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Climate Change Vulnerability in Agriculture Sector: An Assessment and Mapping at Divisional Secretariat Level in Sri Lanka

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Abstract

Climate change vulnerability assessment is a technique used to identify vulnerable areas for adaptation planning. This study focuses on developing a conceptual framework to assess and map the vulnerability of the agriculture sector in Sri Lanka to climate change at Divisional Secretariat (DS), an administrative level. Vulnerability indices were formulated based on the definition of vulnerability by the Intergovernmental Panel on Climate Change (IPCC). Data were collected from secondary sources and aggregated using a composite index. The index was further expanded by two methods to include the impacts of neighbouring DS divisions, considering the mean vulnerability index (VI) of neighbours and maximum VI among neighbours. A two-third was taken as the contribution from the own DS while one-third was accounted for the surrounding DS divisions for the final vulnerability index. The study identified a considerable spatial variability in vulnerability. Agriculture sector in Northern and Eastern, Northwestern parts of the country and Southwestern part of the wet zone are the most vulnerable to drought. About 50% of area in the wet zone and Northern and Eastern coasts were identified as the most vulnerable to floods while Central highlands are vulnerable to landslides. Vulnerability of agriculture for cyclones has spread throughout the dry zone except few areas. Neighbourhood analysis using the mean vulnerability index (VI) of neighbours (N) shows that the agriculture sector is highly vulnerable to droughts (D), floods (F), landslides (L), cyclones (C) in the DS divisions of Galgamauwa (VIDNAvg is1), Manmunai West (VIFNAvg is 0.84), Akurana (VILNAvg is 0.85), Kuchchaveli (VICNAvg is 0.83), respectively, and to all types of disaster in Manmunai West (VINAvg is 0.62) DS division. This study indicates that the characteristics of the neighbours are a vital factor in determining the vulnerability status of an area of interest. Since vulnerability assessments are useful in policy formulations and launching development projects, these assessments should include the influence of neighbours.

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References

  • Abeysekera AB, Punyawardena BVR (2016) Potential and constraints of climate for groundwater management in the dry zone of Sri Lanka. In: Pathmarajah S (ed) Groundwater availability and use in the dry zone of Sri Lanka. Cap-Net Lanka, Post Graduate Institute of Agriculture, University of Peradeniya, Peradeniya, pp 1–32

    Google Scholar 

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

    Article  Google Scholar 

  • Central Bank Annual Report (2017), Central Bank of Sri Lanka (CBSL), Sri Lanka

    Google Scholar 

  • Climate Change Secretariat (2016) National adaptation plan for climate change impacts in Sri Lanka. 2016 to 2025. Climate Change Secretariat, Ministry of Mahaweli Development and Environment, Sri Lanka

    Google Scholar 

  • Dang K, Sassa K, Konagai K, Karunawardena A, Bandara RMS, Hirota K, Ha ND (2019) Recent rainfall-induced rapid and long-traveling landslide on 17 May 2016 in Aranayaka, Kagelle District, Sri Lanka. Landslides 16(3):155–164. https://doi.org/10.1007/s10346-018-1089-7

    Article  Google Scholar 

  • De Costa WAJM (2000) Prediction of the effects of elevated CO2 and temperature on irrigated rice varieties in the low-country dry zone of Sri Lanka using a process-based simulation model. J Natl Sci Found Sri Lanka 28(3):165–184. https://doi.org/10.4038/jnsfsr.v28i3.2659

    Article  Google Scholar 

  • De Silva CS, Weatherhead EK, Knox JW, Rodriguez-Diaz JA (2007) Predicting the impacts of climate change-a case study of paddy irrigation water requirements in Sri Lanka. Agric Water Manag 93(1–2):19–29. https://doi.org/10.1016/j.agwat.2007.06.003

    Article  Google Scholar 

  • Department of Agriculture (2019) Agricultural statistics, socio economics and planning centre. Department of Agriculture, Peradeniya

    Google Scholar 

  • Department of Census and Statistics, Sri Lanka (2018) Sri Lanka Labour Force Survey, Annual Report. Department of Census and Statistics, Battaramulla

    Google Scholar 

  • Disaster Information Management System Sri Lanka (2019). https://www.google.com/search?q=https%2Fwww.desinventar.lk&oq=https%2Fwww.desinventar.lk&aqs=chrome..69i57j69i58.7018j0j4&sourceid=chrome&ie=UTF-8. Accessed 19 Jun 2019

