Geospatial modelling of the inundation levels in the Sundarbans mangrove forests due to the impact of sea level rise and identification of affected species and regions

References

• Alam, M. 2003. Bangladesh country case study. National Adaptation Programme of Action (NAPA) Workshop.
   Google Scholar
• Barbier EB, Koch EW, Silliman BR, Hacker SD, Wolanski E, Primavera J, Granek EF, Polasky S, Aswani S, Cramer LA, et al. 2008. Coastal ecosystem-based management with nonlinear ecological functions and values. Science 319(5861):321–323.
   Google Scholar
• Bindoff N, Willebrand J, Artale V, Cazenave A, Gregory J, Gulev S, Hanawa K, Le Quere C, Levitus S, Nojiri Y. 2007. Observations: oceanic climate and sea level. In: Climate change 2007: The physical Science Basis. Contribution of Working Group I to the Fourth Assessment report of the Intergouvernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press; p.385–432.
   Google Scholar
• Brown S, Nicholls R. 2015. Subsidence and human influences in mega deltas: the case of the Ganges–Brahmaputra–Meghna. Science of the Total Environment. 527:362–374.
   Google Scholar
• Chaffey DR, Miller F, Sandom J. 1985. A forest inventory of the Sundarbans, Bangladesh. Surrey, U.K: Land Resources Development Centre.
   Google Scholar
• Chatenoux B, Peduzzi P. 2007. Impacts from the 2004 Indian Ocean Tsunami: analysing the potential protecting role of environmental features. Nat Hazards. 40(2):289–304.
   Google Scholar
• Chowdhury S, Faruqee R. 2000. Bangladesh-Climate Change and Sustainable Development. World Bank Report.(21104-BD).
   Google Scholar
• Church JA, Clark PU, Cazenave A, Gregory JM, Jevrejeva S, Levermann A, Merrifield MA, Milne GA, Nerem RS, Nunn PD. 2013. Sea level change. Cambridge, UK: PM Cambridge University Press.
   Google Scholar
• Colette A. 2013. Case studies on climate change and World Heritage. Paris: UNESCO Publishing.
   Google Scholar
• Congalton RG, Green K. 2008. Assessing the accuracy of remotely sensed data: principles and practices. Boca Raton, FL: CRC press.
   Google Scholar
• Costanza R, d'Arge R, De Groot R, Faber S, Grasso M, Hannon B, Limburg K, Naeem S, O'neill RV, Paruelo J. 1997. The value of the world's ecosystem services and natural capital. Nature. 387(6630): 253.
   Google Scholar
• Das S, Vincent JR. 2009. Mangroves protected villages and reduced death toll during Indian super cyclone. Proceedings of the National Academy of Sciences. 106(18):7357–7360.
   Google Scholar
• Doyle TW, Krauss KW, Conner WH, From AS. 2010. Predicting the retreat and migration of tidal forests along the northern Gulf of Mexico under sea-level rise. Forest Ecology and Management. 259(4):770–777.
   Google Scholar
• El-Nahry AH, Doluschitz R. 2010. Climate change and its impacts on the coastal zone of the Nile Delta, Egypt. Environ Earth Sci. 59(7):1497–1506.
   Google Scholar
• Emch M, Peterson M. 2006. Mangrove forest cover change in the Bangladesh Sundarbans from 1989-2000: A remote sensing approach. Geocarto International. 21(1):5–12.
   Google Scholar
• Eslami-Andargoli L, Dale P, Sipe N, Chaseling J. 2009. Mangrove expansion and rainfall patterns in Moreton Bay, southeast Queensland, Australia. Estuarine, Coastal and Shelf Science. 85(2):292–298.
   Google Scholar
• Ewel K, Twilley R, Ong J. 1998. Different kinds of mangrove forests provide different goods and services. Global Ecology & Biogeography Letters. 7(1):83–94.
   Google Scholar
• FAO. 2007. The world's mangroves 1980-2005. A Thematic Study Prepared in the Framework of the Global Forest Resources Assessment. FAO Forestry Paper, 89. Rome: Food and Agriculture Organization of the United Nations.
   Google Scholar
• Field, CD. 1995. Impact of expected climate change on mangroves. Asia-Pacific Symposium on Mangrove Ecosystems. Dordrecht: Springer.
   Google Scholar
• Gao J. 1999. A comparative study on spatial and spectral resolutions of satellite data in mapping mangrove forests. Int J Remote Sens. 20(14):2823–2833.
