Сhanges of the mangrove forest area in Thanh Phu district, Ben Tre province (Vietnam) during 1990–2020
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Abstract
The complex ecosystem of mangrove forests holds great ecological and economic significance. Unfortunately, in the last half-century, numerous mangrove forests have been lost due to high population growth, rapid urbanization, aquaculture expansion, and other human activities. Asia, in particular, has experienced the most significant decline of mangrove forests, Including Vietnam. However, recent studies indicate that mangroves in Vietnam are either expanding or fragmenting. The objective of the study is to evaluate changes in the area of coastal mangroves in Thanh Phu district, Ben Tre province in the period 1990–2020 by applying remote sensing technology. To plan for management and to improve the role of mangroves in providing ecosystem services and resources, local livelihoods, and global benefits. Based on the research and analysis results, the authors have established a map of changes in mangrove area in Thanh Phu district, Ben Tre province. In general, the area of mangrove forests in Thanh Phu distric has decreased over 30 years. Despite the fact that after 2000 there has been an increase in the area of mangrove forests in the study area. The spatial transformation of coastal mangroves in Thanh Phu district, Ben Tre province over a span of 30 years and the factors responsible for their reduction are investigated in the study. The research also reveals the recovery process of mangroves through various stages, offering valuable insights to government for proposing solutions to regenerate and enhance mangrove ecosystems. This could ultimately aid in the restoration and enrichment of varied coastal ecosystems.
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References
Фан Ч. Х., Ковязин В. Ф., Звонарёва С. С., Нгуен Т. Х. Т., Нгуен Т. Л. Физико-химические свойства почв мангровых лесов Вьетнама // Известия вузов. Лесной журнал. – 2021. – № 5. – С. 9–21. – https://doi.org/10.37482/0536-1036-2021-5-9-21
Alongi D. M. Carbon sequestration in mangrove forests // Carbon Management. – 2012. – Vol. 3, iss. 3. – P. 313–322. – https://doi.org/10.4155/cmt.12.20
Alongi D. M. Present state and future of the world’s mangrove forests // Environmental Conservation. – 2002. – Vol. 29, iss. 3. – P. 331–349. – https://doi.org/10.1017/S0376892902000231
Alongi D. M., Tirendi F., Trott L. A., Xuan T. T. Benthic decomposition rates and pathways in plantations of the mangrove Rhizophora apiculata in the Mekong delta, Vietnam // Marine Ecology – Progress Series. – 2000. – Vol. 194. – P. 87–101. – https://doi.org/10.3354/meps194087
Béland M., Goïta K., Bonn F., Pham T. T. H. Assessment of land-cover changes related to shrimp aquaculture using remote sensing data: a case in the Giao Thury District, Vietnam // International Journal of Remote Sensing. – 2006. – Vol. 27, iss. 7/8. – P. 1491–1510. – https://doi.org/10.1080/01431160500406888
Binh T. N. K. D., Vromant N., Hung T. N., Hens L., Boon K. E. Land cover changes between 1968 and 2003 in Cai Nuoc, Ca Mau peninsula, Vietnam // Environment, Development and Sustainability. – 2005. – Vol. 7, iss. 4. – P. 519–536. – https://doi.org/10.1007/s10668-0046001-z
