Skip to main content
SpringerLink
Log in

Selecting the Right Crops for Cropping Pattern Optimization Based on Social Choice and Fallback Bargaining Methods Considering Stakeholders’ Views

  • Research Paper
  • Published:
Iranian Journal of Science and Technology, Transactions of Civil Engineering Aims and scope Submit manuscript

Abstract

Selection of a cropping pattern that is suitable for available water resources in each region is one of the important strategies for tackling drought and increasing water productivity. So far, many studies have been conducted to optimize cropping patterns, but their prime focus has been on optimizing the cultivation area of each crop. However, considering stakeholders’ interests and criteria in the region causes an increase in the acceptability and implementation of the modeling results. Crop selection that conforms to regional stakeholders’ criteria for cropping pattern optimization is a parameter that has been less considered in the past. The present study proposes a methodology based on four multi-criteria decision-making models including AHP, TOPSIS, PROMETHEE and ELECTRE combined with Borda count, MVR, Condorcet social methods as well as fallback bargaining method in order to select proper crops for cropping pattern optimization. The suggested methodology was used in irrigation and drainage network of Doroudzan Dam in Fars province, Iran, under normal, wet and arid climatic conditions. The results showed, based on the three decision-making methods, wheat has been introduced as the first priority of the farmers in the study area in most of the regions and under different climatic conditions. Applying the fallback bargaining method to reach an agreement and considering the depth of the calculated agreement for each management region under each of the climatic conditions, the results obtained by the fallback bargaining method often maximize the negotiators’ satisfaction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abdi-Dehkordi M, Bozorg-Haddad O, Loáiciga HA (2017) Optimized cropping patterns under climate-change conditions. Clim Change 143:429–443

    Google Scholar 

  • Abed-Elmdoust A, Kerachian R (2012) Water resources allocation using a cooperative game with fuzzy payoffs and fuzzy coalitions. Water Resour Manag 26:3961–3976

    Google Scholar 

  • Afshar A, Mariño MA, Saadatpour M, Afshar A (2011) Fuzzy TOPSIS multi-criteria decision analysis applied to Karun reservoirs system. Water Resour Manag 25:545–563

    Google Scholar 

  • Alizadeh MR, Nikoo MR, Rakhshandehroo GR (2017) Developing a multi-objective conflict-resolution model for optimal groundwater management based on fallback bargaining models and social choice rules: a case study. Water Resour Manag 31:1457–1472

    Google Scholar 

  • Balali V, Zahraie B, Roozbahani A (2012) Integration of ELECTRE III and PROMETHEE II decision-making methods with an interval approach: application in selection of appropriate structural systems. J Comput Civ Eng 28:297–314

    Google Scholar 

  • Behzadian M, Kazemzadeh RB, Albadvi A, Aghdasi M (2010) PROMETHEE: a comprehensive literature review on methodologies and applications. Eur J Oper Res 200:198–215

    MATH  Google Scholar 

  • Behzadian M, Otaghsara SK, Yazdani M, Ignatius J (2012) A state-of the-art survey of TOPSIS applications. Expert Syst Appl 39:13051–13069

    Google Scholar 

  • Brams SJ, Kilgour DM (2001) Fallback bargaining. Group Decis Negot 10:287–316

    Google Scholar 

  • Brans J-P, Mareschal B (2005) PROMETHEE methods. In: Multiple criteria decision analysis: state of the art surveys. Springer, pp 163–186

  • Daneshvar Kakhki M, Shahnoushi Froshani N (2009) The determination of optimal crop pattern with aim of reduction in hazards of environmental. Am J Agric Biol Sci 4:305–310

    Google Scholar 

  • Elsawah S, Guillaume JH, Filatova T, Rook J, Jakeman AJ (2015) A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: from cognitive maps to agent-based models. J Environ Manag 151:500–516

    Google Scholar 

  • Farhadi S, Nikoo MR, Rakhshandehroo GR, Akhbari M, Alizadeh MR (2016) An agent-based-nash modeling framework for sustainable groundwater management: a case study. Agric Water Manag 177:348–358

    Google Scholar 

  • Fars Regional Water Organization (2012) Reports of monitoring, management, operation and maintenance, improvement and repair the Doroudzan irrigation and drainage network: agriculture, social studies and existing operatin condition

