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A dynamic integrated model for mercury bioaccumulation in marine organisms

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  • معلومة اضافية
    • Contributors:
      Denaro Giovanni; Curcio Luciano; Borri Alessandro; D'Orsi Laura; De Gaetano Andrea
    • بيانات النشر:
      ELSEVIER
    • الموضوع:
      2023
    • Collection:
      IRIS Università degli Studi di Palermo
    • نبذة مختصرة :
      A novel integrated dynamic model, the Integrated Fish Model (INTFISH), incorporating mercury (Hg) dynamics at non-steady state in marine organisms, is presented and is applied to the benthic food web in a polluted area. The integrated Fish model represents the dynamics of inorganic mercury (HgII) and methyl-mercury (MeHg) in a real marine ecosystem including environmental (seawater and sediments) and biota compartments. Mercury concentration in fish is estimated using the INTFISH model coupled, in real-time, with results from i) the seawater and sediments modules computed using the HR3DHG model, ii) a dedicated Phytoplankton model and iii) six modules for Hg fluxes within the invertebrate compartment, incorporating the main organisms included in fish diet preferences, whose variations during the whole life cycle are also taken into account to verify the sensitivity of the integrated model to the core set of parameters. The simulated total mercury concentrations (HgTOT) in specimens of red mullet (Mullus barbatus), selected as target species for the Fish model, are in excellent agreement with field observations reported from the investigated area. The intrinsic modularity of the model offers the opportunity to extend simulations to other fish species (which are part of the diet of human populations of interest) and predict Hg concentration in food. A natural extension of the model will allow to evaluate the health risks related to human consumption of contaminated fish.
    • Relation:
      info:eu-repo/semantics/altIdentifier/wos/WOS:000964505100001; volume:75; numberofpages:13; journal:ECOLOGICAL INFORMATICS; https://hdl.handle.net/10447/624529
    • الرقم المعرف:
      10.1016/j.ecoinf.2023.102056
    • الدخول الالكتروني :
      https://hdl.handle.net/10447/624529
      https://doi.org/10.1016/j.ecoinf.2023.102056
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.B282F52D