Assessing socio-economic vulnerability to climate change-induced disasters: evidence from Sundarban Biosphere Reserve, India

References

• Abid, M., Schilling, J., Scheffran, J., & Zulfiqar, F. (2016). Climate change vulnerability, adaptation and risk perceptions at farm level in Punjab, Pakistan. Science of the Total Environment, 547, 447–460.
   PubMed Web of Science ®Google Scholar
• Abuodha, P. A., & Woodroffe, C. D. (2010). Assessing vulnerability to sea-level rise using a coastal sensitivity index: A case study from southeast Australia. Journal of Coastal Conservation, 14(3), 189–205.
   Google Scholar
• Ahmed, R., Sajjad, H., & Husain, I. (2018). Morphometric parameters-based prioritization of sub-watersheds using fuzzy analytical hierarchy process: A case study of lower Barpani Watershed, India. Natural Resources Research, 27(1), 67–75.
   Web of Science ®Google Scholar
• Ahsan, M. N., & Warner, J. (2014). The socioeconomic vulnerability index: A pragmatic approach for assessing climate change led risks—A case study in the south-western coastal Bangladesh. International Journal of Disaster Risk Reduction, 8, 32–49.
   Web of Science ®Google Scholar
• Ayeb‐Karlsson, S., Kniveton, D., Cannon, T., van der Geest, K., Ahmed, I., Derrington, E. M., … Opondo, D. O. (2019). I will not go, I cannot go: Cultural and social limitations of disaster preparedness in Asia, Africa, and Oceania. Disasters, 43(4), 752–770.
   PubMed Web of Science ®Google Scholar
• Banerjee, K., Senthilkumar, B., Purvaja, R., & Ramesh, R. (2012). Sedimentation and trace metal distribution in selected locations of Sundarbans mangroves and Hooghly estuary, northeast coast of India. Environmental Geochemistry and Health, 34(1), 27–42.
   Web of Science ®Google Scholar
• Bhattacharjee, N. (2016). Links among drainage density, frequency and flooding in Nanoi Rivers Basin, Assam. International Journal of Interdisciplinary Research in Science Society and Culture, 2(1), 43–57.
   Google Scholar
• Blaikie, P., Cannon, T., Davis, I., & Wisner, B. (2005). At risk: Natural hazards, people’s vulnerability and disasters. Routledge, London and New York.
   Google Scholar
• Bohle, H. G., Downing, T. E., & Watts, M. J. (1994). Climate change and social vulnerability: Toward a sociology and geography of food insecurity. Global Environmental Change, 4(1), 37–48.
   Web of Science ®Google Scholar
• Bray, F., Jemal, A., Grey, N., Ferlay, J., & Forman, D. (2012). Global cancer transitions according to the Human Development Index (2008–2030): A population-based study. The Lancet Oncology, 13(8), 790–801.
   PubMed Web of Science ®Google Scholar
• Brooks, N. (2003). Vulnerability, risk and adaptation: A conceptual framework. Tyndall Centre for Climate Change Research Working Paper, 38(38), 1–16.
   Google Scholar
• Challinor, A. J., Simelton, E. S., Fraser, E. D. G., Hemming, D., & Collins, M. (2010). Increased crop failure due to climate change: Assessing adaptation options using models and socio-economic data for wheat in China. Environmental Research Letters, 5(3), 034012, (8pp).
   Web of Science ®Google Scholar
• Ciurean, R. L., Schroter, D., & Glade, T. (2013). Conceptual frameworks of vulnerability assessments for natural disasters reduction. In Approaches to disaster management—Examining the implications of hazards, emergencies and disasters. Tiefenbacher, J. (Ed.), (pp. 3-31). London, UK: IntechOpen.  doi:10.5772/55538
   Google Scholar
• Demel, M. S. V., Udayanga, N. W. B. A. L., Gajanayake, B., Hapuarachchi, B., & Perera, D. (2019). Developing a socioeconomic vulnerability index using two agricultural communities exposed to climate change: A case study in Wanathawilluwa in Puttlam District of Sri Lanka. Applied Economics & Business, 3(1), 70–79.
   Google Scholar
• Dintwa, K. F., Letamo, G., & Navaneetham, K. (2019). Measuring social vulnerability to natural hazards at the district level in Botswana. Jàmbá Journal of Disaster Risk Studies, 11(1). doi:10.4102/jamba.v11i1.447
   Google Scholar
• Dumenu, W. K., & Obeng, E. A. (2016). Climate change and rural communities in Ghana: Social vulnerability, impacts, adaptations and policy implications. Environmental Science & Policy, 55, 208–217.
   Web of Science ®Google Scholar
• Fekete, A. (2019). Social vulnerability (re-) assessment in context to natural hazards: Review of the usefulness of the spatial indicator approach and investigations of validation demands. International Journal of Disaster Risk Science, 10(2), 1–13.
