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Assessment of livelihood vulnerability in the riparian region of the Tista River, West Bengal, India

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The Tista floodplain is one of the major food baskets of North Bengal and is sensitive to a multitude of issues regarding vulnerability. The riparian areas and the river island or charland of the lower Tista River basin in India, specifically from Sevoke to the Indo-Bangladesh border, generally suffer due to flood-prone, river course shifting, limited livelihood activities, low adaptive capacity, and poor accessibility. The present work is conducted to assess the livelihood vulnerability based on the livelihood vulnerability index (LVI) framework of the agriculture-dependent riparian villages and the charlands of the River Tista in the Jalpaiguri district. Total 337 households of five villages from the Mal and Maynaguri block at the left bank of the Tista River were selected to conduct the field survey. The livelihood vulnerability was assessed based on eight major components (viz., socio-demographic profile, health condition, livelihood strategies, food support, water support, climatic variability, flood hazards, and social safety) and 42 sub-components. The three contributing factors, i.e., adaptive capacity, sensitivity, and exposure, have been combined to calculate the livelihood vulnerability employing the LVI and LVI-IPCC methodologies. The outcome of the study exhibit that LVI scored highest in Premganj Majhiali (0.436), followed by Basusuba (0.403), Uttar Marichbari (0.349), Domohani (0.335), and Chat Rarpur village (0.328). According to the LVI-IPCC results, Basusuba has the most vulnerability (0.015), whereas Domohani has the least (0.007). In terms of flood hazard, variations were noticed based on increasing distance from the river. Lack of adaptive capacity prevailed in the villages with significant flooding events. Building awareness of the inhabitants will be an effective way to improve the adaptive capacity of the rural villagers. Therefore, giving priority to the policies depending on the natural environment of the active flood-prone region would make long-term sustainability.

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References

  • Adhikari, S., & Kamle, S. (2021). Governance and management of Teesta River water resources: A geopolitical appraisal. In Resource management, sustainable development and governance (pp. 249–266). Springer. https://doi.org/10.1007/978-3-030-85839-1_15.

  • Agarwal, A., & Narain, S. (1991). Floods, flood plain and environmental myths (State of India’s Environment: A Citizens’ Report, 3). Centre for Science and Environment.

  • Ahmad, D., & Afzal, M. (2021). Flood hazards, human displacement and food insecurity in rural riverine areas of Punjab, Pakistan: Policy implications. Environmental Science and Pollution Research, 28(8), 10125–10139. https://doi.org/10.1007/s11356-020-11430-7

    Article  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. https://doi.org/10.1016/j.ijdrr.2013.12.009

    Article  Google Scholar 

  • Alam, G. M., Alam, K., Mushtaq, S., & Clarke, M. L. (2017). Vulnerability to climatic change in riparian char and river-bank households in Bangladesh: Implication for policy, livelihoods and social development. Ecological Indicators, 72, 23–32. https://doi.org/10.1016/j.ecolind.2016.06.045

    Article  Google Scholar 

  • Balica, S. F., Wright, N. G., & Van der Meulen, F. (2012). A flood vulnerability index for coastal cities and its use in assessing climate change impacts. Natural Hazards, 64(1), 73–105. https://doi.org/10.1007/s11069-012-0234-1

    Article  Google Scholar 

  • Banik, S. (2016). Socio-economic Impact of Gazaldoba Teesta Multiple River Valley Project. The Journal of Social Environment, V(IV), 7–18.

    Google Scholar 

  • Bhawal, P. (2016). Social and Cultural History of a Bengal District, Jalpaiguri (1869–1994). Thesis, Department of History, University of North Bengal, Siliguri, Darjeeling. https://shodhganga.inflibnet.ac.in/handle/10603/175225

  • Blaikie, P., Cannon, T., Davis, I., & Wisner, B. (1994). At risk: Natural hazards, people’s vulnerability, and disasters. Routledge.

    Google Scholar 

  • Brenna, A., Marchi, L., Borga, M., Ghinassi, M., Zaramella, M., & Surian, N. (2021). Sediment–water flows in mountain catchments: Insights into transport mechanisms as responses to high-magnitude hydrological events. Journal of Hydrology, 602, 126716. https://doi.org/10.1016/j.jhydrol.2021.126716

    Article  Google Scholar 

  • Census of India. (2011). District Census Handbook (DCH). Jalpaiguri, Village and Town Directory, Directorate of Census Operations, West Bengal, Govt. of India, New Delhi, Series-20, Part XII-A (pp. 103–396).

  • Chakraborty, K., Mitra, R., Saha, S., & Mandal, D.K. (2018). Identification of landslide prone areas in Tista catchment through landslide susceptibility mapping, West Bengal. In S. Sarkar (Ed.), Disaster management in sub-Himalayan North Bengal, Monograph, UGC-SAP DRS-II (pp. 1–11).

