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The demographics and morphometries of biogenic reefs: important considerations in conservation management

Published online by Cambridge University Press:  25 May 2017

Jenna M. Brash*
Affiliation:
School of Life Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK Fugro GB Marine Limited, Edinburgh EH14 4AP, UK
Robert L. Cook
Affiliation:
School of Life Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
Clara L. Mackenzie
Affiliation:
School of Life Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
William G. Sanderson
Affiliation:
School of Life Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK St Abbs Marine Station, St Abbs, Scottish Borders, TD14 5PW, UK
*
Correspondence should be addressed to: J.M. Brash, Centre for Marine Biodiversity and Biotechnology, School of Life Science, Heriot-Watt University, Edinburgh EH14 4AS, UK email: [email protected]
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Abstract

Modiolus modiolus L. (horse mussel) reefs are a priority marine habitat of high conservation value that is currently listed as endangered and/or threatened across its European distribution. Population structure, density or shell morphology may influence the biodiversity of a reef, either directly or indirectly. Thus, such metrics are important considerations for successful conservation management of these biodiversity hotspots. Population structure, shell morphology and growth rates were examined in M. modiolus reefs across the UK range of the habitat to examine differences between key populations, including those near the Lleyn Peninsula in Wales (southern range), off Port Appin in Western Scotland (mid-range) and in Scapa Flow in the Orkney Isles, Scotland (northern range). Additionally, the influence of physical conditions (temperature and tidal flow) to growth rate and predicted maximum shell length for each population was examined. Growth rates were determined using acetate peels of sectioned shells. Lower juvenile abundance was observed in Scapa Flow. Small, narrow-shaped shells were found to be characteristic of North Lleyn mussels, and larger, globular-shaped shells were characteristic of mussels in Scapa Flow and off Port Appin. Mussels in Scapa Flow were slower growing, yet reached a longer asymptotic length (L) than mussels of Port Appin and North Lleyn. Growth curves from sites within this study were analysed with other published data. A trend of higher L at higher latitudes and at lower flow rates was observed. Variations in growth and age are discussed in relation to flow regimes, connectivity to other reefs, density and latitude.

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2017 

INTRODUCTION

The horse-mussel, Modiolus modiolus (Linnaeus, 1758) occurs singularly, in clumps, or as high-density, species-rich biogenic reefs in temperate coastal regions around the world (Rees et al., Reference Rees, Sanderson, Mackie and Holt2008; Sanderson et al., Reference Sanderson, Holt, Ramsay, Perrins, McMath and Rees2008; Rees, Reference Rees2009). Modiolus modiolus reefs of conservation importance can be identified by their extent, percentage cover of live M. modiolus, and associated communities (Morris, Reference Morris2015). The decline of M. modiolus reefs in the North East Atlantic marks them as protected marine conservation features (Rees, Reference Rees2009; Cook et al., Reference Cook, Fariñas-Franco, Gell, Holt, Holt, Lindenbaum, Porter, Seed, Skates, Stringell and Sanderson2013). They are therefore identified under several conservation drivers: The Marine (Scotland) Act 2010; the Habitats and Species Directive (Council Directive 92/43/EEC); the OSPAR Convention; and the Marine Strategy Framework Directive (MSFD; Council Directive 2008/56/EC).

The extent and density of M. modiolus reefs have previously been used to determine reef condition (Rees, Reference Rees2009; Moore et al., Reference Moore, Harries and Trigg2012; Fariñas-Franco et al., Reference Fariñas-Franco, Sanderson and Roberts2014). However, these measures indicate little about their future prospects. Instead, parameters such as size-frequency distribution, morphometries and growth rates may be more appropriate for understanding long-term reef status. An understanding of reef-based differences will also support development of ecologically relevant climate envelope models and aid in illuminating potential impacts (e.g. altered ecosystem function due to shifts in body size) of a changing climate (Peck et al., Reference Peck, Clark, Morley, Massey and Rossetti2009; Somero, Reference Somero2010; Sandford & Kelly, Reference Sanford and Kelly2011).

Growth of M. modiolus is usually rapid in the first 4–6 years in order to reach an adult shell length (~35–40 mm) (Anwar et al., Reference Anwar, Richardson and Seed1990). At this size predation pressure is typically reduced (Comely, Reference Comely1978; Holt et al., Reference Holt, Rees, Hawkins and Seed1998) and animals can then spend more of their energy resources on reproduction as opposed to growth. Modiolus modiolus are reported to be sexually mature between 4–8 years old (Wiborg, Reference Wiborg1946; Rowell, Reference Rowell1967; Jasim & Brand, Reference Jasim and Brand1989). Temperature influences growth rates in bivalves, with slower growth rates characteristic of higher latitudes and greater depths (MacDonald & Thompson, Reference MacDonald and Thompson1985; Sato, Reference Sato1994). Near-bed seawater temperature data for the UK indicates a difference of up to 3–4°C between northern and southern latitudes, and consequently one would expect temperature driven variation in growth rates across M. modiolus reef habitats (see Gormley et al., Reference Gormley, Porter, Bell, Hull and Sanderson2013; Seidov et al., Reference Seidov, Baranova, Biddle, Boyer, Johnson, Mishonov, Paver and Zweng2013). It has also been suggested that gonad development is slower in bivalves in colder temperatures, as such conditions may lead to late maturity and subsequently allow northern populations to attain a larger size before energy is focused on reproduction (Sato, Reference Sato1994). The availability of food is another factor that may affect growth rates, suggesting slower growth rates would be observed in deep-water populations, where food is more limited (MacDonald & Thompson, Reference MacDonald and Thompson1985). Additionally, intertidal M. modiolus populations have demonstrated slower growth rates than populations in fast flowing currents, e.g. on oilrigs in the North Sea (Anwar et al., Reference Anwar, Richardson and Seed1990), where increased flow rates reduce the energy required to filter feed (Wildish & Peer, Reference Wildish and Peer1983); however, differences in food availability and feeding windows between intertidal and offshore sites may also play a role (Lesser et al., Reference Lesser, Witman and Sebnens1994).