  • Downs A (1981) Neighbourhoods and urban development. Brookings Institution Press, Washington

    Google Scholar 

  • Dyoulgerov M, Bucher A, Zermoglio F (2011) Climate risk and adaptation country profile. Sri Lanka: vulnerability, risk reduction and adaptation to climate change. Global Facility for Disaster Reduction and Recovery, World Bank, Washington, DC. https://climateknowledgeportal.worldbank.org/sites/default/files/2018-10/wb_gfdrr_climate_change_country_profile_for_LKA.pdf. Accessed 20 Oct 2018

  • Eriyagama N, Smakhtin V (2010) Observed and projected climatic changes, their impacts and adaptation options for Sri Lanka: a review. In: Evans A, Jinapala K (eds) Proceedings of the National Conference on Water, Food Security and Climate Change in Sri Lanka, vol 2. International Water Management Institute, Colombo, Sri Lanka, pp 99–117. https://doi.org/10.22004/ag.econ.211313

  • Eriyagama N, Smakhtin V, Chandrapala L, Fernando K (2010) Impacts of climate change on water resources and agriculture in Sri Lanka: a review and preliminary vulnerability mapping, Colombo, Sri Lanka. International Water Management Institute (IWMI Research Report 135). https://doi.org/10.22004/ag.econ.94787

  • Fellmann T (2012) The assessment of climate change-related vulnerability in the agricultural sector: reviewing conceptual frameworks. In: Meybeck A, Meybeck J, Redfern S, Azzu N, Gitz V (eds) Building resilience for adaptation to climate change in the agriculture sector, Proceedings of a Joint FAO/OECD Workshop, pp 37–61

  • Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) (2014) Climate change 2014: impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York

  • Galster G (2001) On the nature of neighbourhood. Urban Stud 38(12):2111–2124. https://doi.org/10.1080/00420980120087072

    Article  Google Scholar 

  • Gbetibouo GA, Ringler C, Hassan R (2010) Vulnerability of the South African farming sector to climate change and variability: an indicator approach. Nat Resour Forum 34(3):175–187. https://doi.org/10.1111/j.1477-8947.2010.01302.x

    Article  Google Scholar 

  • Gregory PJ, Ingram JS, Brklacich M (2005) Climate change and food security. Philos Trans R Soc Lond B Biol Sci 360(1463):2139–2148. https://doi.org/10.1098/rstb.2005.1745

    Article  Google Scholar 

  • Hemasinghe H, Rangali RSS, Deshapriya NL, Samarakoon L (2018) Landslide susceptibility mapping using logistic regression model (a case study in Badulla District, Sri Lanka). Procedia Eng 212:1046–1053. https://doi.org/10.1016/j.proeng.2018.01.135

    Article  Google Scholar 

  • Hewawasam T (2010) Effect of land use in the upper Mahaweli catchment area on erosion, landslides and siltation in hydropower reservoirs of Sri Lanka. J Natl Sci Found Sri Lanka 38(1):3–14

    Article  Google Scholar 

  • IFRC (2019) Information bulletin Sri Lanka: Floods and Landslides. https://reliefweb.int/report/sri-lanka/sri-lanka-floods-and-landslides-information-bulletin-mdrlk010. Accessed 15 Feb 2021

  • Jayawardane AKW (2006) Disaster mitigation initiatives in Sri Lanka. In: Proceedings of International Symposium on Management Systems for Disaster Prevention, Centre of Excellence for Social Management System, Kochi University of Technology, Japan. 9–11 March 2006

  • Jones B, Andrey J (2007) Vulnerability index construction: methodological choices and their influence on identifying vulnerable neighbourhoods. Int J Emerg Manag 4(2):269–295. https://doi.org/10.1504/IJEM.2007.013994

    Article  Google Scholar 

  • Karlson M (2012) Assessing GIS-based indicator methodology for analyzing the physical vulnerability of water and sanitation infrastructure. (Master's thesis) Water and Environmental Studies, Department of Thematic Studies, Linköping University, Sweden

  • Karunathilaka KLAA, Dabare HKV, Nandalal KDW (2017) Changes in rainfall in Sri Lanka during 1966–2015. J Inst Eng Sri Lanka 50(2):39–48. https://doi.org/10.4038/engineer.v50i2.7251

    Article  Google Scholar 

  • Keller S (1968) The urban neighbourhood. N Y Random House. https://doi.org/10.1177/074171366901900205

