Allometric equations for estimating biomass of community forest tree species in Madiun, Indonesia
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Abstract. Wirabuana PYAP, Setiahadi R, Sadono R, Lukito M, Martono DS, Matatula J. 2020. Allometric equations for estimating biomass of community forest tree species in Madiun, Indonesia. Biodiversitas 21: 4291-4300. The capability of community forests for offsetting carbon emissions highly depends on their biomass production. Unfortunately, the measurement of tree biomass in community forests using a destructive method is expensive and time-consuming. It is also almost impossible to conduct this method for all trees in the observation area. Therefore, the development of allometric equations is essential to support tree biomass estimation in community forests. This study was designed to construct specific models for predicting individual tree biomass in community forests, located in Madiun, Indonesia. We destructively sampled approximately 120 trees from four different species (30 trees for each species), i.e., Falcataria moluccana, Melia azedarach, Swietenia macrophylla, and Tectona grandis. For every tree sample, the measurement of biomass was conducted in each tree’s component, namely roots, stem, branches, and leaves. The allometric equations were developed with regression analysis using predictor variables, like diameter at breast height (D), squared diameter at breast height combined with tree height (D2H), as well as D and H separately. Results found that for four species, the mean biomass in the stem was 50.3%, followed by branches 25.4%, roots 15.9%, and leaves 8.3%. The best equation for estimating biomass in every component and total of four species was different. However, our study showed that the equation ln? = -3.037 + 1.430 lnD + 1.684 was reliable to estimate total individual tree biomass of four species in the surveyed area since this model had accuracy of 90.8%. Referring to these findings, we recommended the utilization of an allometric equation as an alternative method for facilitating more efficient biomass measurement in the community forests.
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References
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Dong L, Zhang L, Li F. 2018. Additive biomass equations based on different dendrometric variables for two dominant species (Larix gmelini Rupr. and Betula platyphylla Suk.) in natural forests in the Eastern Daxing’an Mountains, Northeast China. Forests 9(5): 1–24. https://doi.org/10.3390/f9050261
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Mate R, Johansson T, Sitoe A. (2014). Biomass equations for tropical forest tree species in mozambique. Forests 5(3): 535–556. https://doi.org/10.3390/f5030535
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Nam VT, Van Kuijk M, Anten NPR. 2016. Allometric equations for aboveground and belowground biomass estimations in an evergreen forest in Vietnam. PLoS ONE 11(6): 6–9. https://doi.org/10.1371/journal.pone.0156827
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Setiahadi R. 2017. How significant is the existence of forest community contribution in GHG emissions reduction?. Journal of Engineering and Applied Sciences 12(19): 4826–4830. https://doi.org/10.3923/jeasci.2017.4826.4830
Velázquez-Martí B, Fernández-González E, López-Cortés I, Salazar-Hernández DM. 2011. Quantification of the residual biomass obtained from pruning of trees in Mediterranean olive groves. Biomass and Bioenergy 35(7): 3208–3217. https://doi.org/10.1016/j.biombioe.2011.04.042
Viera M, Rodríguez-Soalleiro R. 2019. A complete assessment of carbon stocks in above and belowground biomass components of a hybrid eucalyptus plantation in Southern Brazil. Forests, 10(7), 536. https://doi.org/10.3390/f10070536
Wirabuana PYAP, Sadono R, Jurniarso S. 2019. Fertilization effects on early growth, aboveground biomass, carbon storage, and leaf characteristics of Eucalyptus pellita F.Muell. in South Sumatra. Jurnal Manajemen Hutan Tropika 25(3): 154–163. https://doi.org/10.7226/jtfm.25.3.154
Wirabuana PYAP, Sadono R, Juniarso S. 2020. Planting depth management increases early growth, aboveground biomass, and carbon storage of Eucalyptus pellita at Ultisols in South Sumatra. Journal of Degraded and Mining Lands Management 7(4): 2253–2261. https://doi.org/10.15243/jdmlm.