  • Chakraborty, S., & Dutta, K. (2012). Causes and consequence of geomorphic hazards, a hydro-geomorphic analysis in Duars Region, India. Indian Journal of Geomorphology, 17(2), 113–126.

    Google Scholar 

  • Chambers, R., & Conway, G. (1992). Sustainable rural livelihoods: Practical concepts for the 21st century. Institute of Development Studies.

  • Cochran, W. G. (1963). Sampling techniques (2nd ed.). Wiley.

    Google Scholar 

  • Corbett, J. (1988). Famine and household coping strategies. World Development, 16(9), 1099–1112. https://doi.org/10.1016/0305-750X(88)90112-X

    Article  Google Scholar 

  • Cramer, W., Guiot, J., Fader, M., Garrabou, J., Gattuso, J. P., Iglesias, A., et al. (2018). Climate change and interconnected risks to sustainable development in the Mediterranean. Nature Climate Change, 8(11), 972–980. https://doi.org/10.1038/s41558-018-0299-2

    Article  Google Scholar 

  • Cutter, S. L., Boruff, B. J., & Shirley, L. W. (2003). Social vulnerability to environmental hazards. Social Science Quarterly, 84, 242–261.

    Article  Google Scholar 

  • Das, S. (2011). Changing Environment of the Teesta Basin in Darjeeling Himalaya. Ph.D. Thesis, University of Calcutta, pp. 79–136. http://shodhganga.inflibnet.ac.in/handle/10603/168389

  • Das, M., Das, A., Momin, S., & Pandey, R. (2020). Mapping the effect of climate change on community livelihood vulnerability in the riparian region of Gangatic Plain, India. Ecological Indicators, 119, 106815. https://doi.org/10.1016/j.ecolind.2020.106815

    Article  Google Scholar 

  • Das, S. (2021). Hydro-geomorphic characteristics of the Indian (Peninsular) catchments: Based on morphometric correlation with hydro-sedimentary data. Advances in Space Research, 67(8), 2382–2397. https://doi.org/10.1016/j.asr.2021.01.043

    Article  Google Scholar 

  • Demographic and Health Surveys (DHS). (2006). Measure DHS: Model questionnaire with commentary. Basic Documentation 2, DHS, Calverton.

  • Dietz, T., Shwom, R. L., & Whitley, C. T. (2020). Climate change and society. Annual Review of Sociology, 46, 135–158.

    Article  Google Scholar 

  • District Disaster Management Plan, Jalpaiguri. (2018). http://wbdmd.gov.in/writereaddata/uploaded/DP/DPJalpaiguri82636.pdf

  • Food and Agriculture Organisation (FAO). (2006). Livelihood adaptation to climate variability and change in drought-prone areas of Bangladesh. FAO.

    Google Scholar 

  • Fuchs, S., Birkmann, J., & Glade, T. (2012). Vulnerability assessment in natural hazard and risk analysis: Current approaches and future challenges. Natural Hazards, 64(3), 1969–1975. https://doi.org/10.1007/s11069-012-0352-9

    Article  Google Scholar 

  • Ghosh, M., & Ghosal, S. (2021). Climate change vulnerability of rural households in flood-prone areas of Himalayan foothills, West Bengal, India. Environment, Development and Sustainability, 23(2), 2570–2595. https://doi.org/10.1007/s10668-020-00687-0

    Article  Google Scholar 

  • Goyal, M., Haythornthwaite, J., Levine, D., Becker, D., Vaidya, D., Hill-Briggs, F., & Ford, D. (2010). Intensive meditation for refractory pain and symptoms. The Journal of Alternative and Complementary Medicine, 16(6), 627–631. https://doi.org/10.1089/acm.2009.0372

    Article  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. https://doi.org/10.1016/j.gloenvcha.2008.11.002

    Article  Google Scholar 

  • Huong, N. T. L., Yao, S., & Fahad, S. (2019). Assessing household livelihood vulnerability to climate change: The case of Northwest Vietnam. Human and Ecological Risk Assessment: An International Journal, 25(5), 1157–1175. https://doi.org/10.1080/10807039.2018.1460801

    Article  Google Scholar 

  • International Institute for Population Sciences (IIPS) & ORC Macro. (2007). National Family Health Survey (NFHS) III, 2005–2006, India (Vol. 1). IIPS.

  • Islam, M. A., Parvin, S., & Farukh, M. A. (2017). Impacts of riverbank erosion hazards in the Brahmaputra floodplain areas of Mymensingh in Bangladesh. Progressive Agriculture, 28(2), 73–83.

    Article  Google Scholar 

  • Lees, S. H., & Bates, D. G. (1990). The ecology of cumulative change. In The ecosystem approach in anthropology (pp. 247–278). University of Michigan Press.

