Mapping of mangrove forest and carbon stock estimation of east coast Surabaya, Indonesia
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Abstract. Hidayah Z, Rachman HA, As-Syakur AR. 2022. Mapping of mangrove forest and carbon stock estimation of east coast Surabaya, Indonesia. Biodiversitas 23: 4826-4837. The mangrove forests on Surabaya's east coast are an important protected area, providing habitat for a variety of marine organisms and water birds. This area is also vital for carbon storage and sequestration. The purpose of this research is to determine the changes in mangrove areas over the last 20 years and to calculate the amount of carbon stored in these mangrove forests. Changes in the area of mangrove forests and Normalized Difference Vegetation Indices (NDVI) were determined using Landsat-7 in 2000 and Landsat-8 in 2020. The vegetative carbon stock of mangrove stands was calculated using allometric measurements. The study results reveal that the mangrove forest area has increased significantly from 257.13 ha in 2000 to 753.48 ha in 2020. The results of regression models also show that NDVI has a significant influence on aboveground biomass (AGB), as indicated by the coefficient of determination (R2) = 0.7 (F test, df = 28, p-value < 0.05). The estimated aboveground and belowground carbon stock is 46.35 ± 13.65 ton C ha-1 and 13.65 ± 6.74 ton C ha-1 respectively. Accordingly, it is observed that the mangrove forest of East Coast Surabaya can sequester at least a total of 192.72 tons CO2 ha-1 in above and belowground biomass.
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References
Alimbon, J. A., & Manseguiao, M. R. S. (2021). Species composition, stand characteristics, aboveground biomass, and carbon stock of mangroves in panabo mangrove park, philippines. Biodiversitas, 22(6), 3130–3137. https://doi.org/10.13057/biodiv/d220615
Alongi, D. M. (2014). Carbon cycling and storage in mangrove forests. Annual Review of Marine Science, 6, 195–219. https://doi.org/10.1146/annurev-marine-010213-135020
Analuddin, K., Kadidae, L. O., Yasir Haya, L. O. M., Septiana, A., Sahidin, I., Syahrir, L., Rahim, S., Fajar, L. O. A., & Nadaoka, K. (2020). Aboveground biomass, productivity and carbon sequestration in rhizophora stylosa mangrove forest of southeast sulawesi, indonesia. Biodiversitas, 21(4), 1316–1325. https://doi.org/10.13057/biodiv/d210407
Anand, A., Pandey, P. C., Petropoulos, G. P., Pavlides, A., Srivastava, P. K., Sharma, J. K., & Malhi, R. K. M. (2020). Use of hyperion for mangrove forest carbon stock assessment in bhitarkanika forest reserve: A contribution towards blue carbon initiative. Remote Sensing, 12(4). https://doi.org/10.3390/rs12040597
Asadi, M. A., Guntur, G., Ricky, A. B., Novianti, P., & Andik, I. (2017). Mangrove ecosystem C-stocks of Lamongan, Indonesia and its correlation with forest age. Research Journal of Chemistry and Environment, 21(8), 1–9.
Aulia, R., Prasetyo, Y., & Haniah, H. (2015). Analisis Korelasi Perubahan Garis Pantai Terhadap Luasan Mangrove Di Wilayah Pesisir Pantai Semarang. Jurnal Geodesi Undip, 4(2), 157–163.