Physical conditions also have a strong influence on shell morphology with bivalves generally exhibiting high plasticity in response to local environmental conditions (Seed, Reference Seed1968; O'Connor, Reference O'Connor2010). For example, bivalves with narrow shaped shells reduce the effects of drag and the risk of dislodgement, and are typically found in areas with high flow rates (Seed, Reference Seed1968, Reference Seed, Rhoads and Lutz1980; Steffani & Branch, Reference Steffani and Branch2003). Reef density has also been seen to influence the morphology of bivalves, with narrower shells found in denser populations. This may be a response to food availability, disease prevalence and/or physical interference (Alunno-Bruscia et al., Reference Alunno-Bruscia, Bourget and Frechette2001; Lauzon-Guay et al., Reference Lauzon-Guay, Hamilton and Barbeau2005; Caill-Milly et al., Reference Caill-Milly, Bru, Mahé, Borie and D'Amico2012). Depth (Etter & Rex, Reference Etter and Rex1990) and substrate type (Seed, Reference Seed, Rhoads and Lutz1980) have also been cited as influencing morphology in bivalves. A recent study on the morphology of M. modiolus shells found significant differences in shell shape between sites within an enclosed loch, probably due to differences in current speed and sediment type between sites (Fariñas-Franco et al., Reference Fariñas-Franco, Sanderson and Roberts2014).

Recruitment of juveniles influences population structure, and effective recruitment relies on successful spawning and settlement of larvae. The spawning season of M. modiolus is poorly understood and tends to vary greatly between reefs, though is probably linked to temperature. Settlement of larvae at certain reefs is also highly variable and sporadic between years (Wiborg, Reference Wiborg1946; Seed & Brown, Reference Seed and Brown1977; Brown, Reference Brown1984). Comely (Reference Comely1978) suggested settlement differences between reefs were due to larvae originating from outside the reef area; hence recruitment would be affected by hydrodynamic conditions, particularly as M. modiolus larvae can remain within the water column for ~1 month (Schweinitz & Lutz, Reference Schweinitz and Lutz1976; Roberts et al., Reference Roberts, Allcock, Fariñas Franco, Gorman, Maggs, Mahon, Smyth, Strain and Wilson2011). In addition, a population may act as a larval sink or source, resulting in recruitment differences between reefs (Lipcius et al., Reference Lipcius, Eggleston, Schreiber, Seitz, Shen, Sisson, Stockhausen and Wang2008). Variation in mussel density on a reef may also influence recruitment. Adult aggregations provide refuge, and consequently can increase post-settlement survival by protecting juvenile M. modiolus from predation (Comely, Reference Comely1978; Holt et al., Reference Holt, Rees, Hawkins and Seed1998).

Population structure, density or shell morphology may influence the biodiversity of a given reef, either directly through the abundance and diversity of associated communities (Gutiérrez et al., Reference Gutiérrez, Jones, Strayer and Iribarne2003; O'Connor & Crowe, Reference O'Connor and Crowe2007; Ragnarsson & Burgos, Reference Ragnarsson and Burgos2012) or indirectly through the reef's capability for habitat modification (Allen & Vaughn, Reference Allen and Vaughn2011). It is important for such factors to be taken into consideration in Marine Protected Area (MPA) monitoring programmes for successful conservation management of these biodiversity hotspots.

The aim of the present study was to compare population structure, shell morphology and growth rates of M. modiolus reef populations from three sites situated across the extent of the UK distribution for the habitat including the Lleyn Peninsula in Wales (southern range), off Port Appin in Western Scotland (mid-range) and in Scapa Flow in the Orkney Isles, Scotland (northern range). The main hypothesis of the work was that sites would vary significantly in these aspects with observed differences related to differences in latitude (as a proxy of temperature), current flow and mussel density. Differences in these population parameters are likely to have important implications for the conservation management of M. modiolus populations in a changing climate.

MATERIALS AND METHODS

Mussels were collected by clearing ~1 m2 plots on M. modiolus ‘reefs’ (cf. Morris, Reference Morris2015) using scuba. Four plots were cleared in Scapa Flow (58°53′0.446N 03°11′0.255W; 23 m below chart datum (BCD)), three plots were cleared off Port Appin (56°33′0.029N 05°25′0.468W; 21 m BCD) and four plots were cleared from north of the Lleyn Peninsula (52°56′0.516 N 04°38′0.070W; 30 m BCD); (Figure 1). These sites were chosen as representative of different reef types found in the UK with regards mussel density, geographic location (i.e. latitude) and flow regime.

Fig. 1. Study sites: Scapa Flow (1), Port Appin (2) and North Lleyn (3) were sampled in the present study. The Humber Estuary (4), Irish Sea (5), Isle of Man (6), Strangford Lough (7), Isle of Mull (8) and Ling Bank (9) were sampled in the Anwar et al. (Reference Anwar, Richardson and Seed1990) study.

The North Lleyn reef is currently the largest known M. modiolus reef in the UK, with an extent of ~349 ha (Lindenbaum et al., Reference Lindenbaum, Bennell, Rees, McClean, Cook, Wheeler and Sanderson2008). The reef lies within and forms a feature of the Pen Lŷn a'r Sarnau SAC and is believed to be the most southerly reef in the UK (Lindenbaum et al., Reference Lindenbaum, Bennell, Rees, McClean, Cook, Wheeler and Sanderson2008). The reef has high densities of M. modiolus with raised reef structures present across the reef's extent (Lindenbaum et al., Reference Lindenbaum, Bennell, Rees, McClean, Cook, Wheeler and Sanderson2008; Sanderson et al., Reference Sanderson, Holt, Ramsay, Perrins, McMath and Rees2008). The Scapa Flow reef is the mostly northerly reef in this study and is less dense than the North Lleyn reef and comprised of three main areas with a combined extent of 42 ha (Sanderson et al., Reference Sanderson, Hirst, Fariñas Franco, Grieve, Mair, Porter and Stirling2014). The Port Appin reef is approximately mid latitude between the other two reefs, and is the smallest of the three reefs with an extent of ~2 ha. The reef is continuous within this area with high densities of M. modiolus but lacks the raised structures found on the North Lleyn reef (Moore et al., Reference Moore, Harries and Trigg2012).

A current meter (MIDAS ECM, Valeport Ltd, Devon, UK) was placed at each site for 6 days during a neap cycle, recording current speed, direction and water depth every 5 s. The densities of the M. modiolus reefs were estimated using 0.25 m2 photo quadrats using the method and counting rules outlined in Cook et al. (Reference Cook, Fariñas-Franco, Gell, Holt, Holt, Lindenbaum, Porter, Seed, Skates, Stringell and Sanderson2013). Nine and five photo quadrats were taken in 2014 from Scapa Flow and Port Appin reefs, respectively. Photo quadrats could not be taken in 2014 on the North Lleyn reef, so seven photo quadrats taken in 2009 (Cook et al., Reference Cook, Fariñas-Franco, Gell, Holt, Holt, Lindenbaum, Porter, Seed, Skates, Stringell and Sanderson2013), were analysed instead.

