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Abundance, size and habitat relation of reef fish on biogenic structures (structure-forming invertebrates) at Anacapa Island, southern California

Published online by Cambridge University Press:  05 July 2010

Ilana Rosental Zalmon*
Affiliation:
Universidade Estadual do Norte Fluminense, Centro de Biociências e Biotecnologia, Avenida Alberto Lamego, 2000, 28013-602, Campos dos Goytacazes, RJ, Brazil
Merit McCrea
Affiliation:
Marine Science Institute, University of California, Santa Barbara, California, USA93106
Milton Stevens Love
Affiliation:
Marine Science Institute, University of California, Santa Barbara, California, USA93106
*
Correspondence should be addressed to: I.R. Zalmon, Universidade Estadual do Norte Fluminense, Centro de Biociências e Biotecnologia, Avenida Alberto Lamego, 2000, 28013-602, Campos dos Goytacazes RJ, Brazil email: ilana@uenf.br
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Abstract

A biogenic structure ecosystem of extensive worm tubes of Chaetopterus sp. harbouring different fish species was investigated at Anacapa Island, southern California to determine the numerical abundance, species composition, body size, and seasonality of the ichthyofauna associated, and their relation with the worm patch size. Bimonthly, a 30-m swimming transect and a quadrat-based survey estimated the length of each fish, the type of habitat it occupied, and the worm tube patch size-class. Larger worm mats harboured higher densities of fish, mainly the dominants Rhinogobiops nicholsii and Chaenopsis alepidota, which live inside the worm tube patches. Fish population density varied between the ‘inside’ and ‘edge’ of Chaetopterus beds as smaller and younger individuals were hindered from reaching the middle of the patch by larger, older and territorial individuals. The prevalence of positive and significant correlations between the abundance of smaller individuals of R. nicholsii and specific habitat features (e.g. edge) suggests that the abundance and distribution of juveniles might be habitat-dependent besides intraspecific competition between older and younger individuals. There was a decreasing density of R. nicholsii at greater than 20 cm away from worm tubes and there were no individuals beyond 6 m away from structure. Chaenopsis alepidota was not recorded when the patch size was less than 50% tube coverage. Our results revealed that complex habitat structure had a positive influence on the abundance of juvenile and adult of C. alepidota and R. nicholsii, and suggest that these structured areas are preferentially utilized, which contributes to its patchy distribution pattern. The presence of biological structures in low-relief sedimentary habitats can have critical functional significance even for reef fish. These important habitat features may need to be identified and protected.

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

INTRODUCTION

Many of the fish communities of the Southern California Bight have been well studied. This is particularly true of shallow rocky reefs and sediment sea floors (Horn, Reference Horn1980; Allen, Reference Allen1985). However, with the exception of some plant beds (such as that of giant kelp Macrocystis pyrifera) the fish assemblages of biogenic structures are poorly known.

Sand-dwelling polychaete worms of the genus Chaetopterus produce calcareous tubes that are a conspicuous feature of shallow water southern California sand flats. Densities of worms on these biogenic reefs can reach several hundred individuals per m2 (Zühlke, Reference Zühlke2001; Shucksmith et al., Reference Shucksmith, Hinz, Bergmann and Kaiser2006). It is known that sediments around animal tubes can have greater abundances of bacteria (Eckman, Reference Eckman1985), diatoms (Sanders, Reference Sanders1962), meiofauna (Eckman, Reference Eckman1983) and macrofauna (Woodin, Reference Woodin1978) than surrounding sediments lacking structures. Since the biota associated with tubes can alter sediment stability, the effects include both the direct hydrodynamic consequences of flow alterations and the indirect effects of biogenic changes (Luckenbach, Reference Luckenbach1986). Research in other parts of the world (Van Dolah et al., Reference Van Dolah, Wendt and Nicholson1987; Zühlke, Reference Zühlke2001; Thrush et al., Reference Thrush, Schultz, Hewitt and Talley2002) indicates that these biogenic structures represent ecological islands hosting a different and often more diverse and abundant community than surrounding sandflats and hence contribute to a patchy distribution pattern of the benthic community. Understanding the role of habitat structure for fish on the continental shelf is important because the physical structures created by sessile invertebrates and sediment surface features can be impacted by fishing gear and other human activities (Collie et al., Reference Collie, Escanero and Valentine1997; Freese et al., Reference Freese, Auster, Heifetz and Wing1999; Kaiser et al., Reference Kaiser, Cheney, Spence, Edwards and Radford1999; McConnaughey & Smith, Reference McConnaughey and Smith2000; Stoner & Tigten, Reference Stoner and Titgen2003). However, despite their potential importance to some fish species, no research off the Pacific coast has been done on the fish assemblages of the worm tube structure.

