Main medium: aquatic Main subject: Lake Ecosystem, biogeochemistry, biogeochemistry, population dynamics Organization level: Ecosystem, Population Type of model: compartment model, ordinary differential equations Main application: Keywords: Rostherne mere, lake ecosystem, SEM XRMA, nutrient limitation, cell uptake
Vladimir Kryosha Krivtsov
The University of Manchester,
School of Biological Sciences,
1.800 Stopford building, Oxford road,
Manchester M13 9PT, UK. phone: fax: email: firstname.lastname@example.org
Operating System(s): Windows Available only for scientific co-operation
Programming Language(s): Model Maker, Stella, Visual Basic Available only for scientific co-operation
User Instructions available only for scientific co-operation
Available only for scientific co-operation
III. Mathematical Information
P, Si, Chlorophyll a and algalconcentrations in the lake water, nutrient mass fractions of algal cells, etc.
Initial ambient concentrations of the considered chemicals, algal cells, detritus and zooplankton, morphological & hydrological parameters of the lake & inflow, geographical co-ordinates and meteorological data series (optional).
Time series of ambient concentrations of the considered chemicals, algal cells, detritus and zooplankton, as well as sedimentation rates, mortality & nutrient intracellular concentrations of phytoplankton
Krivtsov,V., Bellinger,E.G., Sigee,D.C., Corliss,J., 1998. Application of SEM XRMA data to lake ecosystem modelling. Ecological Modelling, 113/1-3, 95-123.