Length frequency and morphometric data

The maximum shell-lengths of all M. modiolus were measured to the nearest 0.1 mm using digital vernier calipers, before being returned to the reef. In addition, width and height of the first 50 mussels were recorded for morphometric analysis. Debris from the cleared plots was washed through a 1 mm sieve in order to include juveniles in the analysis. This was fixed in seawater buffered 10% formaldehyde solution, and subsequently sorted by hand to find juveniles. Juveniles were measured using the same method as described above. Additional length, width and height measurements of M. modiolus were collated from historical surveys (2010–2015) at the same sites.

Growth rate data

Thirty mussels of varying lengths were selected from each site across an even size range. Acetate peels were used to age the mussels as described in Richardson et al. (Reference Richardson, Crisp and Runham1979) and Anwar et al. (Reference Anwar, Richardson and Seed1990). One valve from each mussel was cut longitudinally, along the umbone-rim axis, using a circular saw. To prevent breakages, shells <60 mm in length were set in clear polyester casting resin before being cut. Once cut, the shell half containing the umbone was sanded, polished and then etched in 1% hydrochloric acid. The edge of the shell was dipped in acetone before being placed on an acetate sheet. After drying, the sheet was pulled from the shell, leaving a ‘peel’ of the inner nacreous layer. All peels were aged via use of a dissection microscope with each of the dark bands in the middle nacreous layer representing a year of growth (Figure 2).

Fig. 2. Acetate peel of a 16-year-old M. modiolus specimen. White arrows indicate some of the dark winter bands in the younger half of the shell, laid down each year within the middle nacreous layer.

Analyses

All statistical analyses were completed using the statistical software R (release 3.1.1, 2014). One-way ANOVAs with follow-up pairwise comparisons were used to test for differences in flow rates, collected with the current meter, between the sites. Length frequency measurements were converted to percentage size frequency and plotted for each sampled site along with approximate ages based on the growth curves. One-way ANOVAs, with follow-up pairwise comparisons were then used to test the differences in the mean length of the mussels between sites.

Differences in morphometric ratios between shell measurements were compared between sites. The ratios of height-length were used as a measure of shell elongation, width-height as a measure of shell inflation and width-length as a measure of shell obesity (Zieritz & Aldridge, Reference Zieritz and Aldridge2009; Fariñas Franco et al., Reference Fariñas-Franco, Sanderson and Roberts2014). Due to the limited number of mussels <50 mm found on some reefs, all mussels <50 mm were removed from the morphometric analysis. These morphometric ratios were not normally distributed; therefore, Kruskal–Wallis tests were used to test for statistically significant differences in the shell shape ratios between sites. Additionally, approximations of the shell shapes of M. modiolus at the same age from North Lleyn, Port Appin and Scapa Flow reefs were created according to calculated ratios and growth rates.

Values for maximum length (L ), growth rate (K) and tθ were identified to produce growth curves based on von Bertalanffy's growth equation for each of the populations. Starting parameters were estimated using VbStarts in the FSA package within R (Fish R, Reference Fish2014). These starting values were then used to calculate the coefficients using the non-linear least-squared regression within R. L and K values were plotted with the best-fit von Bertalanffy growth model superimposed. These values, along with L and K values from six other populations reported in Anwar et al. (Reference Anwar, Richardson and Seed1990) (Figure 1), were used to test for correlations with maximum tidal flow and latitude. After assumptions of normality and equal variance were confirmed, a Pearson's Product Moment Correlation test was used to compare these L and K values against predicted maximum flow rates (BERR, 2008) and latitude of the nine sites. The current meter data was not used in this analysis, as benthic current flow data was not available for the additional six sites. The relationship between latitude and flow was tested separately using Spearman's Rank Correlation.

RESULTS

The mean current speed at the North Lleyn site was 0.244 m s−1, significantly faster than at Scapa Flow (0.029 m s−1, P < 0.001) and Port Appin (0.106 m s−1, P < 0.001). The current at Port Appin was also significantly faster than at Scapa Flow (P < 0.001). The North Lleyn reef had 24.6 M. modiolus per m2 and 21% coverage, the Port Appin reef had 16 per m2 and 16% coverage, and the Scapa Flow reef had 11.1 per m2 and 11% coverage.

Length frequency distributions for each of the sites were bimodal (Figure 3), most pronounced in the Port Appin and North Lleyn populations. The mussels sampled at Scapa Flow were significantly larger (mean 88.75 mm) than those at Port Appin (mean 50.1 mm; P < 0.001) and North Lleyn (mean 56.04 mm; P < 0.001).

Fig. 3. Percentage size frequency (mm) of M. modiolus from Scapa Flow (N = 118), Port Appin (n = 218) and North Lleyn (n = 113). Numbers above bars indicate approximate age of size classes using the growth rates for each site.

Shell morphometric ratios of inflation, elongation and obesity were found to be significantly different between sites. Mussels from the North Lleyn reef were significantly less elongated than mussels from the Port Appin Reef or Scapa Flow reef (respective Kruskal–Wallis χ2 = 3.614 and 2.111; P < 0.001 and P < 0.05). Mussels from the North Lleyn reef were also significantly less inflated (respective Kruskal–Wallis for inflation χ2 = 5.729 and 4.618; P < 0.001), and less obese (respective Kruskal–Wallis for inflation χ2 = 7.733 and 6.754; P < 0.001) than mussels from the Port Appin reef or Scapa Flow reef (Figure 4). Overall, this gave the mussels from the North Lleyn reef a more streamlined profile, having 1% less height and 4.6% less width at a given length compared with the other reefs, and 8.4% less height at a given width compared with the other reefs. The approximate shell shapes of M. modiolus, at a similar age, from the three sites are illustrated in Figure 5.

Fig. 4. The relationship between length and height (A), length and width (B), and height and width (C) of M. modiolus from Scapa Flow (N = 110), Port Appin (N = 96) and North Lleyn (N = 95).

Fig. 5. An approximation of the shell shapes of M. modiolus of the same age from North Lleyn, Port Appin and Scapa Flow.

Von Bertalanffy growth curves revealed that M. modiolus from the Scapa Flow population had a higher L (159.8 mm) and a lower K value (0.04) compared with the other sites in this study (Figure 6; Table 1). North Lleyn M. modiolus had a lower L value (L 110.9 mm), and a lower K value (0.059) compared with the Port Appin population (L 122.82, K 0.061).

Fig. 6. Von Bertalanffy growth curves of the three M. modiolus populations analysed in this study: Scapa Flow, Port Appin and North Lleyn.

Table 1. L (mm) and K constant of the von Bertalanffy equation LI (t) = L (1-e-K (t-tθ)), from the three M. modiolus populations studied in this paper as well as the six populations studied by Anwar et al. (Reference Anwar, Richardson and Seed1990). Depths at which the samples were taken are included, as well as approximate flow rates (BERR, 2008).