Chen B., Xiao X., Li X., Pan L., Doughty R., Ma J., Dong J., Qin Y., Zhao B., Wu Z., Sun R., Lan G., Xie G., Clinton N., Giri C. A mangrove forest map of China in 2015: analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform // ISPRS Journal of Photogrammetry and Remote Sensing. – 2017. – Vol. 131. – P. 104–120. – https://doi.org/10.1016/j.isprsjprs.2017.07.011
Diniz C., Cortinhas L., Nerino G., Rodrigues J., Sadeck L., Adami M., Souza-Filho P. W. M. Brazilian mangrove status: three decades of satellite data analysis // Remote Sensing. – 2019. – Vol. 11, iss. 7. – P. 808. – https://doi.org/10.3390/rs11070808
Donato D. C., Kauffman J. B., Murdiyarso D., Kurnianto S., Stidham M., Kanninen M. Mangroves among the most carbon-rich forests in the tropics // Nature Geoscience. – 2011. – Vol. 4, iss. 5. – P. 293–297. – https://doi.org/10.1038/ngeo1123
Duke N. C., Meynecke J. O., Dittmann S., Ellison A. M., Anger K., Berger U., Cannicci S., Diele K., Ewel C. K., Field C. D., Koedam N., Lee S. Y., Marchand C., Nordhaus I., Dahdouh-Guebas F. A World without mangroves? // Science. – 2007. – Vol. 317, iss. 5834. – P. 41–42. – https://doi.org/10.1126/science.317.5834.41b
Gao B. C. NDWI — A Normalized difference water index for remote sensing of vegetation liquid water from space // Remote Sensing of Environment. – 1996. –Vol. 58, iss. 3. – P. 257–266. – https://doi.org/10.1016/S0034-4257(96)00067-3
Giri C., Long J., Abbas S., Murali R. M., Qamer F. M., Pengra B., Thau D. Distribution and dynamics of mangrove forests of South Asia // Journal of Environmental Management. – 2015. – Vol. 148. – P. 101–111. – https://doi.org/10.1016/j.jenvman.2014.01.020
Gupta K., Mukhopadhyay A., Giri S., Chand A., Majumdar S. D., Samanta S., Mitra D., Samal R. N., Pattnaik A. K., Hazra S. An index for discrimination of mangroves from nonmangroves using LANDSAT 8 OLI imagery // MethodsX. – 2018. – Vol. 5. – P. 1129–1139. – https://doi.org/10.1016/j.mex.2018.09.011
Hauser L. T., Vu G. N., Nguyen B. A., Dade E., Nguyen H. M., Nguyen T. T. Q., Le T. Q., Vu L. H., Tong A. T. H., Pham H. V. Uncovering the spatio-temporal dynamics of land cover change and fragmentation of mangroves in the Ca Mau peninsula, Vietnam using multi-temporal SPOT satellite imagery (2004–2013) // Applied Geography. – 2017. – Vol. 86. – P. 197–207. – https://doi.org/10.1016/j.apgeog.2017.06.019
Huan P. N., Lan N. T. A Study of mangrove forests in the Khanh Hoa province of Vietnam // Известия вузов. Лесной журнал. – 2019. – № 3. – С. 64–72. – https://doi.org/10.17238/issn05361036.2019.3.64
Kauffman J. B., Heider C., Norfolk J., Payton F. Carbon stocks of intact mangroves and carbon emissions arising from their conversion in the Dominican Republic // Ecological Applications. – 2014. – Vol. 24, iss. 3. – P. 518–527. – https://doi.org/10.1890/13-0640.1
Kuenzer C., Tuan V. Q. Assessing the ecosystem services value of can Gio mangrove biosphere reserve: combining earth-observation- and household-survey-based analyses // Applied Geography. – 2013. – Vol. 45. – P. 167–184. – https://doi.org/10.1016/j.apgeog.2013.08.012
Li X., Liu J. P., Saito Yo., Nguyen V. L. Recent evolution of the Mekong delta and the impacts of dams // Earth-Science Reviews. – 2017. – Vol. 175. – P. 1–17. – https://doi.org/10.1016/j.earscirev.2017.10.008
Mai Trong Thinh, Nguyen Hai Hoa. Sử dụng ảnh viễn thám đa thời gian trong đánh giá biến động diện tích rừng ngập mặn tại thị xã Quảng Yên, tỉnh Quảng Ninh // Tạp chí Khoa học và công nghệ lâm nghiệp. – 2017. – Vol. 3. – P. 101–112.