   Google Scholar
• Geselbracht L, Freeman K, Kelly E, Gordon DR, Putz FE. 2011. Retrospective and prospective model simulations of sea level rise impacts on Gulf of Mexico coastal marshes and forests in Waccasassa Bay, Florida. Climat Change. 107(1–2):35–57.
   Google Scholar
• Ghosh A, Schmidt S, Fickert T, Nüsser M. 2015. The Indian Sundarban Mangrove Forests: history, utilization, conservation strategies and local perception. Diversity. 7(2):149–169.
   Google Scholar
• Ghosh MK, Kumar L, Roy C. 2016. Mapping long-term changes in mangrove species composition and distribution in the Sundarbans. Forests. 7(12):305.
   Google Scholar
• Ghosh MK, Kumar L, Roy C. 2017. Climate variability and mangrove cover dynamics at species level in the Sundarbans, Bangladesh. Sustainability. 9(5):805.
   Google Scholar
• Gilman E. 2004. Assessing and managing coastal ecosystem response to projected relative sea-level rise and climate change. Prepared for the International Research Foundation for Development Forum on Small Island Developing States: Challenges, Prospects and International Cooperation for Sustainable Development. Contribution to the Barbados. Port Louis, Mauritius, p 28.
   Google Scholar
• Gilman EL, Ellison J, Duke NC, Field C. 2008. Threats to mangroves from climate change and adaptation options: a review. Aquatic Botany. 89(2):237–250.
   Google Scholar
• Giri C, Pengra B, Zhu Z, Singh A, Tieszen LL. 2007. Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000. Estuarine, Coastal and Shelf Science. 73(1–2):91–100.
   Google Scholar
• Glaser M. 2003. Interrelations between mangrove ecosystem, local economy and social sustainability in Caeté Estuary, North Brazil. Wetlands Ecology and Management. 11(4):265–272.
   Google Scholar
• Gravelle G, Mimura N. 2008. Vulnerability assessment of sea-level rise in Viti Levu, Fiji Islands. Sustain Sci. 3(2):171–180.
   Google Scholar
• Green EP, Clark CD, Mumby PJ, Edwards AJ, Ellis A. 1998. Remote sensing techniques for mangrove mapping. Int J Remote Sens. 19(5):935–956.
   Google Scholar
• Hazra S, Ghosh T, DasGupta R, Sen G. 2002. Sea level and associated changes in the Sundarbans. Science and Culture. 68(9/12):309–321.
   Google Scholar
• Islam MS, Tooley M. 1999. Coastal and sea-level changes during the Holocene in Bangladesh. Quaternary International. 55(1):61–75.
   Google Scholar
• Islam SN, Gnauck A. 2011. Water salinity investigation in the Sundarbans rivers in Bangladesh. IJW 6(1/2):74–91.
   Google Scholar
• Ismail H, Wahab AA, Alias N. 2012. Determination of mangrove forest performance in reducing tsunami run-up using physical models. Nat Hazards. 63(2):939–963.
   Google Scholar
• Jevrejeva S, Grinsted A, Moore JC. 2014. Upper limit for sea level projections by 2100. Environ Res Lett. 9(10):104008.
   Google Scholar
• Kassakian J, Jones A, Martinich J, Hudgens D. 2017. Managing for no net loss of ecological services: an approach for quantifying loss of coastal wetlands due to sea level rise. Environ Manage. 59(5):736–751.
   Google Scholar
• Kathiresan K. 2012. Importance of mangrove ecosystem. Int J Marine Sci. 2(1): 70-89
   Google Scholar
• Keim B, Doyle T, Burkett V, Van Heerden I, Binselam S, Wehner M, Tebaldi C, Houston T, Beagan D. 2008. How is the Gulf Coast climate changing? Impacts of climate change and variability on transportation systems and infrastructure: Gulf Coast study. Phase I A Report by the US Climate Change Science Program and the Subcommittee on Global Change Research.3-1 to 3–331.
   Google Scholar
• LaFever DH, Lopez RR, Feagin RA, Silvy NJ. 2007. Predicting the impacts of future sea-level rise on an endangered lagomorph. Environ Manage. 40(3):430–437.
   Google Scholar
• Levermann A, Winkelmann R, Nowicki S, Fastook JL, Frieler K, Greve R, Hellmer HH, Martin MA, Meinshausen M, Mengel M, et al. 2014. Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models. Earth Syst Dynam. 5(2):271.