  • Ghasemi MM, Karamouz M, Shui LT (2016) Farm-based cropping pattern optimization and conjunctive use planning using piece-wise genetic algorithm (PWGA): a case study. Model Earth Syst Environ 2:25

    Google Scholar 

  • Ghazali M, Honar T, Nikoo MR (2018) A hybrid TOPSIS-agent-based framework for reducing the water demand requested by stakeholders with considering the agents’ characteristics and optimization of cropping pattern. Agric Water Manag 199:71–85

    Google Scholar 

  • Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resource planning and management. Water Resour Manag 21:1553–1566

    Google Scholar 

  • He Y-B, Cai W-M (2016) Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China. J Integr Agric 15:2417–2425

    Google Scholar 

  • Hua W, Hite D, Sohngen B (2005) Assessing the relationship between crop choice and land use change using a Markov model. American Agricultural Economics Association Annual Meeting Providence, Rhode Island

    Google Scholar 

  • Just RE, Zilberman D (1983) Stochastic structure, farm size and technology adoption in developing agriculture. Oxf Econ Pap 35:307–328

    Google Scholar 

  • Karamouz M, Ahmadi A, Nazif S (2009) Development of management schemes in irrigation planning: economic and crop pattern consideration. Trans Civ Eng 16:457–466

    Google Scholar 

  • Karimov AK, Hanjra MA, Šimůnek J, Abdurakhmannov B (2018) Can a change in cropping patterns produce water savings and social gains: a case study from the Fergana Valley, Central Asia. J Hydrol Hydromech 66:189–201

    Google Scholar 

  • Khalkheili TA, Zamani GH (2009) Farmer participation in irrigation management: the case of Doroodzan Dam Irrigation Network. Iran Agric Water Manag 96:859–865

    Google Scholar 

  • Kibriya S, Savio G, Price E, King J (2016) The role of conflict in farmers’ crop choices in North Kivu, Democratic Republic of the Congo. Every Gener Needs Lead 19:99

    Google Scholar 

  • Kipkorir E, Sahli A, Raes D (2002) MIOS: a decision tool for determination of optimal irrigated cropping pattern of a multicrop system under water scarcity constraints. Irrig Drain 51:155–166

    Google Scholar 

  • Li S, Juhász-Horváth L, Pintér L, Rounsevell MD, Harrison PA (2018) Modelling regional cropping patterns under scenarios of climate and socio-economic change in Hungary. Sci Total Environ 622:1611–1620

    Google Scholar 

  • Mahjouri N, Bizhani-Manzar M (2013) Waste load allocation in rivers using fallback bargaining. Water Resour Manag 27:2125–2136

    Google Scholar 

  • Malekian A, Mahdavi M, Kholghi M, Zehtabian GR, Saravi MM, Rouhani H (2012) Optimal planning for water resources allocation (case study: Hableh Roud Basin, Iran). Desert 17:1–8

    Google Scholar 

  • Nafarzadegan AR, Vagharfard H, Nikoo MR, Nohegar A (2018) Socially-optimal and nash pareto-based alternatives for water allocation under uncertainty: an approach and application. Water Resour Manag 32:2985–3000

    Google Scholar 

  • Nikoo MR, Kerachian R, Alizadeh MR (2017a) A fuzzy KNN-based model for significant wave height prediction in large lakes. Oceanologia 60:153–168

    Google Scholar 

  • Nikoo MR, Pourshahabi S, Rezazadeh N, Shafiee ME (2017b) Stakeholder engagement in multi-objective optimization of water quality monitoring network, case study: Karkheh Dam reservoir. Water Sci Technol Water Supply 17:966–974

    Google Scholar 

  • Rabiee Z (2010) Determination of the optimal cropping pattern in scarce water conditions with use of soil water balance in Ordibehesht canal of Doroudzan water district, Water Science and Engineering. Faculty of Agriculture, Shiraz University, p 126

  • Rani YR, Rao PT (2012) Multi objective crop planning for optimal benefits. Int J Eng Res Appl 2:279–287

    Google Scholar 

  • Rawabdeh H, Shatanawi M, Scardigno A, Todorovic M (2010) Optimization of the cropping pattern in Northern and Southern part of the Jordan Valley under drought conditions and limited water availability. Econ Drought Drought Prep Clim Change Context Options Méditerr Sér A 95:199–206

