badan Pusat Statistik Provinsi Papua Barat. (2011). Papua Barat Dalam Angka Tahun 2011. Badan Pusat Statistik Provinsi Papua Barat.
Basuki, T. M., Van Laake, P. E., Skidmore, A. K., & Hussin, Y. A. (2009). Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management, 257, 1684–1694.
Brown, S. (1997). Estimating biomass and biomass change of tropical forests: a primer (FAO Forestry Paper 134) (p. 87). Rome: FAO.
Brown, S., & Masera, O. (2003). Supplementary methods and good practice guidance arising from the Kyoto Protocol, Section 4. LULUCF Projects. In J. Penman, M. Gytartsky, T. Hiraishi, T. Krug, D. Kruger, R. Pipatti, … F. Wagner (Eds.), Good Practice Guidance For Land Use, Land-Use Change and Forestry, Intergovernmental Panel on Climate Change National Greenhouse Gas Inventories Programme (pp. 4.89–4.120). Kanagawa: Institute for Global Environmental Strategies (IGES).
Clark, D. A., Brown, S., Kicklighter, D. W., Chambers, J. Q., Thomlinson, J. R., Ni, J., & Holland, E. A. (2001). Net primary production in tropical forests: an evaluation and synthesis of existing field data. Ecological Application, 11(2), 371–384.
De Gier, A. (2003). A new approach to woody biomass assessment in woodlands and shrublands. In P. Roy (Ed.), Geoinformatics for Tropical Ecosystems (pp. 161–198). Dehradun, India: Bishen Singh Mahendra Pal Singh.
Fahrmeir, L., Kneib, T., Lang, S., & Marx, B. (2003). Regression: models, methods and applications. 2013. Berlin, Germany: Springer.
Grant, W. E., Pedersen, E. K., & Marin, S. L. (1997). Ecology and Natural Resource Management (System Analysis and Simulation). New York, USA: John Willey and Sons, Inc.
Hairiah, K., & Rahayu, S. (2007). Pengukuran Karbon Tersimpan di Berbagai Macam Penggunaan Lahan. Bogor: ICRAF.
Intergovernmental Panel on Climate Change. (2006). IPCC Guidelines for National Greenhouse Gas Inventories. Prepared by the National Greenhouse Gas Inventories Programme. (H. E. Eggleston, L. Buendia, K. Miwa, T. Ngara, & K. Tanabe, Eds.). Institute For Global Environmental Strategies.
Ketterings, Q. M., Coe, R., van Noordwijk, M., Ambagau, Y., & Palm, C. A. (2001). Reducing uncertainty in the use of allometric biomass equations for predicting aboveground tree biomass in mixed secondary forests. Forest Ecology and Management, 146, 199–209.
Lu, D. S. (2006). The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing, 27(7), 1297–1328.
Maulana, S. I., & Asmoro, J. P. P. (2010). Penyusunan persamaan allometrik genera Intsia sp. untuk pendugaan biomasa atas tanah pada hutan tropis Papua Barat. Jurnal Penelitian Sosial Dan Ekonomi Kehutanan, 7(4), 275–284.
Nelson, B. W., Mesquita, R., Pereira, J. L. G., de Souza, S. G. A., Batista, G. T., & Couta, L. B. (1999). Allometric regressions for improved estimate of secondary forest biomass in the Central Amazon. Forest Ecology and Management, 117, 149–167.
Nogueira, E. M., Fearnside, P. M., Nelson, B. W., & Franca, M. B. (2007). Wood density in forests of Brazil’s “arc of deforestation”: Implications for biomass and flux of carbon from land-use change in Amazonia. Forest Ecology and Management, 248, 119–135.
Pearson, T., Walker, S., & Brown, S. (2005). Sourcebook for land use, land-use change and forestry projects (p. 57). Washington DC., USA: Winrock International and the BioCarbon Fund of the World Bank.
Plant Resources of South-East Asia (PROSEA). (1993). Timber trees: Major Commercial Timbers Vol. 5 (1). (I. Soerianegara & R. H. M. J. Lemmens, Eds.) (p. 610). Wageningen: Pudoc Scientific Publisher.
Post, W. M., Izaurralde, R. C., Mann, L. K., & Bliss, N. (1999). Monitoring and verification of soil organic carbon sequestration. In N. J. Rosenberg, R. C. Izaurralde, & E. L. Malone (Eds.), Proc. Symp. Carbon Sequestration in Soils Science, Monitoring and Beyond (December 1998) (pp. 41–66). Columbus, OH: Batelle Press.
Samalca, I. K. (2007). Estimation of Forest Biomass and Its Error, A Case in Kalimantan-Indonesia [Thesis]. International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands.
Stewart, J. (1998). Kalkulus (translation by I. N. Susila, Gunawan H.) (4th ed.). Jakarta: Erlangga.
Stewart, J. L., Dunsdon, A. J., Hellin, J. J., & Hughes, C. E. (1992). Wood biomass estimation of Central American dry zone species (Tropical Forestry Papers 26). Oxford Forestry Institute, Department of Plant Sciences, University of Oxford.
Wang, H., Hall, C. A. S., Scatena, F. N., Fetcher, N., & Wu, W. (2003). Modeling the spatial and temporal variability in climate and primary productivity across the Luquillo mountains, Puerto Rico. Forest Ecology and Management, 179, 69–94.
DOI: http://dx.doi.org/10.20886/ijfr.2014.1.2.77-88
For further details log on website :
http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/view/1510
No comments:
Post a Comment