  • Madhuri, Tewari, H. R., & Bhowmick, P. K. (2014). Livelihood vulnerability index analysis: An approach to study vulnerability in the context of Bihar. Journal of Disaster Risk Studies, 6(1), Art. #127.

  • Mahmood, S., & Hamayon, K. (2021). Geo-spatial assessment of community vulnerability to flood along the Ravi River, Ravi Town, Lahore. Pakistan. Natural Hazards, 106(3), 2825–2844. https://doi.org/10.1007/s11069-021-04568-1

    Article  Google Scholar 

  • Majumdar, S., Das, A., & Mandal, S. (2022) River bank erosion and livelihood vulnerability of the local population at Manikchak block in West Bengal, India (pp. 1–38). Environment, Development and Sustainability. https://doi.org/10.1007/s10668-021-02046-z

  • Mitra, R., & Roy, D. (2022). Delineation of groundwater potential zones through the integration of remote sensing, geographic information system, and multi-criteria decision-making technique in the sub-Himalayan foothills region, India. International Journal of Energy and Water Resources. https://doi.org/10.1007/s42108-022-00181-5

    Article  Google Scholar 

  • Mondal, M. S. H., Murayama, T., & Nishikizawa, S. (2020). Assessing the flood risk of riverine households: A case study from the right bank of the Teesta River, Bangladesh. International Journal of Disaster Risk Reduction, 51, 101758. https://doi.org/10.1016/j.ijdrr.2020.101758

    Article  Google Scholar 

  • Mukherjee, B., & Saha, U. D. (2016). Teesta barrage project—a brief review of unattained goals and associated changes. International Journal of Science and Research (IJSR), 5(5), 2027–2032.

    Google Scholar 

  • Mukherjee, K. N. (1996). Agricultural land capability of West Bengal (pp. 7–56). Ma Sitala Composing Works.

    Google Scholar 

  • Mukherjee, N., & Siddique, G. (2020). Assessment of climatic variability risks with application of livelihood vulnerability indices. Environment, Development and Sustainability, 22(6), 5077–5103. https://doi.org/10.1007/s10668-019-00415-3

    Article  Google Scholar 

  • Mukherjee, N., Siddique, G., Basak, A., Roy, A., & Mandal, M. H. (2019). Climate change and livelihood vulnerability of the local population on Sagar Island, India. Chinese Geographical Science, 29(3), 417–436. https://doi.org/10.1007/s11769-019-1042-2

    Article  Google Scholar 

  • Mukhopadhyay, S. (2010). A geo-environmental assessment of flood dynamics in lower Ajoy River inducing sand splay problem in Eastern India. Ethiopian Journal of Environmental Studies and Management. https://doi.org/10.4314/ejesm.v3i2.59841

    Article  Google Scholar 

  • Mukhopadhyay, S. C. (1982). The Tista Basin, a study in fluvial geomorphology (1st ed., pp. 1–230). K. P. Bagchi and Company.

  • Nhuan, M. T., Tue, N. T., Hue, N. T. H., Quy, T. D., & Lieu, T. M. (2016). An indicator-based approach to quantifying the adaptive capacity of urban households: The case of Da Nang city, Central Vietnam. Urban Climate, 15, 60–69. https://doi.org/10.1016/j.uclim.2016.01.002

    Article  Google Scholar 

  • Noy, I., & Yonson, R. (2018). Economic vulnerability and resilience to natural hazards: A survey of concepts and measurements. Sustainability, 10(8), 2850. https://doi.org/10.3390/su10082850

    Article  Google Scholar 

  • Omran, A., & Schwarz-Herion, O. (Eds.). (2018). The impact of climate change on our life: The questions of sustainability. Springer.

    Google Scholar 

  • Pal, R., Biswas, S. S., Mondal, B., & Pramanik, M. K. (2016). Landslides and floods in the Tista Basin (Darjeeling and Jalpaiguri Districts): Historical evidence, causes and consequences. The Journal of Indian Geophysical Union, 20(2), 66–72.

    Google Scholar 

  • Pandey, M. K., & Jha, A. K. (2012). Widowhood and health of elderly in India: Examining the role of economic factors using structural equation modeling. International Review of Applied Economics, 26(1), 111–124. https://doi.org/10.1080/02692171.2011.587109

    Article  Google Scholar 

  • Porfiriev, B., & Badina, S. (2019). Natural hazards governance in Russia. In Oxford research encyclopedia of natural hazard science. Oxford University Press.

