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Cyanobacterial blooms management: A modified optimization model for interdisciplinary research

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  • Liu, Ming
  • Wu, Jiani
  • Zhang, Shuhua
  • Liang, Jing

Abstract

Controlling cyanobacterial blooms is a complex problem due to the biological features of cyanobacteria and the management objective of minimizing economic damages under a limited budget. Although bio-economic models provide hopeful methods for cyanobacteria control, the existing spatial-temporal optimization models do not consider both the heterogeneity of the natural loss rate of cyanobacteria in various growth stages as well as the heterogeneity of cyanobacteria spore migration between different regions. In this paper, we develop a new spatial-dynamic model to describe the reproduction and dispersal behavior of cyanobacteria. We consider the above heterogeneities and propose an integrated bio-economic optimization model as a valuable decision framework for water managers to allocate limited resources for cyanobacteria control. Specifically, our model incorporates maximum capacity constraints in terms of resource constraints, ensuring that cyanobacterial growth follows the fundamental biological principle of survival of the fittest. The potential applicability of our model is illustrated by a computational experiment. The results demonstrate that the investment exhibits diminishing marginal returns while allocating resources to the initially infected area can obtain the best bang for the buck under most test scenarios. This study is an interdisciplinary research that can assist managers in making more accurate decisions regarding budget allocation, the timing, and the location of cyanobacteria removal operations.

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  • Liu, Ming & Wu, Jiani & Zhang, Shuhua & Liang, Jing, 2023. "Cyanobacterial blooms management: A modified optimization model for interdisciplinary research," Ecological Modelling, Elsevier, vol. 484(C).
    • Handle: RePEc:eee:ecomod:v:484:y:2023:i:c:s0304380023002107
    DOI: 10.1016/j.ecolmodel.2023.110480
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    1. Edholm, Christina J. & Tenhumberg, Brigitte & Guiver, Chris & Jin, Yu & Townley, Stuart & Rebarber, Richard, 2018. "Management of invasive insect species using optimal control theory," Ecological Modelling, Elsevier, vol. 381(C), pages 36-45.
    2. Jones, Hannah & White, Andrew & Lurz, Peter & Shuttleworth, Craig, 2017. "Mathematical models for invasive species management: Grey squirrel control on Anglesey," Ecological Modelling, Elsevier, vol. 359(C), pages 276-284.
    3. Hyytiäinen, Kari & Lehtiniemi, Maiju & Niemi, Jarkko K. & Tikka, Kimmo, 2013. "An optimization framework for addressing aquatic invasive species," Ecological Economics, Elsevier, vol. 91(C), pages 69-79.
    4. Bushaj, Sabah & Büyüktahtakın, İ. Esra & Haight, Robert G., 2022. "Risk-averse multi-stage stochastic optimization for surveillance and operations planning of a forest insect infestation," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1094-1110.
    5. Epanchin-Niell, Rebecca S. & Wilen, James E., 2012. "Optimal spatial control of biological invasions," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 260-270.
    6. Onal, Sevilay & Akhundov, Najmaddin & Büyüktahtakın, İ. Esra & Smith, Jennifer & Houseman, Gregory R., 2020. "An integrated simulation-optimization framework to optimize search and treatment path for controlling a biological invader," International Journal of Production Economics, Elsevier, vol. 222(C).
    7. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    8. Eyyüb Y. Kıbış & İ. Esra Büyüktahtakın & Robert G. Haight & Najmaddin Akhundov & Kathleen Knight & Charles E. Flower, 2021. "A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in Cities," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 808-834, May.
    9. Horie, Tetsuya & Haight, Robert G. & Homans, Frances R. & Venette, Robert C., 2013. "Optimal strategies for the surveillance and control of forest pathogens: A case study with oak wilt," Ecological Economics, Elsevier, vol. 86(C), pages 78-85.
    10. David Aadland & Charles Sims & David Finnoff, 2015. "Spatial Dynamics of Optimal Management in Bioeconomic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 545-577, April.
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    1. Jacobs, Bas & van Voorn, George & van Heijster, Peter & Hengeveld, Geerten M., 2024. "Consequences of alternative stable states for short-term model-based control of cyanobacterial blooms," Ecological Modelling, Elsevier, vol. 491(C).

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