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Drivers of Coastal Shoreline Change: Case Study of Hon Dat Coast, Kien Giang, Vietnam

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Abstract

Coastal shorelines are naturally dynamic, shifting in response to coastal geomorphological processes. Globally, land use change associated with coastal urban development and growing human population pressures is accelerating coastal shoreline change. In southern Vietnam, coastal erosion currently is posing considerable risks to shoreline land use and coastal inhabitants. The aim of this paper is to quantify historical shoreline changes along the Hon Dat coast between 1995 and 2009, and to document the relationships between coastal mangrove composition, width and density, and rates of shoreline change. The generalized linear mixed-effects models were used to quantify the major biophysical and land-use factors influencing shoreline change rates. Most significant drivers of the rates of change are cutting of mangroves, the dominant mangrove genus, changes in adjacent shoreline land use, changes of shoreline land cover, and width of fringing mangroves. We suggest that a possible and inexpensive strategy for robust mangrove shoreline defense is direct mangrove planting to promote mangrove density with the presence of breakwater structures. In the shorter term, construction of coastal barriers such as fence-structured melaleuca poles in combination with mangrove restoration schemes could help retain coastal sediments and increase the elevation of the accretion zone, thereby helping to stabilize eroding fringe shorelines. It also is recommended that implementation of a system of payments for mangrove ecosystem services and the stronger regulation of mangrove cutting and unsustainable land-use change to strengthen the effectiveness of mangrove conservation programs and coastal land-use management.

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References

  • Abuodha PAO, Woodroffe CD (2010) Assessing vulnerability to sea-level rise using a coastal sensitivity index: a case study from southeast Australia. J Coast Conserv 14:189–205

    Article  Google Scholar 

  • Baayen RH, Davidson DJ, Bates DM (2008) Mixed-effects modelling with crossed random effects for subjects and items. J Mem Lang 59:390–412

    Article  Google Scholar 

  • Bates D, Maechler M, Bolker B (2012) lme4: linear mixed effects models using S4 classes. http://CRAN.R-project.org/package=lme4. Accessed Apr 2013

  • Bird E (2008) Coastal geomorphology: an introduction. Wiley, New York

    Google Scholar 

  • Booth GD, Niccolucci MJ, Schuster EG (1994) Identifying proxy sets in multiple linear regression: an aid to better coefficient interpretation. Research paper INT-470. United States Department of Agriculture, Forest Service, Ogden, USA

  • Bowen ME, McAlpine CA, House APN, Smith GC (2009) Agricultural landscape modification increases the abundance of an important food resource: mistletoes, birds and brigalow. Biol Conserv 142:122–133

    Article  Google Scholar 

  • Burnham KP, Anderson DR (2002) Model selection and multi-model inference: a practical information-theoretic approach, 2nd edn. Springer, New York

    Google Scholar 

  • Cahoon DR (2006) A review of major storm impacts on coastal wetland elevations. Estuar Coasts 29:889–898

    Article  Google Scholar 

  • Castillo JM, Luque CJ, Castellanos EM, Figueroa ME (2000) Causes and consequences of salt-marsh erosion in an Atlantic estuary in SW Spain. J Coast Conserv 6:89–96

    Article  Google Scholar 

  • Coops H, Geilen N, Verheij HJ, Boeters R, van der Velde G (1996) Interactions between waves, bank erosion and emergent vegetation: an experimental study in a wave tank. Aquat Bot 53:187–198

    Article  Google Scholar 

  • Daehler CC, Strong DR (1996) Status, prediction and prevention of introduced cordgrass Spartina spp. invasions in Pacific estuaries, USA. Biol Conserv 78:51–58

    Article  Google Scholar 

  • Dewidar K (2011) Changes in the shoreline position caused by natural processes for coastline of Marsa Alam and Hamata, Red Sea, Egypt. Int J Geosci 2:523–529

    Article  Google Scholar 

  • Du P, Walling DE (2011) Using 137 Cs measurements to investigate the influence of erosion and soil redistribution on soil properties. Appl Radiat Isot 69:717–726

    Article  CAS  Google Scholar 

  • Duc DM, Nhuan MT, Ngo CV (2012) An analysis of coastal erosion in tropical rapid accretion delta of the Red River, Vietnam. J Asian Earth Sci 43:98–109

    Article  Google Scholar 

  • Duke NC, Wilson N, Mackenzie J, Hai-Hoa N (2010) Report on assessing mangrove forests, shorelines conditions and feasibility of REDD for Kien Giang Province. Report paper

