|Modelling secondary production in the Norwegian Sea with a fully coupled physical/primary production/individual-based Calanus finmarchicus model system|Hjøllo, S.S.; Huse, G.; Skogen, M.D.; Melle, W. (2012). Modelling secondary production in the Norwegian Sea with a fully coupled physical/primary production/individual-based Calanus finmarchicus model system. Mar. Biol. Res. Spec. Issue 8(5-6): 508-526. dx.doi.org/10.1080/17451000.2011.642805
In: Marine Biology Research. Taylor & Francis: Oslo; Basingstoke. ISSN 1745-1000; e-ISSN 1745-1019, meer
Zooplankton; Calanus finmarchicus (Gunnerus, 1770) [WoRMS]; ANE, North East Atlantic [Marine Regions]; Marien
End-to-end modelling; IBM; NORWECOM
|Auteurs|| || Top |
- Hjøllo, S.S.
- Huse, G.
- Skogen, M.D.
- Melle, W.
The copepod Calanus finmarchicus is the dominant species of the meso-zooplankton in the Norwegian Sea, and constitutes an important link between the phytoplankton and the higher trophic levels in the Norwegian Sea food chain. An individual-based model for C. finmarchicus, based on super-individuals and evolving traits for behaviour, stages, etc., is two-way coupled to the NORWegian ECOlogical Model system (NORWECOM). One year of modelled C. finmarchicus spatial distribution, production and biomass are found to represent observations reasonably well. High C. finmarchicus abundance is found along the Norwegian shelf-break in the early summer, while the overwintering population is found along the slope and in the deeper Norwegian Sea basins. The timing of the spring bloom is generally later than in the observations. Annual Norwegian Sea production is found to be 29 million tonnes of carbon and a production to biomass (P/B) ratio of 4.3 emerges. Sensitivity tests show that the modelling system is robust to initial values of behavioural traits and with regards to the number of super-individuals simulated given that this is above about 50,000 individuals. Experiments with the model system indicate that it provides a valuable tool for studies of ecosystem responses to causative forces such as prey density or overwintering population size. For example, introducing C. finmarchicus food limitations reduces the stock dramatically, but on the other hand, a reduced stock may rebuild in one year under normal conditions.