Assessing current cropping patterns in a semi-arid basin using cost-benefit and water productivity indicators

Nabavi, Seyedsaeid; Malekian, Arash; Mashhadi, Naser; Ahmadaali, Khaled; Mostafazadeh, Raoof; Shahbazi, Ali

doi:10.22098/mmws.2026.18950.1739

دانشگاه محقق اردبیلی

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	Assessing current cropping patterns in a semi-arid basin using cost-benefit and water productivity indicators
مدل سازی و مدیریت آب و خاک
مقاله 13، دوره 6، شماره 2، 1405، صفحه 252-266 اصل مقاله (5.29 M)
نوع مقاله: Special Issue: New Approaches to Water and Soil Management and Modeling
شناسه دیجیتال (DOI): 10.22098/mmws.2026.18950.1739
نویسندگان
Seyedsaeid Nabavi¹؛ Arash Malekian^* ²؛ Naser Mashhadi³؛ Khaled Ahmadaali⁴؛ Raoof Mostafazadeh⁵؛ Ali Shahbazi⁶
¹Ph.D. Candidate of Watershed Management Sciences and Engineering, Department of Reclamation of Arid & Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran
²Professor, Department of Reclamation of Arid & Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran
³Assistant Professor, International Desert Research Center, University of Tehran, Karaj, Iran
⁴Associate Professor, Department of Irrigation and Reclamation, Faculty of Agriculture, University of Tehran, Karaj, Iran
⁵Associate Professor, Department of Natural Resources and Member of Water Management Research Center, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran
⁶Ph.D. of Watershed Management Sciences and Engineering, Natural Resources and Watershed Management Organization of Alborz Province, Karaj, Iran
چکیده
Optimal crop patterns improve both profitability and sustainability in land resource management. This study assessed current crop patterns in the Baliqlu Chay River Basin using water productivity, efficiency, labor, and net profit indices. Data from Ardabil, Nir, and Sareyn (2022–2023) show that potato is the most water- and labor-intensive crop (~6,000 m³/ha and >30 person-days/ha) but yields the highest net profit (~2.67 billion IRR/ha). Wheat has the lowest profit (0.5–0.6 billion IRR/ha) due to lower input requirements. Barley, alfalfa, and canola are more suitable for water-limited conditions. Spatially, Ardabil accounts for 91.8% of basin profits, while Nir and Sareyn contribute less than 5%, indicating strong regional disparities. The results show that expanding cultivated area alone does not ensure higher returns; instead, adaptive water management and efficient use of inputs are crucial. Crop performance was further assessed using water productivity indicators, including PWP, GEWP, and NEWP. Despite its relatively high water requirement, potato exhibits the highest water productivity among the studied crops, with PWP values ranging from approximately 5.0 to 5.8 kg/m³, GEWP from 454 to 527 thousand IRR/m³, and NEWP from 348 to 526 thousand IRR/m³. Wheat, although characterized by lower physical productivity (PWP≈1.1-1.9 kg/m³), remains a strategic staple crop with comparatively favorable economic water productivity (NEWP≈133-250 thousand IRR/m³). In contrast, barley, canola, and particularly alfalfa demonstrate lower water productivity levels, with alfalfa exhibiting the lowest net economic water productivity (NEWP≈38-79 thousand IRR/m³). This lower efficiency indicates alfalfa’s agro-ecological role in fodder production and soil improvement rather than economic water productivity. The results support adaptive cropping systems that combine economic and hydrological indicators to reduce water stress while improving watershed-scale sustainability.
کلیدواژه‌ها
Economic analysis؛ Net crop profit؛ Crop water requirement؛ Baliqlu Chay Watershed؛ Regional agricultural policy

