Modeling of copepods with links to circulation models

An important step towards realistic models of the marine ecosystem is the coupling of biological and circulation models. While the modelling of the lower trophic levels has made progress in the last years the description of stage-resolving zooplankton is still in a preliminary state. The paper presents a zooplankton model which includes the lower trophic levels of the food web and which can be embedded in a circulation model in a consistent manner. The model has two sets of zooplankton state variables, the biomass and number of individuals of the stages. The model is used to simulate rearing tank experiments under constant environmental conditions. A link to oceanic conditions, with coupling to the lower levels of the food web and annual variations of temperature, is studied by a simple box model version. As the ‘modelcopepod’ we choose Pseudocalanus, but the model can be applied to other species in a straightforward way.

[1]  Thomas Neumann,et al.  Towards a 3D-ecosystem model of the Baltic Sea , 2000 .

[2]  K. Fennel,et al.  A box model approach for a long-term assessment of estuarine eutrophication, Szczecin Lagoon, southern Baltic , 2000 .

[3]  F. Carlotti,et al.  A Lagrangian ensemble model of Calanus finmarchicus coupled with a 1D ecosystem model , 1998 .

[4]  Lynch,et al.  Biological/physical simulations of Calanus finmarchicus population dynamics in the Gulf of Maine , 1998 .

[5]  H. Hirche,et al.  Egg production of Calanus finmarchicus : effect of temperature, food and season , 1997 .

[6]  Franqois Carlotti,et al.  Seasonal dynamics of phytoplankton and Calanus finmarchicus in the North Sea as revealed by a coupled one-dimensional model , 1996 .

[7]  T. Neumann,et al.  The mesoscale variability of nutrients and plankton as seen in a coupled model , 1996 .

[8]  C. Estournel,et al.  Spatial and temporal variability of phytoplankton biomass in upwelling areas of the northwestern mediterranean: a coupled physical and biogeochemical modelling approach , 1996 .

[9]  Michael R. Heath,et al.  Modelling the dynamics of the North Sea's Mesozooplankton , 1995 .

[10]  Dong-Ping Wang,et al.  The recruitment patterns of an estuarine copepod: A biological-physical model , 1994 .

[11]  Charles B. Miller,et al.  Stage duration estimation for Calanus populations, a modelling study , 1993 .

[12]  Michael Elliott,et al.  Baltic Sea environment proceedings , 1991 .

[13]  D. L. Aksnes,et al.  A coupled physical-biological pelagic model of a shallow sill fjord , 1990 .

[14]  H. Ducklow,et al.  A nitrogen-based model of plankton dynamics in the oceanic mixed layer , 1990 .

[15]  A. Stigebrandt,et al.  A model for the dynamics of nutrients and oxygen in the Baltic proper , 1987 .

[16]  Harold P. Batchelder,et al.  Phytoplankton balance in the oceanic subarctic Pacific: grazing impact of Metridia pacifica , 1986 .

[17]  J. Verhagen,et al.  Modelling research on the production cycle of phytoplankton in the Southern Bight of the North Sea in relation to riverborne nutrient loads , 1985 .

[18]  J. Wroblewski Interaction of currents and vertical migration in maintaining Calanus marshallae in the Oregon upwelling zone—a simulation , 1982 .

[19]  V. V. Menshutkin,et al.  On mathematical simulation of a pelagic ecosystem in tropical waters of the ocean , 1972 .

[20]  J. Giske,et al.  Modeling zooplankton dynamics , 2000 .

[21]  F. Carlotti,et al.  Model of copepod growth and development: moulting and mortality in relation to physiological processes during an individual moult cycle , 1992 .

[22]  A. Sciandra,et al.  Population dynamics model of Euterpina acutifrons (Copepoda. Harpacticoida) coupling individual growth and larval development , 1989 .

[23]  I. McLAREN,et al.  The biology of Pseudocalanus. , 1979 .

[24]  J. Wroblewski,et al.  A model of phytoplankton plume formation during variable Oregon upwelling , 1977 .