  • Rana, I. A., & Routray, J. K. (2018). Integrated methodology for flood risk assessment and application in urban communities of Pakistan. Natural Hazards, 91(1), 239–266. https://doi.org/10.1007/s11069-017-3124-8

    Article  Google Scholar 

  • Roy, S. (2011). Flood hazards in Jalpaiguri District. Unpublished Ph.D. Thesis, Department of Applied Geography, University of North Bengal, Siliguri, Darjeeling. http://ir.nbu.ac.in/handle/123456789/1335

  • Roy, S., Bose, A., & Chowdhury, I. R. (2021). Flood risk assessment using geospatial data and multi-criteria decision approach: A study from historically active flood-prone region of Himalayan foothill, India. Arabian Journal of Geosciences, 14(11), 1–25. https://doi.org/10.1007/s12517-021-07324-8

    Article  Google Scholar 

  • Sarker, M. N. I., Wu, M., Alam, G. M., & Shouse, R. C. (2019). Livelihood vulnerability of riverine-island dwellers in the face of natural disasters in Bangladesh. Sustainability, 11(6), 1623.

    Article  Google Scholar 

  • Schneider, S. H. (2007). In M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden, & C. E. Hanson (Eds.), Climate Change 2007: Impacts adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 779–810). Cambridge University Press.

    Google Scholar 

  • Shah, K. U., Dulal, H. B., Johnson, C., & Baptiste, A. (2013). Understanding livelihood vulnerability to climate change: Applying the livelihood vulnerability index in Trinidad and Tobago. Geoforum, 47, 125–137. https://doi.org/10.1016/j.geoforum.2013.04.004

    Article  Google Scholar 

  • Singha, P., & Pal, S. (2021). Livelihood vulnerability assessment of the Island (Char) dwellers in the Ganges riparian corridor, India. GeoJournal. https://doi.org/10.1007/s10708-021-10461-y

    Book  Google Scholar 

  • Smith, K., & Ward, R. (1998). Floods, Physical Processes and Human Impacts (pp. 61–79). Wiley.

    Google Scholar 

  • Sullivan, C. (2002). Calculating a water poverty index. World Development, 30(7), 1195–1210. https://doi.org/10.1016/S0305-750X(02)00035-9

    Article  Google Scholar 

  • Toufique, K. A., & Islam, A. (2014). Assessing risks from climate variability and change for disaster-prone zones in Bangladesh. International Journal of Disaster Risk Reduction, 10, 236–249. https://doi.org/10.1016/j.ijdrr.2014.08.008

    Article  Google Scholar 

  • Wickramasinghe, D. (2021). Ecosystem-based disaster risk reduction. In Oxford research encyclopedia of natural hazard science. Oxford University Press.

  • World Bank. (1998). Survey of living conditions: Uttar Pradesh and Bihar—Household questionnaire, December 1997–March 1998. World Bank.

    Google Scholar 

  • Wu, S. Y., Yarnal, B., & Fisher, A. (2002). Vulnerability of coastal communities to sea-level rise: A case study of Cape May County, New Jersey, USA. Climate Research, 22(3), 255–270. https://doi.org/10.3354/cr022255

    Article  Google Scholar 

  • Xue, Y., & Huang, L. (2019). Factors influencing the livelihoods of ecological migrants in coal mined-out areas in China. Environment, Development and Sustainability, 21(4), 1853–1867. https://doi.org/10.1007/s10668-018-0106-2

    Article  Google Scholar 

  • Yadav, D. K., & Barve, A. (2017). Analysis of socioeconomic vulnerability for cyclone-affected communities in coastal Odisha, India. International Journal of Disaster Risk Reduction, 22, 387–396. https://doi.org/10.1016/j.ijdrr.2017.02.003

    Article  Google Scholar 

  • Yankson, P. W. K., Owusu, A. B., Owusu, G., Boakye-Danquah, J., & Tetteh, J. D. (2017). Assessment of coastal communities’ vulnerability to floods using indicator-based approach: A case study of Greater Accra Metropolitan Area. Ghana. Natural Hazards, 89(2), 661–689. https://doi.org/10.1007/s11069-017-2985-1

    Article  Google Scholar 

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Acknowledgements

The authors are thankful to the Department of Geography and Applied Geography, University of North Bengal, for contributing the essential resources in the present work. The authors also extend their sincere thanks to Dr. Jayanta Das for giving some additional support in the work. They are also grateful to the anonymous respondents who participated in the households survey for sharing their opinion. Barney Warf deserves the most profound gratitude for his excellent editorial assistance on this manuscript. The authors would like to thank the two anonymous reviewers for their insightful and constructive comments to improve the quality of this paper.

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Correspondence to Rajib Mitra.

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Mitra, R., Kumar Mandal, D. Assessment of livelihood vulnerability in the riparian region of the Tista River, West Bengal, India. GeoJournal 88, 811–839 (2023). https://doi.org/10.1007/s10708-022-10645-0

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