Mangrove cover change between 2003 and 2023 on the east coast of South Sumatera Province, Indonesia
##plugins.themes.bootstrap3.article.sidebar##
Issue
Section
Articles
##plugins.themes.bootstrap3.article.main##
Abstract
Abstract. Koesdaryanto NS, Wijayanti M, Simanjuntak MPD, Fathoni MFM, Wiraatmaja MF, Setyawan AD. 2024. Mangrove cover change between 2003 and 2023 on the east coast of South Sumatera Province, Indonesia. Pros Sem Nas Masy Biodiv Indon 10: 54-60. Mangrove forests are one of the ecosystems that function to protect coastal areas from various disturbances. Mangroves also have social, economic, and cultural functions for coastal communities. Mangroves on South Sumatra, Indonesia's east coast, provide various environmental services for humans and animals. Therefore, efforts are needed to monitor the extent of mangroves to ensure their sustainability. Satellite imagery, such as Landsat, has been commonly used to monitor mangrove extent. This study aims to temporarily determine changes in mangrove land area between 2003 and 2023. Changes in mangrove land area were analyzed based on Landsat 7, 8, and 9 satellite image data. The satellite images were classified by supervised classification using the maximum likelihood method in three land classes mangroves, ponds, and water bodies. The results of mangrove cover analysis on the east coast of South Sumatra found that the area of mangroves in 2003, 2013, and 2023 reached 115,072, 118,674, and 97,332 ha. The mangrove area increased by 3,601.47 ha (+3.13%) in 2003-2013 and decreased by 21,342 ha (-17.98%) in 2013-2023. The community's economic needs cause a decrease in the mangrove areas, which are converted into ponds. Mangrove conservation and rehabilitation must continue to be carried out to maintain its environmental benefits.
##plugins.themes.bootstrap3.article.details##
References
Afriyani A, Fauziyah F et al. 2017. Keanekaragaman vegetasi hutan mangrove di pulau payung sungsang banyuasin sumatera selatan. Jurnal Lahan Suboptimal. Journal of Suboptimal Lands 6(2): 113-119. DOI: 10.33230/JLSO.6.2.2017.305
Ahmed MU, Alam MI, Debnath S et al. 2023. The impact of mangroves in small-holder shrimp ponds in south-west Bangladesh on productivity and economic and environmental resilience. Aquaculture 571: 1-12. DOI: 10.1016/j.aquaculture.2023.739464.
Alcaras E, Parente C, Vallario A. 2021. Automation of pan-sharpening methods for pléiades images using GIS basic functions. Remote Sensing, 13(8), 1550. DOI: 10.3390/rs13081550
Baderan D W K, Hamidun M S, Utina R, Rahim S. 2019. The abundance and diversity of Mollusks in mangrove ecosystem at coastal area of North Sulawesi, Indonesia. Biodiversitas Journal of Biological Diversity 20(4): 987-993. DOI : 10.13057/biodiv/d200408.
Basyuni M & Sulistiyono N. 2018. Deforestation and reforestation analysis from land-use changes in North Sumatran Mangroves, 1990-2015. In IOP Conference Series: Materials Science and Engineering 309(1): 012018. DOI : 10.1088/1757-899X/309/1/012018.
Cárdenas NY, Joyce KE, Maier SW. 2017. Monitoring mangrove forests: Are we taking full advantage of technology. International Journal of Applied Earth Observation and Geoinformation 63: 1-14. DOI : 10.1016/j.jag.2017.07.004.
Chang CW, Mori N. 2021. Green infrastructure for the reduction of coastal disasters: A review of the protective role of coastal forests against tsunami, storm surge, and wind waves. Coastal Engineering Journal 63(3): 370-385. DOI : 10.1080/21664250.2021.1929742.
Come J, Peer N, Nhamussua JL et al. 2023. A socio-ecological survey in Inhambane Bay mangrove ecosystems: Biodiversity, livelihoods, and conservation. Ocean & Coastal Management 244: 106813. DOI : 10.1016/j.ocecoaman.2023.106813.
Conger AJ. 2017. Kappa and rater accuracy: Paradigms and parameters. Educational and psychological measurement 77(6): 1019-1047. DOI: 10.1177/0013164416663277.