  • Dung BT, Ha DT, Chinh NQ (2004) Rewarding upland farmers for environmental services: experience, constraints and potential in Vietnam. World Agroforestry Centre (ICRAF), Southeast Asia

    Google Scholar 

  • Feagin RA, Lozada-bernard S, Ravern T, Moller I, Yearger K, Baird A (2009) Does vegetation prevent wave erosion of salt marsh edges. Proc Natl Acad Sci USA 106:10109–10113

    Article  CAS  Google Scholar 

  • French PW (2001) Coastal defences: processes, problem and solution. Routledge, Taylor and Francis Group, London and New York

    Book  Google Scholar 

  • Gedan KB, Kirwan ML, Wolanski E, Barbier EB, Silliman BB (2011) The present and future role of coastal wetland vegetation in protecting shorelines: answering recent changes to the paradigm. Clim Change 106:7–29

    Article  Google Scholar 

  • Gilman E, Ellison J, Coleman R (2007) Assessment of mangrove response to projected relative sea-level rise and recent historical reconstruction of shoreline position. Environ Monit Assess 124:105–130

    Article  Google Scholar 

  • Giri C, Zhu Z, Tieszen LL, Singh A, Gillette S, Kelmelis JA (2008) Mangrove forest distributions and dynamics (1975–2005) of the tsunami-affected region of Asia. J Biogeogr 35:519–528

    Article  Google Scholar 

  • GIZ Kien Giang (2012) Coastal rehabilitation and Mangrove restoration using Melaleuca fences: Practical experience from Kien Giang province. Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ) GmbH

  • Haglund M, Svensson P (2002) Coastal Erosion at Hai Hau beach in the Red River Delta, Vietnam. Master thesis, Lund Institute of Technology, Lund University

  • Hai-Hoa N (2014) Functional values and management of coastal mangroves: case study in Kien Giang Coast, Southern Vietnam. PhD thesis The University of Queensland, Australia

  • Hai-Hoa N, McAlpine C, Pullar D (2010) Role of fringe mangroves in tidal wave attenuation and wind reduction: Case study of the Hon Dat coast, Kien Giang, Vietnam (accepted for final revision in Ocean and Coastal Management)

  • Hai-Hoa N, Pullar D, Duke NC, McAlpine C, Hien NT, Johansen K (2010) Historic shoreline changes: an indicator of coastal vulnerability for human land-use and development in Kien Giang, Vietnam. In: Proceedings of Asian Association on Remote Sensing, Hanoi, Vietnam, 1–5 November 2010

  • Hai-Hoa N, McAlpine C, Pullar D, Johansen K, Duke NC (2013). The relationship of spatial-temporal changes in fringe mangroves extent and adjacent land-use: case study of Kien Giang coast, Vietnam. Ocean Coast Manag. doi:10.1016/j.ocecoaman.2013.01.003

  • Hai-Yen TN, Duy-Minh C, Schmitt K (2013) Soil particle-size composition and coastal erosion and accretion study in Soc Trang mangrove forests. J Coast Conserv 17:93–104

    Article  Google Scholar 

  • Hanh PTT, Furukawa M (2007) Impact of sea-level rise on coastal zone of Vietnam. Bulletin 84:45–59. Faculty of Sciences, University of the Ryukyus

  • Harvey N, Woodroffe CD (2008) Australian approaches to coastal vulnerability assessment. Sustain Sci 3:67–87

    Article  Google Scholar 

  • Hashim R, Kamali B, Tamin NM, Zakaria R (2010) An integrated approach to coastal rehabilitation: mangrove restoration in Sungai Haji Dorani, Malaysia. Estuar Coast Shelf Sci 86:118–124

    Article  Google Scholar 

  • Hawkins S, To PX, Phuong PX, Thuy PT, Tu ND, Cuong CV, Brown S, Dart P, Robertson S, Vu N, McNally R (2010) Roots in the water: legal frameworks for mangrove PES in Vietnam. Katoomba Group’s Legal Initiative Country Study Series. Forest Trends, Washington, DC

    Google Scholar 

  • Hegde AV, Reju VR (2007) Development of coastal vulnerability index for Mangalore Coast, India. J Coastal Res 23:1106–1111

    Article  Google Scholar 

  • Hieu TT, Trinh LP, Thinh TQ (2005) Status and forecast of dynamics of shorelines in coastal and river zones Vietnam (Vietnamese Version)