Casual observations made while SCUBA diving around Anacapa Island, located in the north-western part of the Southern California Bight, demonstrated that the island's shallow sandy fringe is surrounded by kelp beds, sandy habitat and a biogenic structure ecosystem of extensive worm tubes (Chaetopterus sp.) harbouring different fish species. These fish rest near or hide inside these biological structures and are well camouflaged; when disturbed, they retreat into local hiding places. Structurally complex benthic habitats have been demonstrated to alleviate predation risk for a wide variety of organisms in diverse systems, providing shelter and also abundant food resources for small fish (Ryer, Reference Ryer1988; Stoner & Titgen, Reference Stoner and Titgen2003; Ryer et al., Reference Ryer, Stoner and Titgen2004). Chaetopterus qualifies as an ‘ecosystem engineer’ in that it changes and/or creates a habitat, which affects other organisms (Jones et al., Reference Jones, Lawton and Shackak1997). It is not clear if some of these species depend on this ecosystem (e.g. food, shelter and/or nursery grounds), and how related they are to the patchiness of this enriching biogenic feature. In many cases, the survivorship of juvenile fish is higher in structurally complex habitats, although results vary with different habitats levels of complexity, and behavioural interactions between species (Bradshaw et al., Reference Bradshaw, Collins and Brand2003).

This study represents the first attempt to determine the: (1) numerical abundance; (2) species composition; (3) body size; and (4) seasonality of the ichthyofauna associated with Chaetopterus worm beds of the north-east Pacific, and their relation with the worm patch size. In this study we tested the prediction that across Chaetopterus beds there would be a positive relationship between habitat structure and fish abundance, and that this relationship resulted from different aspects of the habitat structure.

MATERIALS AND METHODS

Study area

Anacapa is the eastern-most island of the northern Channel Islands and is located at approximately 34o00′N and 119o25′W, 19 km from the southern California mainland in the Southern California Bight (SCB). Anacapa Island is about 8 km long and is formed of three small islets (Figure 1). Waters in the SCB originate both from the California Current and northwards-flowing currents of subtropical origin. Seasonal warming of water in the Bight is from atmospheric heating (Brink & Muench, Reference Brink and Muench1986; Hickey, Reference Hickey1992). Circulation within the Santa Barbara Channel (SBC) is highly variable in time and space and is determined by the relative strengths of wind stress and a deep-water pressure gradient through the channel (Harms & Winant, Reference Harms and Winant1998; Washburn et al., Reference Washburn, Emery, Paduan, Browne, Mitchell and Chaney1999). Generally, warm water from the Southern California Bight enters the SBC's east entrance and flows westward along the channel's northern boundary, and cool water flows through the southern portion of the west entrance then eastward along the islands. Compared to the three islands to the west, waters around Anacapa are relatively warm and less saline, particularly during summer months (Nishimoto, Reference Nishimoto, Browne, Mitchell and Chaney2000; Blanchette et al., Reference Blanchette, Broitman and Gaines2006).

Fig. 1. Map of Channel Islands (Santa Barbara Channel) showing Anacapa Island and the study site.

The survey was conducted on the north side of east Anacapa Island on a biogenic structure ecosystem of worm tubes (Chaetopterus sp.) scattered in 12–15 m of water on a sand bottom. The surveys lay within the Anacapa Island State Marine Conservation Area, where fishing (except for pelagic fish and lobsters) is prohibited.

Field Sampling

Fish surveys were conducted at approximately two-month (bimonthly) intervals from September 2007 to July 2008 by two of us (I.R.Z. and M.M.).

