IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v19y2017i6d10.1007_s10668-016-9868-6.html
   My bibliography  Save this article

Ecological and economic impacts of different irrigation and fertilization practices: case study of a watershed in the southern Iran

Author

Listed:
  • Azar Sheikhzeinoddin

    (Shiraz University)

  • Abdoulkarim Esmaeili

    (Shiraz University)

Abstract

Best management practices, such as conservation tillage, the optimum level of irrigation, fertilization, are frequently used to reduce non-point source pollution from agricultural land and improve water quality. In this study, we used the soil and water assessment tool to model the impacts of different irrigation (adjusted to crop need), cropping and fertilization practices on total nitrogen loss. The economic impacts of these practices on crop net farm income were also evaluated. For this purpose, the model was calibrated through comparing model outputs with observations to ensure reliable hydrologic, crop yield and nitrate leaching simulations. The results showed that by reducing water or fertilizer or combination of both, we can reduce nitrate leaching. For wheat and corn, the best scenario was S1n1 (combination between reduction by 10 % of water and nitrogen fertilizer application, simultaneously) and S2n3 (combination of 20 and 30 % reduction in water and fertilizer application), respectively. These scenarios are both ecologically and economically desirable. Also, decreasing nitrogen fertilization by 50 % for corn would decrease the nitrate pollution from 101.1 to 32.3 kg N ha−1; therefore, this strategy is ecologically desirable but economically unsound. So, there are opportunities for environmental decision makers to encourage farmers to implement these strategies. Also, since the nitrogen leaching cannot decrease without a reduction in net farm income for crops such as corn; hence, the losses of farmers should be compensated.