   Web of Science ®Google Scholar
• Fischer, G., Shah, M. N., Tubiello, F., & Van Velhuizen, H. (2005). Socio-economic and climate change impacts on agriculture: An integrated assessment, 1990–2080. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1463), 2067–2083.
   PubMed Web of Science ®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
• Golladay, S. W., & Battle, J. (2002). Effects of flooding and drought on water quality in gulf coastal plain streams in Georgia. Journal of Environmental Quality, 31(4), 1266–1272.
   Web of Science ®Google Scholar
• Gopal, B., & Chauhan, M. (2006). Biodiversity and its conservation in the Sundarban mangrove ecosystem. Aquatic Sciences, 68(3), 338–354.
   Web of Science ®Google Scholar
• Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The livelihood vulnerability index: A pragmatic approach to assessing risks from climate variability and change—A case study in Mozambique. Global Environmental Change, 19(1), 74–88.
   Web of Science ®Google Scholar
• Hammersley, M. (2018). Routledge revivals: The dilemma of qualitative method (1989): Herbert Blumer and the Chicago tradition. Routledge, London. doi:10.4324/9781351037709
   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
• IPCC. (2007). Fourth assessment report. Intergovernmental Panel on Climate Change Secretariat. Geneva, Switzerland. Retrieved from https://www.ipcc.ch/pdf/assessment-report/ar4/wg2/ar4_wg2_full_report.pdf
   Google Scholar
• IPCC. (2018). Summary for policymakers. In V. Masson-Delmotte, P. Zhai, H. O. Pörtner, D. Roberts, J. Skea, P. R. Shukla, … T. Waterfield (Eds.), Global warming of 1.5°C. An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty (pp. 32). Geneva, Switzerland: World Meteorological Organization.
   Google Scholar
• Kelkar, U., Balachandra, P., & Gurtoo, A. (2011). Assessing Indian cities for vulnerability to climate change. In Proceedings of the 2nd international conference on environmental science and development IPCBEE (Vol. 4), IACSIT Press, Singapore.
   Google Scholar
• Kontogianni, A., Damigos, D., Kyrtzoglou, T., Tourkolias, C., & Skourtos, M. (2019). Development of a composite climate change vulnerability index for small craft harbours. Environmental Hazards, 18(2), 173–190.
   Web of Science ®Google Scholar
• Kumar, T. S., Mahendra, R. S., Nayak, S., Radhakrishnan, K., & Sahu, K. C. (2010). Coastal vulnerability assessment for Orissa State, east coast of India. Journal of Coastal Research, 263, 523–534.
   Google Scholar
• Luers, A. L., Lobell, D. B., Sklar, L. S., Addams, C. L., & Matson, P. A. (2003). A method for quantifying vulnerability, applied to the agricultural system of the Yaqui Valley, Mexico. Global Environmental Change, 13(4), 255–267.
   Web of Science ®Google Scholar
• Mahadevia Ghimire, K., & Vikas, M. (2012). Climate change—Impact on the Sundarbans, a case study. International Scientific Journal: Environmental Science, 2(1), 7–15.
   Google Scholar
• Malakar, K., & Mishra, T. (2017). Assessing socio-economic vulnerability to climate change: A city-level index-based approach. Climate and Development, 9(4), 348–363.
   Web of Science ®Google Scholar
• Manna, S., & Raychaudhuri, B. (2018). Mapping distribution of Sundarban mangroves using sentinel-2 data and new spectral metric for detecting their health condition. Geocarto International, 1–19, Accepted manuscript, doi:10.1080/10106049.2018.1520923.
   Web of Science ®Google Scholar
• Miettinen, R., Samra-Fredericks, D., & Yanow, D. (2009). Re-turn to practice: An introductory essay. Organization Studies, 30(12), 1309–1327.
   Web of Science ®Google Scholar
• Mitra, A., Banerjee, K., Sengupta, K., & Gangopadhyay, A. (2009). Pulse of climate change in Indian Sundarbans: A myth or reality? National Academy Science Letters (India), 32(1), 19.
   Web of Science ®Google Scholar
• Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., Van Vuuren, D. P., … Meehl, G. A. (2010). The next generation of scenarios for climate change research and assessment. Nature, 463, 747.
   PubMed Web of Science ®Google Scholar
• Mukhopadhyay, A. (2009). Cyclone Aila and the Sundarbans: An enquiry into the disaster and politics of aid and relief (pp. 18–20). Kolkata: Mahanirban Calcutta Research Group.
   Google Scholar
• Ogie, R. I., & Pradhan, B. (2019). Natural hazards and social vulnerability of place: The strength-based approach applied to Wollongong, Australia. International Journal of Disaster Risk Science, 10(3), 404–420.