Manh N. V., Dung N. V., Hung N. N., Kummu M., Merz B., Apel H. Future sediment dynamics in the Mekong delta floodplains: impacts of hydropower development, climate change and sea level rise // Global and Planetary Change. – 2015. – Vol. 127. – P. 22–33. – https://doi.org/10.1016/j.gloplacha.2015.01.001
McHugh M. L. Interrater reliability: the kappa statistic // Biochemia Medica. – 2012. – Vol. 22, iss. 3. – P. 276–282. – https://doi.org/10.11613/BM.2012.031
Nardin W., Woodcock C. E., Fagherazzi S. Bottom sediments affect Sonneratia mangrove forests in the prograding Mekong delta, Vietnam // Estuarine, Coastal and Shelf Science. – 2016. – Vol. 177. – P. 60–70. – https://doi.org/10.1016/j.ecss.2016.04.019
Nguyen H. H., Dargusch P., Moss P., Tran D. B. A review of the drivers of 200 years of wetland degradation in the Mekong delta of Vietnam // Regional Environmental Change. – 2016. – Vol. 16, iss. 8. – P. 2303–2315. – https://doi.org/10.1007/s10113-016-0941-3
Nguyen H. H., McAlpine C., Pullar D., Johansen K., Duke N. C. The relationship of spatialtemporal changes in fringe mangrove extent and adjacent land-use: case study of Kien Giang coast, Vietnam // Ocean and Coastal Management. – 2013. – Vol. 76. – P. 12–22. – https://doi.org/10.1016/j.ocecoaman.2013.01.003
Phạm H. L. Nghiên cứu tổng hợp các vấn đề môi trường vùng ven biển và cửa sông tỉnh Bến Tre, xây dựng các biện pháp phòng chống sự cố môi trường trong khu vực. Phần I, giai đoạn I năm, 1996. Điều tra nghiên cứu trượt lở đất và bồi lắng vùng cửa sông ven biển : Báo cáo là kết quả nghiên cứu theo hợp đồng số 609HĐMTg (8/8/1996) / Sở Khoa học công nghệ tỉnh Bến Tre, Liên đoàn địa chất 6 – Trung tâm Kiến tạo-Tai biến và Môi trường tự nhiên Bến Tre. – [Vietnam], 1997.
Pham L. T. H., Brabyn L. Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms // SPRS Journal of Photogrammetry and Remote Sensing. – 2017. – Vol. 128. – P. 86–97. – https://doi.org/10.1016/j.isprsjprs.2017.03.013
Pham T. D., Yoshino K. Aboveground biomass estimation of mangrove species using ALOS-2 PALSAR imagery in Hai Phong city, Vietnam // Journal of Applied Remote Sensing. – 2017. – Vol. 11, iss. 2. – [Art. no.] 026010. – https://doi.org/10.1117/1.JRS.11.026010
Pham T. D., Yoshino K. Mangrove mapping and change detection using multitemporal Landsat imagery in Hai Phong city, Vietnam // The International Symposium on Cartography in Internet and Ubiquitous Environments, 17–19 March, 2015, Tokyo.
Pham T. D., Yoshino K., Le N., Bui D. T. Estimating aboveground biomass of a mangrove plantation on the northern coast of Vietnam using machine learning techniques with an integration of ALOS-2 PALSAR-2 and Sentinel-2A data // International Journal of Remote Sensing. – 2018. – Vol. 39, iss. 22. – P. 7761–7788. – https://doi.org/10.1080/01431161.2018.1471544
Pham T. D., Yoshino K., Bui D. T. Biomass estimation of Sonneratia caseolaris (I.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks // GIScience & Remote Sensing. – 2017. – Vol. 54. iss. 3. – P. 329–353. – https://doi.org/10.1080/15481603.2016.1269869
Pham T. L., Son T. S., Gunasekara K., Nhan N. T., La H. P. Application of remote sensing and GIS technology for monitoring coastal changes in estuary area of the Red river system, Vietnam // Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography. – 2013. – Vol. 31, iss. 6-2. – P. 529–538. – https://doi.org/10.7848/ksgpc.2013.31.6-2.529
Phùng Thái Dương, Tôn Sơn. Đánh giá biến động rừng ngập mặn tỉnh Cà Mau trên cơ sở ảnh vệ tinh giai đoạn 1988–2018 // Tạp chí Đại học Sư phạm Hà Nội. – 2021. – Vol. 66, iss. 1. – P. 175–185.
Phùng Thái Dương, Tôn Sơn. Đánh giá biến động rừng ngập mặn tỉnh Kiên Giang trên cơ sở ảnh vệ tinh giai đoạn 1988–2018 // Tạp chí Đại học Thái Nguyên. – 2020. – Vol. 225, iss. 6. – P. 141–148.
Phùng Thái Dương, Tôn Sơn. Đánh giá biến động rừng ngập mặn tỉnh Tiền Giang trên cơ sở ảnh vệ tinh giai đoạn 1988–2018 // Tạp chí Đại học Cần Thơ. – 2021. – Vol. 57, iss. 1. – P. 64–74.
Quyen N. H., Brunner J. Land cover change assessment in the coastal areas of the Mekong delta 2004–2009. – Hanoi, Vietnam : IUCN, 2011. – 13 p.