The K and L values obtained from the Anwar et al. (Reference Anwar, Richardson and Seed1990) study are listed in Table 1 with predicted max flow rates and depths. A significant positive relationship was found between latitude and L (r = 0.74, t = 2.85, P < 0.05; Figure 6) and a significant negative relationship was found between flow and L (r = −0.82, t = −3.4836, P < 0.05; Figure 7). There was no significant relationship between K and any environmental variable. There was also no significant correlation between flow and latitude (T = 10, P = 0.39).

Fig. 7. Relationship between the latitude and the L (mm) (A), and the chart surface flow and L (mm) (B), of the respective M. modiolus growth curves from each of the sites.

DISCUSSION

The present study found that M. modiolus from different reefs exhibited different demographic profiles, morphologies and growth rates, that varied with tidal flow and latitude. Growth rates and maximum achievable sizes increased with current flow and latitude. Both factors may also directly contribute to the observed variations in juvenile abundance and shell morphology, but indirect impacts via changes to energy budgets should also be considered (Sokolova et al., Reference Sokolova, Frederich, Bagwe, Lannig and Sukhotin2012).

Differences in juvenile abundance are tentatively interpreted here because of the low number of sites studied. Nevertheless, the increased abundance of juveniles at North Lleyn and Port Appin (Figure 3) may be due to the higher current flows observed (Comely, Reference Comely1978; Brown, Reference Brown1984). Such conditions may lead to increased connectivity via improved larval supply from other reefs in the Irish Sea (Anwar et al., Reference Anwar, Richardson and Seed1990; Rees et al., Reference Rees, Sanderson, Mackie and Holt2008; Gormley et al., Reference Gormley, Mackenzie, Robins, Coscia, Cassidy, James, Hull, Piertney, Sanderson and Porter2015b) and Loch Linnhe respectively (Rees, Reference Rees2009; Moore et al., Reference Moore, Harries and Trigg2012). Conversely, the decreased abundance of juveniles in Scapa Flow may be caused by limited connectivity, due to reduced tidal flow and a lack of known neighbouring reefs (Rees, Reference Rees2009; Gormley et al., Reference Gormley, Hull, Porter, Bell and Sanderson2015a). Furthermore, while the Scapa Flow population had the largest L , it also had a lower mussel density compared with the Port Appin and North Lleyn reefs. Although gamete production is correlated with body size, population density has been shown to be equally important to fertilization success and reproductive output (Levitan, Reference Levitan1991), and consequently could partially account for lowered abundance of juveniles in the northern population. The higher structural complexity found on reefs with higher densities might also afford more shelter to juveniles from predation (Comely, Reference Comely1978; Holt et al., Reference Holt, Rees, Hawkins and Seed1998). An increase in reef complexity has been shown to increase post-settlement survival in other bivalves (Gutierrez et al., Reference Gutiérrez, Jones, Strayer and Iribarne2003; Nestlerode et al., Reference Nestlerode, Luckenbach and O'Beirn2007).

The high mussel density and narrow-shaped shells of mussels from North Lleyn, and low density and globular-shaped shells from Scapa Flow and Port Appin, support the view that crowding leads to narrower shells (Alunno-Bruscia et al., Reference Alunno-Bruscia, Bourget and Frechette2001; Lauzon-Guay et al., Reference Lauzon-Guay, Hamilton and Barbeau2005; Caill-Milly et al., Reference Caill-Milly, Bru, Mahé, Borie and D'Amico2012). However, the lower density at Port Appin does not support this hypothesis. Moreover, given that flow rates were significantly higher at North Lleyn than at Port Appin or Scapa Flow, flow rate, rather than density, may be the stronger driver of shell morphology. The narrow-shaped shells from North Lleyn are possibly a morphological adaptation to allow a better hold within the sediment and reduce the risk of dislodgement in fast flowing currents (Seed, Reference Seed1968, Reference Seed, Rhoads and Lutz1980; Steffani & Branch, Reference Steffani and Branch2003; Fariñas-Franco et al., Reference Fariñas-Franco, Sanderson and Roberts2014).

A significant positive relationship was observed between latitude and L when including data from the Anwar et al. (Reference Anwar, Richardson and Seed1990) study. Bergmann's rule, that a species will demonstrate a larger body size at higher latitudes (i.e. lower temperatures), may explain this relationship (Berke et al., Reference Berke, Jablonski, Krug, Roy and Tomasovych2013). Oxygen concentration generally limits the size of ectotherm species as surface area to volume ratios decrease with increased body size, thereby reducing gas exchange capability. The increased solubility of oxygen at lower seawater temperatures however, coupled with lowered metabolic demands under such conditions, reduces these size constraints in animals at higher latitudes (Chapelle & Peck, Reference Chapelle and Peck2004; Makarieva et al., Reference Makarieva, Gorshkov and Li2005; Moran & Woods, Reference Moran and Woods2012). However, Berke et al. (Reference Berke, Jablonski, Krug, Roy and Tomasovych2013) highlight that there is enormous diversity in size-latitude relationships for marine bivalves. Body size is influenced by a complex interaction of physiological, ecological and evolutionary drivers that affect growth rates, food availability, reproductive output, predation pressure, longevity and various other factors. Under increased thermal stress (e.g. at the edge of a biogeographic range), strain is placed on internal physiological systems. The related costs of energy acquisition, conversion and conservation, impact energy budgets with negative consequences for growth and reproduction (Sokolova et al., Reference Sokolova, Frederich, Bagwe, Lannig and Sukhotin2012). There are numerous studies that demonstrate temperature-induced changes to various aspects of energetics including growth, metabolism, reproductive output and condition index in ectotherm species (Pörtner, Reference Pörtner2002, Reference Pörtner2012; Lesser & Kruse, Reference Lesser and Kruse2004; Hofmann & Todgham, Reference Hofmann and Todgham2010; Sokolova, Reference Sokolova2013). Additionally, given that shell formation and repair are energetically expensive (Palmer, Reference Palmer1992), increasing temperature may have negative repercussions for shell growth. Elevated temperature may also negatively affect shell biomineralization, particularly when coupled with limited food availability (Mackenzie et al., Reference Mackenzie, Bell, Birchenough, Culloty, Sanderson, Whiteley and Malham2013; Thomsen et al., Reference Thomsen, Casties, Pansch, Körtzinger and Melzner2013). Additionally, variation in depth between sites, particularly with regard to those deeper sites examined by Anwar et al. (Reference Anwar, Richardson and Seed1990), may influence the growth of mussels at the same latitude but at different depths, especially as previous research has shown that even small changes in temperature can influence bivalve growth (Almada-Villela et al., Reference Almada-Villela, Davenport and Gruffydd1982). Likewise, there are additional abiotic (e.g. photoperiod) and biotic (e.g. food availability) factors which vary with latitude and also influence growth that future work could consider (Strömgren, Reference Strömgren1976; Brodte et al., Reference Brodte, Knust and Pörtner2006).