   Web of Science ®Google Scholar
• Orencio, P. M. (2014). Developing and applying composite indicators for assessing and characterizing vulnerability and resilience of coastal communities to environmental and social change.
   Google Scholar
• Owusu, M., & Nursey-Bray, M. (2019). Socio-economic and institutional drivers of vulnerability to climate change in urban slums: The case of Accra, Ghana. Climate and Development, 11(8), 687–698.
   Web of Science ®Google Scholar
• Pandey, R., & Bardsley, D. K. (2015). Social-ecological vulnerability to climate change in the Nepali Himalaya. Applied Geography, 64, 74–86.
   Web of Science ®Google Scholar
• Papathoma-Köhle, M., Cristofari, G., Wenk, M., & Fuchs, S. (2019). The importance of indicator weights for vulnerability indices and implications for decision making in disaster management. International Journal of Disaster Risk Reduction, 36, 101103.
   Web of Science ®Google Scholar
• Raha, A., Das, S., Banerjee, K., & Mitra, A. (2012). Climate change impacts on Indian Sunderbans: A time series analysis (1924–2008). Biodiversity and Conservation, 21(5), 1289–1307.
   Web of Science ®Google Scholar
• Rygel, L., O’sullivan, D., & Yarnal, B. (2006). A method for constructing a social vulnerability index: An application to hurricane storm surges in a developed country. Mitigation and Adaptation Strategies for Global Change, 11(3), 741–764.
   Google Scholar
• Sahana, M., & Sajjad, H. (2019). Vulnerability to storm surge flood using remote sensing and GIS techniques: A study on Sundarban Biosphere Reserve, India. Remote Sensing Applications: Society and Environment, 13, 106–120.
   Google Scholar
• Sajjad, H., & Nasreen, I. (2016). Assessing farm-level agricultural sustainability using site-specific indicators and sustainable livelihood security index: Evidence from Vaishali district, India. Community Development, 47(5), 602–619.
   Web of Science ®Google Scholar
• Sam, A. S., Kumar, R., Kächele, H., & Müller, K. (2017). Quantifying household vulnerability triggered by drought: Evidence from rural India. Climate and Development, 9(7), 618–633.
   Web of Science ®Google Scholar
• Sathyan, A. R., Funk, C., Aenis, T., Winker, P., & Breuer, L. (2018). Sensitivity analysis of a climate vulnerability index—A case study from Indian watershed development programmes. Climate Change Responses, 5(1), 1.
   Google Scholar
• Slettebak, R. T. (2013). Climate change, natural disasters, and post-disaster unrest in India. India Review, 12(4), 260–279.
   Google Scholar
• Sorg, L., Medina, N., Feldmeyer, D., Sanchez, A., Vojinovic, Z., Birkmann, J., & Marchese, A. (2018). Capturing the multifaceted phenomena of socioeconomic vulnerability. Natural Hazards, 92(1), 257–282.
   Web of Science ®Google Scholar
• Sullivan, C. A., Meigh, J. R., & Fediw, T. S. (2002). Derivation and testing of the water poverty index phase 1. Final report may 2002. Retrieved from http://nora.nerc.ac.uk/id/eprint/503246
   Google Scholar
• Szlafsztein, C., & Sterr, H. (2007). A GIS-based vulnerability assessment of coastal natural hazards, state of Pará, Brazil. Journal of Coastal Conservation, 11(1), 53–66.
   Google Scholar
• Tian, Q., & Lemos, M. C. (2018). Household livelihood differentiation and vulnerability to climate hazards in rural China. World Development, 108, 321–331.
   Web of Science ®Google Scholar
• Twigg, J. (2004). Disaster risk reduction: Mitigation and preparedness in development and emergency programming, humanitarian practice network. London: Overseas Development Institute. Retrieved from https://www.preventionweb.net/educational/view/8450
   Google Scholar
• UNDP: United Nations Development Programme. (2019). NDC global outlook report 2019, The Heat Is On: Taking Stock of Global Climate Ambition. Retrieved from https://unfccc.int/news/the-heat-is-on-taking-stock-of-global-climate-ambition
   Google Scholar
• UNISDR. (2018). Reduction. Economic losses, poverty & disasters: 1998–2017. Retrieved from https://www.unisdr.org/we/inform/publications/61119
   Google Scholar
• Wisner, B., Gaillard, J. C., & Kelman, I. (2012). Framing disaster: Theories and stories seeking to understand hazards, vulnerability and risk. In Handbook of hazards and disaster risk reduction.Wisner, B., Gaillard, J. C., & Kelman, I. (Eds.), (pp. 47–62). London: Routledge.
   Google Scholar