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Summer mesozooplankton assemblages in the north-eastern Aegean Sea: the influence of Black Sea water and an associated anticyclonic eddy

Published online by Cambridge University Press:  02 June 2010

Stamatina Isari*
Affiliation:
Laboratory of Zoology, Department of Biology, University of Patras, 26500 Rio, Patras, Greece
Stylianos Somarakis
Affiliation:
Hellenic Centre for Marine Research, PO Box 2214, 71003 Heraklion, Crete, Greece
Epaminondas D. Christou
Affiliation:
Hellenic Centre for Marine Research, PO Box 712, 19013 Anavissos, Athens, Greece
Nina Fragopoulu
Affiliation:
Laboratory of Zoology, Department of Biology, University of Patras, 26500 Rio, Patras, Greece
*
Correspondence should be addressed to: S. Isari, Hellenic Centre for Marine Research, PO Box 2214, 71003 Heraklion, Crete, Greece email: misari@her.hcmr.gr
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Abstract

The north-eastern Aegean Sea (NEA) is a marine system of high hydrological complexity, principally induced by the inflow and subsequent advection of the low salinity (<30) Black Sea water (BSW). This water mass occupies the upper layer (~0–20 m) of the NEA and plays a key role in the determination of circulation patterns and the generation of various frontal and eddy structures. Here we are concerned with the examination of mesozooplankton assemblages in the NEA during the thermal stratification period (July 2004) in two discrete sampling layers: (a) Layer 1 (from the base of halocline to the surface: ~0–20 m) which is directly influenced by BSW; and (b) the deeper ~20–50 m layer (Layer 2). Our main objective was to assess the response of mesozooplankton to the BSW and the associated hydrological structures. In July 2004, the BSW was mainly restricted in the eastern part of the NEA where it was entrapped in a ~50-km wide anticyclonic gyre (Samothraki gyre). A marked spatial differentiation in mesozooplankton assemblage structure, significantly related to this hydrodynamic partitioning, was detected in Layer 1. Sampling sites under the direct influence of low salinity–high temperature gyre waters were characterized by a considerably higher mesozooplankton stock than the remaining area, mainly due to the outstanding numerical dominance of the cladoceran species Penilia avirostris. Copepods displayed notably low densities within the gyre and low species diversity, the calanoid Temora stylifera was the only abundant species. The mesozooplankton community outside the gyre zone shifted towards lower levels of total abundance, with a lesser contribution of cladocerans and an increase in the importance of small-sized copepods (e.g. Acartia clausi, Paracalanus parvus, copepodites of Oithona spp. and Clausocalanus spp.). In the subsurface layer (Layer 2), the mesozooplankton community also exhibited spatial heterogeneity which could be hardly explained by variability in environmental parameters. The periphery of the anticyclone below the halocline was distinguished from the remaining neritic area, presenting markedly high mesozooplankton productivity and distinct group composition. An inverse pattern in the mesozooplankton stock vertical distribution was observed at the periphery of the gyre (Layer 2> Layer 1) comparative to the remaining sites (Layer 1 > Layer 2), which was mainly due to unusually high concentrations of surface-living zooplankters below the halocline. The latter could be explained in terms of expected water flow patterns in an anticyclonic eddy.

Information

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2010
Figure 0

Fig. 1. Geographical location of the study area and distribution of sampling sites. □, Hydrographic and mesozooplankton stations; •, hydrographic stations.

Figure 1

Fig. 2. Contour maps of salinity (A), temperature (°C) (B) and fluorescence (arbitrary units) (C) at 10 m depth. Sections of salinity (D), temperature (E) and fluorescence (F) over a longitudinal transect (Station 12 to Station 39) across the Thracian Sea continental shelf (redrawn from Isari et al. (2007) with kind permission of Springer Science and Business Media).

Figure 2

Fig. 3. (A) Maps showing group of stations (corresponding to group of samples) defined by the cluster analysis in each sampling layer (Layer 1, 0-base of halocline; Layer 2, base of halocline-50 m); (B) ordination plots of the comparison between samples of each layer using non-metric multidimensional scaling and Bray–Curtis similarity index. Respective cluster groups are indicated. Significant multiple regressions between ordination scores and environmental parameters (S, salinity; T, temperature; F, integrated fluorescence) are shown, as well as the fraction (%) of variance in the mesozooplankton data explained by the parameters (▴, Groups I1 and I2; □, Groups II1 and II2; •, Groups III1 and III2; , outlier station); (C) mean relative density (%) of the major mesozooplankton groups for each group of samples in the two discrete layers.

Figure 3

Table 1. List of major mesozooplankton groups identified in the samples of the two sampling layers (Layer 1, 0-base of halocline; Layer 2, base of halocline-50 m). Mean abundance values (ind. m−3) per group of samples defined by the cluster analysis (Layer 1, Groups I1, II1 and III1; Layer 2, Groups I2, II2 and III2) are given.

Figure 4

Table 2. List of copepod and cladoceran taxa identified in the samples of the two sampling layers (Layer 1, 0-base of halocline; Layer 2: base of halocline-50 m). Mean abundance values (ind. m−3) per group of samples defined by the cluster analysis (Layer 1, Groups I1, II1 and III1; Layer 2, Groups I2, II2 and III2) are given.

Figure 5

Table 3. Multiple regression analysis between various parameters (temperature, salinity and fluorescence) and the non-metric multidimensional scaling scores for two-axis ordination of samples (*, P<0.05; **, P < 0.01; n.s., not significant).

Figure 6

Table 4. Mean values for temperature (T, °C), salinity (S, psu) and integrated fluorescence (F, arbitrary units) for the sample groups defined by the cluster analysis in the two distinct sampling layers (Layer 1, 0-base of halocline, Layer 2, base of halocline-50 m). N, number of samples.

Figure 7

Fig. 4. Vertical distribution patterns (Layer 1, 0-base of halocline; Layer 2, base of halocline-50 m) of total mesozooplankton abundance (ind. m−3) and biomass (mg m−3) throughout the study area (Pattern I, Layer 1> Layer 2; Pattern II, Layer 2> Layer 1). Groups of stations identified by cluster analysis in Layer 2 (Groups I2, II2 and III2) are indicated.

Figure 8

Table 5. Mean values of total mesozooplankton stock and abundance of the major taxa (ind. m−3) for the two sampling layers (Layer 1, 0-base of halocline; Layer 2, base of halocline-50 m) according to the vertical distribution pattern of total mesozooplankton stock of the stations (Patterns I and II). Results of t-tests are given for each pattern (n.s., not significant; *, <0.05; **, <0.01; ***, <0.001).

Figure 9

Fig. 5. Abundance (ind. m−3) of major mesozooplankton groups and dominant copepod species per sampling layer (Layer 1, 0-base of halocline; Layer 2, base of halocline-50 m) throughout the study area. Distinct patterns in total mesozooplankton vertical distribution (Patterns I and II, see Figure 4) as well as groups of stations identified by cluster analysis in Layer 2 (Groups I2, II2 and III2) are indicated.