Upon arrival at the survey site, an anchor was dropped and the divers swam down the anchor line. The first transect was conducted (beginning about 1 m from the anchor) in a northerly direction that went into deeper waters. In the first of two surveys, a diver (about 1 m above the sea floor) swam along a 30-m transect (laying out a measuring tape as he swam). All of the fish seen within 1 m on either side of the diver were identified, and thus the transect area was 60 m2. We estimated the length of each fish and noted what type of habitat it occupied. We delineated three habitat types: (1) worm tubes; (2) sand; and (3) tube edge. Tube edge was defined as a worm tube within 20 cm of sand. A second diver followed the first and conducted a quadrat-based survey. In this survey, a 1m2 PVC quadrat was placed every 4 m along the tape laid out by the first diver, and thus the quadrat sampled area was 7 m2. The second diver then waited a few minutes and returned to the first deployed quadrat and identified and estimated the length of each fish observed. This diver also estimated what fraction of the quadrat was occupied by worm tubes (WT) on a scale of 0%, 25%, 50%, 75% and 100% WT, which corresponded to the worm tube patch size-class. This dual approach ensured that species more likely to swim away due to an observer were the first ones to be counted and allowed for more precise density estimations of all species (Aburto-Oropeza & Balart, Reference Arbuto-Oropeza and Balart2001; Floeter et al., Reference Floeter, Krohling, Gasparini, Ferreira and Zalmon2007). This process was then repeated in both a westerly direction (along the depth contour) and a southerly direction.

Data analyses

We normalized for the area counted so as not to be misleading between the methods. We used a fixed-factor one-way analysis of variance (ANOVA) and tested for: (1) among-month differences; (2) among-WT patch size differences by quadrat sampling technique; and (3) among-habitat type by swimming sampling technique in mean density and size structure of the most abundant fish species sampled during the one-year study. The fish density of variable length-class across WT patch sizes, habitat type and between months was examined for each species with a 2-factor ANOVA. The transformed fish density was the dependent variable, with month, WT patch size and habitat type as independent variables. Significant effects (P < 0.05) were examined using Tukey's HSD post hoc multiple-comparison test. Whether WT patch size correlated with fish density and fish length, and with the fish density of each length was tested with Pearson's product-moment correlation coefficient. When necessary, density data were transformed (log x + 1) to stabilize variances and meet normality and heterogeneity assumptions (Underwood, Reference Underwood1997; Zar, Reference Zar1999).

ANOVA and product-moment correlation tests were performed with GraphPad Instat3.

RESULTS

A total number of 7 species and 290.11 fish/m2 were sampled at Anacapa Island from August 2007 to July 2008 (N = 8 sample dates) through swimming and quadrat sampling techniques, 41.26 and 248.85 fish/m2, respectively (Table 1). The quadrat technique sampled a higher number of individuals including the dominant species Rhinogobiops nicholsii (blackeye goby) and Chaenopsis alepidota (orangethroat pikeblenny), which lives inside the worm tube patches.

Table 1. Sampled species, density, size-range, habitat related to the worm tube patch (E, edge; M, middle; S, sand) and occurrence months through each sampling technique.

Quadrat sampling technique

Four species were sampled by the quadrat technique: Rhinogobiops nicholsii, Chaenopsis alepidota, Citharichthys stigmaeus (speckled sanddab) and Heterodontus francisci (horn shark) (Table 1). The two most abundant species R. nicholsii and C. alepidota, were analysed for among-WT patch size and among-month differences in mean density/m2 and size structure during the one-year period study.

Chaenopsis alepidota showed a significantly higher number of individuals (>60%) on larger patch size on all studied months (Figure 2; Table 2). Throughout the study, all sizes of C. alepidota were observed preferentially on larger patches with significantly higher numbers of the larger ones on 100% and 75% WT. Smaller individuals were significantly more abundant on >50% WT in August 2007, November 2007 and January 2008 (Table 2). In March 2008 all the patch sizes were smaller than 50% WT and the sampled individuals were the larger fish (Figure 2). In August 2007, November 2007, January 2008 and July 2008, the number of smaller individuals was higher than the larger ones, while in March, April, May and June 2008 the number of the larger individuals was higher (Figure 2).

Fig. 2. Average number of individuals/m2 and standard deviation of Chaenopsis alepidota of each size-class and worm tube patch size sampled by the quadrat technique on every studied month (N = 6 transects/month).