Balidoy Baloloy, A., Conferido Blanco, A., Gumbao Candido, C., Jay Labadisos Argamosa, R., Bart Lovern Caboboy Dumalag, J., Lee Carandang DImapilis, Lady, & Camero Paringit, E. (2018). Estimation Of Mangrove Forest Aboveground Biomass Using Multispectral Bands, Vegetation Indices And Biophysical Variables Derived From Optical Satellite Imageries: Rapideye, Planetscope And Sentinel-2. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(3), 29–36. https://doi.org/10.5194/isprs-annals-IV-3-29-2018
Baniya, B., Tang, Q., Huang, Z., Sun, S., & Techato, K. (2018). Spatial and temporal variation of NDVI in response to climate change and the implication for carbon dynamics in Nepal. Forests, 9(6), 1–18. https://doi.org/10.3390/f9060329
Bao, T. Q., Ha, N. T., Nguyet, B. T. M., Hoan, V. M., Viet, L. H., & Hung, D. V. (2022). Aboveground biomass and carbon stock of Rhizophora apiculata forest in Ca Mau, Vietnam. Biodiversitas, 23(1), 403–414. https://doi.org/10.13057/biodiv/d230142
Cameron, C., Hutley, L. B., Friess, D. A., & Brown, B. (2019). Community structure dynamics and carbon stock change of rehabilitated mangrove forests in Sulawesi, Indonesia. Ecological Applications, 29(1). https://doi.org/10.1002/eap.1810
Chen, S., Chen, B., Sastrosuwondo, P., Dharmawan, I. W. E., Ou, D., Yin, X., Yu, W., & Chen, G. (2018). Ecosystem carbon stock of a tropical mangrove forest in North Sulawesi, Indonesia. Acta Oceanologica Sinica, 37(12), 85–91. https://doi.org/10.1007/s13131-018-1290-5
Desmawati, I., Trisnawati, I. D. T., & Nasrulloh, M. (2018). Distribution study of migratory bird in Surabaya east coast as introduction to predict species adaptation through global warming impact. AIP Conference Proceedings, 2002. https://doi.org/10.1063/1.5050131
Donato, D. C., Kauffman, J. B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4(5), 293–297. https://doi.org/10.1038/ngeo1123
Estrada, G. C. D., & Soares, M. L. G. (2017). Global patterns of aboveground carbon stock and sequestration in mangroves. Anais Da Academia Brasileira de Ciencias, 89(2), 973–989. https://doi.org/10.1590/0001-3765201720160357
Giri, C., Ochieng, E., Tieszen, L. L., Zhu, Z., Singh, A., Loveland, T., Masek, J., & Duke, N. (2011). Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20(1), 154–159. https://doi.org/10.1111/j.1466-8238.2010.00584.x
Giri, Chandra. (2016). Observation and monitoring of mangrove forests using remote sensing: Opportunities and challenges. Remote Sensing, 8(9). https://doi.org/10.3390/rs8090783
Hamilton, S. E., & Casey, D. (2016). Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21). Global Ecology and Biogeography, 25(6), 729–738. https://doi.org/10.1111/geb.12449
Harefa, M. S., Nasution, Z., Mulya, M. B., & Maksum, A. (2022). Mangrove species diversity and carbon stock in silvofishery ponds in Deli Serdang District, North Sumatra, Indonesia. Biodiversitas, 23(2), 655–662. https://doi.org/10.13057/biodiv/d230206
Hidayah, Z., Rosyid, D. M., & Armono, H. D. (2015). GIS application in monitoring distribution of mangrove ecosystem of Southern Madura. Ecology, Environment and Conservation, 21(1), 487–493.
