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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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Study of the nutrient and plankton dynamics in Lake Tanganyika using a reduced-gravity model Naithani, J.; Darchambeau, F.; Deleersnijder, E.; Descy, J.-P.; Wolanski, E. (2007). Study of the nutrient and plankton dynamics in Lake Tanganyika using a reduced-gravity model. Ecol. Model. 200(1-2): 225-233 In: Ecological Modelling. Elsevier: Amsterdam; Lausanne; New York; Oxford; Shannon; Tokyo. ISSN 0304-3800; e-ISSN 1872-7026, meer

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Beschikbaar in	Auteurs
VLIZ: Open Marine Archive 114237 [ download pdf ]

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Trefwoorden

Aquatic communities > Plankton Aquatic sciences > Freshwater sciences > Ecology > Freshwater ecology Biological production > Primary production Modelling Africa, Tanganyika L. [Marine Regions] Zoet water

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Auteurs		Top
Naithani, J. Darchambeau, F., meer Deleersnijder, E., meer	Descy, J.-P. Wolanski, E., meer

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Abstract

An eco-hydrodynamic (ECOH) model is proposed for Lake Tanganyika to study the plankton productivity. The hydrodynamic sub-model solves the non-linear, reduced-gravity equations in which wind is the dominant forcing. The ecological sub-model for the epilimnion comprises nutrients, primary production, phytoplankton biomass and zooplankton biomass. In the absence of significant terrestrial input of nutrients, the nutrient loss is compensated for by seasonal, wind-driven, turbulent entrainment of nutrient-rich hypolimnion water into the epilimnion, which gives rise to high plankton productivity twice in the year, during the transition between two seasons. Model simulations predict well the seasonal contrasts of the measured physical and ecological parameters. Numerical tests indicate that the half saturation constant for grazing by zooplankton and the fish predation rate on zooplankton affect the zooplankton biomass measurably more than that of phytoplankton biomass. This work has implications for the application of this model to predict the climatological biological productivity of Lake Tanganyika.

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