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Food web dynamics affect Northeast Arctic cod recruitment.
Dag Ø Hjermann1, Bjarte Bogstad, Anne Maria Eikeset
1Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biology, University of Oslo, PO Box 1050, Blindern, 0316 Oslo, Norway.
Understanding ecosystem dynamics requires analyzing species interactions and climate effects. This study models Northeast Arctic cod recruitment, revealing food-web dynamics significantly impact variation since 1950.
Area of Science:
- Ecology
- Climate Science
- Fisheries Science
Background:
- Ecosystem management necessitates understanding species interactions and climate impacts.
- Time-series data often vary in length, complicating ecological analyses.
- Previous studies on Northeast Arctic cod recruitment were limited by specific ecological and climatic conditions.
Purpose of the Study:
- To develop a general approach for analyzing dynamic structures in ecological time-series data of varying lengths.
- To model the impact of prey species (capelin and herring) on Northeast Arctic cod recruitment.
- To investigate cod recruitment variation using long-term data, extending beyond recent specific conditions.
Main Methods:
- Developed a novel modeling approach to handle differing time-series lengths.
- Constructed a model incorporating the influence of capelin and herring on cod recruitment starting in 1973.
- Analyzed historical data on cod, herring, and temperature spanning back to 1921.
Main Results:
- Identified significant food-web effects influencing cod recruitment.
- Demonstrated that these food-web effects explain a substantial portion of recruitment variation.
- Extended the explanatory power of ecological factors back to approximately 1950.
Conclusions:
- Food-web dynamics play a crucial role in the recruitment variability of the Northeast Arctic cod stock.
- The developed methodology allows for more robust analysis of ecological interactions using heterogeneous time-series data.
- Long-term ecological factors, particularly prey availability, are critical for understanding cod stock dynamics over extended periods.
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