A significant negative relationship between flow rate and the maximum theoretical length (L ) was also observed in M. modiolus when including data from Anwar et al. (Reference Anwar, Richardson and Seed1990). Such findings could be an indication of the energetic demands of byssal thread production under high flow conditions, reducing the risk of dislodgement, and reducing scope for growth (Comely, Reference Comely1978; Okamura, Reference Okamura1986; Anwar et al., Reference Anwar, Richardson and Seed1990; Fariñas-Franco et al., Reference Fariñas-Franco, Sanderson and Roberts2014). The findings could also possibly highlight an upper limit to flow conditions that are conducive to efficient food uptake, as current velocity determines the flux of material available for feeding (Lesser et al., Reference Lesser, Witman and Sebnens1994).

An increase in global CO2 concentration has caused sea temperatures to rise, especially in the latter part of the last century and, under current climate change emission scenarios, is predicted to continue to increase (3–5°C by 2100) (IPCC, 2014). For M. modiolus reefs at the limit of the species’ thermal tolerance (e.g. the North Lleyn reef), warming is likely to be a contributory factor to potential decline. Mean bottom temperature at this southern aspect of the distribution was 11°C in 2009 (Gormley et al., Reference Gormley, Porter, Bell, Hull and Sanderson2013) and regional summer seawater temperatures as high as 17–18°C have been reported (CEFAS Coastal Temperature Network). Warming is likely to cause range shifts in species and habitats as species align their distributions to match their physiological tolerances (Doney et al., Reference Doney, Ruckelshaus, Duffy, Barry, Chan, English, Galindo, Grebmeier, Hollowed, Knowlton, Polovina, Rabalais, Sydeman and Talley2012). Consequently, M. modiolus reefs may respond to future climate change by shifting distribution further northward. Climate-population models have indicated that changes in population demographics, abundance and size may accompany such climate-driven range shifts (Hare et al., Reference Hare, Alexander, Fogarty, Williams and Scott2010). Results here provide baseline values against which changes in such factors may be monitored thereby aiding detection of potential climate change impacts. Further, where populations are genetically connected (Gormley et al., Reference Gormley, Hull, Porter, Bell and Sanderson2015a, Reference Gormley, Mackenzie, Robins, Coscia, Cassidy, James, Hull, Piertney, Sanderson and Porterb) and thus may have similar adaptive capacity, consideration of the effects of temperature in more southern regions may give some indication of effects to be expected in more northerly populations. However, given both the longevity of M. modiolus and current acceleration in rates of climate change, many reefs will have limited opportunity for adaptation.

Under the OSPAR Convention for the Protection of the Marine Environment of the North East Atlantic 1992, M. modiolus reefs are listed as Priority Marine Habitats (determined as ‘threatened and/or declining species and habitats’) (OSPAR, 2009). The maintenance of such habitats is therefore key to the achievement of ‘Good Environmental Status’ under the European Union (EU) Marine Strategy Framework Directive (OSPAR, 2012). The findings of the present study have important implications when considering how Marine Protected Areas (MPAs) for these reefs are managed, particularly in a changing climate (Gormley et al., Reference Gormley, Porter, Bell, Hull and Sanderson2013, Reference Gormley, Hull, Porter, Bell and Sanderson2015a). Although the underlying causes of variation in demographics between sites would require further investigation, strong reproduction and post-settlement survival (collectively referred to as recruitment and measurable as juvenile abundance) are nevertheless desirable characteristics for reefs within an MPA. From a cost-benefit perspective, MPAs with stronger recruitment are more likely to achieve conservation objectives. In some cases, maintaining strong recruitment might be a site-specific management consideration (self-recruiting reefs) or it might require the management of larval supply from outside the MPA (cf. Gormley et al., Reference Gormley, Mackenzie, Robins, Coscia, Cassidy, James, Hull, Piertney, Sanderson and Porter2015b), thus requiring a network approach. At present, no MPA management plans or conservation objectives give detailed consideration of how recruitment should be managed. For a habitat type that has declined (Rees, Reference Rees2009), restoration may be necessary to maintain the shellfish reefs within the MPA (cf. Fariñas-Franco et al., Reference Fariñas-Franco, Sanderson and Roberts2014) or to create stepping-stones in planned climate migration (Gormley et al., Reference Gormley, Hull, Porter, Bell and Sanderson2015a, Reference Gormley, Mackenzie, Robins, Coscia, Cassidy, James, Hull, Piertney, Sanderson and Porterb). In such cases, Fariñas-Franco et al. (Reference Fariñas-Franco, Sanderson and Roberts2014) considered that M. modiolus ecophenotypes might need to be matched to MPAs if donor populations were to be used in the rehabilitation of declining populations in that MPA. For example, a globular shell shape may not fare well if translocated to an area of greater flow (Hiscock et al., Reference Hiscock, Tyler-Walters and Jones2002) and morphological adaptation is unlikely to be rapid in these slow growing, long-lived species (Fariñas-Franco et al., Reference Fariñas-Franco, Sanderson and Roberts2014). The present study provides widespread evidence of significantly different ecophenotypes linked to flow and latitude and therefore further emphasizes these conclusions.

Significant morphological and demographic variation between locations also gives cause for consideration that, since body size is often linked to fecundity, and population size is clearly linked to total reproductive output (and probably recruitment) some populations may be a higher priority for conservation management than others. Whether it is preferable to direct conservation management effort towards high densities of smaller individuals such as off the North Lleyn (mean length 56.04 mm, 30.8 ind. m2) or reefs with low densities of bigger animals such as in Scapa Flow (mean length of 88.7 mm and 5.80 ind. m2) would require a more detailed analysis of total reproductive outputs and vectors.

This study presents differences between M. modiolus populations in terms of their demographics, morphology and growth. Overall the study highlights that conservation management needs to carefully consider the demographics and morphology of protected M. modiolus populations in the prioritization of management effort, in assessments of the future prospects of protected areas, and the consideration of restoration. These implications are particularly relevant to planning for a changing climate.

ACKNOWLEDGEMENTS

Thank you to Dan Harries, Hamish Mair, Joanne Porter, Rebecca Grieve, Ashley Cordingley and Robert Harbour for their support during sample and data collection. José Fariñas-Franco gave advice on producing acetate peels; Kate Gormley provided some of the historical sample metadata; and Rebecca Grieve provided quadrat photographs of the reefs at Scapa Flow for density estimates. Hamish Mair also provided feedback on early drafts of the manuscript, for which we are grateful. Special thanks also go to Rohan Holt and the marine monitoring team at Natural Resource Wales for facilitating sample collection from the reef at North Lleyn.

