BG Biogeosciences BG Biogeosciences 1726-4189 Copernicus Publications Göttingen, Germany 10.5194/bg-7-2247-2010 Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the South-Eastern Baltic Sea Dzierzbicka-Glowacka L. 1 Żmijewska I. M. 2 Mudrak S. 2 Jakacki J. 1 Lemieszek A. 2 Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland Institute of Oceanography, University of Gdansk, Gdynia, Poland 21 07 2010 7 7 2247 2259 Copyright: © 2010 L. Dzierzbicka-Glowacka et al. 2010 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://bg.copernicus.org/articles/7/2247/2010/bg-7-2247-2010.html The full text article is available as a PDF file from https://bg.copernicus.org/articles/7/2247/2010/bg-7-2247-2010.pdf

This paper describes numerical simulations of the seasonal dynamics of <i>Acartia</i> spp. in the South-Eastern Baltic Sea. The studies were carried out using a structured zooplankton population model adapted to <i>Acartia</i> spp. The population model with state variables for eggs, nauplii, five copepodites stages and adults was coupled with a marine ecosystem model. Four state variables for the carbon cycle represent the functional units of phytoplankton, pelagic detritus, benthic detritus, and bulk zooplankton, which represent all zooplankton other than the structured population. The annual cycle simulated for 2000 under realistic weather and hydrographic conditions was studied with the coupled ecosystem-zooplankton model applied to a water column in the Gdansk Gulf (South-Eastern Baltic Sea). The vertical profiles of selected state variables were compared to the physical forcing to study differences between bulk and structured zooplankton biomass. The simulated population dynamics of <i>Acartia</i> spp. and zooplankton as one biomass state variable were compared with observations in the Gdansk Gulf. Simulated generation times are more affected by temperature than food conditions except during the spring phytoplankton bloom. The numerical studies are a following step in understanding how the population dynamics of a dominant species in the South-Eastern Baltic Sea interact with the environment.

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