
Building Sustainable Indicators for Mangrove Forests Based on a Survey to Determine Forest Erosion in the Southwestern Sea of Vietnam
DOI:
https://doi.org/10.30564/jees.v7i8.10762Abstract
The increased erosion of mangrove forests has alarmed the government about the damage to both the economy and livelihoods. To evaluated forest and land erosion the coast. Based on survey data is divided into five levels (F1: no erosion; F2: little erosion; F3: moderate erosion; F4: high erosion; F5: strong erosion), and ecological conditions, the coast is divided into sub-regions for investigation. From the surveyed indicators at each erosion level, forest structure is analyzed for comparison. The erosion level is defined as an erosion function (Er) from 1 to 5 (+), where (1) parameters include the number of trees per hectare (Ntr/ha), height to top (Ht), trunk diameter at 1.3 m (D1.3), tree canopy diameter (Dc), and width of the forest range (Wf); (2) land erosion is a function (Erl = Erlte + Erlsa + Erlsi + Erlcl), with parameters including erosion by terrain (Erlte), sand (Erlsa), silt (Erlsi), and clay (Erlcl); and (3) climate change leading to erosion is an inverse function (Cl) from 1 to 5 (–), with parameters including erosion by rainfall (Clra), wind (Clwi), waves (Clwa), and tide (Clti). The resulting function output is Er = (Erf + Erl)–Cl. On eroded forest land, species were tested under climate change conditions and their growth in the next rainy season to assess survival rates affected by rainfall, waves, wind, and tides. These results help to plan planting mangrove forest anti-erosion models and construct a theoretical function of mangrove erosion and proposes restore forests using pioneer species.
Keywords:
Mangroves Forest; Forest Erosion; Coastal Erosion; West Sea; VietnamReferences
[1] People’s Committee of Ca Mau province, 2024. Plan on natural disasterprevention in Ca Mau province. No. 1052-QĐ-UBND 24 May 2024. Available from: http://www.camau.gov.vn (cited 5 June 2025).
[2] People’s Committee of Kien Giang, 2020. Diaster prevention and search and rescue report 2020. No. 152-KH UBND, 09 December 2020. Available from: https://www.kiengiang.gov.vn (cited 5 June 2025).
[3] Duke, N., Wilson, N., Mackenzie, J., et al., 2010. Assessing Mangrove Forests, Shoreline Condition and Feasibility of REDD for Kien Giang Province Vietnam. July 2010. Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH: Rach Gia, Vietnam. DOI: https://doi.org/10.13140/RG.2.1.1032.5367
[4] Pham, Q.V., Nguyen, L.M., Vu, H.M., 2023. Assessment of the changes in the structure of mangroves based on stand age in Bang La, Hai Phong, Vietnam. Vietnam Journal of Marine Science and Technology. 23(4), 397–408. DOI: https://doi.org/10.15625/1859-3097/18245
[5] Cao, J., Xu, X., Zhuo, L., et al., 2023. Investigating mangrove canopy phenology in coastal areas of China using time series Sentinel-1/2 images. Ecological Indicators. 154, 110815. DOI: https://doi.org/10.1016/j.ecolind.2023.110815
[6] Ukpong, E., 2000. Ecological classification of Nigerian mangroves using soil nutrient gradient analysis. Wetlands Ecology and Management. 8(4), 263–272. DOI: https://doi.org/10.1023/A:1008452923256
[7] Petrosian, H., Kar, A.D., Ashrafi, S., et al., 2016. Investigating Environmental Factors for Locating Mangrove Ex-situ Conservation Zones Using GIS Spatial Techniques and the Logistic Regression Algorithm in Mangrove Forests in Iran. Polish Journal of Environmental Studies. 25(5), 2097–2106. DOI: https://doi.org/10.15244/pjoes/62640
[8] Ward, R.D., Friess, D.A., Day, R.H., et al., 2016. Impacts of climate change on mangrove ecosystems: a region by region overview. Ecosystem Health and Sustainability. 2(4), e01211. DOI: https://doi.org/10.1002/ehs2.1211
[9] Silva, N.R.D., Maia, R.C., 2019. Evaluation of the growth and survival of Mangroves seedling under different light intensities: Simulating the effect of mangroves deforestation. Revista Árvore. 43(3), e430308. DOI: https://doi.org/10.1590/1806-90882019000300008
[10] Alura, D., Ortego, R.P.A., 2016. Regeneration of Mangrove Forest Devastated by Typhoon Haiyan in Eastern Samar, Philippines. International Journal of Current Research. 8(6), 32373–32377.
