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Spatial variation in livelihood security among livestock-based agricultural farming systems in climatically vulnerable Indian Sundarbans

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Abstract

Farm households in the UNESCO World Heritage site Sundarbans face serious problems, including increased soil salinity, frequent extreme weather events, seawater intrusion and flood damage, all of which cause distress to the livelihoods of the farm families. Policymakers commonly acknowledge livestock as a crucial resource for mitigating economic losses caused by crop failures due to extreme weather events. Despite Sundarbans’ vulnerability to extreme weather events, smallholder farmers’ livelihoods vary across the region. Identifying spatial livelihood variations aids in targeted strategies to address climate extremes. We chose the highest cow- and buffalo-populated blocks among the 19 blocks in the Sundarbans to assess variations in livelihood dimensions, including nutritional, economic, social and infrastructural security. We used dummy variable regression models to examine the differences in livelihood security dimensions among households living in different locations. The study found that Namkhana had the highest livelihood security score among the blocks studied, while Gosaba had the lowest score because it’s in a remote area with limited infrastructure. The study found a significant difference in the overall livelihood security score among the blocks we examined, indicating the need for a location-specific, cluster-based approach for the overall development of the Sundarbans. The study can shape a policy framework for socio-economic development in the Indian Sundarbans through its findings on location-specific livelihood security. For securing smallholder farmers’ livelihoods in the vulnerable Sundarbans region, policymakers must give priority to improving infrastructure, viz., roads, marketing facilities and animal healthcare centers.

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Data availability

The datasets generated during the study are not available in public domain to protect the interests of the farmers involved in the study. The data may be shared by the corresponding author on logical request.

References

  • Aggarwal, P. K., & Singh, A. K. (2010). Implications of global climatic change on water and food security. In C. Ringler, A. K. Biswas, & S. Cline (Eds.), Global Change: Impacts on Water and food Security (pp. 49–63). Springer. https://doi.org/10.1007/978-3-642-04615-5_3

  • Andharia, J. (2020). A web of vulnerabilities: Eco-fragility, poor livelihoods and cyclones in sundarban region, india. In J. Andharia (Ed.), Disaster Studies: Exploring Intersectionalities in Disaster Discourse (pp. 357–374). Springer. https://doi.org/10.1007/978-981-32-9339-7_17

  • Arrigoni, S., Bobasu, A., & Venditti, F. (2022). Measuring Financial Conditions using Equal Weights Combination. IMF Economic Review. doi: https://doi.org/10.1057/s41308-022-00170-y

    Article  PubMed Central  Google Scholar 

  • Ashley, S., Holden, S., & Bazeley, P. (1999). Livestock in poverty-focused development. Livestock in Development. Crewkerne, Somerset, UK

  • Asmamaw, M., Mereta, S. T., Beyene, E. M., & Ambelu, A. (2020). Multidimensional livelihood vulnerability analysis in Dinki watershed, central highlands of Ethiopia. Climate and Development, 12(9), 814–826. https://doi.org/10.1080/17565529.2019.1698405

    Article  Google Scholar 

  • Bailey, I., & Buck, L. E. (2016). Managing for resilience: A landscape framework for food and livelihood security and ecosystem services. Food Security, 8(3), 477–490. https://doi.org/10.1007/s12571-016-0575-9

    Article  Google Scholar 

  • Bhandari, B. S., & Grant, M. (2007). Analysis of livelihood security: A case study in the Kali-Khola watershed of Nepal. Journal of Environmental Management, 85(1), 17–26. https://doi.org/10.1016/j.jenvman.2006.07.010

    Article  CAS  PubMed  Google Scholar 

  • Bhutia, R.N., Prakash, N.R., Ranjan, N., Ahmed, I & Hussain, I. (2021). Small indigenous fish based paddy cum fish cultivation in land shaping models in Sundarbans. Food and Scientific Reports, 2(5), 21-23

    Google Scholar 

  • Carter, N., Bryant-Lukosius, D., DiCenso, A., Blythe, J., & Neville, A. (2014). The Use of Triangulation in Qualitative Research. Oncology Nursing Forum, 41(5), 545-547. doi: https://doi.org/10.1188/14.onf.545-547

    Article  PubMed  Google Scholar 

  • Chhotray, V., & Few, R. (2012). Post-disaster recovery and ongoing vulnerability: Ten years after the super-cyclone of 1999 in Orissa, India. Global Environmental Change, 22(3), 695–702. https://doi.org/10.1016/j.gloenvcha.2012.05.001

