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Can climate-smart agriculture mitigate the Urmia Lake tragedy in its eastern basin?

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  • Maleki, Tahereh
  • Koohestani, Hossein
  • Keshavarz, Marzieh

Abstract

Urmia Lake, which is one of the largest hypersaline lakes in the world, has experienced an excessive reduction of water level because of climatic change and anthropogenic influences. To mitigate this tragedy, several agricultural water management schemes have been initiated. However, many restoration programs have proven ineffective. To counter the lake’s disappearance, effective climate-smart agriculture (CSA) interventions are imperative. Nevertheless, the potential benefits, opportunities, risks, costs and incentive mechanisms of CSA interventions have not been well documented. Therefore, this qualitative research was performed in the eastern part of the Urmia Lake basin to identify the best CSA intervention for restoration of the lake and investigate the major drivers of CSA development. Using the “benefits, opportunities, risks, and costs” method, 14 influential factors were explored. Also, fuzzy VIKOR analysis indicated an urgent need of developing water-smart agriculture (WSA) in the Urmia Lake basin, where water scarcity, poor water governance and low water use efficiency are significant problems. Interpretive structural modeling and MICMAC analysis suggested that policy making and planning, research and development, monitoring and evaluation, education and extension services, supports and services, institutions and degree of their collaborations, knowledge and attitude, and infrastructures and farm structures can enhance the application of WSA interventions. Some recommendations and implications are offered to facilitate the adoption and development of WSA practices and technologies.

