PL EN


Preferences help
enabled [disable] Abstract
Number of results
2018 | 51 | 2 |
Article title

Effect of land-use changes resulting from shrimp farming on acid sulfate soils in the Can Gio coastal wetland area (Vietnam)

Content
Title variants
Languages of publication
EN
Abstracts
EN
Acid sulfate soils in coastal wetland areas are particularly vulnerable to land-use changes. We identifid the potential impacts of land-use changes in the Can Gio coastal wetland area in Vietnam due to the reclamation of acid sulfate soils from shrimp farms. Our study applied the support of vector machine algorithm in ENVI software to observe land-use changes from 1995 to 2015, using Landsat Thematic Mapper and Operational Land Imager data. We classifid the land use of the study area into four major classes including vegetation, bare land, dedicated land and aquaculture land. Our study successfully met the overall classifiation accuracy requirement above 95% and kappa statistics above 0.95. Between 1995 and 2006, about 2,938.05 ha of bare land and 1,464.66 ha of vegetation (mangrove forest) were converted to aquaculture land. In contrast, between 2006 and 2015, 2,423.88 ha of aquaculture land converted back to bare land, mainly related to the abandonment of shrimp ponds due to crop failure and disease. The disturbance of acid sulfate soils through initial soil reclamation and subsequent fallowing is considered a key reason for hastening and extending soil acidifiation in the study area. We collected 144 topsoil samples from 17 fallowed ponds in two batches, and 142 of these were acidic: 128 samples were extremely and strongly acidic (pH < 5.5), 14 samples were moderately and slightly acid (pH between 5.5 and 6.5), and only two samples were neutral (pH over 6.5).
Year
Volume
51
Issue
2
Physical description
Dates
published
2018
online
19 - 09 - 2018
Contributors
author
author
References
  • [1] Anh, P.T., Kroeze, C., Bush, S.R., Mol, A.P.J., 2010. Water pollution by intensive brackish shrimp farming in south-east Vietnam: Causes and options for control. Agricultural Water Management, 97(6): 872–882, DOI: 10.1016/j.agwat.2010.01.018.
  • [2] Fanning, D.S., Rabenhorst, M.C., Fitzpatrick, R.W., 2017. Historical developments in the understanding of acid sulfate soils. Geoderma, 308: 191–206, DOI: 10.1016/j.geoderma.2017.07.006.
  • [3] Hai, H.Q., My, B.P., Co, M.C., 1989. Quaternary strata in Ho Chi Minh City and the Eastern Region of South Vietnam. Geology and Mineral Materials, 210–223.
  • [4] Högfors-Rönnholm, E., Christel, S., Dalhem, K., Lillhonga, T., Engblom, S., Österholm, P., Dopson, M., 2018. Chemical and microbiological evaluation of novel chemical treatment methods for acid sulfate soils. Science of The Total Environment, 625: 39–49, DOI: 10.1016/j.scitotenv.2017.12.287.
  • [5] Karan, S.K., Samadder, S.R., 2016. Accuracy of land use change detection using support vector machine and maximum likelihood techniques for open-cast coal mining areas. Environmental Monitoring and Assessment, 188(8): 1–13, DOI: 10.1007/s10661-016-5494-x.
  • [6] Kuenzer, C., Tuan, V.Q., 2013. Assessing the ecosystem services value of Can Gio Mangrove Biosphere Reserve: Combining earth-observation and household-survey-based analyses. Applied Geography, 45: 167–184, DOI: 10.1016/j.apgeog.2013.08.012.
  • [7] Lieu, P., 2002. Coastal saline acid sulphate soils with aquaculture and mangroves: A case study in Hochiminh city environs. In: 17th World Congress of Soil Science, Bangkok, Thailand, pp. 536–546.
  • [8] Mahmood, N., Saikat, S.Q., 1995. On acid sulfate soils of the coastal aquaculture ponds of Bangladesh. Pakistan Journal of Marine Sciences, 4(1): 39–43.
  • [9] Martins, S., Bernardo, N., Ogashawara, I., Alcantara, E., 2016. Support vector machine algorithm optimal parameterization for change detection mapping in Funil Hydroelectric Reservoir (Rio de Janeiro State, Brazil). Modeling Earth Systems and Environment, 2(3): 1–10, DOI: 10.1007/s40808-016-0190-y.
