IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2672-d509079.html
   My bibliography  Save this article

Developing a GIS-Based Decision Rule for Sustainable Marine Aquaculture Site Selection: An Application of the Ordered Weighted Average Procedure

Author

Listed:
  • Elham Haghshenas

    (Department of Environment, Faculty of Natural Resources & Marine Sciences (FNRMS), Tarbiat Modares University (TMU), Noor P.O. Box 46414 356, Iran)

  • Mehdi Gholamalifard

    (Department of Environment, Faculty of Natural Resources & Marine Sciences (FNRMS), Tarbiat Modares University (TMU), Noor P.O. Box 46414 356, Iran)

  • Nemat Mahmoudi

    (Department of Fisheries, Faculty of Natural Resources & Marine Sciences (FNRMS), Tarbiat Modares University (TMU), Noor P.O. Box 46414 356, Iran)

  • Tiit Kutser

    (Estonian Marine Institute, University of Tartu, Mäealuse 14, 12618 Tallinn, Estonia)

Abstract

Fish consumption is on the increase due to the increase in growth of the global population. Therefore, taking advantage of new methods such as marine aquaculture can be a reliable source for the production of fish in the world. It is necessary to allocate suitable sites from environmental, economic, and social points of view in the decision-making process. In this study, in order to specify suitable areas for marine aquaculture by the Ordered Weighted Averaging (OWA) methodology in the Caspian Sea (Iran), efforts were made to incorporate the concept of risk into the GIS-based analysis. By using the OWA-based method, a model was provided which can generate marine aquaculture maps with various pessimistic or optimistic strategies. Eighteen modeling criteria (14 factors and 4 constraints) were considered to determine the appropriate areas for marine aquaculture. This was done in 6 scenarios using multi-criteria evaluation (MCE) and ordered weighted average (OWA) methodologies. The results of the sensitivity analysis showed that most of the parameters affecting the marine aquaculture location in the region were as follows: Social-Economic, Water Quality, and Physical–Environmental parameters. In addition, based on Cramer’s V coefficient values for each parameter, bathymetry and distance from the coastline with the most effective and maximum temperature had the least impact on site selection of marine aquaculture. Finally, the final aggregated suitability image (FASI) of weighted linear combination (WLC) scenario was compared with existing sites for cage culture on the southern part of the Caspian Sea and the ROC (Relative Operating Characteristics) value turned out to be equal to 0.69. Although the existing sites (9 farms) were almost compatible with the results of the study, their locations can be transferred to more favorable areas with less risk and the mapping risk level can be controlled and low- or high-risk sites for marine aquaculture could be determined by using the OWA method.

Suggested Citation

  • Elham Haghshenas & Mehdi Gholamalifard & Nemat Mahmoudi & Tiit Kutser, 2021. "Developing a GIS-Based Decision Rule for Sustainable Marine Aquaculture Site Selection: An Application of the Ordered Weighted Average Procedure," Sustainability, MDPI, vol. 13(5), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2672-:d:509079
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/5/2672/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/5/2672/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tammi, Ilpo & Kalliola, Risto, 2014. "Spatial MCDA in marine planning: Experiences from the Mediterranean and Baltic Seas," Marine Policy, Elsevier, vol. 48(C), pages 73-83.
    2. Butler, John & Jia, Jianmin & Dyer, James, 1997. "Simulation techniques for the sensitivity analysis of multi-criteria decision models," European Journal of Operational Research, Elsevier, vol. 103(3), pages 531-546, December.
    3. Christie, N. & Smyth, K. & Barnes, R. & Elliott, M., 2014. "Co-location of activities and designations: A means of solving or creating problems in marine spatial planning?," Marine Policy, Elsevier, vol. 43(C), pages 254-261.
    Full references (including those not matched with items on IDEAS)