    Article  Google Scholar 

  • Chitongo, L. (2019). Rural livelihood resilience strategies in the face of harsh climatic conditions. The case of ward 11 Gwanda, South, Zimbabwe. Cogent Social Sciences. 5(1):1617090. https://doi.org/10.1080/23311886.2019.1617090

  • Costanza, R., Fisher, B., Ali, S., Beer, C., Bond, L., Boumans, R., Danigelis, N. L., Dickinson, J., Elliott, C., Farley, J., Gayer, D. E., Glenn, L. M., Hudspeth, T., Mahoney, D., McCahill, L., McIntosh, B., Reed, B., Rizvi, S. A. T., Rizzo, D. M., Simpatico, T., & Snapp, R. (2007). Quality of life: An approach integrating opportunities, human needs, and subjective well-being. Ecological Economics, 61(2), 267–276. https://doi.org/10.1016/j.ecolecon.2006.02.023

    Article  Google Scholar 

  • Das, S. K., & Tripathi, H. (2013). Marketing of livestock and livestock products in Sundarban Islands of India: a participatory rural appraisal. International journal of Bio-resource and Stress Management, 4(3), 444-448.

    Google Scholar 

  • 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. (2022). Retracted chapter: Assessment of pond water quality and its impact on local livelihood in the indian sundarbans. In S. Das, A. Chanda, & T. Ghosh (Eds.), Pond Ecosystems of the Indian Sundarbans: An Overview (pp. 45–69). Springer International Publishing. https://doi.org/10.1007/978-3-030-86786-7_3

  • De, D., & Das, C. S. (2021). Measuring livelihood sustainability by pca in indian sundarban. Environment, Development and Sustainability, 23(12), 18424–18442. https://doi.org/10.1007/s10668-021-01451-8

    Article  Google Scholar 

  • Devi, L.G., Feroze, S.M., Singh, R & Sarkar, A (2017) Sustainability of Hill Agriculture In North Eastern Himalaya: Evidence from Manipur, India. Journal of Community Mobilization and Sustainable Development Vol. 12(2),286-294

    Google Scholar 

  • Dhara, K., Moitra, N., Misra, S., Ghosh, S., Bose, S., & Poddar, K. (2019). Socio- economic status of the sheep and goat farmers in sundarban, west bengal. International Journal of Livestock Research, 0, 1. https://doi.org/10.5455/ijlr.20190710050419

  • Dubey, S. K., Trivedi, R. K., Chand, B. K., Mandal, B., & Rout, S. K. (2017). Farmers’ perceptions of climate change, impacts on freshwater aquaculture and adaptation strategies in climatic change hotspots: A case of the Indian Sundarban delta. Environmental Development, 21, 38–51. https://doi.org/10.1016/j.envdev.2016.12.002

    Article  Google Scholar 

  • Dutta, M. K., Chowdhury, C., Jana, T. K., & Mukhopadhyay, S. K. (2013). Dynamics and exchange fluxes of methane in the estuarine mangrove environment of the Sundarbans, NE coast of India. Atmospheric Environment, 77, 631–639. https://doi.org/10.1016/j.atmosenv.2013.05.050

    Article  CAS  Google Scholar 

  • Ghosh, S., & Mistri, B. (2020). Drainage induced waterlogging problem and its impact on farming system: A study in Gosaba Island, Sundarban, India. Spatial Information Research, 28(6), 709–721. https://doi.org/10.1007/s41324-020-00328-8

    Article  Google Scholar 

  • Giri, S., Samanta, S., Mondal, P. P., Basu, O., Khorat, S., Chanda, A., & Hazra, S. (2022). A geospatial assessment of growth pattern of aquaculture in the Indian Sundarbans Biosphere Reserve. Environment, Development and Sustainability, 24(3), 4203–4225. https://doi.org/10.1007/s10668-021-01612-9

    Article  Google Scholar 

  • Goli, S., Rammohan, A., & Reddy, S. P. (2021). The interaction of household agricultural landholding and Caste on food security in rural Uttar Pradesh, India. Food Security, 13(1), 219–237. https://doi.org/10.1007/s12571-020-01109-9

    Article  Google Scholar 

  • Guha, I., & Ghosh, S. (2007). Does tourism contribute to local livelihoods? A case study of tourism, poverty, and conservation in the Indian Sundarbans. South Asian Network for Development and Environmental Economics Working Papers, ISSN 1893–1891; 2007 - WP 26