De Alban JDT, Jamaludin J, Wong de Wen D, Than MM, Webb EL. 2020. Improved estimates of mangrove cover and change reveal catastrophic deforestation in Myanmar. Environmental Research Letters 15(3): 1-15. DOI : 10.1088/1748-9326/ab666d.
Del Valle A, Eriksson M, Ishizawa, OA et al. 2020. Mangroves protect coastal economic activity from hurricanes. Proceedings of the National Academy of Sciences 117(1): 265-270. DOI : 10.1073/pnas.1911617116.
Dissanayaka KD, Tanaka N, Hasan MK. 2022. Effect of Orientation and Vegetation Over the Embankment Crest for Energy Reduction at Downstream. Geosciences 12(10): 1-23. DOI: 10.3390/geosciences12100354.
Febrianto, S., Syafina, H.A., Latifah, N. Muskananfola, M.R. 2022. Dinamika Perubahan Luasan dan Kerapatan Ekosistem Mangrove Di Kawasan Taman Nasional Sembilang Menggunakan Citra Satelit Landsat 8. Jurnal Kelautan Tropis, 25(3):.369-377. DOI: https://doi.org/10.14710/jkt.v25i3.14909
Firdaus K, Matin AMA, Nurisman N et al. 2022. Numerical study for Sunda Strait Tsunami wave propagation and its mitigation by mangroves in Lampung, Indonesia. Results in Engineering 16:100605. DOI : 10.1016/j.rineng.2022.100605.
Franch-Pardo I, Napoletano BM, Rosete-Verges F et al. 2020. Spatial analysis and GIS in the study of COVID-19. A review. Science of the total environment 739: 140033. DOI : 10.1016/j.scitotenv.2020.140033.
Friess DA, Rogers K, Lovelock CE et al. 2019. The State of the World's Mangrove Forests: Past, Present, and Future. Annual Review of Environment and Resources 44 (1): 89-115. DOI: 10.1146/annurev-environ-101718-033302.
Gilani H, Naz HI, Arshad M, Nazim K, Akram U, Abrar A, Asif M. 2021. Evaluating mangrove conservation and sustainability through spatiotemporal (1990–2020) mangrove cover change analysis in Pakistan. Estuarine, Coastal and Shelf Science, 249: 1-16. DOI: 10.1016/j.ecss.2020.107128
Giri C. 2016. Observation and monitoring of mangrove forests using remote sensing: Opportunities and challenges. Remote Sensing 8(9): 783. DOI : 10.3390/rs8090783.
Giri C. 2021. Recent advancement in mangrove forests mapping and monitoring of the world using earth observation satellite data. Remote Sensing 13(4): 563. DOI : 10.3390/rs13040563.
Hanggara BB, Murdiyarso D, Ginting YR et al. 2021. Effects of diverse mangrove management practices on forest structure, carbon dynamics and sedimentation in North Sumatra, Indonesia. Estuarine, Coastal and Shelf Science 259: 107467. DOI : 10.1016/j.ecss.2021.107467.
Ilman M, Dargusch P, Dart P. 2016. A historical analysis of the drivers of loss and degradation of Indonesia's mangroves. Land use policy 54: 448-459. DOI : 10.1016/j.landusepol.2016.03.010.
Indica M, Ulqodry TZ, Hendri M. 2011. Perubahan luasan mangrove dengan menggunakan teknik penginderaan jauh di Taman Nasional Sembilang Kabupaten Banyuasin Provinsi Sumatera Selatan. Maspari Journal: Marine Science Research 2(1): 77-81.
Kawaroe M, Nugraha AH, Juraij J, Tasabaramo IA. 2016. Seagrass biodiversity at three marine ecoregions of Indonesia: Sunda Shelf, Sulawesi Sea, and Banda Sea. Biodiversitas Journal of Biological Diversity 17(2): 585-591. DOI: 10.13057/biodiv/d170228.
Kirui KB, Kairo JG, Bosire J, Viergever KM, Rudra S, Huxham M, Briers RA. 2013. Mapping of mangrove forest land cover change along the Kenya coastline using Landsat imagery. Ocean & Coastal Management 83: 19-24. DOI: 10.1016/j.ocecoaman.2011.12.00.
Langford A, Zhang J, Waldron S, Julianto B, Siradjuddin I, Neish I, Nuryartono N. 2022. Price analysis of the Indonesian carrageenan seaweed industry. Aquaculture 550. 737828. DOI: 10.1016/j.aquaculture.2021.737828.