Suggested Citation

  • Maleki, Tahereh & Koohestani, Hossein & Keshavarz, Marzieh, 2022. "Can climate-smart agriculture mitigate the Urmia Lake tragedy in its eastern basin?," Agricultural Water Management, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:agiwat:v:260:y:2022:i:c:s0378377421005333
    DOI: 10.1016/j.agwat.2021.107256
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    1. Anita Wreford & Ada Ignaciuk & Guillaume Gruère, 2017. "Overcoming barriers to the adoption of climate-friendly practices in agriculture," OECD Food, Agriculture and Fisheries Papers 101, OECD Publishing.
    2. Taheri, Mercedeh & Emadzadeh, Maryam & Gholizadeh, Mohsen & Tajrishi, Masoud & Ahmadi, Mehdi & Moradi, Melika, 2019. "Investigating the temporal and spatial variations of water consumption in Urmia Lake River Basin considering the climate and anthropogenic effects on the agriculture in the basin," Agricultural Water Management, Elsevier, vol. 213(C), pages 782-791.
    3. Ali Torabi Haghighi & Nasim Fazel & Ali Akbar Hekmatzadeh & Björn Klöve, 2018. "Analysis of Effective Environmental Flow Release Strategies for Lake Urmia Restoration," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3595-3609, September.
    4. Kolawole Ogundari & Olufemi D. Bolarinwa, 2018. "Impact of agricultural innovation adoption: a meta†analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 217-236, April.
    5. Marc Schut & Annemarie van Paassen & Cees Leeuwis & Laurens Klerkx, 2014. "Towards dynamic research configurations: A framework for reflection on the contribution of research to policy and innovation processes," Science and Public Policy, Oxford University Press, vol. 41(2), pages 207-218.
    6. Khatri-Chhetri, Arun & Pant, Anjali & Aggarwal, Pramod K. & Vasireddy, Vijya Vardhan & Yadav, Akhilesh, 2019. "Stakeholders prioritization of climate-smart agriculture interventions: Evaluation of a framework," Agricultural Systems, Elsevier, vol. 174(C), pages 23-31.
    7. Andrieu, N. & Sogoba, B. & Zougmore, R. & Howland, F. & Samake, O. & Bonilla-Findji, O. & Lizarazo, M. & Nowak, A. & Dembele, C. & Corner-Dolloff, C., 2017. "Prioritizing investments for climate-smart agriculture: Lessons learned from Mali," Agricultural Systems, Elsevier, vol. 154(C), pages 13-24.
    8. Leslie Lipper & Nancy McCarthy & David Zilberman & Solomon Asfaw & Giacomo Branca (ed.), 2018. "Climate Smart Agriculture," Natural Resource Management and Policy, Springer, number 978-3-319-61194-5, March.
    9. Westermann, Olaf & Förch, Wiebke & Thornton, Philip & Körner, Jana & Cramer, Laura & Campbell, Bruce, 2018. "Scaling up agricultural interventions: Case studies of climate-smart agriculture," Agricultural Systems, Elsevier, vol. 165(C), pages 283-293.
    10. Nancy McCarthy & Leslie Lipper & David Zilberman, 2018. "Economics of Climate Smart Agriculture: An Overview," Natural Resource Management and Policy, in: Leslie Lipper & Nancy McCarthy & David Zilberman & Solomon Asfaw & Giacomo Branca (ed.), Climate Smart Agriculture, pages 31-47, Springer.
    11. Kuehne, Geoff & Llewellyn, Rick & Pannell, David J. & Wilkinson, Roger & Dolling, Perry & Ouzman, Jackie & Ewing, Mike, 2017. "Predicting farmer uptake of new agricultural practices: A tool for research, extension and policy," Agricultural Systems, Elsevier, vol. 156(C), pages 115-125.
    12. Thomas L. Saaty & Luis G. Vargas, 2012. "Models, Methods, Concepts & Applications of the Analytic Hierarchy Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-3597-6, April.
    13. D’Agostino, D. & Borg, M. & Hallett, S.H. & Sakrabani, R.S. & Thompson, A. & Papadimitriou, L. & Knox, J.W., 2020. "Multi-stakeholder analysis to improve agricultural water management policy and practice in Malta," Agricultural Water Management, Elsevier, vol. 229(C).
    14. Shirmohammadi, Bagher & Malekian, Arash & Salajegheh, Ali & Taheri, Bahram & Azarnivand, Hossein & Malek, Ziga & Verburg, Peter H., 2020. "Scenario analysis for integrated water resources management under future land use change in the Urmia Lake region, Iran," Land Use Policy, Elsevier, vol. 90(C).
    15. Thornton, Philip K. & Whitbread, Anthony & Baedeker, Tobias & Cairns, Jill & Claessens, Lieven & Baethgen, Walter & Bunn, Christian & Friedmann, Michael & Giller, Ken E. & Herrero, Mario & Howden, Mar, 2018. "A framework for priority-setting in climate smart agriculture research," Agricultural Systems, Elsevier, vol. 167(C), pages 161-175.
    16. Leslie Lipper & Philip Thornton & Bruce M. Campbell & Tobias Baedeker & Ademola Braimoh & Martin Bwalya & Patrick Caron & Andrea Cattaneo & Dennis Garrity & Kevin Henry & Ryan Hottle & Louise Jackson , 2014. "Climate-smart agriculture for food security," Nature Climate Change, Nature, vol. 4(12), pages 1068-1072, December.
    17. Ward, Patrick S. & Bell, Andrew R. & Droppelmann, Klaus & Benton, Tim G., 2018. "Early adoption of conservation agriculture practices: Understanding partial compliance in programs with multiple adoption decisions," Land Use Policy, Elsevier, vol. 70(C), pages 27-37.
    18. Alizade Govarchin Ghale, Yusuf & Baykara, Metin & Unal, Alper, 2019. "Investigating the interaction between agricultural lands and Urmia Lake ecosystem using remote sensing techniques and hydro-climatic data analysis," Agricultural Water Management, Elsevier, vol. 221(C), pages 566-579.
    19. Ogundari, Kolawole & Bolarinwa, Olufemi D., 2018. "Impact of agricultural innovation adoption: a meta-analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.
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    Cited by:

    1. Rasoul Maleki & Mehdi Nooripoor & Zeinab Sharifi & Dacinia Crina Petrescu, 2023. "Application of community‐based system dynamics for the management of rural households' vulnerability to the drying of Urmia Lake," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(3), pages 573-585, May.
    2. Zhang, Shuo & Kang, Yan & Gao, Xuan & Chen, Peiru & Cheng, Xiao & Song, Songbai & Li, Lingjie, 2023. "Optimal reservoir operation and risk analysis of agriculture water supply considering encounter uncertainty of precipitation in irrigation area and runoff from upstream," Agricultural Water Management, Elsevier, vol. 277(C).

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