IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i6p3697-d776221.html
   My bibliography  Save this article

Analysis of SPI as a Drought Indicator during the Maize Growing Period in the Çukurova Region (Turkey)

Author

Listed:
  • Roman Rolbiecki

    (Department of Agrometeorology, Plant Irrigation and Horticulture, Faculty of Agriculture and Biotechnology, Bydgoszcz University of Science and Technology, 85-029 Bydgoszcz, Poland)

  • Ali Yücel

    (Osmaniye Vocational School, Construction Technology, University of Osmaniye Korkut Ata, 80000 Osmaniye, Turkey)

  • Joanna Kocięcka

    (Department of Land Improvement, Environment Development and Spatial Management, Faculty of Environmental Engineering and Mechanical Engineering, Poznan University of Life Sciences, Piątkowska 94, 60-649 Poznań, Poland)

  • Atılgan Atilgan

    (Department of Biosystems Engineering, Faculty of Engineering, Alanya Alaaddin Keykubat University, 07450 Antalya, Turkey)

  • Monika Marković

    (Department for Plant Production and Biotechnology, Faculty of Agrobiotechnical Scineces, University of Josip Juraj Strossmayer, 31000 Osijek, Croatia)

  • Daniel Liberacki

    (Department of Land Improvement, Environment Development and Spatial Management, Faculty of Environmental Engineering and Mechanical Engineering, Poznan University of Life Sciences, Piątkowska 94, 60-649 Poznań, Poland)

Abstract

One of the major challenges for agriculture related to climate change is drought. The increasing temperatures and decreasing precipitation in many parts of the world have enhanced the frequency and severity of drought events. Therefore, a detailed analysis is required in order to determine the drought frequency and take the necessary precautions. In this study, the climatic conditions in the agricultural region of Çukurova (Turkey) were analysed. Meteorological data for the three provinces of Adana, Mersin, and Osmaniye were used. The aim was to calculate the Standardized Precipitation Index (SPI) for each of the three provinces analysed, and to use these values to detect drought during the different growth periods of maize. We also investigated whether the SPI values for the last 30 years differ significantly between the provinces. Furthermore, indicators such as the duration, magnitude, severity, recurrence, and drought frequency were also calculated. Using linear regression analysis, we determined whether there were trends in the multi-year data for the total precipitation and mean temperature. In addition, the water deficiency was determined by examining the amount of water required by maize and the adequacy of the precipitation in each development period. As a result, it was found that the Çukurova region is prone to droughts, but they follow a mild course in most cases. However, no statistically significant differences were observed between the SPI values in the three provinces. The calculated average approximate drought recurrences (Tr) and expected intensities (Iave) were Tr ~ 1.036 years and Iave ~ 5.634 mm year −1 in 3 years for Adana, Tr ~ 1.031 years and Iave ~ −0.312 mm year −1 in 3 years for Mersin, and Tr ~ 1.052 years and Iave ~ −0.084 mm year −1 in 3 years Osmaniye. The research carried out in this paper confirmed that maize cultivation in the Çukurova region is vulnerable to drought, and adaptation actions should be taken immediately.

