Stand structure and biomass estimation for cultivation of Agarwood-producing species on Buru Island, Maluku Province, Indonesia
Abstract
Agarwood is a resin product of agarwood-producing species belonging to the Thymelaeaceae family. This product is categorized as a non-timber forest product and has high value. Species of Aquilaria filaria (Oken) Merr. and Aquilaria cumingiana (Decne.) Ridl. are two agarwood-producing species known to grow natively in the Maluku region. This research aims to observe the stand structure and biomass estimation in several Aquilaria sp. cultivation gardens on Buru Island. Five observation plots with sizes 20 x 20 m have been created in three villages on Buru Island. Standard vegetation analysis, principal component analysis, and simulation of aboveground biomass using bootstrap techniques have already been done. Aquilaria sp. is the most important species in the observed community based on the important value index and cos2 value from principal component analysis. The diversity index shows the medium category with mostly stable conditions based on the evenness index. While the biomass estimation shows an average value of 600.50 kg ha-1 with a standard error 273.26 kg ha-1.
References
GBIF Secretariat Global Biodiversity Information Facility Available online: https://www.gbif.org/ (accessed on 6 December 2023).
Hou, D. Thymelaeaceae. Flora Malesiana - Ser. 1, Spermatophyta 1960, 6, 1–48.
Badan Pusat Statistik Kabupaten Buru Kabupaten Buru Dalam Angka 2022; BPS Kabupaten Buru, 2022;
Badan Pusat Statistik Kabupaten Buru Selatan Kabupaten Buru Selatan Dalam Angka 2022; BPS Kabupaten Buru Selatan, 2022;
Plant of the World Online Aquilaria Lam. | Plants of the World Online | Kew Science Available online: https://powo.science.kew.org/taxon/urn:lsid:ipni.org:names:331359-2 (accessed on 5 December 2023).
Convention on International Trade in Endangered Species of Wild Fauna and Flora CITES Trade Database Available online: https://trade.cites.org/# (accessed on 5 December 2023).
Oksanen, J.; Blanchet, F.G.; Friendly, M.; Kindt, R.; Legendre, P.; McGlinn, D.; Minchin, P.R.; O’Hara, R.B.; Simpson, G.L.; Solymos, P.; et al. Vegan: Community Ecology Package 2019.
Lê, S.; Josse, J.; Husson, F. {FactoMineR}: A Package for Multivariate Analysis. J. Stat. Softw. 2008, 25, 1–18, doi:10.18637/jss.v025.i01.
R Core Team R: A Language and Environment for Statistical Computing 2023.
Mueller-Dombois, D.; Ellenberg, H. Aims and Methods of Vegetation Ecology; John Wiley and Sons, 1974; ISBN 1-930665-73-3.
Chave, J.; Coomes, D.; Jansen, S.; Lewis, S.L.; Swenson, N.G.; Zanne, A.E. Towards a Worldwide Wood Economics Spectrum. Ecol. Lett. 2009, 12, 351–366, doi:10.1111/J.1461-0248.2009.01285.X.
Canty, A.; Ripley, B. Boot: Bootstrap R (S-Plus) Functions. R Packag. version 2016, 1, 3–18.
Davison, A.; Hinkley, D. Bootstrap Methods and Their Application. J. Am. Stat. Assoc. 1997, 94, doi:10.2307/1271471.
Wickham, H. Ggplot2: Elegant Graphics for Data Analysis; Springer-Verlag New York, 2016; ISBN 978-3-319-24277-4.
Kassambara, A. PCA - Principal Component Analysis Essentials - Articles - STHDA Available online: http://www.sthda.com/english/articles/31-principal-component-methods-in-r-practical-guide/112-pca-principal-component-analysis-essentials/ (accessed on 4 December 2023).
Alelign, E.; Teketay, D.; Yemshaw, Y.; Edwards, S. Diversity and Status of Regeneration of Woody Plants on the Peninsula of Zegie, Northwestern Ethiopia. Trop. Ecol. 2007, 48, 37.
Basuki, T.M.; van Laake, P.E.; Skidmore, A.K.; Hussin, Y.A. Allometric Equations for Estimating the Above-Ground Biomass in Tropical Lowland Dipterocarp Forests. For. Ecol. Manage. 2009, 257, 1684–1694, doi:10.1016/J.FORECO.2009.01.027.
Stas, S.M.; Rutishauser, E.; Chave, J.; Anten, N.P.R.; Laumonier, Y. Estimating the Aboveground Biomass in an Old Secondary Forest on Limestone in the Moluccas, Indonesia: Comparing Locally Developed versus Existing Allometric Models. For. Ecol. Manage. 2017, 389, 27–34, doi:10.1016/J.FORECO.2016.12.010.
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