Developing energy production from Eucalyptus urophylla plantation in dryland ecosystem at East Nusa Tenggara, Indonesia
DOI:
https://doi.org/10.15243/jdmlm.2023.104.4673Keywords:
biomass content, pléiades satellite imagery, spatial resolution, tree density, vegetation IndexAbstract
Forest rehabilitation of Timor Island's dryland ecosystems using eucalyptus plants plays an important role in improving land cover but also in mitigating climate change and providing an alternative renewable energy source. The aim of this study is to explore the enormous energy storage potential of eucalyptus plants for commercial purposes using a high spatial resolution remote sensing approach. The Pléiades satellite imagery acquired on 10/09/2021 covering ca. 27 ha study area managed by Timor Tengah Selatan Forest Management Unit was used to identify the density of eucalyptus plants using Normalized Difference Vegetation Index (NDVI) values greater than 0.699. The density of eucalyptus plants is classified into low, moderate, and high tree density with NDVI values greater than 0.699 to 0.765, greater than 0.765 to 0.833, and greater than 0.833 to 0.901, respectively. The total potential energy production of the study area was estimated using a combination of assumed eucalyptus tree density, the calculated area of each density, and the average energy storage of individual trees. The results showed that the density of eucalyptus trees was classified as low, moderate, and high, with coverage areas of 6.8 ha, 12.9 ha, and 3.0 ha, respectively. The potential energy production of low, moderate, and high density approaches 1,103,432.33 MJ; 5,522,999.19 MJ; and 2,120,715.04 MJ, respectively, with a total estimated energy storage of 8,747,146.57 MJ. This obtained number of potential energy estimations indicates that forest rehabilitation of dryland ecosystems through eucalyptus plantations has a promising future as an alternative renewable energy source.References
Abdullah, A.Y.M., Masrur, A., Adnan, M.S.G., Baky, M.A.Al., Hassan, Q.K. and Dewan, A. 2019. Spatio-temporal patterns of land use/land cover change in the heterogeneous coastal region of Bangladesh between 1990 and 2017. Remote Sensing 11:790, doi:10.3390/rs11070790.
Aghimien, E.V. 2019. Above-ground carbon stock estimation using Pleiades satellite imagery of the secondary forest ecosystem in Ibadan, Nigeria. Forest Research and Engineering: International Journal 3(2):46-54, doi:10.15406/freij.2019.03.00077.
Akhtar, A.M., Qazi, W.A., Ahmad, S.R, Gilani, H., Mahmood, S.A. and Rasool, A. 2020. Integration of high-resolution optical and SAR satellite remote sensing datasets for above-ground biomass estimation in subtropical pine forest, Pakistan. Environmental Monitoring and Assessment 192:584, doi:10.1007/s10661-020-08546-1.
Alcaras, E., Falchi, U., Parente, C. and Vallario, A. 2022. Accuracy evaluation for coastline extraction from Pléiades imagery based on NDWI and IHS pan sharpening application. Applied Geomatics 1-11, doi:10.1007/s12518-021-00411-1.
Antar, M., Lyu, D., Nazari, M., Shah, A., Zhou, X. and Smith, D.L. 2021. Biomass for a sustainable bioeconomy: An overview of world biomass production and utilization. Renewable and Sustainable Energy Reviews 139:110691, doi:10.1016/j.rser.2020.110691.
Arini, D., Guvil, Q. and Wahidah, N. 2020. Land cover identification using Pleiades satellite
imagery by comparison of NDVI and BI method in Jatinangor, West Java. IOP Conference Series: Earth and Environmental Science 500, 012007, doi:10.1088/1755-1315/500/1/012007.
Aryal, J., Sitaula, C. and Aryal, S. 2022. NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia. Land 11:351, doi:10.3390/land11030351.
Birdsey, R., Duffy, P., Smyth, C., Kurz, W.A., Dugan, A.J. and Houghton, R. 2018. Climate, economic, and environmental impacts of producing wood for bioenergy. Environmental Research Letters 13(5):1-9, doi:10.1088/1748-9326/aab9d5.
Borchard, N., Artati, Y., Lee, S.M. and Baral, H. 2017. Sustainable forest management for land rehabilitation and provision of biomass-energy. Brief No. 41, February 2017, doi:10.17528/cifor/006384.
Brandão, P.C., Souza, A.L.de., Rousset, P., Simas, F.N.B. and Mendoça, B.A.F.de. 2021. Forest biomass as a viable pathway for sustainable energy supply in isolated villages of Amazonia. Environmental Development 37:100609, doi:10.1016/j.envdev.2020.100609.
Cavalett, O., Slettmo, S.N. and Cherubini, F. 2018. Energy and environmental aspects of using eucalyptus from Brazil for energy and transportation services in Europe. Sustainability 10(11):1-18, doi:10.3390/su10114068.
Cuong, T., Chinh, T.T.Q., Zhang, Y. and Xie, Y. 2020. Economic performance of forest plantations in Vietnam: Eucalyptus, Acacia mangium, and Manglietia conifera. Forests 11(3):1-14, doi:10.3390/f11030284.
Dani, S. and Wibawa, A. 2018. Challenges and Policy for Biomass Energy in Indonesia. International Journal of Business, Economics and Law 15(5):41- 47.