  • Halder, S., Kumar, P., Das, K., Dasgupta, R., & Mukherjee, A. (2021). Socio-hydrological approach to explore groundwater–human wellbeing nexus: Case study from sundarbans, india. Water, 13(12), 1635. https://doi.org/10.3390/w13121635

    Article  Google Scholar 

  • Hazra, S., Mukhopadhyay, A., Mukherjee, S., Akhand, A., Chanda, A., Mitra, D., & Ghosh, T. (2016). Disappearance of the new moore island from the southernmost coastal fringe of the sundarban delta—A case study. Journal of the Indian Society of Remote Sensing, 44(3), 479–484. https://doi.org/10.1007/s12524-015-0524-7

    Article  Google Scholar 

  • Hossain, Md. T., Lima, T. R., Ela, M. Z., Khan, L., Ahmed, F., Shovo, T.-E.-A., Al Masud, A., Rahman, K.-S., Jahan, N., Rahman, Sk. M., & Islam, Md. N. (2022). Livelihood challenges and healthcare-seeking behavior of fishermen amidst the COVID-19 pandemic in the Sundarbans mangrove forest of Bangladesh. Aquaculture, 546, 737348. https://doi.org/10.1016/j.aquaculture.2021.737348

    Article  CAS  PubMed  Google Scholar 

  • Iyengar, N. S., & Sudarshan., P. (1982). A Method of Classifying Regions from Multivariate Data. Economic and Political Weekly, 17(51), 2047–2052. http://www.jstor.org/stable/4371674. Accessed  2.1.2022

  • Jones, P. G., & Thornton, P. K. (2009). Croppers to livestock keepers: Livelihood transitions to 2050 in Africa due to climate change. Environmental Science & Policy, 12(4), 427–437. https://doi.org/10.1016/j.envsci.2008.08.006

    Article  Google Scholar 

  • Kaplowitz, M. D. (2001). Assessing mangrove products and services at the local level: The use of focus groups and individual interviews. Landscape and Urban Planning, 56(1–2), 53–60. https://doi.org/10.1016/S0169-2046(01)00170-0

    Article  Google Scholar 

  • Keshavarz, M., Maleksaeidi, H., & Karami, E. (2017). Livelihood vulnerability to drought: A case of rural Iran. International Journal of Disaster Risk Reduction, 21, 223–230. https://doi.org/10.1016/j.ijdrr.2016.12.012

    Article  Google Scholar 

  • Kibria, A. S. M. G., Costanza, R., Gasparatos, A., & Soto, J. (2022). A composite human wellbeing index for ecosystem-dependent communities: A case study in the Sundarbans, Bangladesh. Ecosystem Services, 53, 101389. https://doi.org/10.1016/j.ecoser.2021.101389

    Article  Google Scholar 

  • Krishna, V. R., Paramesh, V., Arunachalam, V., Das, B., Elansary, H. O., Parab, A., Reddy, D. D., Shashidhar, K. S., El-Ansary, D. O., Mahmoud, E. A., & El-Sheikh, M. A. (2020). Assessment of sustainability and priorities for development of indian west coast region: An application of sustainable livelihood security indicators. Sustainability, 12(20), 8716. https://doi.org/10.3390/su12208716

    Article  Google Scholar 

  • Krishnamurthy, P. K. (2012). Disaster-induced migration: Assessing the impact of extreme weather events on livelihoods. Environmental Hazards, 11(2), 96–111. https://doi.org/10.1080/17477891.2011.609879

    Article  Google Scholar 

  • Kumar, S. M. (2013). Does access to formal agricultural credit depend on caste? World Development, 43, 315–328. https://doi.org/10.1016/j.worlddev.2012.11.001

    Article  Google Scholar 

  • Lambert, S., & Loiselle, C. (2008). Combining individual interviews and focus groups to enhance data richness. Journal Of Advanced Nursing, 62(2), 228-237. doi: https://doi.org/10.1111/j.1365-2648.2007.04559.x

    Article  PubMed  Google Scholar 

  • Lindenberg, M. (2002). Measuring household livelihood security at the family and community level in the developing world. World Development, 30(2), 301–318. https://doi.org/10.1016/S0305-750X(01)00105-X

