Application of Remote Sensing in Analyzing Mangrove Forest Changes and Drivers in Mui Ca Mau National Park, Vietnam
Main Article Content
Abstract
Mangroves are vital in coastal ecology and for sustaining and securing coastal communities. However, several factors such as human activities and climate change have changed mangroves' quantity and quality. This research analyses land-use/land cover (LULC) changes focusing on mangroves in Mui Ca Mau National Park (MCMNP) from 1995-2022. Collected Landsat imagery in 1995, 2003, and 2022 were applied to perform this research. Overall accuracy and Kappa of land cover classification were 88.5% and 0.86 in 2003, and 87.6% and 0.85 in 2022, respectively. The classified results showed that the mangrove area had increased significantly from 4,316.1 hectares in 1995 to 8,741.3 and 10,764.1 hectares in 2003 and 2022, respectively. In addition, the drivers of mangrove change were identified and analyzed. This study showed the important role of policy in mangrove conservation and the sustainable use of natural resources. The study provided useful information for policy-making in terms of forest conservation and management.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Published articles are under the copyright of the Applied Environmental Research effective when the article is accepted for publication thus granting Applied Environmental Research all rights for the work so that both parties may be protected from the consequences of unauthorized use. Partially or totally publication of an article elsewhere is possible only after the consent from the editors.
References
Pastor-Guzman J., Dash J., Atkinson P.M. (2018). Remote sensing of mangrove forest phenology and its environmental drivers. Remote Sensing of Environment, 205(January 2017), 71–84. https://doi.org/10.1016/j.rse.2017.11.009
Villate Daza D.A., Moreno H.S., Portz L., Manzolli R.P., Bolívar-Anillo H.J., Anfuso G. (2020). Mangrove forests evolution and threats in the Caribbean sea of Colombia. Water (Switzerland), 12(4), 20. https://doi.org/10.3390/W12041113
Tinh P.H., MacKenzie R.A., Hung T.D., Vinh T.V., Ha H.T., Lam M.H., Hanh N.T.H., Tung N.X., Hai P.M., Huyen, B.T. (2022). Mangrove restoration in Vietnamese Mekong Delta during 2015-2020: Achievements and challenges. Frontiers in Marine Science, 9(December), 1–11. https://doi.org/10.3389/fmars.2022.1043943
Ghosh A., Munshi M., Areendran G., Joshi P.K. (2012). Pattern Space Analysis of Landscape Metrics for Detecting Changes in Forests of Himalayan Foothills. Asian Journal of Geoinformatics, 12(1).
Valiela I., Bowen J.L., York J.K. (2001). Mangrove Forests : One of the World ’ s Threatened Major Tropical Environments. Biogeosciences, 51(10).
WWF (World Wildlife Fund). (2018). Mangrove forests: threats. Available from:
https://wwf.panda.org/discover/our_focus/oceans_practice/coasts/mangroves/mangrove_threats/. [Accessed February 8, 2021]
Dale P.E.R., Knight J.M., Dwyer P.G., (2014). Mangrove rehabilitation: a review focusing on ecological and institutional issues. Wetlands Ecol Manage (2014) 22:587–604. https://doi.org/10.1007/s11273-014-9383-1
Hong P.N., San H.T. (1993). Mangroves of Vietnam. IUCN, Bangkok, Thailand.
Buckton S.T., Cu N., Quynh H.Q., Tu N.T. (1999). The Conservation of Key Wetland Sites in the Mekong Delta. In International Vietnam Programme Conservation Report (Issue No.12).
Huyen N.T., Tu L.H., Loi N.K. (2022). Applying landscape approach in assessing effectiveness of mangrove conservation in Mui Ca Mau National Park, Vietnam. Journal of Forest Research, 27(5), 371–378. https://doi.org/10.1080/13416979.2022.2045676
Kuenzer C., Bluemel A., Gebhardt S., Quoc T.V., Dech S. (2011). Remote sensing of mangrove ecosystems: A review. Remote Sensing, 3(5), 878–928.
Nguyen H.T.T., Hardy G.E.S., Le T.V., Nguyen H.Q., Nguyen H.H., Nguyen T.V., Dell B. (2021). Mangrove forest landcover changes in coastal Vietnam: A case study from 1973 to 2020 in Thanh Hoa and Nghe An provinces. Forests, 12(5), 1–20. https://doi.org/10.3390/f12050637
Vo Q.T., Oppelt N., Leinenkugel P., Kuenzer C. 2013. Remote sensing in mapping mangrove ecosystems-An object-based approach. Remote Sensing, 5, 183–201.
Pham T. D., Yokoya N., Bui, D.T., Yoshino K., Friess D.A. (2019). Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges. Remote Sensing, 11(3), 24. https://doi.org/10.3390/rs11030230
Huyen N.T., Viet P.B., Nguyen, L.D. (2020). CHAPTER 10 Assessing the Applicability of Radar and Optical Images in Monitoring a Mangrove Forest: A Case Study of Ca Mau Province, Vietnam. In J. Inocencio E. Buot (Ed.), Methodologies Supportive of Sustainable Development in Agriculture and Natural Resources Management: Selected Cases in Southeast Asia (pp. 181–192). SEARCA.