Liang J, Gong J, Li W. 2018. Applications and impacts of Google Earth: A decadal review (2006–2016). ISPRS Journal of Photogrammetry and Remote Sensing, 146, 91-107. DOI: 10.1016/j.isprsjprs.2018.08.019
Lin C, Wu C C, Tsogt K, Ouyang Y C, & Chang C I. 2015. Effects of atmospheric correction and pansharpening on LULC classification accuracy using WorldView-2 imagery. Information Processing in Agriculture 2(1): 25-36. DOI: 10.1016/j.inpa.2015.01.003.
Lü G, Batty M, Strobl J, Lin H, Zhu AX, Chen M. 2019. Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective. International journal of geographical information science, 33(2), 346-367. DOI: https://doi.org/10.1080/13658816.2018.1533136
Mungai F, Kairo J, Mironga J, Kirui B, Mangora M, Koedam N. 2019. Mangrove cover and cover change analysis in the transboundary area of Kenya and Tanzania during 1986–2016. Journal of the Indian Ocean Region 15(2): 157-176. DOI: 10.1080/19480881.2019.1613868.
Paramasivam CR, Venkatramanan S. 2019. An introduction to various spatial analysis techniques. GIS and geostatistical techniques for groundwater science 23-30. DOI : 10.1016/B978-0-12-815413-7.00003-1.
Rwanga SS, Ndambuki JM. 2017. Accuracy assessment of land use/land cover classification using remote sensing and GIS. International Journal of Geosciences, 8(04), 611. DOI: 10.4236/ijg.2017.84033
Risjani Y, Witkowski A, Kryk A, Górecka E, Krzywda M, Safitri I, Sapar A, D?bek P, Arsad S, Gusev E, Rudiyansyah, Peszek L, Wrobel RJ. 2021. Indonesian coral reef habitats reveal exceptionally high species richness and biodiversity of diatom assemblages. Estuarine, Coastal and Shelf Science 261, 107551. DOI : 10.1016/j.ecss.2021.107551
Romañach, S.S., DeAngelis, D.L., Koh, H.L., Li, Y., Teh, S.Y., Barizan, R.S.R. and Zhai, L., 2018. Conservation and restoration of mangroves: Global status, perspectives, and prognosis. Ocean & Coastal Management, 154, pp.72-82.
Saqui D, Saito J H, Jorge L A D C, Ferreira E J, Lima D C & Herrera J P. 2016. Methodology for Band Selection of Hyperspectral Images Using Genetic Algorithms and Gaussian Maximum Likelihood Classifier. 2016 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA. 733-738. DOI: 10.1109/CSCI.2016.0143.
Sasmito SD, Taillardat P, Clendenning JN, Cameron C, Friess DA, Murdiyarso D, Hutley LB. 2019. Effect of land?use and land?cover change on mangrove blue carbon: A systematic review. Global Change Biology 25(12): 4291-4302. DOI: 10.1111/gcb.14774.
Sattayapanich T, Janmaimool P, Chontanawat J. 2022. Factors Affecting Community Participation in Environmental Corporate Social Responsibility Projects: Evidence from Mangrove Forest Management Project. Journal of Open Innovation: Technology, Market, and Complexity 8(4): 1-28. DOI: 10.3390/joitmc8040209
Schmitt K, Duke NC. 2015. Mangrove management, assessment and monitoring. Tropical forestry handbook 1-29. DOI : 10.1007/978-3-642-41554-8_126-1
Sembiring JP. 2016. Analisis perubahan luasan dan kerapatan mangrove di daerah pesisir delta upang kabupaten banyuasin provinsi sumatera selatan dengan menggunakan citra landsat . Palembang: Universitas Sriwijaya.
Septinar H, Putri Y P, Midia K R, Bianto B. 2023. Upaya Pelestarian Hutan Mangrove Melalui Pembibitan Di Desa Sungsang IV Kabupaten Banyuasin. Environmental Science Journal (ESJo): Jurnal Ilmu Lingkungan 1(2): 77-88. DOI : 10.31851/esjo.v1i2.11920.
Sidik, F., Supriyanto, B., Krisnawati, H. and Muttaqin, M.Z., 2018. Mangrove conservation for climate change mitigation in Indonesia. Wiley Interdisciplinary Reviews: Climate Change, 9(5), p.e529.