Deboni, T.L., Simioni, F.J., Brand, M.A. and Costa, V.J. 2019. Models for estimating the price of forest biomass used as an energy source: A Brazilian case. Energy Policy 127:382-391, doi:10.1016/j.enpol.2018.12.021.
Destek, M.A., Sarkodie, S.A. and Asamoah, E.F. 2021. Does biomass energy drive environmental sustainability? An SDG perspective for top five biomass consuming countries. Biomass and Bioenergy 149:106076, doi:10.1016/j.biombioe.2021.106076.
Fan, Y.V., Romanenko. S., Gai, L., Kupressova, E., Varbanov, P.S. and Klemes, J.J. 2021. Biomass integration for energy recovery and efficient use of resources: Tomsk Region. Energy 235:121378, doi:10.1016/j.energy.2021.121378.
Ferreira, M.C., Santos, R.C., Castro, R.V.O., Carneiro, A.C.O., Silva, G.G.C., Castro, A.F.N.M., Costa, S.E.L. and Pimenta, A.S. 2017. Biomass and energy production at short rotation eucalyptus clonal plantations deployed in Rio Grande do Norte. Revista Ãrvore 41:1-7, doi:10.1590/1806-90882017000500004.
Haryana, A. 2018. Biomass Utilization as Renewable Energy for Optimization of Natural Energy Mix. Bappenas Working Papers 56 ̶-65.
Hashim, H., Abd Latif, Z. and Adnan, N.A. 2019. Urban vegetation classification with NDVI threshold value method with very high resolution (VHR) Pleiades imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42(4/W16), 237-240, doi:10.5194/isprs-archives-XLII-4-W16-237-2019.
Kumar, A., Bhattacharya, T., Mozammil Hasnain, S.M.M., Kumar Nayak, A.K and Hasnain, M.S. 2020. Applications of biomass-derived materials for energy production, conversion, and storage. Materials Science for Energy Technologies 3:905-920, doi:10.1016/j.mset.2020.10.012.
Page-Dumroese, D.S., Franco, C.R., Archuleta, J.G., Taylor, M.E., Kidwell, K., High, J.C. and Adam, K. 2022. Forest Biomass Policies and Regulations in the United States of America. Forests 2022 13:1415, doi:10.3390/f13091415.
Popp, J., Kovács, S., Oláh, J., Divéki, Z. and Balázs, E. 2021. Bioeconomy: Biomass and biomass-based energy supply and demand. New BIOTECHNOLOGY 60:76-84, doi:10.1016/j.nbt.2020.10.004.
Sadono, R., Wardhana, W., Idris, F. and Wirabuana, P.Y.A.P. 2021. Carbon storage and energy production of Eucalyptus urophylla developed in dryland ecosystems at East Nusa Tenggara. Journal of Degraded and Mining Lands Management 9(1):3107-3114, doi:10.15243/jdmlm.2021.091.3107.
Sadono, R., Wardhana, W., Idris, F. and Wirabuana, P.Y.A.P. 2022. Allometric Equation for Estimating Energy Production of Eucalyptus urophylla in Dryland Ecosystems at East Nusa Tenggara. Jurnal Manajemen Hutan Tropika 28(1):32-32, doi:10.7226/jtfm.28.1.32.
Sadono, R., Wardhana, W., Wirabuana, P.Y.A.P. and Idris, F. 2020. Productivity evaluation of Eucalyptus urophylla plantation established in dryland ecosystems, East Nusa Tenggara. Journal of Degraded and Mining Lands Management 8(1):2502-2458, doi:10.15243/jdmlm. 2020.081.2461.
Sette Jr., C.R., Moraes, M.D.A.de., Coneglian, A., Ribeiro, R.M., Hansted, A.L.S. and Yamaji, F.M. 2020. Forest harvest byproducts: use of waste as energy. Waste Management 114:196-201, doi:10.1016/j.wasman.2020.07.001.
Simetti, R., Bonduelle, G.M., Silva, D.A.da., Mayer, S.L.S., Souza, H.P. and Muniz, G.I.B.de. 2018. Production of biomass and energy stock for five eucalyptus species. Ciência da Madeira 9(1):30-36, doi:10.12953/2177-6830/rcm.v9n1p30-36.
Stavi, I. 2019. Seeking environmental sustainability in dryland forestry. Forests 10:1-6, doi:10.3390/f10090737.
Tun, M.M., Juchelkova, D., Win, M.M., Thu, A.M. and Puchor, T. 2019. Biomass Energy: An Overview of Biomass Sources, Energy Potential, and Management in Southeast Asian Countries. Resources 8, https://doi.org/10.3390/resources8020081.
Wongchai, W., Insuan, W. and Promwungkwa, A. 2019. Above-ground biomass estimation of Eucalyptus plantation using remotely sensed data and field measurements. IOP Conference Series: Earth and Environmental Science 463(2020):012042, doi:10.1088/1755-1315/463/1/012042.
Yu, F., Li, S., Chen, W., Wu, T. and Peng, C. 2019. Biomass derived materials for electrochemical energy storage and conversion: overview and perspectives. Energy and Environmental Materials 2(1):55-67, doi:10.1002/eem2.12030.
Zhou, X., Wen, Y., Goodale, U.M., Zuo, H., Zhu, H., Li, X., You, Y., Yan, L., Su, Y. and Huang, X. 2017. Optimal rotation length for carbon sequestration in eucalyptus plantations in subtropical China. New Forests 48:609-627, doi:10.1007/s11056-017-9588-2.
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