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Sessile biota fouling farmed mussels: diversity, spatio-temporal patterns, and implications for the basibiont

Published online by Cambridge University Press:  05 March 2013

Chryssanthi Antoniadou*
Affiliation:
Department of Zoology, School of Biology, Aristotle University, Thessaloniki, Greece
Eleni Voultsiadou
Affiliation:
Department of Zoology, School of Biology, Aristotle University, Thessaloniki, Greece
Abdalnasser Rayann
Affiliation:
Department of Zoology, School of Biology, Aristotle University, Thessaloniki, Greece
Chariton Chintiroglou
Affiliation:
Department of Zoology, School of Biology, Aristotle University, Thessaloniki, Greece
*
Correspondence should be addressed to: C. Antoniadou, Aristotle University, School of Biology, Department of Zoology, Thessaloniki, Greece email: antonch@bio.auth.gr
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Abstract

The structure of sessile epibiotic assemblages fouling the shells of farmed populations of the common Mediterranean mussel Mytilus galloprovincialis, a species known to be involved in ecosystem engineering processes, was investigated in the north Aegean Sea. Mussel samples were collected from three aquaculture installations and all sessile organisms were examined. Fifteen species were recorded, one macroalga and 14 macro-invertebrates. Four colonial species covered up to 20% of the mussel shell. Among solitary organisms, polychaetes dominated followed by barnacles. The diversity of sessile epibionts associated with farmed mussel populations was comparable to that observed on natural mussel beds in contrast to their abundance/cover, which was higher in the former, possibly due to the higher trophic status in the farming areas. The structure of epibiotic assemblages exhibited limited variability at the spatial scale, in general. On the contrary, strong temporal variability with decreased diversity and abundance/cover values during the cold period of the year was assessed, in accordance with the life cycles of species involved and prevailing environmental conditions. Mussel epibionts appeared to have a negative impact on their basibiont since a reduced condition index was detected; however this impact was rather weak and further data are required to generalize the consequences of epibiosis on farmed mussels.

Information

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2013 
Figure 0

Fig. 1. Map of Thermaikos Gulf, showing the location of sampling stations.

Figure 1

Table 1. Field sampling protocol: deployment of socks and collection dates of mussel samples for each socking period at the three sampling stations.

Figure 2

Table 2. Mean value of the measured physical and chemical parameters of the water column at the three mussel farms (S1 to S3) at each sampling period (S00 to N01; for abbreviations see Table 1).

Figure 3

Table 3. Community parameters of epibionts fouling farmed Mytilus galloprovincialis populations. P, presence on samples (out of 42 for each station and out of 126 in total); Pb, sock presence (out of 2); Pt, temporal presence (out of 7); Ps, spatial presence (out of 3); C, relative cover; N, mean population density (number of individuals/m2); D, mean dominance.

Figure 4

Fig. 2. Temporal trends in relative cover of the most dominant colonial epibionts across sampling stations. For abbreviations see Table 1.

Figure 5

Fig. 3. Temporal trends in mean density of the most dominant solitary epibionts across sampling stations. For abbreviations see Table 1.

Figure 6

Fig. 4. Diversity and abundance of solitary epibionts and abundance of each dominant taxon over sampling periods. Bars represent standard error (S00 to N01, for abbreviations see Table 1)

Figure 7

Table 4. Analysis of variance results for spatial (i.e. mussel farm and location on socks) and temporal (period of sampling) effects on the abundance and diversity of solitary epibionts (colonial species were included only in the case of species richness). Significant differences in bold.

Figure 8

Fig. 5. Non-metric multidimensional scaling ordination of the epibiotic community structure across sampling stations (1 to 3) and periods (S00 to N01, for abbreviations see Table 1) for colonial biota (A), solitary biota (B), and total sessile biota (C), based on Bray–Curtis similarity index.

Figure 9

Table 5. SIMPER results. Species contribution to at least 50% among-groups dissimilarity (S1–S3 = sampling stations, G1 = S00, N00, S01, N01) analysing colonial and solitary biota, separately (for abbreviations see Table 1).

Figure 10

Table 6. SIMPER results. Species contribution to at least 50% among-groups dissimilarity (S1–S3 = sampling stations, G1 = S00, N00, S01, N01) analysing colonial and solitary sessile biota, in total (for abbreviations see Table 1).