Hutchison, A. J., Spalding, M., & Ermgassen, P. (2014). The role of mangroves in fisheries enhancement. The Nature Conservancy and Wetlands International, 240(March 2015), 54. http://preventionweb.net/go/40622
Indrayani, E., Kalor, J. D., Warpur, M., & Hamuna, B. (2021). Using Allometric Equations to Estimate Mangrove Biomass and Carbon Stock in Demta Bay, Papua Province, Indonesia. Journal of Ecological Engineering, 22(5), 263–271. https://doi.org/10.12911/22998993/135945
Isroni, W., Islamy, R. A., Musa, M., & Wijanarko, P. (2019). Short communication: Species composition and density of mangrove forest in Kedawang village, Pasuruan, east Java, Indonesia. Biodiversitas, 20(6), 1688–1692. https://doi.org/10.13057/biodiv/d200626
Jones, T. G., Ratsimba, H. R., Ravaoarinorotsihoarana, L., Cripps, G., & Bey, A. (2014). Ecological segregation of the late jurassic stegosaurian and iguanodontian dinosaurs of the morrison formation in north america: Pronounced or subtle? Forests, 5(1), 177–205. https://doi.org/10.3390/f5010177
Kanniah, K. D., Sheikhi, A., Cracknell, A. P., Goh, H. C., Tan, K. P., Ho, C. S., & Rasli, F. N. (2015). Satellite images for monitoring mangrove cover changes in a fast growing economic region in southern Peninsular Malaysia. Remote Sensing, 7(11), 14360–14385. https://doi.org/10.3390/rs71114360
Komiyama, A., Ong, J. E., & Poungparn, S. (2008). Allometry, biomass, and productivity of mangrove forests: A review. Aquatic Botany, 89(2), 128–137. https://doi.org/10.1016/j.aquabot.2007.12.006
Komiyama, A., Poungparn, S., & Kato, S. (2005). Common allometric equations for estimating the tree weight of mangroves. Journal of Tropical Ecology, 21(4), 471–477. https://doi.org/10.1017/S0266467405002476
Long, C., Dai, Z., Zhou, X., Mei, X., & Mai Van, C. (2021). Mapping mangrove forests in the Red River Delta, Vietnam. Forest Ecology and Management, 483(December 2020). https://doi.org/10.1016/j.foreco.2020.118910
Lovelock, C. E., Cahoon, D. R., Friess, D. A., Guntenspergen, G. R., Krauss, K. W., & Xuan, L. (2015). The vulnerability of Indo-Pacific mangrove forests to sea-level rise. Nature, 526(1), 559–563. https://digitalcommons.unl.edu/usgsstaffpub
Malik, A., Mertz, O., & Fensholt, R. (2017). Mangrove forest decline: consequences for livelihoods and environment in South Sulawesi. Regional Environmental Change, 17(1), 157–169. https://doi.org/10.1007/s10113-016-0989-0
Marley, G., Lawrence, A. J., Phillip, D. A. T., & Hayden, B. (2019). Mangrove and mudflat food webs are segregated across four trophic levels, yet connected by highly mobile top predators. Marine Ecology Progress Series, 632, 13–25. https://doi.org/10.3354/meps13131
Mawardha, F. S., Amir, J., Sugiyo, P. W. W., Fadilah, R. L. A., Rachmawati, Y., Wanti, Y. T. N., & Hariyanto, S. (2021). Aves biodiversity in wonorejo fish pond (Surabaya, Indonesia): The conservation status of endemic and migration aves. Ecology, Environment and Conservation, 27(2), 741–744.
Mitra, A. (2018). Salinity: A primary growth driver of mangrove forest. Sustainable Forestry, 1(2), 1–9. https://doi.org/10.24294/sf.v1i2.191
Muhd-Ekhzarizal, M. E., Mohd-Hasmadi, I., Hamdan, O., Mohamad-Roslan, M. K., & Noor-Shaila, S. (2018). Estimation of aboveground biomass in mangrove forests using vegetation indices from SPOT-5 image. Journal of Tropical Forest Science, 30(2), 224–233. https://doi.org/10.26525/jtfs2018.30.2.224233
Muhsoni, F. F., Sambah, A. B., Mahmudi, M., & Wiadnya, D. G. R. (2018). Comparison of different vegetation indices for assessing mangrove density using sentinel-2 imagery. International Journal of GEOMATE, 14(45), 42–51. https://doi.org/10.21660/2018.45.7177
Mulyaningsih, D., Hendarto, B., & Muskananfola, M. R. (2017). Perubahan Luas Hutan Mangrove di Wilayah Pantai Indah Kapuk Jakarta Utara Tahun 2010-2015. Journal of Maquares, 6(4), 111.