Suggested Citation

  • Roman Rolbiecki & Ali Yücel & Joanna Kocięcka & Atılgan Atilgan & Monika Marković & Daniel Liberacki, 2022. "Analysis of SPI as a Drought Indicator during the Maize Growing Period in the Çukurova Region (Turkey)," Sustainability, MDPI, vol. 14(6), pages 1-29, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3697-:d:776221
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/6/3697/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/6/3697/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Igbadun, Henry E. & Tarimo, Andrew K.P.R. & Salim, Baanda A. & Mahoo, Henry F., 2007. "Evaluation of selected crop water production functions for an irrigated maize crop," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 1-10, December.
    2. Mohammad Asadi Zarch & Hossein Malekinezhad & Mohammad Mobin & Mohammad Dastorani & Mohammad Kousari, 2011. "Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3485-3504, October.
    3. Aiguo Dai, 2013. "Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(1), pages 52-58, January.
    4. Cai, Fu & Zhang, Yushu & Mi, Na & Ming, Huiqing & Zhang, Shujie & Zhang, Hui & Zhao, Xianli, 2020. "Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree," Agricultural Water Management, Elsevier, vol. 241(C).
    5. B. Bonaccorso & I. Bordi & A. Cancelliere & G. Rossi & A. Sutera, 2003. "Spatial Variability of Drought: An Analysis of the SPI in Sicily," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(4), pages 273-296, August.
    6. Panagiotis Angelidis & Fotios Maris & Nikos Kotsovinos & Vlassios Hrissanthou, 2012. "Computation of Drought Index SPI with Alternative Distribution Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2453-2473, July.
    7. Zhu, Xiufang & Xu, Kun & Liu, Ying & Guo, Rui & Chen, Lingyi, 2021. "Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model," Agricultural Systems, Elsevier, vol. 189(C).
    8. Daniel Liberacki & Joanna Kocięcka & Piotr Stachowski & Roman Rolbiecki & Stanisław Rolbiecki & Hicran A. Sadan & Anna Figas & Barbara Jagosz & Dorota Wichrowska & Wiesław Ptach & Piotr Prus & Ferenc , 2022. "Water Needs of Willow ( Salix L.) in Western Poland," Energies, MDPI, vol. 15(2), pages 1-19, January.
    9. Aiguo Dai, 2013. "Erratum: Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(2), pages 171-171, February.
    10. Hanjra, Munir A. & Qureshi, M. Ejaz, 2010. "Global water crisis and future food security in an era of climate change," Food Policy, Elsevier, vol. 35(5), pages 365-377, October.
    11. Anonymous, 1966. "World Meteorological Organization," International Organization, Cambridge University Press, vol. 20(4), pages 842-844, October.
    12. Wolfram Schlenker & Michael J. Roberts, 2008. "Estimating the Impact of Climate Change on Crop Yields: The Importance of Nonlinear Temperature Effects," NBER Working Papers 13799, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Felicia Cheţan & Teodor Rusu & Roxana Elena Călugăr & Cornel Chețan & Alina Şimon & Adrian Ceclan & Marius Bărdaș & Olimpia Smaranda Mintaș, 2022. "Research on the Interdependence Linkages between Soil Tillage Systems and Climate Factors on Maize Crop," Land, MDPI, vol. 11(10), pages 1-14, October.
    2. Dilayda Soylu Pekpostalci & Rifat Tur & Ali Danandeh Mehr & Mohammad Amin Vazifekhah Ghaffari & Dominika Dąbrowska & Vahid Nourani, 2023. "Drought Monitoring and Forecasting across Turkey: A Contemporary Review," Sustainability, MDPI, vol. 15(7), pages 1-23, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guga, Suri & Ma, Yining & Riao, Dao & Zhi, Feng & Xu, Jie & Zhang, Jiquan, 2023. "Drought monitoring of sugarcane and dynamic variation characteristics under global warming: A case study of Guangxi, China," Agricultural Water Management, Elsevier, vol. 275(C).
    2. Javad Bazrafshan, 2017. "Effect of Air Temperature on Historical Trend of Long-Term Droughts in Different Climates of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4683-4698, November.
    3. Jenq-Tzong Shiau & Jia-Wei Lin, 2016. "Clustering Quantile Regression-Based Drought Trends in Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1053-1069, February.
    4. Lingkui Meng & Ting Dong & Wen Zhang, 2016. "Drought monitoring using an Integrated Drought Condition Index (IDCI) derived from multi-sensor remote sensing data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1135-1152, January.
