Skip to main content

Assessment of climate change and vulnerability in Indian state of Telangana for better agricultural planning

Abstract

Climate variability and change pose ever-growing challenges in the semiarid tropics, where majority of the population depend on climate-dependent activities such as agriculture. This has rendered these countries more vulnerable to climate change–induced variability. In spite of the uncertainties about anticipated magnitude of climate change on regional scale, an assessment of the possible changes in key climatic elements to identify most vulnerable locations becomes important for formulating adaptation strategies. This study compiles the existing knowledge about observed climate and projections of future change in Telangana state of India. The agriculture in this semiarid state has to adapt to changes in mean climate variables to increased variability with greater risk of extreme weather events, such as prolonged dry spells. Based on climatic vulnerability assessment, we found that the number of vulnerable mandals (currently 28%) will be increased to 45% during early century and to 59% by mid-century. As per the climate exposure index scores, Jogulamba-Gadwal district was found to be most sensitive. Overall, vulnerability index scores indicated that Adilabad, Nagarkurnool, Nalgonda, Peddapalli, Suryapet, Wanaparthy, and Yadadri are extremely vulnerable districts in the state. The ranking of vulnerable mandals in each district envisages the need for a holistic approach for each mandal or a group of mandals to reduce their sensitivity though implementation of site-specific adaptation strategies to minimize climate-related shocks not only in agriculture but also in other sectors.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

References

  • Adger WN, Vincent K (2005) Uncertainty in adaptive capacity. Compt Rendus Geosci 337(4):399–410

    Article  Google Scholar 

  • Battisti DS, Naylor RL (2009) Historical warnings of future food security with unprecedented seasonal heat. Science 323:240–244

    Article  Google Scholar 

  • Beauchamp TL, Childress JF (2001). Principles of biomedical ethics. Fifth Edition. Oxford, Oxford University Press

  • Bewket W (2009) Rainfall variability and crop production in Ethiopia case study in the Amhara region. In: Proceedings of the 16th international conference of Ethiopian studies, ed. by Svein Ege, Harald Aspen, Birhanu Teferra and Shiferaw Bekele, Trondheim 823-836

  • Cruz RV, Harasawa H, Lal M, Wu S, Anokhin Y, Punsalmaa B, Honda Y et al (2007) Asia. In Climate Change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, ML Parry, OF Canzian, JP Palutiko, PJ Linden, CE Hanson (eds). Cambridge University Press: Cambridge, UK, 469– 506

  • Deressa T, Hassen R, Alemu T, Yesuf M, Ringler C (2008) ‘Analyzing the determinants of farmers’ choice of adaptation measures and perceptions of climate change in the Nile Basin of Ethiopia. International Food Policy Research Institute (IFPRI) Discussion Paper No. 00798, Washington

  • Gopika S, Lekshmi B, Chaidanya K, Varsha KM (2014) Rainfall variability and Rice productivity over Kerala. J Aqua Bio and Fish 2:162–164

    Google Scholar 

  • Government of Telangana, Planning Department (2020) Socio economic outlook: Reinventing Telangana. Author. 1–216. Accessed at https://www.telangana.gov.in/PDFDocuments/Telangana-Socio-Economic-Outlook-2020.pdf

  • Haruhisa A, Jun M (2009) Effects of rainfall variation on rice production in the Ganges-Brahmaputra basin. Clim Res 38:249–260

    Article  Google Scholar 

  • Karmalkar AV, Bradley RS, Diaz HF (2008) Climate change scenario for Costa Rican montane forests. Geophys Res Lett 35:L11702

    Article  Google Scholar 

  • Kelley CP, Mohtadi S, Cane MA, Seager R, Kushnir Y (2015) Climate change in the fertile crescent and implications of the recent Syrian drought. Proc Natl Acad Sci 112(11):3241–3246I

    Article  Google Scholar 

  • Kothawale DR, Rupa Kumar K (2005) On the recent changes in surface temperature trends over India. Geo- phys Res Lett 32:L18714

    Article  Google Scholar 

  • Krishna Kumar K, Patwardhan SK, Kulkarni A, Kamala K, Koteswara Rao K, Jones R (2011) Simulated projections for summer monsoon climate over India by a high -resolution regional climate model (PRECIS). Curr Sci 101:312–326

    Google Scholar 

  • Kumar P, Geneletti D, Nagendra H (2016) Spatial assessment of climate change vulnerability at city scale: a study in Bangalore, India. Land Use Policy 58:514–532

  • Laux P, Kunstmann H, Bardossy A (2008) Predicting the regional onset of the rainy season in West Africa. Int J Climatol 28:329–342

    Article  Google Scholar 

  • Lobell DB, Burke MB, Tebaldi C, Mastrandrea MD, Falcon WP, Naylor RL (2008) Prioritizing climate change adaptation needs for food security in 2030. Science 319:607–610

    Article  Google Scholar 

  • Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao ZC (2007) Global climate projections. In: Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M and Miller HL (eds)]. Cambridge University Press. Cambridge, United Kingdom and New York, NY, USA

