Stock mapping, size structure and biological parameters of the clam Polititapes aureus in the shellfish production area of the southern Tunisian waters (Central Mediterranean)
Categoria dell'articolo: Original research paper
Pubblicato online: 05 giu 2021
Pagine: 128 - 136
Ricevuto: 27 ott 2020
Accettato: 17 nov 2020
DOI: https://doi.org/10.2478/oandhs-2021-0012
Parole chiave
© 2021 Abdelkarim Derbali et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Shellfish production is a major contributor to the Tunisian fishery economy. Bivalves can play an important role in addressing the scarcity and rising prices of protein sources in Tunisia. The Tunisian coast stretches over long distances, so it becomes necessary to look at the exploitation of bivalves occurring in these areas. Intertidal bivalves are conspicuous members of productive areas. Unfortunately, shellfish exploitation has so far focused only on the clam
The venerid
Despite its considerable economic importance, no studies have been carried out in Tunisia on the spread of the mollusk
The southern coast of Sfax, located in the Gulf of Gabes (south Tunisia), extends for 135 km (Fig. 1). The climate is arid and semiarid Mediterranean, largely influenced by the gentle topography and maritime exposure (Chamtouri et al. 2008). Both the wide and shallow continental shelves are topographically regular. The bottom slopes slightly toward the sea, with a depth of 60 m occurring 110 km off the coast (Ben Othman 1973). The substrate in the inshore area is mainly silty sand (Derbali et al. 2016) covered in some places with the seagrass

Map of the study area. The location of sampling transects is indicated
Sampling operations were conducted from May 2012 to August 2014 within the 135 km shellfish production area (Sfax coasts, Gulf of Gabes) in south Tunisia. The sampling area was roughly divided into ten sites based on the occurrence of clams (Fig. 1). Transects were systematically run in the sampling area during low tides. Samples were collected every 50 m along transect lines from the extreme high tide to the extreme low tide. Along transects, 4–10 sites were sampled in quadrats (0.25 m2) using a shovel. Large specimens were collected by hand and small ones using a 2 mm mesh sieve. During the sampling period, seawater temperature and were measured near the bottom immediately after sampling using a multi-parameter kit (Multi 340 i/SET). To complete the study on the clam distribution, an ecological survey was carried out at all study sites. Specific interactions between abiotic and biotic factors affecting the spatial distribution of the
Samples were placed in labelled plastic bags, and then preserved in a 7% formaldehyde solution. In the laboratory, the material was sorted and washed to remove all attached organisms and other debris. Individuals were identified, counted and shell length (SL) was measured with a digital caliper to the nearest 0.01 mm and weighed on a toploading digital balance (precision of 0.001 g) to determine total fresh weight (TW). The obtained dataset was registered and maps were drawn. After identification to the species level, data were pooled at sampling sites to obtain mean densities (ind. m−2) and mean biomass (g m−2) per site, and then pooled across the sampling sites to assess stocks based on the kriging method using ArcView v. 3.2 software, according to the following equation (Gulland 1969):