Xue Y, Yang Z, Wang X, Lin Z, Li D, Su S. 2016. Tree biomass allocation and its model additivity for Casuarina equisetifolia in a tropical forest of Hainan Island, China. PLoS ONE 11(3): 1–20. https://doi.org/10.1371/journal.pone.0151858
Yue JW, Guan JH, Deng L, Zhang JG, Li G, Du S.2018. Allocation pattern and accumulation potential of carbon stock in natural spruce forests in northwest China. PeerJ 15(5): 1–21. https://doi.org/10.7717/peerj.4859
Zeng W, Tang S. 2012. Modeling compatible single-tree aboveground biomass equations for masson pine (Pinus massoniana) in southern China. Journal of Forestry Research 23(4): 593–598. https://doi.org/10.1007/s11676-012-0299-4
Zhang H, Wang K, Xu X, Song T, Xu Y, Zeng F. 2015. Biogeographical patterns of biomass allocation in leaves, stems, and roots in Chinas forests. Scientific Reports 5: 1–12. https://doi.org/10.1038/srep15997
Zhang X, Cao QV, Xiang C, Duan A, Zhang J. 2017. Predicting total and component biomass of Chinese fir using a forecast combination method. IForest 10(4): 687–691. https://doi.org/10.3832/ifor2243-010
Arnhold E. 2018. R-environment package for regression analysis. Pesquisa Agropecuaria Brasileira 53(7): 870–873. https://doi.org/10.1590/S0100-204X2018000700012
Baral S, Gautam AP, Vacik H. 2018. Ecological and economical sustainability assessment of community forest management in Nepal: A reality check. Journal of Sustainable Forestry 37(8): 820–841. https://doi.org/10.1080/10549811.2018.1490188
Battulga P, Tsogtbaatar J, Dulamsuren C, Hauck M. 2013. Equations for estimating the above-ground biomass of Larix sibirica in the the forest-steppe of Mongolia. Journal of Forestry Research 24(3): 431–437. https://doi.org/10.1007/s11676-013-0375-4
Chen D, Huang X, Zhang S, Sun X. 2017. Biomass modeling of larch (Larix spp.) plantations in China based on the mixed model, dummy variable model, and Bayesian hierarchical model. Forests 8(8): 1–8. https://doi.org/10.3390/f8080268
Daba DE, Soromessa T. 2019. Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species. Ecosystem Health and Sustainability 5(1): 86–97. https://doi.org/10.1080/20964129.2019.1591169
Dong L, Zhang L, Li F. 2015. Developing additive systems of biomass equations for nine hardwood species in Northeast China. Trees 29: 1149–1163. https://doi.org/10.1007/s00468-015-1196-1
Dong L, Zhang L, Li F. 2018. Additive biomass equations based on different dendrometric variables for two dominant species (Larix gmelini Rupr. and Betula platyphylla Suk.) in natural forests in the Eastern Daxing’an Mountains, Northeast China. Forests 9(5): 1–24. https://doi.org/10.3390/f9050261
Ekoungoulou R, Niu S, Joël Loumeto J, Averti Ifo S, Enock Bocko Y, Mikieleko F, … Liu X. 2015. Evaluating the carbon stock in above-and below- ground biomass in a Moist Central African Forest. Applied Ecology and Environmental Sciences 3(2): 51–59. https://doi.org/10.12691/aees-3-2-4
Guendehou GHS, Lehtonen A, Moudachirou M, Mäkipää R, Sinsin B. 2012. Stem biomass and volume models of selected tropical tree species in West Africa. Southern Forests 74(2): 77–88. https://doi.org/10.2989/20702620.2012.701432
Hakamada R, Hubbard RM, Ferraz S, Stape JL. 2017. Biomass production and potential water stress increase with planting density in four highly productive clonal eucalyptus genotypes. Southern Forests?79(3): 251–257. https://doi.org/10.2989/20702620.2016.1256041
He H, Zhang C, Zhao X, Fousseni F, Wang J, Dai H, … Zuo Q. 2018. Allometric biomass equations for 12 tree species in coniferous and broadleaved mixed forests, Northeastern China. PLoS ONE 13(1): 1–16. https://doi.org/10.1371/journal.pone.0186226
Hosoda K, Iehara T. 2010. Aboveground biomass equations for individual trees of Cryptomeria japonica, Chamaecyparis obtusa and Larix kaempferi in Japan. Journal of Forest Research 15: 299–306. https://doi.org/10.1007/s10310-010-0192-y
Jing D, Du Z, Wang M, Wang Q, Ma H, Liu F, … Dong Y. 2018. Regulatory effects of root pruning on leaf nutrients, photosynthesis, and growth of trees in a closed-canopy poplar plantation. PLoS ONE 13(5): 1–12. https://doi.org/10.1371/journal.pone.0197515
Kebede B, Soromessa T. 2018. Allometric equations for aboveground biomass estimation of Olea europaea L. subsp. cuspidata in Mana Angetu Forest. Ecosystem Health and Sustainability 4(1): 1–12. https://doi.org/10.1080/20964129.2018.1433951
Latifah S, Muhdi M, Purwoko A, Tanjung E. 2018. Estimation of aboveground tree biomass Toona sureni and Coffea arabica in agroforestry system of Simalungun, North Sumatra, Indonesia. Biodiversitas 19(2): 620–625. https://doi.org/10.13057/biodiv/d190239