FINANCIAL SUPPORT

This work received funding from the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) and their support is gratefully acknowledged. MASTS is funded by the Scottish Funding Council (grant number HR09011) and contributing institutions.

References

REFERENCES

Allen, D.C. and Vaughn, C.C. (2011) Density-dependent biodiversity effects on physical habitat modification by freshwater bivalves. Ecology 92, 10131019.Google Scholar
Almada-Villela, P.C., Davenport, J. and Gruffydd, L.D. (1982) The effects of temperature on the shell growth of young Mytilus edulis L. Journal of Experimental Marine Biology and Ecology 59, 275288.Google Scholar
Alunno-Bruscia, M., Bourget, E. and Frechette, M. (2001) Shell allometry and length-mass-density relationship for Mytilus edulis in an experimental food-regulated situation. Marine Ecology Progress Series 219, 177188.Google Scholar
Anwar, N.A., Richardson, C.A. and Seed, R. (1990) Age determination, growth rate and population structure of the horse mussel Modiolus modiolus. Journal of the Marine Biological Association of the United Kingdom 70, 441457.Google Scholar
Berke, S.K., Jablonski, D., Krug, A.Z., Roy, K. and Tomasovych, A. (2013) Beyond Bergmann's rule: size-latitude relationships in marine Bivalvia world-wide. Global Ecology and Biogeography 22, 173183.Google Scholar
BERR (2008) Atlas of UK marine renewable energy resources: a strategic environmental assessment report. London: Department for Business Enterprise and Regulatory Reform.Google Scholar
Brodte, E., Knust, R. and Pörtner, H.O. (2006) Temperature-dependent energy allocation to growth in Antarctic and boreal eelpout (Zoarcidae). Polar Biology 30, 95107.Google Scholar
Brown, R.A. (1984) Geographical variations in the reproduction of the horse mussel, Modiolus modiolus (Mollusca: Bivalvia). Journal of the Marine Biological Association of the United Kingdom 64, 751770.Google Scholar
Caill-Milly, N., Bru, N., Mahé, K., Borie, C. and D'Amico, F. (2012) Shell shape analysis and spatial allometry patterns of Manila clam (Ruditapes philippinarum) in a mesotidal coastal lagoon. Journal of Marine Biology 2012, 111.Google Scholar
Chapelle, G. and Peck, L.S. (2004) Amphipod crustacean size spectra: new insights in the relationship between size and oxygen. Oikos 106, 167175.Google Scholar
Comely, C.A. (1978) Modiolus modiolus (L.) from the Scottish West coast. I. Biology. Ophelia 17, 167193.Google Scholar
Cook, R., Fariñas-Franco, J.M., Gell, F.R., Holt, R.H.F., Holt, T., Lindenbaum, C., Porter, J.S., Seed, R., Skates, L.R., Stringell, T.B. and Sanderson, W.G. (2013) The substantial first impact of bottom fishing on rare biodiversity hotspots: a dilemma for evidence-based conservation. PLoS ONE 8, e69904.Google Scholar
Doney, S.C., Ruckelshaus, M., Duffy, J.E., Barry, J.P., Chan, F., English, C.A., Galindo, H.M., Grebmeier, J.M., Hollowed, A.B., Knowlton, N., Polovina, J., Rabalais, N.N., Sydeman, W.J. and Talley, L.D. (2012) Climate change impacts on marine ecosystems. Marine Science 4, 1137.Google Scholar
Etter, R.J. and Rex, M.A. (1990) Population differentiation decreases with depth in deep-sea gastropods. Deep Sea Research Part A. Oceanographic Research Papers 37, 12511261.Google Scholar
Fariñas-Franco, J.M., Sanderson, W.G. and Roberts, D. (2014) Phenotypic differences may limit the potential for habitat restoration involving species translocation: a case study of shape ecophenotypes in different populations of Modiolus modiolus (Mollusca: Bivalvia). Aquatic Conservation: Marine Freshwater Ecosystems 26, 7694.Google Scholar
Fish, R. (2014) Introductory fisheries analyses with R: 3. Individual growth. [Online]. Available at http://fishr.wordpress.com/vignettes/ (accessed 18 June 2014).Google Scholar
Gormley, K.S.G., Hull, A.D., Porter, J.S., Bell, M.C. and Sanderson, W.G. (2015a) Adaptive management, international cooperation and planning for marine conservation hotspots in a changing climate. Marine Policy 53, 5466.Google Scholar
Gormley, K.S.G., Mackenzie, C.L., Robins, P., Coscia, I., Cassidy, A., James, J., Hull, A., Piertney, S., Sanderson, W.G. and Porter, J. (2015b) Connectivity and dispersal patterns of protected biogenic reefs: implications for the conservation of Modiolus modiolus (L.) in the Irish Sea. PLoS ONE 10, e0143337.Google Scholar
Gormley, K.S.G., Porter, J.S., Bell, M.C., Hull, A.D. and Sanderson, W.G. (2013) Predictive habitat modelling as a tool to assess the change in distribution and extent of an OSPAR priority habitat under an increased ocean temperature scenario: consequences for Marine Protected Area networks and management. PLoS ONE 8, e68263.Google Scholar
Gutiérrez, J.L., Jones, C.G., Strayer, D.L. and Iribarne, O.O. (2003) Mollusks as ecosystem engineers: the role of shell production in aquatic habitats. Oikos 101, 7990.Google Scholar
Hare, J.A., Alexander, M.A., Fogarty, M.J., Williams, E.H. and Scott, J.D. (2010) Forecasting the dynamics of a coastal fishery species using a coupled climate-population model. Ecological Applications 20, 452464.Google Scholar
Hiscock, K., Tyler-Walters, H. and Jones, H. (2002) High level environmental screening study for offshore wind farm developments – Marine habitats and species project. Report from the Marine Biological Association to The Department of Trade and Industry New & Renewable Energy Programme. (AEA Technology, Environment Contract: W/35/00632/00/00.).Google Scholar
Hofmann, G.E. and Todgham, A.E. (2010) Living in the now: physiological mechanisms to tolerate a rapidly changing environment. Annual Review of Physiology 72, 127145.Google Scholar
Holt, T.J., Rees, E.I., Hawkins, S.J. and Seed, R. (1998) Biogenic reefs (volume IX): an overview of dynamic and sensitivity characteristics for conservation management of marine SACs. Scottish Association for Marine Science (UK Marine SACs Project), 6671.Google Scholar
Intergovernmental Panel on Climate Change (IPCC) (2014) Climate change 2014 synthesis report: summary for policymakers. Cambridge: Cambridge University Press.Google Scholar
Jasim, A.K.N. and Brand, A.R. (1989) Observations on the reproduction of Modiolus modiolus in the Isle of Man. Journal of the Marine Biological Association of the United Kingdom 69, 373385.Google Scholar
Lauzon-Guay, J.S., Hamilton, D.J. and Barbeau, M.A. (2005) Effect of mussel density and size on the morphology of blue mussels (Mytilus edulis) grown in suspended culture in Prince Edward Island, Canada. Aquaculture 249, 265274.Google Scholar
Lesser, M.P. and Kruse, V.A. (2004) Seasonal temperature compensation in the horse mussel, Modiolus modiolus: metabolic enzymes, oxidative stress and heat shock proteins. Comparative Biochemistry and Physiology Part A: Molecular and Integrative Physiology 137, 495504.Google Scholar
Lesser, M.P., Witman, J.D. and Sebnens, K.P. (1994) Effects of flow and seston availability on scope for growth of benthic suspension-feeding invertebrates from the Gulf of Maine. The Biological Bulletin 187, 319335.Google Scholar
Levitan, D.R. (1991) Influence of body size and population density on fertilization success and reproductive output in a free-spawning invertebrate. The Biological Bulletin 181, 261268.Google Scholar
Lindenbaum, C., Bennell, J.D., Rees, E.I.S., McClean, D., Cook, W., Wheeler, A.J. and Sanderson, W.G. (2008) Small-scale variation within a Modiolus modiolus (Mollusca: Bivalvia) reef in the Irish Sea: I. Seabed mapping and reef morphology. Journal of the Marine Biological Association of the United Kingdom 88, 133141.Google Scholar
Lipcius, R.N., Eggleston, D.B., Schreiber, S.J., Seitz, R.D., Shen, J., Sisson, M., Stockhausen, W.T. and Wang, H.V. (2008) Importance of metapopulation connectivity to restocking and restoration of marine species. Reviews in Fisheries Science 16, 101110.Google Scholar
MacDonald, B.A. and Thompson, R.J. (1985) Influence of temperature and food availability on the ecological energetics of the giant scallop Placopecten magellanicus. Marine Ecology Progress Series 25, 295303.Google Scholar
Mackenzie, C.L., Bell, M.C., Birchenough, S.N.R., Culloty, S.C., Sanderson, W.G., Whiteley, N.M. and Malham, S.K. (2013) Future socio-economic and environmental sustainability of the Irish Sea requires a multi-disciplinary approach with industry and research collaboration, and cross-border partnership. Ocean and Coastal Management 85, 16.Google Scholar