    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. Qu, Yang & Hooper, Tara & Austen, Melanie C. & Papathanasopoulou, Eleni & Huang, Junling & Yan, Xiaoyu, 2023. "Development of a computable general equilibrium model based on integrated macroeconomic framework for ocean multi-use between offshore wind farms and fishing activities in Scotland," Applied Energy, Elsevier, vol. 332(C).
    2. Doumpos, M. & Marinakis, Y. & Marinaki, M. & Zopounidis, C., 2009. "An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method," European Journal of Operational Research, Elsevier, vol. 199(2), pages 496-505, December.
    3. Stephen P. Chambal & Jeffery D. Weir & Yucel R. Kahraman & Alex J. Gutman, 2011. "A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models," Decision Analysis, INFORMS, vol. 8(4), pages 303-321, December.
    4. Pegdwendé Minoungou & Vincent Mousseau & Wassila Ouerdane & Paolo Scotton, 2023. "A MIP-based approach to learn MR-Sort models with single-peaked preferences," Annals of Operations Research, Springer, vol. 325(2), pages 795-817, June.
    5. Yael Grushka-Cockayne & Bert De Reyck & Zeger Degraeve, 2008. "An Integrated Decision-Making Approach for Improving European Air Traffic Management," Management Science, INFORMS, vol. 54(8), pages 1395-1409, August.
    6. Patelli, Edoardo & Feng, Geng & Coolen, Frank P.A. & Coolen-Maturi, Tahani, 2017. "Simulation methods for system reliability using the survival signature," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 327-337.
    7. Valentin Bertsch & Wolf Fichtner, 2016. "A participatory multi-criteria approach for power generation and transmission planning," Annals of Operations Research, Springer, vol. 245(1), pages 177-207, October.
    8. Luis V. Montiel & J. Eric Bickel, 2014. "A Generalized Sampling Approach for Multilinear Utility Functions Given Partial Preference Information," Decision Analysis, INFORMS, vol. 11(3), pages 147-170, September.
    9. Luis C. Dias & Carolina Passeira & João Malça & Fausto Freire, 2022. "Integrating life-cycle assessment and multi-criteria decision analysis to compare alternative biodiesel chains," Annals of Operations Research, Springer, vol. 312(2), pages 1359-1374, May.
    10. Stella Sofia Kyvelou & Dimitrios Ierapetritis, 2019. "Discussing and Analyzing “Maritime Cohesion” in MSP, to Achieve Sustainability in the Marine Realm," Sustainability, MDPI, vol. 11(12), pages 1-29, June.
    11. Ichiro Nishizaki & Hideki Katagiri & Tomohiro Hayashida, 2010. "Sensitivity analysis incorporating fuzzy evaluation for scaling constants of multiattribute utility functions," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(3), pages 383-396, September.
    12. Virtanen, E.A. & Lappalainen, J. & Nurmi, M. & Viitasalo, M. & Tikanmäki, M. & Heinonen, J. & Atlaskin, E. & Kallasvuo, M. & Tikkanen, H. & Moilanen, A., 2022. "Balancing profitability of energy production, societal impacts and biodiversity in offshore wind farm design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    13. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    14. Durbach, Ian N. & Stewart, Theodor J., 2012. "A comparison of simplified value function approaches for treating uncertainty in multi-criteria decision analysis," Omega, Elsevier, vol. 40(4), pages 456-464.
    15. Scholz, Michael & Dorner, Verena & Schryen, Guido & Benlian, Alexander, 2017. "A configuration-based recommender system for supporting e-commerce decisions," European Journal of Operational Research, Elsevier, vol. 259(1), pages 205-215.
    16. Lahdelma, Risto & Makkonen, Simo & Salminen, Pekka, 2009. "Two ways to handle dependent uncertainties in multi-criteria decision problems," Omega, Elsevier, vol. 37(1), pages 79-92, February.
    17. Chao Fu & Weiyong Liu & Wenjun Chang, 2020. "Data-driven multiple criteria decision making for diagnosis of thyroid cancer," Annals of Operations Research, Springer, vol. 293(2), pages 833-862, October.
    18. Haag, Fridolin & Chennu, Arjun, 2023. "Assessing whether decisions are more sensitive to preference or prediction uncertainty with a value of information approach," Omega, Elsevier, vol. 121(C).
    19. Quero García, Pablo & Chica Ruiz, Juan Adolfo & García Sanabria, Javier, 2020. "Blue energy and marine spatial planning in Southern Europe," Energy Policy, Elsevier, vol. 140(C).
    20. Sander Van den Burg & Marian Stuiver & Jenny Norrman & Rita Garção & Tore Söderqvist & Christine Röckmann & Jan-Joost Schouten & Ole Petersen & Raul Guanche García & Pedro Diaz-Simal & Mark De Bel & L, 2016. "Participatory Design of Multi-Use Platforms at Sea," Sustainability, MDPI, vol. 8(2), pages 1-17, January.

    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:gam:jsusta:v:13:y:2021:i:5:p:2672-:d:509079. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.