Richards D. R., Friess D. A. Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012 // Proceedings of the National Academy of Sciences. – 2015. – Vol. 113, iss. 2. – P. 344–349. – https://doi.org/10.1073/pnas.1510272113
Seto K. C., Fragkias M. Mangrove conversion and aquaculture development in Vietnam: a remote sensing-based approach for evaluating the Ramsar Convention on Wetlands // Global Environmental Change. – 2007. – Vol. 17, iss. 3/4. – P. 486–500. – https://doi.org/10.1016/j.gloenvcha.2007.03.001
Son N. T, Chen C. F., Chang N. B., Chen C. R., Chang Ly Yu., Thanh B. X. Mangrove mapping and change detection in Ca Mau peninsula, Vietnam, using Landsat data and object-based image analysis // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. – 2015. –Vol. 8, iss. 2. – P. 503–510. – https://doi.org/10.1109/JSTARS.2014.2360691
Son T. H., Ye Q., Stive M. Estuarine mangrove squeeze in the Mekong delta, Vietnam // Journal of Coastal Research. – 2017. – Vol. 33, iss. 4. – P. 747–763. – https://doi.org/10.2112/JCOASTRESD-16-00087.1
The world’s mangroves 1980–2005 : A thematic study prepared in the framework of the global forest resources assessment 2005 / Food and Agriculture Organization of the UN. – Rome : FAO, 2007. – 128 p. – URL: https://www.fao.org/3/a1427e/a1427e.pdf (дата обращения: 19.12.2022).
Thu P. M., Populus J. Status and changes of mangrove forest in Mekong delta: Case study in Tra Vinh, Vietnam // Estuarine, Coastal and Shelf Science. – 2007. – Vol. 71, iss. 1/2. – P. 98–109. – https://doi.org/10.1016/j.ecss.2006.08.007
Thu T. N., Demaine H. Potentials for different models for freshwater aquaculture development in the Red River delta (Vietnam) using GIS analysis // Naga, the ICLARM Quarterly. – 1996. – Vol. 19, iss. 1. – P. 29–32. – https://hdl.handle.net/20.500.12348/2732 (дата обращения: 23.01.2023).
Tôn Sơn, Phùng Thái Dương. Đánh giá biến động rừng ngập mặn tỉnh Bến Tre trên cơ sở ảnh vệ tinh giai đoạn 1988–2018 // Tạp chí Đại học Đồng Tháp. – 2020. – Vol. 9, iss. 3. – P. 52–64.
Trần Thị Thu. Phân tích một số nguyên nhân gây xói lở và bồi tụ trầm tích trong vùng rừng ngập mặn : master’s diss. – Hồ Chí Minh [?], 2009. – 149 p.
Trần Vũ Khánh Linh, Viên Ngọc Nam. Phân tích diễn biến rừng bằng ảnh viễn thám tại Cồn Ngang, huyện Tân Phú, tỉnh Tiền Giang // Tạp chí Khoa học công nghệ lâm nghiệp. – 2017. – P. 34–40.
Truong T. D., Do H. L. Mangrove forests and aquaculture in the Mekong river delta // Land Use Policy. – 2018. – Vol. 73. – P. 20–28. – https://doi.org/10.1016/j.landusepol.2018.01.029
Tucker C. J. Red and photographic infrared linear combinations for monitoring vegetation // Remote Sensing of Environment. – 1979. – Vol. 8, iss. 2. – P. 127–150. – http://dx.doi.org/10.1016/00344257(79)90013-0
USGS. Science for a changing world : [website]. — URL: https://earthexplorer.usgs.gov/ (дата обращения: 25.01.2023).
Van T. T., Wilson N., Tung H. T., Quisthoudt K., Minh V. Q., Tuan L. X., Guebas F. D., Koedam N. Changes in mangrove vegetation area and character in a war and land use change affected region of Vietnam (Mui Ca Mau) over six decades // Acta Oecologica. – 2015. – Vol. 63. – P. 71–81. – https://doi.org/10.1016/j.actao.2014.11.007
Vo Q. T., Kuenzer C., Oppelt N. How remote sensing supports mangrove ecosystem service valuation: A case study in Ca Mau province, Vietnam // Ecosystem services. – 2015. – Vol. 14. – P. 67–75. – https://doi.org/10.1016/j.ecoser.2015.04.007
Xu H. Q. A Study on information extraction of water body with the Modified Normalized Difference Water Index (MNDWI) // Journal of Remote Sensing. – 2005. – Vol. 9, no. 5. – P. 589–595.