Suggested Citation

  • Azar Sheikhzeinoddin & Abdoulkarim Esmaeili, 2017. "Ecological and economic impacts of different irrigation and fertilization practices: case study of a watershed in the southern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2499-2515, December.
  • Handle: RePEc:spr:endesu:v:19:y:2017:i:6:d:10.1007_s10668-016-9868-6
    DOI: 10.1007/s10668-016-9868-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-016-9868-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-016-9868-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pushpa Tuppad & Narayanan Kannan & Raghavan Srinivasan & Colleen Rossi & Jeffrey Arnold, 2010. "Simulation of Agricultural Management Alternatives for Watershed Protection," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3115-3144, September.
    2. Ziaei, A. N. & Sepaskhah, A. R., 2003. "Model for simulation of winter wheat yield under dryland and irrigated conditions," Agricultural Water Management, Elsevier, vol. 58(1), pages 1-17, January.
    3. Bouraoui, Fayçal & Grizzetti, Bruna, 2008. "An integrated modelling framework to estimate the fate of nutrients: Application to the Loire (France)," Ecological Modelling, Elsevier, vol. 212(3), pages 450-459.
    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. Abolfazl Nasseri, 2023. "Effects of tillage practices on wheat production using groundwater-based irrigation: multidimensional analysis of energy use, greenhouse gases emissions and economic parameters," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 7047-7074, July.
    2. Jing Li & Ruiyin He, 2021. "Relationships among socioeconomic factors, rice planting method and pesticide use," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7358-7372, May.
    3. Cai, Jinyang & Chen, Yiming & Hu, Ruifa & Wu, Mingyin & Shen, Zhiyang, 2022. "Discovering the impact of farmer field schools on the adoption of environmental-friendly technology," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    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. Sanjeet Kumar & Ashok Mishra, 2015. "Critical Erosion Area Identification Based on Hydrological Response Unit Level for Effective Sedimentation Control in a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1749-1765, April.
    2. Raes, Dirk & Geerts, Sam & Kipkorir, Emmanuel & Wellens, Joost & Sahli, Ali, 2006. "Simulation of yield decline as a result of water stress with a robust soil water balance model," Agricultural Water Management, Elsevier, vol. 81(3), pages 335-357, March.
    3. Panagopoulos, Y. & Makropoulos, C. & Baltas, E. & Mimikou, M., 2011. "SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations," Ecological Modelling, Elsevier, vol. 222(19), pages 3500-3512.
    4. Ferrant, Sylvain & Durand, Patrick & Justes, Eric & Probst, Jean-Luc & Sanchez-Perez, José-Miguel, 2013. "Simulating the long term impact of nitrate mitigation scenarios in a pilot study basin," Agricultural Water Management, Elsevier, vol. 124(C), pages 85-96.
    5. Sepaskhah, Ali Reza & Fahandezh-Saadi, Saghar & Zand-Parsa, Shahrokh, 2011. "Logistic model application for prediction of maize yield under water and nitrogen management," Agricultural Water Management, Elsevier, vol. 99(1), pages 51-57.
    6. Ahmadzadeh, Hojat & Morid, Saeed & Delavar, Majid & Srinivasan, Raghavan, 2016. "Using the SWAT model to assess the impacts of changing irrigation from surface to pressurized systems on water productivity and water saving in the Zarrineh Rud catchment," Agricultural Water Management, Elsevier, vol. 175(C), pages 15-28.
    7. Amit Kumar Basukala & Livia Rasche, 2022. "Model-Based Yield Gap Assessment in Nepal’s Diverse Agricultural Landscape," Land, MDPI, vol. 11(8), pages 1-25, August.
    8. Ricci, Giovanni Francesco & D’Ambrosio, Ersilia & De Girolamo, Anna Maria & Gentile, Francesco, 2022. "Efficiency and feasibility of Best Management Practices to reduce nutrient loads in an agricultural river basin," Agricultural Water Management, Elsevier, vol. 259(C).
    9. Jeong, Hanseok & Adamowski, Jan, 2016. "A system dynamics based socio-hydrological model for agricultural wastewater reuse at the watershed scale," Agricultural Water Management, Elsevier, vol. 171(C), pages 89-107.
    10. Pignalosa, Antonio & Silvestri, Nicola & Pugliese, Francesco & Corniello, Alfonso & Gerundo, Carlo & Del Seppia, Nicola & Lucchesi, Massimo & Coscini, Nicola & De Paola, Francesco & Giugni, Maurizio, 2022. "Long-term simulations of Nature-Based Solutions effects on runoff and soil losses in a flat agricultural area within the catchment of Lake Massaciuccoli (Central Italy)," Agricultural Water Management, Elsevier, vol. 273(C).
    11. Faramarzi, Monireh & Yang, Hong & Schulin, Rainer & Abbaspour, Karim C., 2010. "Modeling wheat yield and crop water productivity in Iran: Implications of agricultural water management for wheat production," Agricultural Water Management, Elsevier, vol. 97(11), pages 1861-1875, November.
    12. Ricci, G.F. & Jeong, J. & De Girolamo, A.M. & Gentile, F., 2020. "Effectiveness and feasibility of different management practices to reduce soil erosion in an agricultural watershed," Land Use Policy, Elsevier, vol. 90(C).
    13. Zand-Parsa, Sh. & Sepaskhah, A.R. & Ronaghi, A., 2006. "Development and evaluation of integrated water and nitrogen model for maize," Agricultural Water Management, Elsevier, vol. 81(3), pages 227-256, March.
    14. Zeng, Ruiyun & Lin, Xiaomao & Welch, Stephen M. & Yang, Shanshan & Huang, Na & Sassenrath, Gretchen F. & Yao, Fengmei, 2023. "Impact of water deficit and irrigation management on winter wheat yield in China," Agricultural Water Management, Elsevier, vol. 287(C).
    15. Hans Thodsen & Csilla Farkas & Jaroslaw Chormanski & Dennis Trolle & Gitte Blicher-Mathiesen & Ruth Grant & Alexander Engebretsen & Ignacy Kardel & Hans Estrup Andersen, 2017. "Modelling Nutrient Load Changes from Fertilizer Application Scenarios in Six Catchments around the Baltic Sea," Agriculture, MDPI, vol. 7(5), pages 1-17, May.
    16. Özcan, Zeynep & Kentel, Elçin & Alp, Emre, 2017. "Evaluation of the best management practices in a semi-arid region with high agricultural activity," Agricultural Water Management, Elsevier, vol. 194(C), pages 160-171.
    17. Olufemi Abimbola & Aaron Mittelstet & Tiffany Messer & Elaine Berry & Ann van Griensven, 2020. "Modeling and Prioritizing Interventions Using Pollution Hotspots for Reducing Nutrients, Atrazine and E. coli Concentrations in a Watershed," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    18. Wallace, Carlington W. & Flanagan, Dennis C. & Engel, Bernard A., 2017. "Quantifying the effects of conservation practice implementation on predicted runoff and chemical losses under climate change," Agricultural Water Management, Elsevier, vol. 186(C), pages 51-65.
    19. Prakash Kaini & Kim Artita & John Nicklow, 2012. "Optimizing Structural Best Management Practices Using SWAT and Genetic Algorithm to Improve Water Quality Goals," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1827-1845, May.
    20. Jinkang Du & Hanyi Rui & Tianhui Zuo & Qian Li & Dapeng Zheng & Ailing Chen & Youpeng Xu & C.-Y. Xu, 2013. "Hydrological Simulation by SWAT Model with Fixed and Varied Parameterization Approaches Under Land Use Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2823-2838, June.

    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:spr:endesu:v:19:y:2017:i:6:d:10.1007_s10668-016-9868-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.