    Google Scholar 

  • Sadati SK, Speelman S, Sabouhi M, Gitizadeh M, Ghahraman B (2014) Optimal irrigation water allocation using a genetic algorithm under various weather conditions. Water 6:3068–3084

    Google Scholar 

  • Sadegh M, Kerachian R (2011) Water resources allocation using solution concepts of fuzzy cooperative games: fuzzy least core and fuzzy weak least core. Water Resour Manag 25:2543–2573

    Google Scholar 

  • Schreinemachers P, Berger T (2011) An agent-based simulation model of human–environment interactions in agricultural systems. Environ Model Softw 26:845–859

    Google Scholar 

  • Shariat R, Roozbahani A, Ebrahimian A (2019) Risk analysis of urban stormwater infrastructure systems using fuzzy spatial multi-criteria decision making. Sci Total Environ 647:1468–1477

    Google Scholar 

  • Sheikhmohammady M, Madani K (2008) Bargaining over the Caspian Sea—the largest lake on the Earth. In: World environmental and water resources congress 2008. Ahupua'a, pp 1–9

  • Shreedhar R, Hiremath CG, Shetty GG (2015) Optimization of cropping pattern using linear programming model for markandeya command area. Int J Sci Eng Res 6:1311–1325

    Google Scholar 

  • Singh G (2012) Factors influencing cropping pattern in Bulandshahr district: with special reference to the size of land holding. Int J Sci Res Publ 2:1–10

    Google Scholar 

  • Singh D, Jaiswal C, Reddy K, Singh R, Bhandarkar D (2001) Optimal cropping pattern in a canal command area. Agric Water Manag 50:1–8

    Google Scholar 

  • Srivastava P, Singh RM (2015) Optimization of cropping pattern in a canal command area using fuzzy programming approach. Water Resour Manag 29:4481–4500

    Google Scholar 

  • Subagadis YH, Grundmann J, Schütze N, Schmitz GH (2014) An integrated approach to conceptualise hydrological and socio-economic interaction for supporting management decisions of coupled groundwater–agricultural systems. Environ Earth Sci 72:4917–4933

    Google Scholar 

  • Toosi SR, Samani J (2014) A new integrated MADM technique combined with ANP, FTOPSIS and fuzzy max–min set method for evaluating water transfer projects. Water Resour Manag 28:4257–4272

    Google Scholar 

  • Wang Z, Zhou Z (2004) Optimization of water allocation in canal systems of Chengai irrigation area. Nat Sci 2:89–94

    Google Scholar 

  • Wineman A, Crawford E (2014) Climate change and crop choice in Zambia: a mathematical programming approach. In: Selected paper prepared for presentation at the Agricultural and Applied Economics Association’s 2014 AAEA Annual Meeting, Minneapolis, MN, July, pp 27–29

  • Zarghaami M (2006) Integrated water resources management in Polrud irrigation system. Water Resour Manag 20:215–225

    Google Scholar 

  • Ziaee M (2014) The effects of topical application of two essential oils against Sitophilus granarius (Coleoptera: Curculionidae) and Tribolium confusum (Coleoptera: Tenebrionidae). J Crop Prot 3:589–595

    Google Scholar 

  • Zingaro D, Portoghese I, Giannoccaro G (2017) Modelling crop pattern changes and water resources exploitation: a case study. Water 9:685

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Water Science and Engineering, Faculty of Agriculture, Shiraz University, Shiraz, Iran

    Tooraj Honar & Mahboubeh Ghazali

  2. Department of Civil and Environmental Engineering, School of Engineering, Shiraz University, Shiraz, Iran

    Mohammad Reza Nikoo

Authors
  1. Tooraj Honar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mahboubeh Ghazali
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohammad Reza Nikoo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tooraj Honar.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 29 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Honar, T., Ghazali, M. & Nikoo, M.R. Selecting the Right Crops for Cropping Pattern Optimization Based on Social Choice and Fallback Bargaining Methods Considering Stakeholders’ Views. Iran J Sci Technol Trans Civ Eng 45, 1077–1088 (2021). https://doi.org/10.1007/s40996-020-00446-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40996-020-00446-1

Keywords

Search

Navigation