Makarieva, A.M., Gorshkov, V.G. and Li, B.L. (2005) Gigantism, temperature and metabolic rate in terrestrial poikilotherms. Proceedings of the Royal Society B: Biological Sciences 272, 23252328.Google Scholar
Moore, C.G., Harries, D.B. and Trigg, C. (2012) The distribution of selected MPA search features within Lochs Linnhe, Etive, Leven and Eil: a broadscale validation survey (Part B). Scottish Natural Heritage Commissioned Report No. 502.Google Scholar
Moran, A.L. and Woods, H.A. (2012) Why might they be giants? Towards an understanding of polar gigantism. Journal of Experimental Biology 215, 19952002.Google Scholar
Morris, E. (2015) Defining Annex I biogenic Modiolus modiolus reef habitat under the Habitats Directive, JNCC Report 531, ISSN 0963–8901.Google Scholar
Nestlerode, J.A., Luckenbach, M.W. and O'Beirn, F.X. (2007) Settlement and survival of the oyster Crassostrea virginica on created oyster reef habitats in Chesapeake Bay. Restoration Ecology 15, 273283.Google Scholar
O'Connor, N.E. (2010) Shore exposure affects mussel population structure and mediates the effect of epibiotic algae on mussel survival. Estuarine, Coastal and Shelf Science 87, 8391.Google Scholar
O'Connor, N.E. and Crowe, T.P. (2007) Biodiversity among mussels: separating the influence of the size of individual mussels from the age of mussel patches. Journal of the Marine Biological Association of the United Kingdom 87, 551557.Google Scholar
Okamura, B. (1986) Group living and the effects of spatial position in aggregations of Mytilus edulis. Oecologia 3, 341347.Google Scholar
OSPAR Commission (2009) Background document for Modiolus modiolus beds. Biodiversity Series 425/2009. London: Ospar Commission.Google Scholar
OSPAR Commission (2012) MSFD advice manual and background document on biodiversity. Biodiversity Series (3.2)581/2012. London: Ospar Commission.Google Scholar
Palmer, A.R. (1992) Calcification in marine molluscs: how costly is it? Proceedings of the National Academy of Sciences USA 89, 13791382.Google Scholar
Peck, L.S., Clark, M.S., Morley, S.A., Massey, A. and Rossetti, H. (2009) Animal temperature limits and ecological relevance: effects of size, activity and rates of change. Functional Ecology 23, 248256.Google Scholar
Pörtner, H.O. (2002) Climate variations and the physiological basis of temperature dependent biogeography: systemic to molecular hierarchy of thermal tolerance in animals. Comparative Biochemistry and Physiology Part A: Molecular and Integrative Physiology 132, 739761.Google Scholar
Pörtner, H.O. (2012) Integrating climate-related stressor effects on marine organisms: unifying principles linking molecule to ecosystem-level changes. Marine Ecology Progress Series 470, 273290.Google Scholar
Ragnarsson, S.A. and Burgos, J.M. (2012) Separating the effects of a habitat modifier, Modiolus modiolus and substrate properties on the associated megafauna. Journal of Sea Research 72, 5563.Google Scholar
Rees, E.I.S., Sanderson, W.G., Mackie, A.S.Y. and Holt, R.H.F. (2008) Small-scale variation within a Modiolus modiolus (Mollusca: Bivalvia) reef in the Irish Sea. III. Crevice, sediment infauna and epifauna from targeted cores. Journal of the Marine Biological Association of the United Kingdom 88, 151156.Google Scholar
Rees, I. (2009) Assessment of Modiolus modiolus beds in the OSPAR area. Prepared on behalf of Joint Nature Conservation Committee. [Online] Available at http://www.ospar.org/html_documents/ospar/html/p00425_bdc%20version%20uk_modiolus.pdf (accessed 17 June 2014).Google Scholar
Richardson, C.A., Crisp, D.J. and Runham, N.W. (1979) Tidally deposited growth bands in the shell of the common cockle Cerastoderma edule (L.). Malacologia 18, 277290.Google Scholar
Roberts, D., Allcock, L., Fariñas Franco, J.M., Gorman, E., Maggs, C.A., Mahon, A.M., Smyth, D., Strain, E. and Wilson, C.D. (2011) Modiolus restoration research project: Final report and recommendations. Report to Department of Agriculture and Rural Development and North Ireland Environment Agency by Queen University Belfast.Google Scholar
Rowell, T.W. (1967) Some aspects of the ecology, growth and reproduction of the horse mussel Modiolus modiolus. MSc thesis. Queen's University, Ontario.Google Scholar
Sanderson, W.G., Hirst, N.E., Fariñas Franco, J.M., Grieve, R.C., Mair, J.M., Porter, J.S. and Stirling, D.A. (2014) North Cava Island and Karlsruhe horse mussel bed assessment. Scottish Natural Heritage Report 760, 85.Google Scholar
Sanderson, W.G., Holt, R.H.F., Ramsay, K., Perrins, J., McMath, A.J. and Rees, E.I.S. (2008) Small-scale variation within a Modiolus modiolus (Bivalvia) reef in the Irish Sea. II. Epifauna recorded by divers and cameras. Journal of the Marine Biological Association of the United Kingdom 88, 143149.Google Scholar
Sanford, E. and Kelly, M.W. (2011) Local adaptation in marine invertebrates. Annual Review of Marine Science 3, 509535.Google Scholar
Sato, S. (1994) Analysis of the relationship between growth and sexual maturation in Phacosoma japonicum (Bivalvia: Veneridae). Marine Biology 118, 663672.Google Scholar
Schweinitz, E.H. and Lutz, R.A. (1976) Larval development of the northern horse mussel, Modiolus modiolus (L.), including a comparison with the larvae of Mytilus edulis L. as an aid in planktonic identification. Biological Bulletin 150, 348360.Google Scholar
Seed, R. (1968) Factors influencing shell shape in the mussel Mytilus edulis. Journal of the Marine Biological Association of the United Kingdom 48, 561584.Google Scholar
Seed, R. (1980) Shell growth and form in the bivalvia. In Rhoads, D.C. and Lutz, R.A. (eds) Skeletal growth of aquatic organisms. New York, NY: Plenum Press, pp. 2361.Google Scholar
Seed, R. and Brown, R.A. (1977) A comparison of the reproductive cycles of Modiolus modiolus (L.), Cerastoderma (= Cardium) edule (L.), and Mytilus edulis L. in Strangford Lough, Northern Ireland. Oecologia 30, 173188.Google Scholar
Seidov, D., Baranova, O.K., Biddle, M., Boyer, T.P., Johnson, D.R., Mishonov, A.V., Paver, C. and Zweng, M. (2013) Greenland-Iceland-Norwegian Seas Regional Climatology, Regional Climatology Team, NOAA/NODC. http://dx.doi.org.10.7289/V5GT5K30.Google Scholar
Sokolova, I.M. (2013) Energy-limited tolerance to stress as a conceptual framework to integrate the effects of multiple stressors. Integrative and Comparative Biology 53, 597608.Google Scholar
Sokolova, I.M., Frederich, M., Bagwe, R., Lannig, G. and Sukhotin, A.A. (2012) Energy homeostasis as an integrative tool for assessing limits of environmental stress tolerance in aquatic invertebrates. Marine Environmental Research 79, 115.Google Scholar
Somero, G.N. (2010) The physiology of climate change: how potentials for acclimatization and genetic adaptation will determine “winners” and “losers”. Journal of Experimental Biology 213, 912–20.Google Scholar
Steffani, C.N. and Branch, G.M. (2003) Growth rate, condition, and shell shape of Mytilus galloprovincialis: responses to wave exposure. Marine Ecology Progress Series 246, 197209.Google Scholar
Strömgren, T. (1976) Growth rates of Modiolus modiolus (L.) and Cerastoderma edule (L.) (Bivalvia) during different light conditions. Sarsia 61, 4146.Google Scholar
Thomsen, J., Casties, I., Pansch, C., Körtzinger, A. and Melzner, F. (2013) Food availability outweighs ocean acidification effects in juvenile Mytilus edulis: laboratory and field experiments. Global Change Biology 19, 10171027.Google Scholar
Wiborg, F.K. (1946) Undersøkelser over oskellet (Modiolus modiolus (L.)), Fiskeridirektoratets Skrifter (ser. Havundsrsøkelser) 8, 85.Google Scholar
Wildish, D.J. and Peer, D. (1983) Tidal current speed and production of benthic macrofauna in the lower Bay of Fundy. Canadian Journal of Fisheries and Aquatic Sciences 40, 309321.Google Scholar
Zieritz, A. and Aldridge, D.C. (2009) Identification of ecophenotypic trends within three European freshwater mussel species (Bivalvia: Unionoida) using traditional and modern morphometric techniques. Biological Journal of the Linnean Society 98, 814825.Google Scholar
Figure 0