    Article  Google Scholar 

  • Mawilmada N, Atapattu S, Dela J, Gunawardene N, Weerasinghe B, Nandana M, Bellanawithana A, Wimalasiri R, Kumari N (2010) Sector Vulnerability Profile: Agriculture and Fisheries. Climate Change Secretariat, Ministry of Environment Sri Lanka. http://www.climatechange.lk/adaptation/Files/Agriculture_and_Fisheries_SVP_Nov-16-2010.pdf. Accessed 10 Oct 2018

  • McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (eds) (2001) Climate change 2001: impacts, adaptation, and vulnerability: contribution of Working Group II to the third assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

    Google Scholar 

  • Monterroso A, Conde C, Gay C, Gómez D, López J (2014) Two methods to assess vulnerability to climate change in the Mexican agricultural sector. Mitig Adapt Strateg Glob Ch 19:445–461. https://doi.org/10.1007/s11027-012-9442-y

    Article  Google Scholar 

  • Moret W (2014) Vulnerability assessment methodologies: a review of literature. retrieved from united states agency for international development (USAID): http://www.fhi360.org/sites/default/files/media/documents/VulnerabilityAssessmentLiteratureReview.pdf. Accessed 16 Jan 2019

  • Morris D, Hess K (1975) Neighbourhood power. The new localism. Beacon Press, Boston

    Google Scholar 

  • Nandana M, Mawilmada N, Atapattu S, Dela J, Bellanawithana A (2011) Climate change vulnerability data book, Ministry of Environment, Sri Lanka. http://www.climatechange.lk/adaptation/Files/Final_Climate_Change_Vulnerability_Databook.pdf. Accessed 16 Oct 2019

  • Nardo M, Saisana M, Saltelli A, Tarantola S, Hoffmann A, Giovannini E (2008) Handbook on constructing composite indicators: methodology and user guide. Organisation for Economic Co-operation and Development, Paris. https://doi.org/10.1787/533411815016

    Book  Google Scholar 

  • Niranjan F, Uddika NPC, Bantilan MCS, Singh NP (2015) Assessing agricultural vulnerability to climate change in Sri Lanka. Sri Lanka J Food Agric 1(1):85–92. https://doi.org/10.4038/sljfa.v1i1.11

    Article  Google Scholar 

  • O’Brien K, Leichenko R, Kelkar U, Venema H, Aandahl G, Tompkins H, West J (2004) Mapping vulnerability to multiple stressors: climate change and globalization in India. Glob Environ Ch 14(4):303–313. https://doi.org/10.1016/j.gloenvcha.2004.01.001

    Article  Google Scholar 

  • Odeh D (2002) Natural hazards vulnerability assessment for state-wide mitigation planning in Rhode Island. Nat Hazards Rev 3(4):177–187. https://doi.org/10.1061/(ASCE)1527-6988(2002)3:4(177)

    Article  Google Scholar 

  • Panabokke CR (1996) Soils and agro-ecological environments of Sri Lanka. Natural Resources, Energy and Science Authority of Sri Lanka, Colombo, Sri Lanka

  • Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) (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, Cambridge University Press, Cambridge

  • Peiris TSG, Wijeratne M, Ranasinghe CS (2004) Impact of climate change on coconut and tea industry in Sri Lanka. Paper presented at the 2nd AIACC regional workshop for Asia and the Pacific, Manila, the Philippines

  • Punyawardena BVR (2010) Climate of the dry zone of Sri Lanka. In: Mapa RB, Somasiri S, Dassanayake AR (eds) Soils of the dry zone of Sri Lanka. Special Publication No. 7. Soil Science Society of Sri Lanka, pp 9–26

  • Saaty TL (1980) The analytical hierarchy process, planning Priority. Resource Allocation. McGraw-Hill International Book Company, New York

    Google Scholar 

  • Saisana M, Tarantola S (2002) State-of-the-art report on current methodologies and practices for composite indicator development. European Commission, Joint Research Centre, Institute for the Protection and the Security of the Citizen, Technological and Economic Risk Management Unit Ispra, Italy. https://doi.org/10.13140/RG.2.1.1505.1762

  • Sampson RJ, Morenoff JD, Gannon-Rowley T (2002) Assessing “neighbourhood effects”: social processes and new directions in research. Annu Rev Sociol 28(1):443–478. https://doi.org/10.1146/annurev.soc.28.110601.141114

