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The mussel path – Using the contaminant tracer, Ecotracer, in Ecopath to model the spread of pollutants in an Arctic marine food web

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  • Larsen, Lars-Henrik
  • Sagerup, Kjetil
  • Ramsvatn, Silje

Abstract

As the polar ice cap is receding, shipping in the Arctic seas becomes easier, and both destination and Atlantic–Pacific transit shipping is expected to increase. Thereby, the risk of accidents increase. Immediate negative impacts are expected from oil spills through the acute mortality for marine organisms, especially from heavy fuel oil (HFO). Marine Diesel oil (MDO) is therefore suggested as a preferable fuel for ships operating in Arctic waters. However, Polycyclic Aromatic Hydrocarbons (PAHs) are toxic components in both types of fuel, are highly bioavailable and can transfer up the food chain. A spill of MDO following a shipwreck could therefore have impacts beyond the spill site and long after the diesel has spread and evaporated. We model the spread of PAHs from a fictitious spill of MDO in the Pechora Sea (South Eastern Barents Sea) using the contaminant tracer module Ecotracer, in the Ecopath modelling software. We address the effects on the food-web including long term effects by combining toxicology and food-web modelling. Ecotracer assumes that pollutants follow the biomass passively through the system, and degradation of pollutants is following user specified rates. By combining in natura measurements of PAHs in seawater and in blue mussels (Mytilus edulis) recorded at an accidental MDO spill site, with experiments conducted on the red king crab (Paralithodes camtschaticus) and blue mussels, we derived values as inputs into the model. The Ecotracer predicted that the pollution in the mussels will spread throughout the food-web, especially to the top predators of mussels, king eider (Somateria spectabilis) and Atlantic walrus (Odobenus rosmarus rosmarus) and also from snow crab (Chionoecetes opilio) to seals and toothed whales.

Suggested Citation

  • Larsen, Lars-Henrik & Sagerup, Kjetil & Ramsvatn, Silje, 2016. "The mussel path – Using the contaminant tracer, Ecotracer, in Ecopath to model the spread of pollutants in an Arctic marine food web," Ecological Modelling, Elsevier, vol. 331(C), pages 77-85.
    • Handle: RePEc:eee:ecomod:v:331:y:2016:i:c:p:77-85
    DOI: 10.1016/j.ecolmodel.2015.10.011
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    References listed on IDEAS

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    1. Link, Jason S., 2010. "Adding rigor to ecological network models by evaluating a set of pre-balance diagnostics: A plea for PREBAL," Ecological Modelling, Elsevier, vol. 221(12), pages 1580-1591.
    2. Ferriss, Bridget E. & Essington, Timothy E., 2014. "Does trophic structure dictate mercury concentrations in top predators? A comparative analysis of pelagic food webs in the Pacific Ocean," Ecological Modelling, Elsevier, vol. 278(C), pages 18-28.
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    1. McGill, Lillian M. & Gerig, Brandon S. & Chaloner, Dominic T. & Lamberti, Gary A., 2017. "An ecosystem model for evaluating the effects of introduced Pacific salmon on contaminant burdens of stream-resident fish," Ecological Modelling, Elsevier, vol. 355(C), pages 39-48.
    2. Morzaria-Luna, Hem Nalini & Ainsworth, Cameron H. & Tarnecki, Joseph H. & Grüss, Arnaud, 2018. "Diet composition uncertainty determines impacts on fisheries following an oil spill," Ecosystem Services, Elsevier, vol. 33(PB), pages 187-198.

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