Fig. 1. Study sites: Scapa Flow (1), Port Appin (2) and North Lleyn (3) were sampled in the present study. The Humber Estuary (4), Irish Sea (5), Isle of Man (6), Strangford Lough (7), Isle of Mull (8) and Ling Bank (9) were sampled in the Anwar et al. (1990) study.

Figure 1

Fig. 2. Acetate peel of a 16-year-old M. modiolus specimen. White arrows indicate some of the dark winter bands in the younger half of the shell, laid down each year within the middle nacreous layer.

Figure 2

Fig. 3. Percentage size frequency (mm) of M. modiolus from Scapa Flow (N = 118), Port Appin (n = 218) and North Lleyn (n = 113). Numbers above bars indicate approximate age of size classes using the growth rates for each site.

Figure 3

Fig. 4. The relationship between length and height (A), length and width (B), and height and width (C) of M. modiolus from Scapa Flow (N = 110), Port Appin (N = 96) and North Lleyn (N = 95).

Figure 4

Fig. 5. An approximation of the shell shapes of M. modiolus of the same age from North Lleyn, Port Appin and Scapa Flow.

Figure 5

Fig. 6. Von Bertalanffy growth curves of the three M. modiolus populations analysed in this study: Scapa Flow, Port Appin and North Lleyn.

Figure 6

Table 1. L (mm) and K constant of the von Bertalanffy equation LI (t) = L (1-e-K (t-tθ)), from the three M. modiolus populations studied in this paper as well as the six populations studied by Anwar et al. (1990). Depths at which the samples were taken are included, as well as approximate flow rates (BERR, 2008).

Figure 7

Fig. 7. Relationship between the latitude and the L (mm) (A), and the chart surface flow and L (mm) (B), of the respective M. modiolus growth curves from each of the sites.