Climate change vulnerability to agrarian ecosystem of small Island: evidence from Sagar Island, India
The present study assessed climate change vulnerability in agricultural sector of low-lying Sagar Island of Bay of Bengal. Vulnerability indices were estimated using spatially aggregated biophysical and socio-economic parameters by applying principal component analysis and equal weight method. The similarities and differences of outputs of these two methods were analysed across the island. From the integration of outputs and based on the severity of vulnerability, explicit vulnerable zones were demarcated spatially. Results revealed that life subsistence agriculture in 11.8% geographical area (2829 ha) of the island along the western coast falls under very high vulnerable zone (VHVZ VI of 84–99%) to climate change. Comparatively higher values of exposure (0.53 ± 0.26) and sensitivity (0.78 ± 0.14) subindices affirmed that the VHV zone is highly exposed to climate stressor with very low adaptive capacity (ADI= 0.24 ± 0.16) to combat vulnerability to climate change. Hence, food security for a population of >22 thousands comprising >3.7 thousand agrarian households are highly exposed to climate change. Another 17% area comprising 17.5% population covering 20% villages in north-western and eastern parts of the island also falls under high vulnerable (VI= 61%–77%) zone. Findings revealed large spatial heterogeneity in the degree of vulnerability across the island and thus, demands devising area specific planning (adaptation and mitigation strategies) to address the climate change impact implications both at macro and micro levels.
Authors are thankful to the United States Geological Survey (USGS), WorldClim database, CGIAR-CSI Geoportal for providing free access to the data used. Authors are also thankful to Census of India, India Meteorological Department, District Agricultural Department (West Bengal), Survey of India, National Atlas and Thematic Mappings Organization (NATMO) for providing data at free of cost to carry out the study. Authors also duly acknowledge technical help of Dr. Abdul Fiyaz R, Scientist at Indian Institute of Rice Research, Hyderabad, while carrying out data analysis.
- Bhusan C, Ghosh A, Chaudhuri J, Singh K, Singh S, Shrivastava R, Das G, Bera S (2012) Living with Changing Climate- Impact, Vulnerability and Adaptation challenges in Indian Sundarbans. Centre for Science and Environment, New Delhi, India. pp 1–114. www.cseindia.org
- Cattell RB (1966) The data box: its ordering of total resources in terms of possible relational systems. In: Cattell RB (ed) Handbook of multivariate experimental psychology. Chicago, IL, Rand-McNally, pp 67–128Google Scholar
- Chand BK, Trivedi RK, Dubey SK, Beg MM (2012) Aquaculture in changing climate of Sundarbans. Survey Report on Climate Change Vulnerabilities, Aquaculture Practices and Coping Measures in Sagar and Basanti Blocks of Indian Sundarbans, West Bengal University of Animal and Fishery Sciences, Kolkata, India. Online at http://www.wbuafscl.ac.in/
- Choudhury BU, Das A, Kumar M, Ramesh T, Mohapatra KP, Verma BC, Ngachan SV (2013) Impact of elevated carbon dioxide and temperature on rice productivity in the mid altitude Meghalaya, Northeast India—results from a simulation study. J Agrometeorology 15:1–3Google Scholar
- Ericksen P, Thornton P, Notenbaert A, Cramer L, Jones P, Herrero M (2011) Mapping hotspots of climate change and food insecurity in the global tropics. CCAFS Report no. 5, CopenhagenGoogle Scholar
- Gbetibouo GA, Ringler C (2009) Mapping South African Farming Sector Vulnerability to Climate Change and Variability: A Subnational Assessment, IFPRI Discussion Paper 00885:1–38, Environment and Production Technology Division, International Food Policy Research Institute, Washington DCGoogle Scholar
- Hazra S, Samanta K, Mukhopadhyay A, Akhand A (2010) Temporal Change Detection (2001–2008) Study of Sundarban. School of Oceanographic Studies, Jadavpur University, KolkataGoogle Scholar
- Hiremath DB, Shiyani RL (2013) Analysis of vulnerability indices in various agro-climatic zones of Gujarat. Ind J Agri Econ 68(1):122–137Google Scholar
- IPCC (2007) Climate Change 2007: Impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, M.L. Parry, O.F. Canziani, J.P. Palutik of, P.J. van der Linden and C.E. Hanson, eds. Cambridge, UK: Cambridge University PressGoogle Scholar
- Lakshmi SA, Patterson Edward JK (2010) Issues and management strategy for Sagar Island environmental sciences essay. Rec Res Sci Tec 2(5):96–101Google Scholar
- Mandal S, Choudhury BU, Mondal M, Bej S (2013) Trend analysis of weather variables in Sagar Island, West Bengal, India: a long-term perspective (1982–2010). Curr Sci 105:947–953Google Scholar
- Ravindranath NH, Rao S, Sharma N, Nair M, Gopalakrishnan R, Rao AS, Malaviya S, Tiwari R, Sagadevan A, Munsi M, Krishna N, Bala G (2011) Climate change vulnerability profiles for North East India. Curr Sci 101(3):384–394Google Scholar
- Sehgal VK, Singh MR, Chaudhary A, Jain N, Pathak H (2013) Vulnerability of agriculture to climate change: district level assessment in the indo-Gangetic Plains. Indian Agricultural Research Institute, New Delhi p 74Google Scholar
- Sengupta A, Rajeevan M (2013) Uncertainty quantification and reliability analysis of CMIP5 projections for the Indian summer monsoon. Curr Sci 105(12):1692–1703Google Scholar
- Trabucco A, Zomer RJ (2009) Global Aridity Index (Global-Aridity) and Global Potential Evapo-Transpiration (Global-PET) Geospatial Database. CGIAR Consortium for Spatial Information. Published online, available from the CGIAR-CSI GeoPortal at: http://www.csi.cgiar.org UNDP (United Nations Development Programme) (2006) Calculating the Human Development Indices, Technical Note 1 in Human Development Report.
- Young BE, Byers E, Hammerson G, Frances A, Oliver L, Treher A (2015) Guidelines for using the NatureServe Climate Change Vulnerability Index Release 3.0 Nature Serve, Arlington, Virginia, USAGoogle Scholar
- Zomer RJ, Trabucco A, Bossio DA, van Straaten O, Verchot LV (2008) Climate change mitigation: a spatial analysis of global land suitability for clean development mechanism afforestation and reforestation. Agri Ecosys and Environ126:67–80. doi 10.1016/j.agee.2008.01.014
- Zomer RJ, Trabucco A, van Straaten, O, Bossio DA (2007) Carbon, land and water: A global analysis of the hydrologic dimensions of climate change mitigation through afforestation/reforestation. Colombo, Sri Lanka: International Water Management Institute. (IWMI Research Report 101). pp 44Google Scholar