   Google Scholar
• Li X, Rowley RJ, Kostelnick JC, Braaten D, Meisel J, Hulbutta K. 2009. GIS analysis of global impacts from sea level rise. Photogramm Eng Remote Sensing. 75(7):807–818.
   Google Scholar
• Loucks C, Barber-Meyer S, Hossain MAA, Barlow A, Chowdhury RM. 2010. Sea level rise and tigers: predicted impacts to Bangladesh’s Sundarbans mangroves. Climatic Change. 98(1–2):291.
   Google Scholar
• Lovelock CE, Cahoon DR, Friess DA, Guntenspergen GR, Krauss KW, Reef R, Rogers K, Saunders ML, Sidik F, Swales A, et al. 2015. The vulnerability of Indo-Pacific mangrove forests to sea-level rise. Nature. 526(7574):559–563.
   Google Scholar
• Malik A, Abdalla R. 2016. Geospatial modeling of the impact of sea level rise on coastal communities: application of Richmond, British Columbia, Canada. Modeling Earth Systems and Environment. 2(3):146.
   Google Scholar
• Natesan U, Parthasarathy A. 2010. The potential impacts of sea level rise along the coastal zone of Kanyakumari District in Tamilnadu, India. J Coast Conserv. 14(3):207–214.
   Google Scholar
• Pachauri RK, Allen MR, Barros VR, Broome J, Cramer W, Christ R, Church JA, Clarke L, Dahe Q, Dasgupta P. 2014. Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change. IPCC.
   Google Scholar
• Payo A, Mukhopadhyay A, Hazra S, Ghosh T, Ghosh S, Brown S, Nicholls RJ, Bricheno L, Wolf J, Kay S, et al. 2016. Projected changes in area of the Sundarban mangrove forest in Bangladesh due to SLR by 2100. Climatic Change. 139(2):279–291.
   Google Scholar
• Polidoro BA, Carpenter KE, Collins L, Duke NC, Ellison AM, Ellison JC, Farnsworth EJ, Fernando ES, Kathiresan K, Koedam NE, et al. 2010. The loss of species: mangrove extinction risk and geographic areas of global concern. PloS One. 5(4):e10095.
   Google Scholar
• Rahmstorf S. 2007. A semi-empirical approach to projecting future sea-level rise. Science. 315(5810):368–370.
   Google Scholar
• Sarker SK, Reeve R, Thompson J, Paul NK, Matthiopoulos J. 2016. Are we failing to protect threatened mangroves in the Sundarbans world heritage ecosystem? Sci Rep. 6:21234
   Google Scholar
• Sarwar MGM. 2005. Impacts of sea level rise on the coastal zone of Bangladesh. http://staticweadaptorg/placemarks/files/225/golam_sarwarpdf.
   Google Scholar
• Sinha P, Kumar L, Drielsma M, Barrett T. 2014. Time-series effective habitat area (EHA) modeling using cost-benefit raster based technique. Ecol Informatics. 19:16–25.
   Google Scholar
• Smrc T. 2003. The vulnerability assessment of the SAARC coastal region due to sea level rise: Bangladesh case. Dhaka, Bangladesh: SAARC Meteorological Research Council (SMRC).
   Google Scholar
• Spalding M. 2010. World atlas of mangroves. Abingdon: Routledge.
   Google Scholar
• Strauss BH, Ziemlinski R, Weiss JL, Overpeck JT. 2012. Tidally adjusted estimates of topographic vulnerability to sea level rise and flooding for the contiguous United States. Environ Res Lett. 7(1):014033.
   Google Scholar
• Treygo W, Dean PB. 1989. The Environment and Development in Bangladesh: An Overview and Strategy for the Future. Canadian International Development Agency.
   Google Scholar
• Uddin MS, van Steveninck ER, Stuip M, Shah MAR. 2013. Economic valuation of provisioning and cultural services of a protected mangrove ecosystem: a case study on Sundarbans Reserve Forest, Bangladesh. Ecosystem Services. 5:88–93.
   Google Scholar
• Warrick, RA, Cox, G. 2007. New developments of SimCLIM software tools for risk-based assessments of climate change impacts and adaptation in the water resource sector. Proceedings of the 3rd International Conference on Climate and Water; 2007. Finish Environmental Institute (SYKE).
   Google Scholar