DOI: https://doi.org/10.14710/jil.21.3.636-646

Vegetation Structure, Biomass, and Carbon Stock of Urban Forest of Bongohulawa National Wirakarya Campground in Gorontalo Regency - Gorontalo Province

1Biology Department, Faculty of Mathematics and Natural Science, Universitas Negeri Gorontalo, Indonesia

2Population and Environment Study Program, Graduate Program, State University of Gorontalo, Jl. Jenderal Sudirman No. 06 Gorontalo City, Gorontalo Province, 961282, Indonesia, Indonesia

3ASN Gorontalo Regency Government, Jl. Manoe Kaloekoe Telaga Biru District. Gorontalo Regency, Indonesia., Indonesia

Received: 4 Jul 2022; Revised: 31 Mar 2023; Accepted: 6 May 2023; Available online: 11 Jul 2023; Published: 11 Jul 2023.
Editor(s): Budi Warsito

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Abstract
An urban forest is one type of Urban Green Open Space (RTHKP) that reflects the character of nature and/or local culture with ecological, historical, and panoramic values that are unique to the level of technology application. The urban forest of the National Wirakarya Campsite is quite attractive, has a lovely view, is close to the road, and is easily accessible by the residents. This study aims to determine the structure of vegetation, biomass, and carbon values stored in the urban forest of the National Wirakarya Campsite, Bongohulawa, Gorontalo Regency, Gorontalo Province. The method used is a survey method with a quantitative descriptive research design. The sampling method used is a purposive sampling model based on land cover in the urban forests. For the measurement of the vegetation structure, the sampling of vegetation in the observation plots is carried out by using the number of sample plots that are placed regularly by calculating the Relative Density (RD), Relative Frequency (RF), and Relative Dominance (RDo), then the data obtained are tabulated to provide IVI. To measure the carbon stocks on the surface (stems), a non-destructive sampling method is used with an Allometric equation based on the plant species. The results showed, there were 13 families, 20 species, and 824 individuals. The vegetation structure in the urban forest of Bongohulawa National Wirakarya Campsite (PWN) has an IVI above 15 percent on average. The sawlog level is dominated by the Gmelina arborea (beechwood) species with an IVI of 98.36 percent, the pole level is dominated by the Swietenia mahagagoni (mahogany) with an IVI of 165.37 percent, the sapling level was dominated by Swietenia mahagoni with an IVI of 160.99 percent and the seedling level was dominated by Lantana camara (tembelekan) with an IVI of 32.25 percent. The content of biomass stored in the standing trees is 1,190.45 tons/ha, with the largest amount of biomass is at the sawlog level of 1,135.43 tons/year or 95.43 percent, the total biomass at the pole level is 45.10 tons/year or 3.79 percent and the amount of long-term biomass is 9.32 tons/year or 0.78 percent. The carbon stock stored (C-Stock) is 559.37 tons/ha and can absorb CO2 (CO2eq) of 2,052.88 tons/ha and provides converted O2 of 1,498.60 tons/ha.
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Keywords: Important Value Index; Biomass; Urban Forest Carbon