Statistical analysis was performed to investigate the effect of site on SL and abundance using one-way ANOVA. Similarities between the sites in terms of abundance and biomass were investigated using cluster analysis (group average). In addition, the harmonic Spearman correlation coefficient was also applied to identify any significant correlation between density and biomass of clams at each site. The results are presented as means ± standard error (SE) and the significance level used in the tests was
In biological studies, clam species were examined for sexuality, with all specimens subjected to (1) macroscopic examination of gonads and (2) microscopic examination of gametes. The visceral mass was then teased apart and smears of the visceral wall with attached gonads were examined at 100× magnification and the sex of individuals was determined. The sex ratio (expressed as a number of females per males; F:M) was determined. Statistically significant deviations from a balanced sex ratio of 1:1 were assessed by the χ2 test, with statistical significance considered at
Sediment type and organic matter content recorded in the shellfish production area of Sfax (south Tunisia)
Sites | % Gravel | % Coarse | % Medium sand | % Fine sand | % Silt/clay | Organic matter content (%) |
---|---|---|---|---|---|---|
Site 1 | 0 | 5.68 | 22.31 | 62.08 | 9.93 | 14.02 |
Site 2 | 0.03 | 3.62 | 25.82 | 63.12 | 7.41 | 11.03 |
Site 3 | 0.42 | 4.72 | 26.06 | 68.02 | 0.78 | 19.27 |
Site 4 | 0.11 | 7.52 | 27.63 | 61.17 | 3.57 | 18.11 |
Site 5 | 1.11 | 11.53 | 26.02 | 50.05 | 11.29 | 16.01 |
Site 6 | 4.71 | 12.97 | 24.19 | 38.72 | 19.41 | 8.54 |
Site 7 | 2.42 | 9.82 | 28.02 | 46.48 | 13.26 | 19.01 |
Site 8 | 4.82 | 10.93 | 28.30 | 41.81 | 14.14 | 6.72 |
Site 9 | 0.10 | 1.52 | 19.12 | 79.18 | 0.08 | 22.13 |
Site 10 | 0.09 | 2.54 | 38.15 | 57.19 | 2.03 | 17.14 |
A total of 966 replicates were taken during sampling. Mean stock levels for each site are presented in Table 2. In general, there were significant fluctuations in the distribution of clams across the sites, with a density ranging from 0 to 124 ind. m−2 and biomass from 0 to 300 g m−2 (Figs 2 & 3). The density of clams does not show normal distribution (Kolmorogov–Smirnov test,
Surface area, the number of transects and replicates and stock levels (means ± SE) of
Sites | Surface (ha) | % of total surface | Number of transects | Number of replicates | Mean density (ind. m−2) ± SE | Mean biomass (g m−2) ± SE |
---|---|---|---|---|---|---|
Site 1 | 505 | 12.08 | 18 | 130 | 0.92 ± 0.3 | 2.74 ± 1.0 |
Site 2 | 265 | 6.34 | 11 | 62 | 1.68 ± 0.7 | 6.12 ± 2.9 |
Site 3 | 146 | 3.49 | 12 | 50 | 0 | 0 |
Site 4 | 379 | 9.06 | 16 | 82 | 1.32 ± 0.4 | 5.38 ± 1.5 |
Site 5 | 535 | 12.79 | 24 | 168 | 0.90 ± 0.2 | 1.34 ± 0.3 |
Site 6 | 310 | 7.41 | 9 | 62 | 1.61 ± 0.4 | 3.08 ± 0.9 |
Site 7 | 960 | 22.95 | 11 | 72 | 3.83 ± 1.8 | 6.28 ± 1.9 |
Site 8 | 600 | 14.35 | 6 | 42 | 1.24 ± 0.5 | 4.07 ± 1.7 |
Site 9 | 87 | 2.08 | 8 | 72 | 1.0 ± 0.4 | 2.80 ± 1.0 |
Site 10 | 395 | 9.45 | 28 | 226 | 5.65 ± 1.3 | 11.88 ± 3.1 |
Total | 4182 | 100 | 143 | 966 | 2.34 ± 0.4 | 5.28 ± 0.8 |


The total population of the shellfish under study was estimated at 201.2 ± 64.6 t (total fresh weight), with mean biomass of about 5.3 ± 0.8 g m−2 and total abundance of over 91.3 ± 32.9 million individuals. The mean density per replicate was 2.34 ± 0.4 ind. m−2. In total, 565 specimens were harvested at the most interesting sites (sites 1, 2 and 4 to10) covering 1777 ha. No clams were found at site 3. The distribution of all mean density and biomass values are presented in Table 2.