  • Moss RH, Edmonds JA, Hibbard KA (2010) The next generation of scenarios for climate change research and assessment. Nature 463:747–756

    Article  Google Scholar 

  • Najmaddin PM, Whelan MJ, Balzter H (2017) Estimating daily reference evapotranspiration in a semi-arid region using remote sensing data. Remote Sens 9:779

    Article  Google Scholar 

  • O’Brien K, Leichenko R, Kelkar U, Venema H, Aandahl G, Tompkins H, Javed A, Bhadwal S, Barg S, Nygaard L, West J (2004) Mapping vulnerability to multiple stressors: climate change and economic globalization in India. Glob Environ Chang 14(4):303–313

    Article  Google Scholar 

  • Porter JR, Xie L, Challinor A, Cochrane K, Howden M, Iqbal MM, Lobell D, Travasso MI (2014) Food security and food production systems. In: Climate change (2014): impacts, adaptation, and vulnerability. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press

  • Rajalakshmi D, Jagannathan R, Geethalakshmi V, Ramaraj AP (2013) Assessing the impact of changing climate on water use index (WUI) and nitrogen use efficiency (NUE). J Agrometeorol Special Issue 2

  • Rajiv Kumar C, Joshi J, Jayaraman M, Bala G, Ravindranath NH (2012) Multi-model climate change projections for India under representative concentration pathways. Curr Sci 103:791–802

    Google Scholar 

  • Rama Rao CA, Raju BMK, Subba Rao AVM, Rao KV, Rao VUM, Ramachandran K, Venkateswarlu B, Sikka AK (2013) Atlas on vulnerability of Indian agriculture to climate change. Central Research Institute for Dryland Agriculture, Hyderabad P 116

  • Rama Rao CA, Raju BMK, Subba Rao AVM, Rao KV, Rao VUM, Ramachandran K, Venkateswarlu B, Sikka AK, Srinivasa Rao M, Maheswari M, Srinivasa Rao CH (2016) A district level assessment of vulnerability of Indian agriculture to climate change. Curr Sci 110:1939–1946

    Article  Google Scholar 

  • Ravindranath NH, Rao S, Sharma N, Nair M, Gopalakrishnan R, Rao AS, Malaviya S, Tiwari R, Anitha S, Madhushree M, Niharika K, Bala G (2011) Climate change vulnerability profiles for north East India. Curr Sci 101(3):384–394

    Google Scholar 

  • Ruane AC, Goldberg R, Chryssanthacopoulos J (2015) Climate forcing datasets for agricultural modeling: merged products for gap-filling and historical climate series estimation. Agric Forest Meteorol 200:233–248

    Article  Google Scholar 

  • Ruane AC, McDermid SP (2017) Selection of a representative subset of global climate models that captures the profile of regional changes for integrated climate impacts assessment. Earth Perspectives 4(1):1–20

    Article  Google Scholar 

  • Rupa Kumar K, Sahai AK, Krishna Kumar K, Patwardhan SK, Mishra PK, Revadekar JV, Kamala K, Pant GB (2006) High- resolution climate change scenarios for India for the 21st century. Curr Sci 90:334–345

    Google Scholar 

  • Taylor IH, Burke E, McColl L, Falloon P, Harris GR, McNeall D (2012) Contributions to uncertainty in projections of future drought under climate change scenarios. Hydrol Earth Syst Sci Discuss 9:12613–12653

    Article  Google Scholar 

  • Villegas JR, Jarvis A (2010) Downscaling global circulation model outputs: the delta method decision and policy analysis working paper no. 1. International centre for tropical agriculture

  • Wiebe H, Lotze-Campen R, Sands A, Tabeau D, vander Mensbrugghe A, Biewald B, Bodirsky S, Islam A, Kavallari D, Mason-D’Croz C, Müller (2015) Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios. Environ Res Lett 10(8):085010

  • Wilks DS (2011) Statistical methods in the atmospheric sciences, 3rd ed. Academic Press, San Diego

Download references

Funding

This research work financed by the Ministry of Environment, Forest and Climate Change, Govt. of India under The National Adaptation Fund for Climate Change (NAFCC) in the project “Resilient Agricultural Households through Adaptation to Climate Change in Mahbubnagar district, Telangana”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. D. M. Kadiyala.

Additional information

The state of Andhra Pradesh was reorganized into states of Telangana and Andhra Pradesh on 2 June 2014, and 21 new districts were created on 11 October 2016, which lead to 31 districts in Telangana. On 17 February 2019, two more districts were formed taking the total number of districts to 33. This latest change was not accounted for present analysis and we used 31 districts only.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kadiyala, M.D.M., Gummadi, S., Irshad, M.A. et al. Assessment of climate change and vulnerability in Indian state of Telangana for better agricultural planning. Theor Appl Climatol 143, 309–325 (2021). https://doi.org/10.1007/s00704-020-03425-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-020-03425-8

Keywords

  • Climate change
  • Vulnerability
  • Agriculture and adaptation