    Article  Google Scholar 

  • Mabe, F. N., Ayamga, M., & Amadu, M. (2021). Livelihood security of rural households in Northern Ghana: Do forests matter? Environment, Development and Sustainability, 23(6), 8542–8558. https://doi.org/10.1007/s10668-020-00981-x

    Article  Google Scholar 

  • Mahendra Dev, S. (2012). Climate change, rural livelihoods and agriculture (Focus on food security) in Asia-Pacific region [Working Paper]. http://oii.igidr.ac.in:8080/xmlui/handle/2275/141. Accessed on 31.1.2022

  • Mandal, S., Satpati, L. N., Choudhury, B. U., & Sadhu, S. (2018). Climate change vulnerability to agrarian ecosystem of small Island: Evidence from Sagar Island, India. Theoretical and Applied Climatology, 132(1), 451–464. https://doi.org/10.1007/s00704-017-2098-5

    Article  Google Scholar 

  • Mandal, U. K., Nayak, D. B., Mullick, S., Samui, A., Jana, A. K., Mahanta, K. K., Raut, S., Roy, S., & Burman, D. (2019). Trend analysis of weather parameters over Indian Sundarbans. Journal of Agrometeorology, 21(3), 307–615. https://doi.org/10.54386/jam.v21i3.253

  • Mehzabin, S., & Mondal, M. S. (2021). Assessing impact of climate variability in southwest coastal bangladesh using livelihood vulnerability index. Climate, 9(7), 107. https://doi.org/10.3390/cli9070107

    Article  Google Scholar 

  • Mitra, A., Banerjee, K., & Sett, S. (2012). Spatial variation in organic carbon density of mangrove soil in indian sundarbans. National Academy Science Letters, 35(3), 147–154. https://doi.org/10.1007/s40009-012-0046-6

    Article  CAS  Google Scholar 

  • Mohanty, B., Vivekanandan, E., Mohanty, S., Mahanty, A., Trivedi, R., Tripathy, M., & Sahu, J. (2017). The impact of climate change on marine and inland fisheries and aquaculture in india. In B. F. Phillips & M. Pérez-Ramírez (Eds.), Climate Change Impacts on Fisheries and Aquaculture (pp. 569–601). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781119154051.ch17

  • Mondal, M., Biswas, A., Haldar, S., Mandal, S., Mandal, P., Bhattacharya, S., & Paul, S. (2022). Climate change, multi-hazards and society: An empirical study on the coastal community of Indian Sundarban. Natural Hazards Research, 2(2), 84–96. https://doi.org/10.1016/j.nhres.2022.04.002

    Article  Google Scholar 

  • Mondal, M., Biswas, A., Haldar, S., Mandal, S., Mandal, P., Bhattacharya, S., & Paul, S. (2022). Rural livelihood risk to hydro-meteorological extreme events: Empirical evidence from Indian Sundarban applying IPCC-AR5 and DEMATEL methodology. International Journal of Disaster Risk Reduction, 77, 103100. https://doi.org/10.1016/j.ijdrr.2022.103100

    Article  Google Scholar 

  • Mondal, B. K., & Paul, A. K. (2022). Application of participatory rural appraisal and geospatial techniques for analysing the dynamics of mangrove forest and dependent livelihood in indian sundarban. In M. Sahana, G. Areendran, & K. Raj (Eds.), Conservation, Management and Monitoring of Forest Resources in India (pp. 409–455). Springer International Publishing. https://doi.org/10.1007/978-3-030-98233-1_16

  • Mukherjee, N., & Siddique, G. (2022). Soil, water salinization and its impact on household food insecurity in the indian sundarbans. In N. C. Jana & R. B. Singh (Eds.), Climate, Environment and Disaster in Developing Countries (pp. 217–233). Springer Nature. https://doi.org/10.1007/978-981-16-6966-8_11

  • Nath, A., Samanta, S., Banerjee, S., Danda, A. A., & Hazra, S. (2021). Threat of arsenic contamination, salinity and water pollution in agricultural practices of Sundarban Delta, India, and mitigation strategies. SN Applied Sciences, 3(5), 560. https://doi.org/10.1007/s42452-021-04544-1

    Article  CAS  Google Scholar 

  • Nayyar, R. (1987). Female Participation Rates in Rural India. Economic and Political Weekly, 22(51), 2207–2216. http://www.jstor.org/stable/4377889