There were clear differences in stock levels in the sampling area (Fig. 4). In terms of density, there was a significant difference between all sampling sites (


The size frequency distribution of


Sites | N | Min. SL (mm) | Max SL (mm) | Mean SL (mm) | SE | Mode |
---|---|---|---|---|---|---|
Site 1 | 30 | 8.30 | 29.15 | 23.82 | 0.86 | 27.00 |
Site 2 | 26 | 21.30 | 29.80 | 26.10 | 0.43 | 27.00 |
Site 3 | 0 | 0 | 0 | 0 | 0 | 0 |
Site 4 | 27 | 6.70 | 32.65 | 25.06 | 1.11 | 25.00 |
Site 5 | 38 | 6.70 | 27.10 | 18.41 | 1.14 | 10.00 |
Site 6 | 25 | 9.50 | 30.70 | 20.43 | 1.21 | 19.00 |
Site 7 | 69 | 8.15 | 30.25 | 19.16 | 0.79 | 24.00 |
Site 8 | 13 | 14.00 | 30.50 | 25.95 | 1.15 | 26.00 |
Site 9 | 18 | 17.50 | 29.45 | 23.85 | 0.93 | 27.00 |
Site 10 | 319 | 4.90 | 35.34 | 22.34 | 0.26 | 23.00 |
We identified 292 females (52%), 231 males (41%) and 42 individuals of indeterminate sex (7%) in the samples of clams. For both sexes, individuals presented wide range of sizes, both in terms of shell length (4.9–35.34 mm) and total weight (0.04–8.28 g). The overall sex ratio (F:M = 1.26:1) significantly deviated from parity (F:M = 1:1; χ2-test,
The current study reports for the first time the spread of the clam
Stock mapping showed a fluctuation of
The clam population appears to have been strongly affected by abiotic factors. During the present study, hydrodynamic conditions were found to be similar within the sampling area and it can be assumed that the relative population growth is affected by other environmental parameters such as sediment type, organic matter content, burrowing behavior of bivalve species and their subsequent strategies to counter dislocation and avoid predation. In fact, some interesting connections were detected between environmental conditions and bivalve behavior. Elevated water temperatures and phytoplankton levels may contribute to rapid growth rates in many local bivalve species (Dridiet al. 2007; Enríquez-Díaz et al. 2009; Sobral & Widdows 2014).
Additional mechanisms structuring clam populations include soft bottoms and organic matter content. The high diversity of shellfish species is particularly interesting when considering the relative organic matter content (11–22.13%; Table 1), depth (0–1 m) and silty-sand bottom. These factors can provide ecological conditions that are able to maintain highly diverse reef communities in the colonized area. Indeed, the absence of the clam
As regards faunal diversity and substrate types, this species was more frequent and abundant in areas sheltered by seagrass
The results on the distribution of clams may explain the dominance of this species in these particular water bodies. They also show the importance of environmental factors in controlling the density and subsequently the biomass of shellfish assemblages. This study showed that the clam population was not uniformly distributed: smaller specimens are dispersed in a relatively heterogeneous pattern throughout the study area, while larger individuals were more geographically restricted to sites 4 and 10. The mean sizes ranged from 18.41 ± 1.14 mm at site 5 to 26.10 ± 0.43 mm at site 2. The size range in populations varied between the sites. Size ranges of some bivalve species vary greatly across studies, complicating comparisons between species from different geographical areas. Size fluctuations may be related to abiotic factors that vary from one habitat to another. The growth, development and survival of bivalves are generally controlled by physical and chemical parameters, temperature in particular. This conclusion is the same as that given by Laing et al. (1987) and Jara-Jara et al. (1997) for
In this study, the clam population exhibited characteristics similar to those described for other bivalve species. The condition factor estimated from the length–weight relationship can provide an indication of the “well-being” of a given species and can be an indicator of food abundance for a species in a given area or time (Mzighani 2005). For many bivalve species, several environmental factors are known to affect shell morphology and relative proportions, such as latitude (Beukema & Meehan 1985), depth (Claxton et al. 1998), shore and tidal levels (Franz 1993), water currents and turbulence (Hinch & Bailey 1988; Fuiman et al. 1999), wave exposure (Akester & Martel 2000), type of bottom (Claxton et al. 1998) and sediment type (Newell & Hidu 1982). Thereafter, Tlig-Zouari et al. (2009, 2010) and Derbali et al. (2011, 2012) from Tunisia argued that these parameters are known to be potentially related to environmental conditions and vary within bivalve species and between localities.
Sexual maturity of bivalves is classified according to microscopic features, such as the presence of gametes in gonads and the degree of their development, though sometimes it can be determined from macroscopic features, i.e. the appearance and colour of gonads (Lucas 1965). Similar trends were observed in other bivalve families, such as Pectenidae, Mytilidae, Limidae and Cardiidae, both sex and the degree of gonad development can be determined based on the color of gonads (Lubet 1959; Derbali et al. 2009a,b; 2012, 2014). Accordingly, the overall sex ratio (F:M = 1.26:1) significantly deviate from parity (F:M = 1:1;
Finally, this study provides crucial information on the spread of potentially commercially valuable