Murdiyarso, D., Purbopuspito, J., Kauffman, J. B., Warren, M. W., Sasmito, S. D., Donato, D. C., Manuri, S., Krisnawati, H., Taberima, S., & Kurnianto, S. (2015). The potential of Indonesian mangrove forests for global climate change mitigation. Nature Climate Change, 5(12), 1089–1092. https://doi.org/10.1038/nclimate2734
Noor, Y. R., Khazali, M., & Suryadiputra, I. (2007). Guidebook for the introduction of mangroves in Indonesia (Second, Issue May). Wetlands International Indonesia Programme.
Omar, H., Chuah, N. M. J., Parlan, I., & Musa, S. (2016). Assessing rate of deforestation and changes of carbon stock on mangroves in Pahang, Malaysia. Malaysian Forester, 79(1–2), 174–179.
Osland, M. J., Feher, L., Lopez-Portillo, J., Day, R. H., Suman, D. O., Menendez, J. M. G., & Rivera-Monroy, V. H. (2018). Mangrove forests in a rapidly changing world: global change impacts and conservation opportunities along the Gulf of Mexico coast. Estuarine, Coastal and Shelf Science, 214(1), 120–140.
Pandapotan Situmorang, J., Sugianto, S., & . D. (2016). Estimation of Carbon Stock Stands using EVI and NDVI Vegetation Index in Production Forest of Lembah Seulawah Sub-District, Aceh Indonesia. Aceh International Journal of Science and Technology, 5(3), 126–139. https://doi.org/10.13170/aijst.5.3.5836
Pettorelli, N., Vik, J. O., Mysterud, A., Gaillard, J. M., Tucker, C. J., & Stenseth, N. C. (2005). Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology and Evolution, 20(9), 503–510. https://doi.org/10.1016/j.tree.2005.05.011
Phan, L. K., Van Thiel De Vries, J. S. M., & Stive, M. J. F. (2015). Coastal mangrove squeeze in the Mekong Delta. Journal of Coastal Research, 31(2), 233–243. https://doi.org/10.2112/JCOASTRES-D-14-00049.1
Poedjirahajoe, E., Sulityorini, I. S., & Komara, L. L. (2019). Short communication: Species diversity of mangrove in kutai national park, East Kalimantan, Indonesia. Biodiversitas, 20(12), 3641–3646. https://doi.org/10.13057/biodiv/d201224
Pricillia, C. C., Patria, M. P., & Herdiansyah, H. (2021). Environmental conditions to support blue carbon storage in mangrove forest: A case study in the mangrove forest, nusa lembongan, bali, indonesia. Biodiversitas, 22(6), 3304–3314. https://doi.org/10.13057/biodiv/d220636
Putz, F. E., & Chan, H. (1986). Tree Growth, Dynamic and Productivity in a Mature mangrove Forest in Malaysia. Forest Ecology and Management, 17(1), 211–230.
Rahman, M. M., Khan, N. I. M., Hoque, F., & Ahmed, I. (2015). Carbon stock in the Sundarbans mangrove forest: spatial variations in vegetation types and salinity zones. Wetlands Ecology and Management, 23(2), 269–283. https://doi.org/10.1007/s11273-014-9379-x
Rizal, A., & Anna, Z. (2020). The Effect on Mangrove Density with Sediment Transport Rate in Sikakap Coastal Area of Mentawai Island District, West Sumatera Province, Indonesia. World Scientific News, 146(June), 202–214. http://psjd.icm.edu.pl/psjd/element/bwmeta1.element.psjd-f6c96356-2aea-4335-866e-031c1c0a4ced
Rudianto, R., Bengen, D. G., & Kurniawan, F. (2020). Causes and effects of mangrove ecosystem damage on carbon stocks and absorption in East Java, Indonesia. Sustainability, 12(24), 1–17. https://doi.org/10.3390/su122410319