  • [10] McDonough, S., Gallardo, W., Berg, H., Trai, N.V., Yen, N.Q., 2014. Wetland ecosystem service values and shrimp aquaculture relationships in Can Gio, Vietnam. Ecological Indicators, 46: 201–213, DOI: 10.1016/j.ecolind.2014.06.012.
  • [11] Nam, V.N., Sinh, L.V., Miyagi, T., Baba, S., Chan, H.T., 2014. An overview of Can Gio District and Mangrove Biosphere Reserve. Studies in Can Gio Mangrove Biosphere Reserve, Ho Chi Minh City, Vietnam Mangrove Ecosystems Technical Reports, 6: 1–7.
  • [12] Nho, T.N., Emilie, S., Trang, N.T.T., Frank, D., Cyril, M., 2018. Trace metals partitioning between particulate and dissolved phases along a tropical mangrove estuary (Can Gio, Vietnam). Chemosphere, 196: 311–322, DOI: 10.1016/j.chemosphere.2017.12.189.
  • [13] Perryman, S.E., Lapong, I., Mustafa, A., Sabang, R., Rimmer, M.A., 2017. Potential of metal contamination to affect the food safety of seaweed (Caulerpa spp.) cultured in coastal ponds in Sulawesi, Indonesia. Aquaculture Reports, 5: 27–33, DOI: 10.1016/j.aqrep.2016.12.002.
  • [14] Phuoc, H.L.V., Massel, S.R., 2006. Experiments on wave motion and suspended sediment concentration at Nang Hai, Can Gio mangrove forest, Southern Vietnam. Oceanologia, 48(1): 23–40.
  • [15] Ruprecht, J.E., Glamore, W.C., Rayner, D.S., 2018. Estuarine dynamics and acid sulfate soil discharge: Quantifying a conceptual model. Ecological Engineering, 110: 172–184, DOI: 10.1016/j.ecoleng.2017.11.017.
  • [16] Sammut, J., White, I., Melville, M.D., 1997. Acidifiation of an estuarine tributary in eastern Australia due to drainage of acid sulfate soils. Oceanographic Literature Review, 5(44): 445–459.
  • [17] Shi, X.Z., Aspandiar, M., Oldmeadow, D., 2014. Reflctance spectral characterization of acid sulphate soil in South Yunderup, Western Australia. International Journal of Remote Sensing, 35(10): 3537–3555, DOI: 10.1080/01431161.2014.907938.
  • [18] Son, N.T., Thanh, B.X., Da, C.T., 2016. Monitoring mangrove forest changes from multi-temporal Landsat data in Can Gio Biosphere Reserve, Vietnam. Wetlands, 36(3): 565–576, DOI: 10.1007/s13157-016-0767-2.
  • [19] Taati, A., Sarmadian, F., Mousavi, A., Pour, C.T.H., Shahir, A.H.E., 2014. Land use classifiation using support vector machine and maximum likelihood algorithms by Landsat 5 TM images. Walailak Journal of Science and Technology (WJST), 12(8): 681–687, DOI: 10.14456/WJST.2015.33.
  • [20] Thao, V.N., Cu, D.N., Thanh, X.N., 2012. Maping and detecting fallowed area of cultivated tiger shrimp ponds of coastal provinces by using remote sensing data (in Vietnamese). Journal of Marine Science and Technology, 12(3): 34–45.
  • [21] Thuong, V.T., Thach, H.N., 2017. Assessing the impact of climate change and sea level rise on shrimp farming in Can Gio district, Ho Chi Minh City. Journal of Science of Ho Chi Minh University of Education, 14(9): 187–199.
  • [22] Trai, V.N., Salim, M., Kenneth, Z., 2006. Water pollution concerns in shrimp farming in Vietnam: A case study of Can Gio, Ho Chi Minh City. The International Journal of Environmental, Cultural, Economic and Social Sustainability, 3(2): 129–138, DOI: 10.18848/1832-2077/CGP/v03i02/54339.
  • [23] Tuan, X.L., Munekage, Y., Kato, S., 2005. Antibiotic resistance in bacteria from shrimp farming in mangrove areas. Science of The Total Environment, 349(1): 95–105, DOI: 10.1016/j.scitotenv.2005.01.006.
  • [24] Ustuner, M., Sanli, F.B., Dixon, B., 2015. Application of support vector machines for landuse classifiation using high-resolution Rapid Eye images: A sensitivity analysis. European Journal of Remote Sensing, 48(1): 403–422, DOI: 10.5721/EuJRS20154823.
  • [25] Widyatmanti, W., Sammut, J., 2017. Hydro-geomorphic controls on the development and distribution of acid sulfate soils in Central Java, Indonesia. Geoderma, 308: 321–332, DOI: 10.1016/j.g
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.ojs-doi-10_17951_pjss_2018_51_2_205
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.