  • Kathiresan K (2003) How do mangrove forests induce sedimentation? Int J Trop Biol Conserv 51:355–360

    CAS  Google Scholar 

  • Kien Giang People’s Committee (2005) Decision: Regulations on the use, plantations and protection of coastal mangrove forests in Kien Giang Province (Translation from Vietnamese version). Decision 51/2005/QD-UBND

  • Kien Giang People’s Committee (2011) Decision: Regulations on the use, plantations and protection of coastal mangrove forests in Kien Giang Province (Translation from Vietnamese version). Decision 25/2011/QD-UBND

  • Kirwan ML, Murray AB (2007) A coupled geomorphic and ecological model of tidal marsh evolution. Natl Acad Sci USA 104:6118–6122

    Article  CAS  Google Scholar 

  • Komar PD, Diaz-mandez GM, Marra JJ (2001) Stability of the New River Spit and position of Oregon’s beach zone line. Coast Res 17:625–635

    Google Scholar 

  • Lam-Dao N, Pham-Bach V, Nguyen-Thanh M, Pham-Thi MT, Hoang-Thi P (2011) Change detection of land-use and riverbank in Mekong delta, Vietnam, using time-series remote sensed data. J Resour Ecol 2:370–374

    Google Scholar 

  • Manly BFJ, McDonald LL, Thomas DL, McDonald TL, Erickson WP (2002) Resource selection by animals: statistical design and analysis for field studies, 2nd edn. Kluwer Academic Publishers, Boston

    Google Scholar 

  • Masselink G, Hughes MG (2003) Introduction to coastal processes and geomorphology. Oxford University Press, Oxford

    Google Scholar 

  • Mazda Y, Magi M, Nanao H, Kogo M, Miyagi T (2002) Coastal erosion due to long-term human impacts on mangrove forests. Wetlands Ecol Manage 10:1–9

    Article  Google Scholar 

  • McCulloch CE, Searle SR (2001) Generalised, linear and mixed models. Wiley, New York

    Google Scholar 

  • Moore LJ, Benumof BT, Griggs GB (1999) Coastal erosion harzards in Santa Cruz and San Diego. Coas Res 28:121–139

    Google Scholar 

  • Mudd SM, D’Alpaos A, Morris JT (2010) How does vegetation affect sedimentation on tidal marshes? Investigating particle capture and hydrodynamic controls on biologically mediated sedimentation. J Geophys Res 115:1–14

    Google Scholar 

  • Olaniyi AO, Abdullah AM, Ramli MF, Alias MS (2012) Assessment of drivers of coastal land-use change in Malaysia. Ocean Coast Manag 67:113–123

    Article  Google Scholar 

  • Ozyurt G, Ergin A (2010) Improving coastal vulnerability assessments to sea-level rise: a new indicator-based methodology for decision makers. J Coast Res 26:265–273

    Article  Google Scholar 

  • Pendleton EA, Thieler ER, Williams SJ (2010) Importance of coastal change variables in determining vulnerability to sea and lake level change. J CoastRes 26:176–183

    Article  Google Scholar 

  • Pinheiro J, Bates D (2000) Mixed effects models in S and S-Plus. Springer-Verlag, New York, USA

    Book  Google Scholar 

  • Primavera JH (1995) Mangroves and brackish water pond culture in the Philippines. Hydrobiologia 295:303–309

    Article  Google Scholar 

  • Rhodes JR, McAlpine CA, Zuur AF, Smith GM, Ieno EN (2009) GLMM applied on the spatial distribution of koalas in a fragmented landscape. In: Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smith GM (eds) Mixed effects models and extensions in ecology with R. Springer, NewYork, pp 469–492

    Google Scholar 

  • Saito Y, Alino PM (2008) Region conditions. In: Mimura N (ed) Asia-Pacific coasts and their management: states of environment. Springer, Netherlands, pp 255–331

    Chapter  Google Scholar 

  • Shahbudin S, Zuhairi A, Kamaruzzaman BY (2012) Impact of coastal development on mangrove cover in Kilim river, Langkawi Island, Malaysia. J For Res 23:185–190

    Article  Google Scholar 

  • Shilun Y (1999) A study of coastal morphodynamics on the Muddy Island in the Changjiang River Estuary. J Coast Res 15:32–44