مراجع
baspour, K. C., Faramarzi, M., Ghasemi, S. S., & Yang, H. (2009). Assessing the impact of climate change on water resources in Iran. Water resources research, 45(10), 1-16. doi: 10.1029/2008WR007615. Akhavan Giglou, K., Kheiry, M., Ahmadpari, H., Abbasi, S., & Kalateh, F. (2023). Investigating virtual water content and physical and economic water productivity indicators in crops (Case study: Moghan irrigation network, Ardabil province). Water and Soil Management and Modelling, 3(3), 277-295. doi: 10.22098/mmws.2023.11899.1186. Amini Fasakhodi, A., Nouri, S. H., & Amini, M. (2010). Water resources sustainability and optimal cropping pattern in farming systems; a multi-objective fractional goal programming approach. Water resources management, 24(15),4639-4657. doi: 10.1007/s11269-010-9683-z Amiri, A., Mehrjerdi, Y. Z., Jalalimanesh, A., & Sadegheih, A. (2020). Food system sustainability investigation using system dynamics approach. Journal of Cleaner Production, 277, 124040. doi: 10.1016/j.jclepro.2020.124040 Asadzadeh Sharafeh, H., & Raoof, M. (2018). Comparison of water use efficiency in sprinkler and hydroflume irrigation systems (case study: Ardabil Plain). Water and Irrigation Management, 8(1), 55-68. doi: 10.22059/jwim.2018.239976.556.[In Persion] Asiabi Hir, R., Mostafazadeh, R., Raoof, M., & Esmali Ouri, A. (2018). Multi-criteria evaluation of water poverty index spatial variations in some watersheds of Ardabil Province. Iranian journal of Ecohydrology, 4(4), 943-1268. doi: 10.22059/ije.2017.63231. [In Persion] Azizi, J., Zarei, N., & Ali, S. (2022). The short-and long-term impacts of climate change on the irrigated barley yield in Iran: an application of dynamic ordinary least squares approach. Environmental Science and Pollution Research, 29(26), 40169-40177. doi: 10.1007/s11356-022-19046-9 AziziMobaser, J. and Faraji Amogein, E. (2024). Determining the water requirement of the crop pattern of Ardabil Plain based on up-to-date meteorological statistics. Water and Soil Management and Modelling, 4(1), 285-298. doi: 10.22098/mmws.2023.12358.1231 Chouchane, H., Krol, M. S., & Hoekstra, A. Y. (2020). Changing global cropping patterns to minimize national blue water scarcity. Hydrology and earth system sciences, 24(6), 3015-3031.doi: 10.5194/hess-24-3015-2020 Chupilko, T. A., Ulianovska, Y. V., Mormul, M. F., Shchytov, D. M., Shchytov, O. M., & Chupilko, O. S. (2025). Мodeling of security indicators of the national economy and data processing using Python. http://biblio.umsf.dp.ua/jspui/handle/123456789/7069 Davarpanah, S., Hashemibonab, S., & Khodaverdizadeh, M. (2017). Assessment agricultural sustainability of Ardebil Province using a hybrid approach AHP and TOPSIS. Journal of Agroecology, 30-17, 2(7). https://sid.ir/paper/254760/en. [In Persion] Fallahi, E., & Gholinezhad, S. (2016). Optimal cropping pattern based on multiple economic, regional, and agricultural sustainability criteria in Sari, Iran: Application of a Consolidated Model of AHP and Linear Programming. Journal of Agricultural Economics and Development, 30(1), 37-49. doi: 10.22067/jead2.v30i1.46040 .[In Persion] FAO. (2017). Water for Sustainable Food and Agriculture. Food and Agriculture Organization of the United Nations. https://openknowledge.fao.org/server/api/core/bitstreams/b48cb758-48bc-4dc5-a508-e5a0d61fb365/content Javanbakht-Sheikhahmad, F., Rostami, F., Azadi, H., Veisi, H., Amiri, F., & Witlox, F. (2024). Agricultural water resource management in the socio-hydrology: A framework for using system dynamics simulation. Water Resources Management, 38(8), 2753-2772. doi: 10.1007/s11269-024-03786-z. Khazaei, M., Saleh, I., Chakeralhoseini, M. and Farzin, M. (2023). Effect of water price under different allocation scenarios on crop pattern economic productivity. Water and Soil Management and Modelling, 3(3), 196-211. doi: 