Rumondang, A. L., Kusmana, C., & Budi, S. W. (2021). Species composition and structure of angke kapuk mangrove protected forest, Jakarta, Indonesia. Biodiversitas, 22(9), 3863–3871. https://doi.org/10.13057/biodiv/d220932
Saenger, P, Ragavan, P., Sheue, C.-R., López-Portillo, J., Yong, J. W. H., & Mageswaran, T. (2019). Mangrove Biogeography of the Indo-Pacific. In Sabkha Ecosystem Tasks for Vegetation Science. Springer Netherlands. https://doi.org/10.1007/978-3-030-04417-6_23
Saenger, Peter, & West, P. W. (2018). Phenotypic variation of the mangrove species Avicennia marina (Forssk.) Vierh. from seven provenances around Australia. Aquatic Botany, 149(October), 28–32. https://doi.org/10.1016/j.aquabot.2018.05.004
Samsudin, M. S., Azid, A., Khalit, S. I., Sani, M. S. A., & Lananan, F. (2019). Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones. Marine Pollution Bulletin, 141, 472–481. https://doi.org/10.1016/j.marpolbul.2019.02.045
Sari, N., Patria, M. P., Soesilo, T. E. B., & Tejakusuma, I. G. (2019). The structure of mangrove communities in response to water quality in Jakarta Bay, Indonesia. Biodiversitas, 20(7), 1873–1879. https://doi.org/10.13057/biodiv/d200712
Setyadi, G., Pribadi, R., Wijayanti, D. P., & Sugianto, D. N. (2021). Mangrove diversity and community structure of mimika District, Papua, Indonesia. Biodiversitas, 22(8), 3562–3570. https://doi.org/10.13057/BIODIV/D220857
Srikanth, S., Lum, S. K. Y., & Chen, Z. (2016). Mangrove root: adaptations and ecological importance. Trees - Structure and Function, 30(2), 451–465. https://doi.org/10.1007/s00468-015-1233-0
Suhaili, N. S., Fei, J. L. J., Sha’ari, F. W., Idris, M. I., Hatta, S. M., Kodoh, J., & Besar, N. A. (2020). Carbon stock estimation of mangrove forest in sulaman lake forest reserve, Sabah, Malaysia. Biodiversitas, 21(12), 5657–5664. https://doi.org/10.13057/biodiv/d211223
Suniada, K. I., & Aden, L. Y. (2019). Pengaruh Perubahan Luas Hutan Mangrove Terhadap Konsentrasi Total Suspended Matter (Tsm) Di Muara Perancak, Jembrana – Bali. Jurnal Kelautan Nasional, 14(1), 11–24. https://doi.org/10.15578/jkn.v14i1.6864
Sutaryo, D. (2009). Penghitungan Biomassa. In TOPIK TERPILIH dalam SISTEM KEKUATAN dan PENGinderaan JAUH. http://jurnal.lapan.go.id/index.php/berita_dirgantara/article/view/1652%0Ainternal-pdf://100.60.239.168/217-415-1-SM.pdf
Takayama, K., Tateishi, Y., & Kajita, T. (2021). Global phylogeography of a pantropical mangrove genus Rhizophora. Scientific Reports, 11(1), 1–13. https://doi.org/10.1038/s41598-021-85844-9
Widyastuti, A., Yani, E., Nasution, E. K., & Rochmatino. (2018). Diversity of mangrove vegetation and carbon sink estimation of segara anakan mangrove forest, Cilacap, central Java, Indonesia. Biodiversitas, 19(1), 246–252. https://doi.org/10.13057/biodiv/d190133
Woodroffe, C. D., Rogers, K., McKee, K. L., Lovelock, C. E., Mendelssohn, I. A., & Saintilan, N. (2016). Mangrove Sedimentation and Response to Relative Sea-Level Rise. Annual Review of Marine Science, 8(January), 243–266. https://doi.org/10.1146/annurev-marine-122414-034025
Zhang, Y., Ding, Y., Wang, W., Li, Y., & Wang, M. (2019). Distribution of fish among Avicennia and Sonneratia microhabitats in a tropical mangrove ecosystem in South China. Ecosphere, 10(6). https://doi.org/10.1002/ecs2.2759
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