Li H., Jia M., Zhang R., Ren Y., Wen X. (2019). Incorporating the plant phenological trajectory into mangrove species mapping with dense time series Sentinel-2 imagery and the Google Earth Engine platform. Remote Sensing, 11(21). https://doi.org/10.3390/rs11212479
Mondal P., Trzaska S., De Sherbinin A. 2018. Landsat-derived estimates of mangrove extents in the Sierra Leone coastal landscape complex during 1990-2016. Sensors (Switzerland), 18(1), 15. https://doi.org/10.3390/s18010012
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.
Dan T.T., Chen C.F., Chiang S.H., Ogawa S. 2016. Mapping and change analysis in mangrove forest by using Landsat imagery. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III–8(July), 109–116.
Wicaksono P., Danoedoro P., Hartono, Nehren U. (2016). Mangrove biomass carbon stock mapping of the Karimunjawa Islands using multispectral remote sensing. International Journal of Remote Sensing, 37(1), 26–52. https://doi.org/https://doi.org/10.1080/01431161.2015.1117679
Vinciková H., Hais M., Brom J., Procházka J., Pecharová E. (2010). Use of remote sensing methods in studying agricultural landscapes-a review. Journal of Landscape Studies, 3(April), 53–63.
Binh T.N.K.D., Vromant N., Hung N.T., Hens L., Boon E.K. (2005). Land cover changes between 1968 and 2003 in Cai Nuoc, Ca Mau Peninsula, Vietnam. Environment, Development and Sustainability, 7(4), 519–536.
Thu P.M., Populus J. (2007). Status and changes of mangrove forest in Mekong Delta: Case study in Tra Vinh, Vietnam. Estuarine, Coastal and Shelf Science, 71(1–2), 98–109.
Thao Tran. (2009). Landscapes of mangrove forests and littoral dynamics in the South Viet-Nam. Journal of Coastal Conservation, 13(2), 65–75.
Rhyma P.P., Norizah K., Ismail A.A.M., Shamsudin I. (2016). A review of uses of satellite imagery in monitoring mangrove forests. IOP Conference Series: Earth and Environmental Science, 37(1), 15.
Son N., Chen C., Chang N., Chen C., Chang L., Thanh B. (2015). 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, 8(2), 503–510. https://doi.org/https://doi.org/10.1109/JSTARS.2014.2360691
Van T.T., Wilson N., Thanh-Tung H., Quisthoudt K., Quang-Minh V., Xuan-Tuan L., Dahdouh-Guebas, F., Koedam N. (2015). 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, 63, 71–81.
Tran H., Tran T., Kervyn M. 2015. Dynamics of land cover/land use changes in the Mekong Delta, 1973-2011: A Remote sensing analysis of the Tran Van Thoi District, Ca Mau Province, Vietnam. Remote Sensing, 7(3), 2899–2925.
Tran L.X., Fischer A. 2017. Spatiotemporal changes and fragmentation of mangroves and its effects on fish diversity in Ca Mau Province (Vietnam). Journal of Coastal Conservation, 21(3), 355–368. https://doi.org/10.1007/s11852-017-0513-9
Mui Ca Mau National Park. (2019). Mui Ca Mau National Park. Vietnam News Agency Publishing House.
Hughes R., Trai L.T., Dung V.V. (2001). Mui Ca Mau National Park. In Sourcebook of existing and proposed Protected areas in Vietnam (Second edi). BirdLife International, Forest Inventory and Planning Institute.
Cuong T.N. (2012). Information Sheet on Ramsar Wetlands (RIS) – 2009-2012 version. https://www.ramsar.org/sites/default/files/documents/library/key_ris_e.pdf. [Accessed 5 February 2018]
ESRI (Environmental Systems Research Institute) (1998). ESRI Shapefile Technical Description. Available from: https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/library/whitepapers/pdfs/shapefile.pdf . [Accessed May 8, 2023]
ESRI (Environmental Systems Research Institute) (2012). Introducing ArcGIS 10.1. Available from: https://www.esri.com/news/arcnews/spring12articles/introducing-arcgis-101.html. [Accessed May 8, 2023]
The Vietnam Government (2016). Decision 49/2016/QD-TTg Regulation production forest management. Available from: https://m.thuvienphapluat.vn/van-ban/Tai-nguyen-Moi-truong/Decision-49-2016-QD-TTg-Regulation-production-forest-management-341249.aspx . [Accessed January 8, 2023]
Lu D., Weng Q. (2007). A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5), 823–870. https://doi.org/10.1080/01431160600746456
Hong H.T.C., Avtar R., Fujii M. (2019). Monitoring changes in land use and distribution of mangroves in the southeastern part of the Mekong River Delta, Vietnam. Tropical Ecology, 60(4), 552–565. https://doi.org/10.1007/s42965-020-00053-1
Minh T.H., Yakupitiyage A., Macintosh D.J. (2001). Management of the Integrated Mangrove - Aquaculture Farming Systems in the Mekong Delta of Vietnam. In ITCZM Monograph (Issue 1).
Alongi D.M. (2002). Present state and future of the world ’ s mangrove forests. Environmental Conservation, 29(03), 331–349. https://doi.org/10.1017/S0376892902000231
Romañach S.S., DeAngelis D.L., LyeKoh H., Li Y., Barizan R.S.R., Zhai, L. (2018). Conservation and restoration of mangroves: Global status, perspectives, and prognosis. Ocean and Coastal Management 154 (2018) 72–82. https://doi.org/10.1016/j.ocecoaman.2018.01.009.