Population dynamics of sinking phytoplankton in light-limited environments: simulation techniques and critical parameters
Huisman, J.; Sommeijer, B. (2002). Population dynamics of sinking phytoplankton in light-limited environments: simulation techniques and critical parameters. J. Sea Res. 48(2): 83-96. https://dx.doi.org/10.1016/S1385-1101(02)00137-5
In: Journal of Sea Research. Elsevier/Netherlands Institute for Sea Research: Amsterdam; Den Burg. ISSN 1385-1101; e-ISSN 1873-1414
Also appears in:
Philippart, C.J.M.; Van Raaphorst, W. (Ed.) (2002). Structuring Factors of Shallow Marine Coastal Communities, part I. Journal of Sea Research, 48(2). Elsevier Science: Amsterdam. 81-172 pp., more
Phytoplankton use light for photosynthesis, and the light flux decreases with depth. As a result of this simple light dependence, reaction-advection-diffusion models describing the dynamics of phytoplankton species contain an integral over depth. That is, models that simulate phytoplankton dynamics in relation to mixing processes generally have the form of an integro-partial differential equation (integro-PDE). Integro-PDEs are computationally more demanding than standard PDEs. Here, we outline a reliable and efficient technique for numerical simulation of integro-PDEs. The simulation technique is illustrated by several examples on the population dynamics of sinking phytoplankton, using both single-species models and competition models with several phytoplankton species. Our results confirm recent findings that Sverdrup's critical-depth theory breaks down if turbulent mixing is reduced below a critical turbulence. In fact, our results show that suitable conditions for bloom development of sinking phytoplankton depend on a number of critical parameters, including a minimal depth of the thermocline, a maximal depth of the thermocline, a minimal turbulence, and a maximal turbulence. We therefore conclude that models that do not carefully consider the population dynamics of phytoplankton in relation to the turbulence structure of the water column may easily lead to erroneous predictions.
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