Parameterisation of a population model for Acartia spp. in the southern Baltic Sea. Part 1. Development time

Dzierzbicka-Głowacka, Lidia; Lemieszek, Anna; Żmijewska, Maria Iwona

doi:10.5697/oc.51-2.165

Cited by 12 publications

(3 citation statements)

References 20 publications

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“…3b). This was not included in previous versions of the model (Dzierzbicka-Glowacka, 2005;Dzierzbicka-Glowacka et al, 2009a). The reference C r and critical C k masses are defined for each stage.…”

Section: Copepod Model For Acartia Sppmentioning

confidence: 99%

“…Nauplii N1 and N2, which do not feed, are assumed to consume 20% of their weight per day for basic metabolism. For nauplii from N3 to N6, copepodites and adults, were assigned a minimum respiration rate of 4% of their weight per day, to which was added a respiration rate equal to 30% of the ingestion rate for active metabolism (see Dzierzbicka-Glowacka et al, 2009a). The ingestion rate decreases as weight reaches the critical weight of molt, because growth is limited by the exoskeleton.…”

Section: Copepod Model For Acartia Sppmentioning

confidence: 99%

“…The copepod model (Dzierzbicka-Glowacka, 2009a) W i and number Z i were calculated. The parameter values for Acartia spp.…”

Section: Copepod Model For Acartia Sppmentioning

confidence: 99%

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Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the South-Eastern Baltic Sea

et al. 2010

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Abstract. This paper describes numerical simulations of the seasonal dynamics of Acartia spp. in the South-Eastern Baltic Sea. The studies were carried out using a structured zooplankton population model adapted to Acartia 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 Acartia 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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Section: Copepod Model For Acartia Sppmentioning

confidence: 99%

Section: Copepod Model For Acartia Sppmentioning

confidence: 99%

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Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the South-Eastern Baltic Sea

et al. 2010

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Spatial distribution projections of suitable environmental conditions for key Baltic Sea zooplankton species

Serandour,

Blenckner,

Jan

et al. 2024

Limnology & Oceanography

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Environmental changes reshape biological communities, inducing cascading effects throughout the food webs. These changes pressure species either to adapt or to track favorable habitats. Estuaries represent an interesting case study to investigate such responses as species will rapidly reach physical boundaries if they cannot adapt fast enough and need to track suitable conditions. One such estuary is the Baltic Sea, characterized by a salinity and temperature gradient that shapes species distribution and imposes physiological stress on organisms. The Baltic Sea is projected to be affected by substantial modifications in environmental conditions by the end of the 21st century, which could have major consequences for species distribution and community composition. However, despite the impending changes and their potential impact, there is a gap in understanding the potential consequences on pelagic species of the Baltic Sea. This study employs long‐term observations of primary zooplankton species in the pelagic food web to model changes in their distribution under future climate projections. We found that the parameters having the largest influence on habitat suitability varied across species, although maximal temperature was the most important for six out of seven species. In addition, there was a shrinkage of suitable area for several key species driven by a decrease in salinity and a rise in water temperature. We discuss the complex interplay between environmental changes and the spatial distribution of pelagic species in the Baltic Sea, highlighting the need for proactive management strategies to mitigate potential ecological impacts in the face of future climate scenarios.

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Seasonal abundance and feeding patterns of copepods Temora longicornis, Centropages hamatus and Acartia spp. in the White Sea (66°N)

et al. 2011

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We have studied the seasonal dynamics of abundance and feeding characteristics of three species of calanoid copepods (Acartia spp., Centropages hamatus and Temora longicornis) in the White Sea from the surface water layer (0-10 m), in order to assess their role in the pelagic food web and to determine the major factors governing their population dynamics during the productive season. These species dominated in the upper water layer (0-10 m) from June through September, producing up to 3 generations per year. Data on the food spectra revealed all species to be omnivorous; but some inter-and intraspecific differences were observed. Generally, copepods consumed diatoms, dinoflagellates and microzooplankton. The omnivory index 'UC' (i.e., fatty acid unsaturation coefficient) varied from 0.2 to 0.6, which implied ingestion of phytoplankton. The different degree of selectivity on the same food items by the studied species was observed, and therefore, successful surviving strategy with minimal overlapping could be assumed. In total, the populations of the three studied copepod species grazed up to 2.15 g C m -2 day -1 and released up to 0.68 g C m -2 day -1 in faecal pellets. They consumed up to 50% of particulate organic carbon, or up to 85% of phytoplankton standing stock (in terms of Chl. a), and thus played a significant role in the transformation of particulate organic matter. Seasonal changes in abundance of the studied species depended mostly on water temperature in the early summer, but were also affected by food availability (Chl. a concentration) during the productive season.

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Parameterisation of a population model for Acartia spp. in the southern Baltic Sea. Part 1. Development time

Cited by 12 publications

References 20 publications

Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the South-Eastern Baltic Sea

Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the South-Eastern Baltic Sea

Spatial distribution projections of suitable environmental conditions for key Baltic Sea zooplankton species

Seasonal abundance and feeding patterns of copepods Temora longicornis, Centropages hamatus and Acartia spp. in the White Sea (66°N)

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Parameterisation of a population model for Acartia spp. in the southern Baltic Sea. Part 1. Development time

Cited by 12 publications

References 20 publications

Population modelling of &lt;i&gt;Acartia&lt;/i&gt; spp. in a water column ecosystem model for the South-Eastern Baltic Sea

Population modelling of &lt;i&gt;Acartia&lt;/i&gt; spp. in a water column ecosystem model for the South-Eastern Baltic Sea

Spatial distribution projections of suitable environmental conditions for key Baltic Sea zooplankton species

Seasonal abundance and feeding patterns of copepods Temora longicornis, Centropages hamatus and Acartia spp. in the White Sea (66°N)

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Product

Resources

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Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the South-Eastern Baltic Sea

Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the South-Eastern Baltic Sea