    5. Lingkui Meng & Ting Dong & Wen Zhang, 2016. "Drought monitoring using an Integrated Drought Condition Index (IDCI) derived from multi-sensor remote sensing data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1135-1152, January.
    6. Jale Amanuel Dufera & Tewodros Addisu Yate & Tadesse Tujuba Kenea, 2023. "Spatiotemporal analysis of drought in Oromia regional state of Ethiopia over the period 1989 to 2019," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(2), pages 1569-1609, June.
    7. Yixuan Wang & Jianzhu Li & Ping Feng & Rong Hu, 2015. "A Time-Dependent Drought Index for Non-Stationary Precipitation Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5631-5647, December.
    8. Jinhua Wen & Yian Hua & Chenkai Cai & Shiwu Wang & Helong Wang & Xinyan Zhou & Jian Huang & Jianqun Wang, 2023. "Probabilistic Forecast and Risk Assessment of Flash Droughts Based on Numeric Weather Forecast: A Case Study in Zhejiang, China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    9. Anna Jędrejek & Rafał Pudełko, 2023. "Exploring the Potential Use of Sentinel-1 and 2 Satellite Imagery for Monitoring Winter Wheat Growth under Agricultural Drought Conditions in North-Western Poland," Agriculture, MDPI, vol. 13(9), pages 1-17, September.
    10. Rengui Jiang & Jiancang Xie & Hailong He & Jungang Luo & Jiwei Zhu, 2015. "Use of four drought indices for evaluating drought characteristics under climate change in Shaanxi, China: 1951–2012," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2885-2903, February.
    11. Ashenafi Yimam Kassaye & Guangcheng Shao & Xiaojun Wang & Shiqing Wu, 2021. "Quantification of drought severity change in Ethiopia during 1952–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5096-5121, April.
    12. Gilles Dufrénot & William Ginn & Marc Pourroy, 2023. "ENSO Climate Patterns on Global Economic Conditions," AMSE Working Papers 2308, Aix-Marseille School of Economics, France.
    13. Nabeel Bani Hani & Fakher J. Aukour & Mohammed I. Al-Qinna, 2022. "Investigating the Pearl Millet ( Pennisetum glaucum ) as a Climate-Smart Drought-Tolerant Crop under Jordanian Arid Environments," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    14. Dingcai Yin & Xiaohua Gou & Haijiang Yang & Kai Wang & Jie Liu & Yiran Zhang & Linlin Gao, 2023. "Elevation-dependent tree growth response to recent warming and drought on eastern Tibetan Plateau," Climatic Change, Springer, vol. 176(6), pages 1-18, June.
    15. Hong, Minki & Lee, Sang-Hyun & Lee, Seung-Jae & Choi, Jin-Yong, 2021. "Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit," Agricultural Water Management, Elsevier, vol. 243(C).
    16. Shan Jiang & Jian Zhou & Guojie Wang & Qigen Lin & Ziyan Chen & Yanjun Wang & Buda Su, 2022. "Cropland Exposed to Drought Is Overestimated without Considering the CO 2 Effect in the Arid Climatic Region of China," Land, MDPI, vol. 11(6), pages 1-21, June.
    17. L. Lin & A. Gettelman & Q. Fu & Y. Xu, 2018. "Simulated differences in 21st century aridity due to different scenarios of greenhouse gases and aerosols," Climatic Change, Springer, vol. 146(3), pages 407-422, February.
    18. Adeline Bichet & Arona Diedhiou & Benoit Hingray & Guillaume Evin & N’Datchoh Evelyne Touré & Klutse Nana Ama Browne & Kouakou Kouadio, 2020. "Assessing uncertainties in the regional projections of precipitation in CORDEX-AFRICA," Climatic Change, Springer, vol. 162(2), pages 583-601, September.
    19. Trnka, Miroslav & Vizina, Adam & Hanel, Martin & Balek, Jan & Fischer, Milan & Hlavinka, Petr & Semerádová, Daniela & Štěpánek, Petr & Zahradníček, Pavel & Skalák, Petr & Eitzinger, Josef & Dubrovský,, 2022. "Increasing available water capacity as a factor for increasing drought resilience or potential conflict over water resources under present and future climate conditions," Agricultural Water Management, Elsevier, vol. 264(C).
    20. Yu, Chaoqing & Huang, Xiao & Chen, Han & Huang, Guorui & Ni, Shaoqiang & Wright, Jonathon S. & Hall, Jim & Ciais, Philippe & Zhang, Jie & Xiao, Yuchen & Sun, Zhanli & Wang, Xuhui & Yu, Le, 2018. "Assessing the impacts of extreme agricultural droughts in China under climate and socioeconomic changes," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6, pages 689-703.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3697-:d:776221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.