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Global sensitivity analysis of a trophodynamic model of the Gulf of Trieste

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  • Cossarini, Gianpiero
  • Solidoro, Cosimo

Abstract

A global sensitivity analysis is performed on a trophodynamic model of the Gulf of Trieste by using the Morris’ method. This screening method allows to highlight the most important processes in the system and to single out and rank the most relevant parameters of the model. The analysis is applied to a trophodynamic model specifically developed for the Gulf of Trieste, the northernmost part of the Adriatic Sea.

Suggested Citation

  • Cossarini, Gianpiero & Solidoro, Cosimo, 2008. "Global sensitivity analysis of a trophodynamic model of the Gulf of Trieste," Ecological Modelling, Elsevier, vol. 212(1), pages 16-27.
  • Handle: RePEc:eee:ecomod:v:212:y:2008:i:1:p:16-27
    DOI: 10.1016/j.ecolmodel.2007.10.009
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    Cited by:

    1. Zheng, Wei & Shi, Honghua & Fang, Guohong & Hu, Long & Peng, Shitao & Zhu, Mingyuan, 2012. "Global sensitivity analysis of a marine ecosystem dynamic model of the Sanggou Bay," Ecological Modelling, Elsevier, vol. 247(C), pages 83-94.
    2. Cossarini, G. & Querin, S. & Solidoro, C., 2015. "The continental shelf carbon pump in the northern Adriatic Sea (Mediterranean Sea): Influence of wintertime variability," Ecological Modelling, Elsevier, vol. 314(C), pages 118-134.
    3. Yu, Shiyang & Song, Da & Fan, Meng & Xie, Congbo, 2023. "Effects of temperature and salinity on growth of Aurelia aurita," Ecological Modelling, Elsevier, vol. 476(C).
    4. Sankar, S. & Polimene, L. & Marin, L. & Menon, N.N. & Samuelsen, A. & Pastres, R. & Ciavatta, S., 2018. "Sensitivity of the simulated Oxygen Minimum Zone to biogeochemical processes at an oligotrophic site in the Arabian Sea," Ecological Modelling, Elsevier, vol. 372(C), pages 12-23.
    5. Portilla, E. & Tett, P. & Gillibrand, P.A. & Inall, Mark, 2009. "Description and sensitivity analysis for the LESV model: Water quality variables and the balance of organisms in a fjordic region of restricted exchange," Ecological Modelling, Elsevier, vol. 220(18), pages 2187-2205.

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