10.22098/MMWS.2022.11764.1166. Liu, Q., Niu, J., Wood, J. D., & Kang, S. (2022). Spatial optimization of cropping pattern in the upper-middle reaches of the Heihe River basin, Northwest China. Agricultural Water Management,264,107479.doi: 10.1016/j.agwat.2022.107479. Lys, P., & Cachia, F. (2016). Handbook on agricultural cost of production statistics. Food and Agriculture Organization of the United Nations:Rome,Italy.https://www.fao.org/3/ca6411en/ca6411en.pdf Mallah, S., Anari, M. G., Balali, M. R., Asadi, H., Davatgar, N., Varmazyari, H., Stellacci A. M., & Castellini, M. (2025). Cropping pattern effects on water supply-demand balance in a traditional irrigation network of a semi-arid region of Iran. The Journal of Agricultural Science, 1-17. doi: 10.1017/S0021859625000206 McKinney, W. (2012). Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.". https://www.academia.edu/download/61161388/Python_for_Data_Analysis_Data_Wrangling20191107-58817-x7d7z4.pdf Mohammad, L., Bandyopadhyay, J., Mondal, I., Altuwaijri, H. A., Khatun, S., Hossain, S. K., & Juliev, M. (2025). Assessing cropping system dynamics over three decades: remote sensing and GIS insights in Murshidabad-Jiaganj Block. Environmental Monitoring and Assessment, 197(2), 1-23. doi: 10.1007/s10661-024-13545-7 Naderi, M. M., Mirchi, A., Bavani, A. R. M., Goharian, E., & Madani, K. (2021). System dynamics simulation of regional water supply and demand using a food-energy-water nexus approach: Application to Qazvin Plain, Iran. Journal of environmental management, 280, 111843. doi: 10.1016/j.jenvman.2020.111843 Osama, S., Elkholy, M., & Kansoh, R. M. (2017). Optimization of the cropping pattern in Egypt. Alexandria Engineering Journal, 56(4), 557-566. doi: 10.1016/j.aej.2017.04.015 Pham, Y., Reardon-Smith, K., & Deo, R. C. (2021). Evaluating management strategies for sustainable crop production under changing climate conditions: A system dynamics approach. Journal of Environmental Management, 292, 112790. doi: 10.1016/j.jenvman.2021.112790 Plan and Budget Organization of Iran. (2024). National Budget Bill of the Islamic Republic of Iran for the Fiscal Year 2024. Tehran: Plan and Budget Organization. https://www.mporg.ir/en Raoof, M. & Alioghli, S. (2020). Estimation of environmental flow of the Balikhlochai River and evaluation impact of Yamchi dam operation on hydrological and environmental regime of the river. Journal of Natural Environment, 73(2), 299-312. doi: 10.22059/jne.2020.295047.1880. [In Persian] Rodríguez-Pose, A., & Hardy, D. (2015). Addressing poverty and inequality in the rural economy from a global perspective. Applied Geography, 61, 11-23. doi: 10.1016/j.apgeog.2015.02.005 Sabzevari, A., Rajabipour, A., Bagheri, N., & Omid, M. (2020). Determining the cropping pattern of agricultural products as a strategy to reduce food security disaster in Iran. Environmental Management Hazards, 7(1), 23-38. doi: 10.22059/jhsci.2020.298174.542. [In Persian] Sedighkia, M., Datta, B., & Razavi, S. (2023). Optimizing agricultural cropping patterns under irrigation water use restrictions due to environmental flow requirements and climate change. Water Resources and Economics, 41, 100216. doi: 10.1016/j.wre.2023.100216. Tariq, A., Yan, J., Gagnon, A. S., Riaz Khan, M., & Mumtaz, F. (2023). Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest. Geo-Spatial Information Science, 26(3), 302-320. doi: 10.1080/10095020.2022.2100287 Zhu, Y., Zhang, Y., Ma, L., Yu, L., & Wu, L. (2024). Simulating the dynamics of cultivated land use in the farming regions of China: A social-economic-ecological system perspective. Journal of Cleaner Production, 478, 143907. doi: 10.1016/j.jclepro.2024.143907
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Assessing current cropping patterns in a semi-arid basin using cost-benefit and water productivity indicators