  • Pal, I., Baskota, A., Dhungana, G., Udmale, P., Gadhawe, M. A., Doydee, P., Nguyen, T. T. N., Sophat, S., & Banerjee, S. (2023). Index-based tools for livelihood security and resilience assessment (Lisera) in lower Mekong Basin. MethodsX, 11, 102301. https://doi.org/10.1016/j.mex.2023.102301

    Article  PubMed  PubMed Central  Google Scholar 

  • Paltasingh, K. R., & Goyari, P. (2015). Climatic risks and household vulnerability assessment: A case of paddy growers in odisha. Agricultural Economics Research Review, 28(conf), 199. https://doi.org/10.5958/0974-0279.2015.00035.X

  • Patel, S. K., Mathew, B., Nanda, A., Pati, S., & Nayak, H. (2021). A review on extreme weather events and livelihood in Odisha, India. MAUSAM, 70(3), 551–560. https://doi.org/10.54302/mausam.v70i3.258

  • Patidar, H. (2019). Livelihood security in rural india: Reflections from some selected indicators. Forum for Development Studies, 46(1), 147–185. https://doi.org/10.1080/08039410.2018.1519517

    Article  Google Scholar 

  • Pattnaik, I., & Lahiri-Dutt, K. (2020). What determines women’s agricultural participation? A comparative study of landholding households in rural India. Journal of Rural Studies, 76, 25–39. https://doi.org/10.1016/j.jrurstud.2020.03.008

    Article  Google Scholar 

  • Paul, B. K., & Chatterjee, S. (2019). Climate change-induced environmental hazards and aila relief measures undertaken to sundarbans in bangladesh and india. In H. S. Sen (Ed.), The Sundarbans: A Disaster-Prone Eco-Region: Increasing Livelihood Security (pp. 469–490). Springer International Publishing. https://doi.org/10.1007/978-3-030-00680-8_16

  • Pradhan, S., Naberia, S., Harikrishna, Y. V., & Jallaraph, V. (2021). Socio-economic correlates of livelihood security of small farmers in jabalpur district of madhya pradesh. Indian Journal of Extension Education, 57(3), 57–59. https://doi.org/10.48165/IJEE.2021.57314

  • Rahman, H. M. T., & Hickey, G. M. (2020). An analytical framework for assessing context-specific rural livelihood vulnerability. Sustainability, 12(14), 5654. https://doi.org/10.3390/su12145654

    Article  Google Scholar 

  • Rahman, M. M., Penny, G., Mondal, M. S., Zaman, M. H., Kryston, A., Salehin, M., Nahar, Q., Islam, M. S., Bolster, D., Tank, J. L., & Müller, M. F. (2019). Salinization in large river deltas: Drivers, impacts and socio-hydrological feedbacks. Water Security, 6, 100024. https://doi.org/10.1016/j.wasec.2019.100024

    Article  Google Scholar 

  • Shah, K. U., Dulal, H. B., & Awojobi, M. T. (2020). Food security and livelihood vulnerability to climate change in trinidad and tobago. In J. Connell & K. Lowitt (Eds.), Food Security in Small Island States (pp. 219–237). Springer. https://doi.org/10.1007/978-981-13-8256-7_12

  • Sundar Pani, B., & Mishra, D. (2022). Sustainable livelihood security in Odisha, India: A district level analysis. Regional Sustainability, 3(2), 110–121. https://doi.org/10.1016/j.regsus.2022.07.003

    Article  Google Scholar 

  • Tessema, I., & Simane, B. (2019). Vulnerability analysis of smallholder farmers to climate variability and change: An agro-ecological system-based approach in the Fincha’a sub-basin of the upper Blue Nile Basin of Ethiopia. Ecological Processes, 8(1), 5. https://doi.org/10.1186/s13717-019-0159-7

    Article  Google Scholar 

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Funding

The data for the study were collected through the financial assistance of the Indian Council of Social Science Research and the Ministry of Education, Government of India-funded project. Data analysis and interpretation were made possible through the NAHEP project of the Indian Council of Agricultural Research, New Delhi.

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The data were analyzed by Asif Mohammad, Champak Bhakat, Tapas Kumar Dutta and Anupam Chatterjee. The main manuscript was written by Asif Mohammad and Sheikh Mohammad Feroze. The paper was examined by each author.

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Mohammad, A., Feroze, S.M., Dutta, T.K. et al. Spatial variation in livelihood security among livestock-based agricultural farming systems in climatically vulnerable Indian Sundarbans. Trop Anim Health Prod 55, 372 (2023). https://doi.org/10.1007/s11250-023-03792-0

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