    Article  Google Scholar 

  • Satapathy S, Porsché I, Rolker D, Bhatt S, Tomar S, Nair S (2014) A framework for climate change vulnerability assessments. Project on Climate Change Adaptation in Rural Areas of India (CCA RAI), New Delhi, India. https://www.adaptationcommunity.net/?wpfb_dl=236. Accessed 23 Sep 2020

  • Schmidt A, Ivanova A, Schafer MS (2013) Media attention for climate change around the world: a comparative analysis of newspaper coverage in 27 countries. Glob Environ Ch 23(5):1233–1248. https://doi.org/10.1016/j.gloenvcha.2013.07.020

    Article  Google Scholar 

  • Senanayake S, Pradhan B, Huete A, Brennan J (2020) Assessing soil erosion hazards using land-use change and landslide frequency ratio method: a case study of Sabaragamuwa Province. Sri Lanka Remote Sens 12(9):1483. https://doi.org/10.3390/rs12091483

    Article  Google Scholar 

  • Siriwardana CSA, Jayasiri GP, Hettiarachchi SS (2018) Investigation of efficiency and effectiveness of the existing disaster management frameworks in Sri Lanka. Procedia Eng 212:1091–1098. https://doi.org/10.1016/j.proeng.2018.01.141

    Article  Google Scholar 

  • Sivakumar MVK, Stefanski R (2010) Climate change in South Asia. In: Lal R, Sivakumar MV, Faiz SMA, Mustafizur Rahman AHM (eds) Climate change and food security in South Asia. Springer, Dordrecht, pp 13–30. https://doi.org/10.1007/978-90-481-9516-9_2

    Chapter  Google Scholar 

  • Smit B, Pilifosova O (2003) From adaptation to adaptive capacity and vulnerability reduction. In: Smith JB, Klein RJT, Huq S (eds) Climate Change, Adaptive Capacity and Development. Imperial College Press, London, pp 9–28. https://doi.org/10.1142/9781860945816_0002

    Chapter  Google Scholar 

  • Tao S, Xu Y, Liu K, Pan J, Gou S (2011) Research progress in agricultural vulnerability to climate change. Adv Clim Ch Res 2(4):203–210. https://doi.org/10.3724/SP.J.1248.2011.00203

    Article  Google Scholar 

  • Vidanage SP, Abeygunawardane P (1994) An economic assessment of global warming on agriculture: the case of paddy production in Sri Lanka. Marga 13(1):33–44

    Google Scholar 

  • Wickramaratne S, Ruwanpura J, Ranasinghe U, Walawe-Durage S, Adikariwattage V, Wirasinghe SC (2012) Ranking of natural disasters in Sri Lanka for mitigation planning. Int J Disaster Resil Built Environ 3(2):115–132. https://doi.org/10.1108/17595901211245198

    Article  Google Scholar 

  • Wijeratne MA, Anandacoomaraswamy A, Amarathunga MKSLD, Ratnasiri J, Basnayake BRSB, Kalra N (2007) Assessment of impact of climate change on productivity of tea (Camellia sinensis L.) plantations in Sri Lanka. J Natl Sci Found Sri Lanka 35(2):119–126. https://doi.org/10.4038/jnsfsr.v35i2.3676

    Article  Google Scholar 

  • Wiréhn L, Danielsson A, Neset TSS (2015) Assessment of composite index methods for agricultural vulnerability to climate change. J Environ Manag 156:70–80. https://doi.org/10.1016/j.jenvman.2015.03.020

    Article  Google Scholar 

  • Yusuf AA, Francisco HA (2009) Climate change vulnerability mapping for Southeast Asia, Economy and Environment Program for Southeast Asia (EEPSEA), Singapore. https://www.eepsea.org/. Accessed 23 Dec 2020

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Acknowledgements

Mr. D.M.S. Dissanayake, Research Assistant, Department of Agricultural Engineering, is kindly acknowledged for his help in neighbourhood analysis using GIS.

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Correspondence to M. R. C. P. Wickramasinghe.

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Wickramasinghe, M.R.C.P., De Silva, R.P. & Dayawansa, N.D.K. Climate Change Vulnerability in Agriculture Sector: An Assessment and Mapping at Divisional Secretariat Level in Sri Lanka. Earth Syst Environ 5, 725–738 (2021). https://doi.org/10.1007/s41748-021-00206-9

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