Sobhani P, Danehkar A. 2023. Spatial-Temporal Changes in Mangrove Forests for Analyzing Habitat Integrity: a Case of Hara Biosphere Reserve, Iran. Environmental and Sustainability Indicators 20: 1-9. DOI:10.1016/j.indic.2023.100293.
Sunkur R, Kantamaneni K, Bokhoree C et al. 2023. Mangroves' role in supporting ecosystem-based techniques to reduce disaster risk and adapt to climate change: A review. Journal of Sea Research 96:1-13. DOI : 10.1016/j.seares.2023.102449.
Soeprobowati TR, Anggoro S, Puryono S, et al. 2022. Species Composition and Distribution in the Mangrove Ecosystem in the City of Bengkulu, Indonesia. Water 14: 1-19. DOI: 10.3390/w142135.
Tatongjai S, Kraichak E, Kermanee P. 2021. Comparative Anatomy and Salt Management of Sonneratia caseolaris (L.) Engl.(Lythraceae) Grown in Saltwater and Freshwater. PeerJ 9: E10962. DOI: 10.7717/peerj.10962.
Thiagarajan K, Manapakkam Anandan M, Stateczny A, Bidare Divakarachari, P, Kivudujogappa Lingappa H. 2021. Satellite image classification using a hierarchical ensemble learning and correlation coefficient-based gravitational search algorithm. Remote Sensing, 13(21), 4351. DOI: 10.3390/rs13214351
Tuholske C, Tane Z, López-Carr D, Roberts D, Cassels, S. 2017. Thirty years of land use/cover change in the Caribbean: Assessing the relationship between urbanization and mangrove loss in Roatán, Honduras. Applied Geography 88: 84-93. DOI: 10.1016/j.apgeog.2017.08.018.
Thomas N, Lucas, R, Bunting P, Hardy A, Rosenqvist A, Simard M. 2017. Distribution and drivers of global mangrove forest change, 1996–2010. PloS one 12(6): 1-14. DOI: 10.1371/journal.pone.0179302.
Thomas N, Bunting P, Lucas R, Hardy A, Rosenqvist A, Fatoyinbo T. 2018. Mapping mangrove extent and change: A globally applicable approach. Remote Sensing 10(9): 1466. DOI: 10.3390/rs10091466.
Vebryanti, A., Daud, I.D., Dungga, N.E. 2023, October. Damage Caused by Spodoptera frugiperda JE Smith on Corn in Climate Zones in South Sulawesi, Indonesia. In IOP Conference Series: Earth and Environmental Science, 1255(1): 012011.
Villanueva AJ, Vernaza-Quiñónez L, Granado-Díaz R. 2023. Disentangling The Heterogeneity of Mangrove Managers' Perception of Ecosystem Services. Ecological Economics 213: 1-9. DOI: 10.1016/j.ecolecon.2023.107969.
Valderrama L, Troche C, Rodriguez MT, Marquez D, Vázquez B, Velázquez S, Vázquez A, Cruz MI, Ressl R. 2014. Evaluation of mangrove cover changes in Mexico during the 1970–2005 period. Wetlands 34(4): 747-758. DOI: 10.1007/s13157-014-0539-9
Wen D, Hong M, Wang H et al. 2023. Spatiotemporal Dynamics and Potential Restoration of Mangroves in Circum-Xinying-Bay Region, Hainan Province. China. Journal of Sea Research 193: 1-12. DOI: 10.1016/j.seares.2023.102368.
Whitfield AK. 2017. The Role of Seagrass Meadows, Mangrove Forests, Salt Marshes and Reed Beds as Nursery Areas and Food Sources for Fishes in Estuaries. Rev Fish Biol Fisheries 27: 75–110. DOI: 10.1007/s11160-016-9454-x.
Widayanti TF, Irfan AM, Djafar EM et al. 2023. The Role of the Biological Diversity Convention in Mangroves Rehabilitation in Indonesia. In IOP Conference Series: Earth and Environmental Science 1181: 1-11. DOI: 10.1088/1755-1315/1181/1/012006.
Xiao H, Su F, Fu D, Wang Q, & Huang C. 2020. Coastal mangrove response to marine erosion: Evaluating the impacts of spatial distribution and vegetation growth in Bangkok Bay from 1987 to 2017. Remote Sensing 12(2): 220. DOI: 10.3390/rs12020220