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Real-time ichthyoplankton drift in Northeast Arctic cod and Norwegian spring-spawning herring
Frode B Vikebø1, Bjørn Ådlandsvik, Jon Albretsen
1Institute of Marine Research, Bergen, Norway. frovik@imr.no
Plos One
|November 24, 2011
Summary
An operational model predicts fish larvae (ichthyoplankton) distributions, aiding surveys and environmental risk assessments for Northeast Arctic cod and Norwegian Spring Spawning herring. This system improves understanding of early life history crucial for fish recruitment.
Area of Science:
- Marine ecology
- Fisheries science
- Oceanography
Background:
- Individual-based biophysical larval models are crucial for understanding fish survival and recruitment.
- Early life stages (ichthyoplankton) are vital, especially during pelagic free drift.
- Real-time ichthyoplankton distribution predictions are needed due to increasing human activity in marine environments.
Purpose of the Study:
- To develop and implement an operational system for simulating ichthyoplankton distributions.
- To provide daily updated maps of ichthyoplankton for key fish stocks.
- To support research surveys and environmental risk management.
Main Methods:
- Coupling a two-day ocean forecast system with an individual-based ichthyoplankton model.
- Utilizing recent spawning distribution and intensity data as model input.
- Running the model system operationally since 2008.
Main Results:
- Daily updated maps of ichthyoplankton distributions for Northeast Arctic cod and Norwegian Spring Spawning herring are generated.
- Simulated and observed juvenile fish distributions show good agreement in early fall (61-73% overlap).
- The model system provides valuable data for limited-coverage surveys.
Conclusions:
- The model system aids in evaluating survey designs and quantifying overlap with harmful substances.
- It supports management planning for at-sea operations and risk assessment.
- Modeled distributions are actively used to assess survey coverage and response to spills.
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