    Google Scholar 

  • Smith AG, McAlpine C, Rhodes JR, Seabrook L, Baxter G, Lunney D, Bradley A (2012) At what spatial scales does resource selection vary? A case study of Koalas n a semi-arid region. Austral Ecol. doi:10.1111/j.1442-9993.2012.02396.x

  • Son NT, Tu NA (2008) Determinants of land-use change: a case study from the lower Mekong Delta of southern Vietnam. Electron Green J 1:1–12

    Google Scholar 

  • Tamin NM, Zakainah R, Hashim R, Yin Y (2011) Establishment of Avicennia marina mangroves on accreting coastline at Sungai Haji Dorani, Selangor, Malaysia. Estuar Coast Shelf Sci 94:334–342

    Article  Google Scholar 

  • Thampanya U, Vermaat J, Sinsakul S, Panapitukkul P (2006) Coastal erosion and mangrove propagation of Southern Thailand. Estuar Coast Shelf Sci 68:75–85

    Article  Google Scholar 

  • Thieler ER, Himmelstoss EA, Zichichi JL, Ergul A (2009) Digital Shoreline Analysis System (DSAS) version 4.0-An ArcGIS extension for calculating shoreline change, U.S. Geological Survey Open-File Report 2008-1278

  • Thu PM, Populus J (2007) Status and changes of mangroves in Tra Vinh, Vietnam. Estuar Coast Shelf Sci 71:98–109

    Article  Google Scholar 

  • Valiela I, Bowen JL, York JK (2001) Mangrove forests: one of the world’s threatened major tropical environments. Bioscience 51:807–815

    Article  Google Scholar 

  • Yin J, Yin Z, Wang J, Xu S (2012) National assessment of coastal vulnerability to sea-level rise for the Chinese coast. J Coast Conserv 16:123–133

    Article  Google Scholar 

  • Zuur A, Ieno EN, Walker N, Saveliev AA, Smith GM (2009) Mixed effects models and extensions in ecology with R. Springer, Berlin

    Book  Google Scholar 

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Acknowledgments

We are thankful to the School of Geography, Planning and Environmental Management the University of Queensland, Australia for funding field work and providing facilities to carry out this study. We are also grateful to GIZ Kien Giang and Kien Giang authorities for allowing us to conduct study in mangrove forests and supplying us with all logistics support.

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Correspondence to Hai-Hoa Nguyen.

Appendices

Appendix 1

See Table 5.

Table 5 Summary of coastal datasets used in generalized linear mixed-effects modeling, derived from Duke and others (2010), pp 34–37

Appendix 2: Coastal Erosion Severity Classification

The classification of coastal erosion severity to coastal land cover, adjacent shoreline land use and adjacent coastal development in this study was adapted from Pendleton and others (2010), Ozyurt and Ergin (2010) and Hai-Hoa and others (2010a, b) with appropriate modification for study sites. The ranges from 1 to 5 for coastal erosion severity were based on coastal shorelines experiencing with erosion and accretion rates derived from the GIS application. The negative and positive values indicated the intensity of erosion and accretion, respectively. As a result, the rates of coastal change were less than or equal to −2.0 m year−1, assigned as very high severity (5), −2.0 < rate ≤ −1.0 year−1 as high severity (4), −1.0 < rate ≤ 1.0 year−1 as moderate severity (3), 1.0 < rate ≤ 2.0 year−1 as low severity (2), and rate > 2.0 year−1 as very low severity (1).

Appendix 3

See Table 6.

Table 6 Erosion severity rankings to adjacent land use in Hon Dat (expressed in length, km)

In this Appendix, an overall classification of coastal erosion is relatively low severity to adjacent shoreline land uses and adjacent coastal development. Indeed, the percentage of coastal sections with rankings of very high (5) and high severities (4) over study sites was 15.5 %, equivalent to 8.0 km. The remaining length of coastal sections (43.4 km) was ranked as moderate, low, and very low severities to adjacent land uses and adjacent coastal development, making up 84.5 % of total surveyed coastline (50.3 km).

Appendix 4

See Table 7.

Table 7 Generalized linear mixed-effects modeling used to calculate the rates of coastal shoreline change

Appendix 5

See Fig. 7.

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Nguyen, HH., McAlpine, C., Pullar, D. et al. Drivers of Coastal Shoreline Change: Case Study of Hon Dat Coast, Kien Giang, Vietnam. Environmental Management 55, 1093–1108 (2015). https://doi.org/10.1007/s00267-015-0455-7

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