Li H, Zhao P. 2013. Improving the accuracy of tree-level aboveground biomass equations with height classification at a large regional scale. Forest Ecology and Management 289: 153–163. https://doi.org/10.1016/j.foreco.2012.10.002
Mate R, Johansson T, Sitoe A. (2014). Biomass equations for tropical forest tree species in mozambique. Forests 5(3): 535–556. https://doi.org/10.3390/f5030535
Maulana SI, Wibisono Y, Utomo S. 2016. Development of local allometric equation to estimate total aboveground biomass in Papua Tropical Forest. Indonesian Journal of Forestry Research 3(2): 107–118. https://doi.org/10.20886/ijfr.2016.3.2.107-118
Mendoza-Ponce A, Galicia L. 2010. Aboveground and belowground biomass and carbon pools in highland temperate forest landscape in Central Mexico. Forestry 83(5): 497–506. https://doi.org/10.1093/forestry/cpq032
Nam VT, Van Kuijk M, Anten NPR. 2016. Allometric equations for aboveground and belowground biomass estimations in an evergreen forest in Vietnam. PLoS ONE 11(6): 6–9. https://doi.org/10.1371/journal.pone.0156827
Nogueira Junior LR., Engel VL, Parrotta JA, Melo ACG, Ré DS. 2014. Equações alométricas para estimativa da biomassa arbórea em plantios mistos com espécies nativas na restauração da Mata Atlântica. Biota Neotropica 14(2): 1–9. https://doi.org/10.1590/1676-06032013008413
Purwanto RH, Rohman, Maryudi A, Yuwono T, Permadi DB, Sanjaya M. 2015. Potensi biomasa dan simpanan karbon jenis-jenis tanaman berkayu di hutan rakyat Desa Nglanggeran, Gunungkidul, Daerah Istimewa Yogyakarta. Jurnal Ilmu Kehutanan 6(2): 128–141. https://doi.org/10.22146/jik.5778
Rodríguez-Soalleiro R, Eimil-Fraga C, Gómez-García E, García-Villabrille JD, Rojo-Alboreca A, Muñoz F, … Pérez-Cruzado C. 2018. Exploring the factors affecting carbon and nutrient concentrations in tree biomass components in natural forests, forest plantations and short rotation forestry. Forest Ecosystems 5(35): 1–18. https://doi.org/10.1186/s40663-018-0154-y
Setiahadi R. 2017. How significant is the existence of forest community contribution in GHG emissions reduction?. Journal of Engineering and Applied Sciences 12(19): 4826–4830. https://doi.org/10.3923/jeasci.2017.4826.4830
Velázquez-Martí B, Fernández-González E, López-Cortés I, Salazar-Hernández DM. 2011. Quantification of the residual biomass obtained from pruning of trees in Mediterranean olive groves. Biomass and Bioenergy 35(7): 3208–3217. https://doi.org/10.1016/j.biombioe.2011.04.042
Viera M, Rodríguez-Soalleiro R. 2019. A complete assessment of carbon stocks in above and belowground biomass components of a hybrid eucalyptus plantation in Southern Brazil. Forests, 10(7), 536. https://doi.org/10.3390/f10070536
Wirabuana PYAP, Sadono R, Jurniarso S. 2019. Fertilization effects on early growth, aboveground biomass, carbon storage, and leaf characteristics of Eucalyptus pellita F.Muell. in South Sumatra. Jurnal Manajemen Hutan Tropika 25(3): 154–163. https://doi.org/10.7226/jtfm.25.3.154
Wirabuana PYAP, Sadono R, Juniarso S. 2020. Planting depth management increases early growth, aboveground biomass, and carbon storage of Eucalyptus pellita at Ultisols in South Sumatra. Journal of Degraded and Mining Lands Management 7(4): 2253–2261. https://doi.org/10.15243/jdmlm.
Xue Y, Yang Z, Wang X, Lin Z, Li D, Su S. 2016. Tree biomass allocation and its model additivity for Casuarina equisetifolia in a tropical forest of Hainan Island, China. PLoS ONE 11(3): 1–20. https://doi.org/10.1371/journal.pone.0151858
Yue JW, Guan JH, Deng L, Zhang JG, Li G, Du S.2018. Allocation pattern and accumulation potential of carbon stock in natural spruce forests in northwest China. PeerJ 15(5): 1–21. https://doi.org/10.7717/peerj.4859
Zeng W, Tang S. 2012. Modeling compatible single-tree aboveground biomass equations for masson pine (Pinus massoniana) in southern China. Journal of Forestry Research 23(4): 593–598. https://doi.org/10.1007/s11676-012-0299-4
Zhang H, Wang K, Xu X, Song T, Xu Y, Zeng F. 2015. Biogeographical patterns of biomass allocation in leaves, stems, and roots in Chinas forests. Scientific Reports 5: 1–12. https://doi.org/10.1038/srep15997
Zhang X, Cao QV, Xiang C, Duan A, Zhang J. 2017. Predicting total and component biomass of Chinese fir using a forecast combination method. IForest 10(4): 687–691. https://doi.org/10.3832/ifor2243-010
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