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Section: Research Article
Language : EN
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  1. Bratawinata, A. (2001). Tropical Rainforest Ecology and Forest Analysis Methods. Ministry of National Education Directorate General of Higher Education Eastern Indonesia Higher Education Cooperation Agency
  2. Cognat, M., Ganthy, F., Auby, I., Barraquand, F., Rigouin, L., & Sottolichio, A. (2018). Environmental factors controlling biomass development of seagrass meadows of Zostera noltei after a drastic decline (Arcachon Bay, France). Journal of Sea Research, 140. https://doi.org/10.1016/j.seares.2018.07.005
  3. Davies, Z.G; Dallimer, M; Edmondson, J.L and Leake, R. . (2013). Identifying Potential Sources Of Variability Between Vegetation Carbon. Environmental Pollution Journal, 183, 133–142
  4. Environment Services and Forestry of Gorontalo Province (Dinas Lingkungan Hidup dan Kehutanan Provinsi Gorontalo). (2017). Air Quality Indicator (IKU) Calculation Report of Regency/City. Gorontalo Province
  5. Gil-Guarín, I. C., Villabona-González, S. L., Parra-García, E., & Echenique, R. O. (2020). Environmental factors driving phytoplankton biomass and diversity in a tropical reservoir. Revista de La Academia Colombiana de Ciencias Exactas, Fisicas y Naturales, 44(171). https://doi.org/10.18257/raccefyn.1052
  6. Government Regulation (Peraturan Pemerintah) Number 41 of 1999 concerning Air Pollution Control. (n.d.)
  7. Government Regulation of the Republic of Indonesia (Peraturan Pemerintah Republik Indonesia) Number 63 of 2002 concerning Urban Forests. (n.d.)
  8. Guo, W., Zhu, Y., Fu, Z., Qin, N., Wang, H., Liu, S., Hu, Y., Wu, F., & Giesy, J. P. (2017). Influences of environmental factors on biomass of phytoplankton in the northern part of Tai Lake, China, from 2000 to 2012. Environmental Monitoring and Assessment, 189(12). https://doi.org/10.1007/s10661-017-6318-3
  9. Hamdaningsih, S.S., Fandeli, C dan Baiquni, M. (2010). Study of Urban Forest Needs Based on Vegetation Capability in Carbon Sequestration in Mataram City. Indonesian Geography Magazine, 24(1), 1–9
  10. Hardjana KA. (2009). Biomass and Carbon Potential in Acacia Mangium Plantation Forest in PT. Surya Hutani Jaya, East Kalimantan. Journal of Forestry Socio-Economic Research, 7(4), 237–249
  11. Haryanto, D.W., Astiani, D; Manurung, T. (2015). Analysis of Forest Vegetation in the Forest Area of Gunung Sari City, Singkawang City. Journal of Hutan Lestari, 3(2)
  12. Indonesia National Standard (SNI) 7724. (2011). The measurement and calculation of Carbon stock – Field measurement to estimate the forest’s carbon stock (Gorund Based Forest Carbon Accounting). National Standardization Agency (BSN). Jakarta
  13. Ketterings QM.,R.Coe, Mv.Noordwijk, Y. ambaga. and C. P. (2001). Reducing Uncertainty in the Useof Allometric Biomass Equations for Predicting Above-Ground Tree Biomass in Mixed Secondary Forests. Journal Forest Ecology and Management. Journal Forest Ecology and Management, 146, 199–209
  14. Lubis, S.H; Arifin, H.S dan Samsoedin, I. (2013). Analysis of Tree Carbon Stock in Urban Forest Landscapes in DKI Jakarta. E-Journal of Social and Economic Forestry Research, 10(1), 1–20
  15. Manuri, S. C. A. . P. dan A. D. S. (2011). Forest Carbon Stock Estimation Techniques. Merang REDD Pilot Project, German International Cooperation-GIZ. Supported by: Federal Ministry for the Environment, Nature Conservation and Nuclear Safety
  16. Mueller-dombois, D. and H, E. (1974). Aims and methods of vegetation ecology. John wiley and sons, New York
  17. Puslittanak. (2005). A Century: The Gait of the Indonesian Soil Research Institute 1905-2005. Center for Soil and Agroclimate Research and Development. Bogor
  18. Qi, W., Jia, P., Luo, S., Kang, X., & Du, G. (2021). Disentangling the effects of environmental and communities’ factors on species’ biomass inequality in Qinghai-Tibetan grassland systems. Ecological Indicators, 122. https://doi.org/10.1016/j.ecolind.2020.107309
  19. Research and Development Agency of the Ministry of Forestry (Balitbang Kementerian Kehutanan). (2010). Urban Forest/Urban Landscape Development. Jakarta
  20. Ririhena, M. (2010). Study of Composition and Structure in the Application of the Intensive Silvicultural System in the UUPHK/HA PT Sarmiento Parakantja Timber, Central Kalimantan. University of Palangkaraya. Palangkaraya
  21. Rusdiana O dan Lubis, R. . (2012). Estimation of Correlation between Soil Characteristics and Carbon Stock in Secondary Forest. Journal of Silvikultur Tropika, 3(1), 14–21
  22. Steelink, C. (1985). Elemental Characteristic of Humic Substances. In Aiken, G,R., D.M Mcknight. R.L Wersshaw and P. Mac Carthy, (eds). Humic Subtances in Soil, Sediment, and Water. Jhon Wilwy. New York
  23. Sun, J., Cheng, G. W., & Li, W. P. (2013). Meta-analysis of relationships between environmental factors and aboveground biomass in the alpine grassland on the Tibetan Plateau. Biogeosciences, 10(3). https://doi.org/10.5194/bg-10-1707-2013
  24. Suwarna, U., Elias, D., Darusman, I. (2012). Estimation of Total Carbon Stock in Soil and Vegetation of Tropical Peat Forests in Indonesia. Journal of Tropical Forest Management, 18(2)
  25. Tian, W., Zhang, H., Zhang, J., Zhao, L., Miao, M., & Huang, H. (2017). Responses of zooplankton community to environmental factors and phytoplankton biomass in Lake Nansihu, China. Pakistan Journal of Zoology, 49(2). https://doi.org/10.17582/journal.pjz/2017.49.2.493.504
  26. Wahyuni, N. . (2014). Correlation of Significant Value Index to Tree Biomass. Manado Forestry Research Institute
  27. Yang, Y., Dou, Y., & An, S. (2017). Environmental driving factors affecting plant biomass in natural grassland in the Loess Plateau, China. Ecological Indicators, 82. https://doi.org/10.1016/j.ecolind.2017.07.010
  28. Zhang, B., Zhao, P., Li, Y., Liang, R., Wang, H., & Wang, Y. (2019). Effects of environmental factors on the biomass of benthic diatom in rivers. Environmental Engineering and Management Journal, 18(5). https://doi.org/10.30638/eemj.2019.107
  29. Zhang, J., Zhi, M., & Zhang, Y. (2021). Combined Generalized Additive model and Random Forest to evaluate the influence of environmental factors on phytoplankton biomass in a large eutrophic lake. Ecological Indicators, 130. https://doi.org/10.1016/j.ecolind.2021.108082

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