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A physical-biological coupled model for algal dynamics in lakes
- Source :
- Bulletin of mathematical biology. 61(2)
- Publication Year :
- 2007
-
Abstract
- A coupled model is presented for simulating physical and biological dynamics in fresh water lakes. The physical model rests upon the assumption that the turbulent kinetic energy in a water column of the lake is fully contained in a mixed layer of variable depth. Below this layer the mechanical energy content is assumed to vanish. Additionally, the horizontal currents are ignored. This one-dimensional two-layered model describes the internal conversion of the mechanical and thermal energy input from the atmosphere into an evolution of the mixed layer depth by entrainment and detrainment mechanisms. It is supposed to form the physical domain in which the simulation of the biological processes takes place. The biological model describes mathematically the typical properties of phyto- and zooplankton, their interactions and their response to the physical environment. This description then allows the study of the behaviour of Lagrangian clusters of virtual plankton that are subjected to such environments. The essence of the model is the dynamical simulation of an arbitrary number of nutrient limited phytoplankton species and one species of zooplankton. The members of the food web above and below affect the model only statically. The model is able to reproduce the typical progression of a predator-prey interaction between phyto- and zooplankton as well as the exploitative competition for nutrients between two phytoplankton species under grazing pressure of Daphnia. It suggests that the influence of the biological system on the physical system results in a weak increase of the surface temperature for coupled simulations, but a considerably higher seasonal thermocline in spring and a lower one in autumn.
- Subjects :
- Food Chain
Meteorology
Mixed layer
General Mathematics
Immunology
Physical system
Fresh Water
Atmospheric sciences
Zooplankton
Models, Biological
General Biochemistry, Genetics and Molecular Biology
Phytoplankton
Quantitative Biology::Populations and Evolution
Animals
Computer Simulation
Ecosystem
General Environmental Science
Pharmacology
General Neuroscience
Eukaryota
Plankton
Computational Theory and Mathematics
Turbulence kinetic energy
Environmental science
Seasons
General Agricultural and Biological Sciences
Entrainment (chronobiology)
Thermocline
Subjects
Details
- ISSN :
- 00928240
- Volume :
- 61
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Bulletin of mathematical biology
- Accession number :
- edsair.doi.dedup.....9bf1429b16cda24b3049b240dce30c9e