Comparison of Climate Change Effects on Wheat Production under Different Representative Concentration Pathway Scenarios in North Kazakhstan

Zhanassyl Teleubay (), Farabi Yermekov, Arman Rustembayev, Sultan Topayev, Askar Zhabayev, Ismail Tokbergenov, Valentina Garkushina, Amangeldy Igilmanov, Vakhtang Shelia and Gerrit Hoogenboom
Additional contact information
Zhanassyl Teleubay: Department of Geography and Atmospheric Sciences, The Ohio State University, Columbus, OH 43210, USA
Farabi Yermekov: Center for Technological Competence in the Field of Digitalization of the Agro-Industrial Complex, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan
Arman Rustembayev: Center for Technological Competence in the Field of Digitalization of the Agro-Industrial Complex, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan
Sultan Topayev: Center for Technological Competence in the Field of Digitalization of the Agro-Industrial Complex, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan
Askar Zhabayev: Center for Technological Competence in the Field of Digitalization of the Agro-Industrial Complex, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan
Ismail Tokbergenov: Center for Technological Competence in the Field of Digitalization of the Agro-Industrial Complex, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan
Valentina Garkushina: Faculty of Land Management, Architecture and Design, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan
Amangeldy Igilmanov: Faculty of Land Management, Architecture and Design, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan
Vakhtang Shelia: Department of Agricultural and Biological Engineering, Global Food Systems Institute, University of Florida, Gainesville, FL 32611, USA
Gerrit Hoogenboom: Department of Agricultural and Biological Engineering, Global Food Systems Institute, University of Florida, Gainesville, FL 32611, USA

Sustainability, 2023, vol. 16, issue 1, 1-15

Abstract: Adverse weather conditions, once rare anomalies, are now becoming increasingly commonplace, causing heavy losses to crops and livestock. One of the most immediate and far-reaching concerns is the potential impact on agricultural productivity and global food security. Although studies combining crop models and future climate data have been previously carried out, such research work in Central Asia is limited in the international literature. The current research aims to harness the predictive capabilities of the CRAFT (CCAFS Regional Agricultural Forecasting Toolbox) to predict and comprehend the ramifications stemming from three distinct RCPs, 2.6, 4.5, and 8.5, on wheat yield. As a result, the arid steppe zone was found to be the most sensitive to an increase in greenhouse gases in the atmosphere, since the yield difference between RCPs 2.6 and 8.5 accounted for almost 110 kg/ha (16.4%) and for 77.1 kg/ha (10.4%) between RCPs 4.5 and 8.5, followed by the small hilly zone with an average loss of 90.1 and 58.5 kg/ha for RCPs 2.6–8.5 and RCPs 4.5–8.5, respectively. The research findings indicated the loss of more than 10% of wheat in the arid steppe zone, 7.6% in the small hilly zone, 7.5% in the forest steppe zone, and 6% in the colo steppe zone due to climate change if the modeled RCP 8.5 scenario occurs without any technological modernization and genetic modification. The average wheat yield failure in the North Kazakhstan region accounted for 25.2, 59.5, and 84.7 kg/ha for RCPs 2.6–4.5, 4.5–8.5, and 2.6–8.5, respectively, which could lead to food disasters at a regional scale. Overall, the CRAFT using the DSSAT crop modeling system, combined with the climate predictions, showed great potential in assessing climate change effects on wheat yield under different climate scenarios in the North Kazakhstan region. We believe that the results obtained will be helpful during the development and zoning of modified, drought-resistant wheat varieties and the cultivation of new crops in the region.

Keywords: agriculture; food security; crop modeling; RCP; wheat yield prediction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/1/293/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/1/293/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2023:i:1:p:293-:d:1309459

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().