[11] Dookie, S., Jaikishun, S., Ansari, A., 2024. Mangrove tree growth, diversity, and distribution in tropical coastline ecosystems. Biodiversity Journal. 14(4), 775–789. DOI: https://doi.org/10.31396/Biodiv.Jour.2023.14.4.775.789
[12] Veettil, B.K., Quang, N.X., Bao, D.Q., et al., 2022. Mangrove forest degradation and shoreline erosion in the Mekong delta: a case study from Ben Tre province. Vietnam Journal of Science and Technology. 60(5), 825–836. DOI: https://doi.org/10.15625/2525-2518/16555
[13] Karimi, Z., Abdi, E., Deljouei, A., 2022. Vegetation-induced soil stabilization in coastal area: An example from a natural mangrove forest. CATENA. 216, 106410. DOI: https://doi.org/10.1016/j.catena.2022.106410
[14] Gamage, P.P., Nishanthan, G., Rihan, M.H., 2023. Determination of Soil Suitability for Mangroves Planting at Oluvil Coastal Zone: A Mechanism to Prevent Coastal Erosion. In Proceedings of the National Aquatic Resources Research and Development Agency (NARA), Annual Scientific Sessions 2023, Colombo, Sri Lanka, 13 December 2023; pp. 70.
[15] Dewiyanti, I., Darmawi, D., Muchlisin, Z.A., et al., 2021. Physical and chemical characteristics of soil in mangrove ecosystem based on differences habitat in Banda Aceh and Aceh Besar. IOP Conference Series: Earth and Environmental Science. 674, 012092. DOI: https://doi.org/10.1088/1755-1315/674/1/012092
[16] Xu, X., Fu, D., Su, F., et al., 2024. Global distribution and decline of mangrove coastal protection extends far beyond area loss. Nature Communications. 15(1), 10267. DOI: https://doi.org/10.1038/s41467-024-54349-0
[17] Alongi, D.M., 2022. Climate Change and Mangroves. In: Das, S.C., Pullaiah, Ashton, E.C. (eds.). Mangroves: Biodiversity, Livelihoods and Conservation. Springer: Singapore. pp. 175–198. DOI: https://doi.org/10.1007/978-981-19-0519-3_8
[18] Hashim, A.M., Catherine, S.M.P., 2013. A Laboratory Study on Wave Reduction by Mangrove Forests. APCBEE Procedia. 5, 27–32.
[19] Zhang, K., Thapa, B., Ross, M., et al., 2016. Remote sensing of seasonal changes and disturbances in mangrove forest: a case study from South Florida. Ecosphere. 7(6), e01366. DOI: https://doi.org/10.1002/ecs2.1366
[20] Kobashi, D., Mazda, Y., 2005. Tidal Flow in Riverine-Type Mangroves. Wetlands Ecology and Management. 13(6), 615–619. DOI: https://doi.org/10.1007/s11273-004-3481-4
[21] McLeod, K.W., 2000. Species selection trials and silvicultural techniques for the restoration of bottomland hardwood forests. Ecological Engineering. 15(S1), S35–S46. DOI: https://doi.org/10.1016/S0925-8574(99)00070-1
[22] Vanclay, J.K., 2023. Field trials to develop Improved Silviculture in Forest Restoration. Presentation. End of Project Review, ACIAR ASEM/2016/103 Enhancing Livelihoods through Forest and Landscape Restoration. 20 November 2023. DOI: https://doi.org/10.13140/RG.2.2.19143.68004
[23] Pham, H.T., MacKenzie, R.A., et al., 2022. Mangrove restoration in Vietnamese Mekong Delta during 2015-2020: Achievements and challenges. Marine Conservation and Sustainability. 9, 1043943. DOI: https://doi.org/10.3389/fmars.2022.1043943
[24] Thornton, S.R., Johnstone, R.W., 2015. Mangrove rehabilitation in high erosion areas: Assessment using bioindicators. Estuarine, Coastal and Shelf Science. 165, 176–184. DOI: https://doi.org/10.1016/j.ecss.2015.05.013
[25] Blasco, F., Saenger, P., Janodet, E., 1996. Mangroves as indicators of coastal change. CATENA. 27(3–4), 167–178. DOI: https://doi.org/10.1016/0341-8162(96)00013-6
[26] Forster, P.M., Smith, C., Walsh, T., et al., 2025. Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence. Earth System Science Data. 17(6), 2641–2680. DOI: https://doi.org/10.5194/essd-17-2641-2025
Downloads
How to Cite
Issue
Article Type
License
Copyright © 2025 Mo Danh, Luom Thanh Thai, Ngoc Thi Hong Dang , Bao Manh Ngoc Nguyen

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.