Table 2. ANOVA and Tukey's HSD post hoc multiple-comparison results among-worm tube (WT) patch size differences in total mean density and size structure of Chaenopsis alepidota (smaller and bigger length-class) on each studied month, among-month differences and with all studied months by quadrat sampling technique.

Significant temporal differences among months occurred on total mean density and on smaller length-class density of Chaenopsis alepidota with the lowest values in March 2008 and April 2008 (Table 2). The highest mean densities occurred in August 2007 and November 2007 and then decreased in January 2008 followed by March and April 2008 with less than 0.86 inds/m2 (Table 2). From May 2008 on, the densities of C. alepidota increased again with higher values, mainly on 100% and 75% WT. The smaller patch sizes (<50% WT) showed a lower temporal variation. Considering all studied months, fish density differences among-WT patch sizes revealed significant higher numbers on 100% and 75% WT for total mean density and for bigger length-class individuals (Table 2).

The WT patch size showed a very significant and positive correlation with the total mean fish density, with the fish density of each length-class, and with the fish length of each individual on almost all studied months except March 2008, and also with all months together (N = 31.14 inds/m2) (Table 3). All sizes of Chaenopsis alepidota individuals preferred larger worm tube patches.

Table 3. Pearson's product-moment correlation coefficient between worm tube (WT) patch size with Chaenopsis alepidota total average density and with the density of each length-class, and with individual length-class by quadrat sampling technique on each studied month and altogether. Density data were log x +1 transformed.

Throughout the study, densities of Rhinogobiops nicholsii were highest on larger WT patch sizes (Figure 3), with significantly lower densities mainly on 0% and 25% WT (Table 4). In March 2008, the patch sizes were all smaller than 50% WT and there were higher densities of larger individuals on 50% WT and of smaller ones on 25% WT (Figure 3). Larger individuals were present in significantly higher numbers primarily on 100–75% WT, while smaller fish were equally present on both the largest and intermediate sized patches (Table 4).

Fig. 3. Average number of individuals/m2 and standard deviation of Rhinogobiops nicholsii of each size-class and worm tube patch size sampled by the quadrat technique on every studied month (N = 6 transects/month).

Table 4. ANOVA and Tukey's HSD post hoc multiple-comparison results among-worm tube (WT) patch size differences in total mean density and size structure of Rhinogobiops nicholsii (large versus small size-class) in each month, among-month differences, and with all studied months by quadrat sampling technique.

Considering all studied months, fish density differences among-WT patch sizes revealed significantly higher numbers on 100%, 75% and 50% WT for total mean density and for larger length-class individual number, while the smaller ones did not differ among worm tube patch sizes (Table 4).

Total mean density of R. nicholsii was positively correlated to WT patch size (Table 5). Larger individuals preferred larger patches. The negative and the non-significant correlation values of the WT patch sizes with the smaller individuals showed their preference for 50% and 25% WT patch sizes (Table 5).

Table 5. Pearson's product-moment correlation coefficient between worm tube (WT) patch size with Rhinogobiops nicholsii total average density and with the density of each length-class, and with individual length-class by quadrat sampling technique on each studied month and altogether. Density data were log x +1 transformed.

Swimming Sampling Technique

Seven species were observed in the swimming technique survey (Table 1). The dominant species, R. nicholsii, demonstrated a significantly higher number of individuals (60–95%) on the edge habitat than on the middle of the worm tube patches or on the nearby sand (Figure 4; Table 6). All sizes of individuals preferred the edge habitat, but larger fish showed consistently significant higher differences between the habitats (Table 6). In most months, larger fish tended to inhabit patch edge and middle, and smaller fish were found on the surrounding sand (Figure 4). Considering all studied months, fish density differences among-habitat type revealed significant higher numbers on the edge for total mean density and both length-class individual numbers (Table 6).

Fig. 4. Average number of individuals/m2 and standard deviation of Rhinogobiops nicholsii of each size-class and habitat type (ED, edge; MD. middle; SD, sand) related to the worm tube patches sampled by the swimming technique on every studied month (N = 6 transects/month).

Table 6. ANOVA and Tukey's HSD post hoc multiple-comparison results among-habitat type differences in total mean density and size structure of Rhinogobiops nicholsii (smaller and bigger length-class) on each studied month, among-month differences and with all studied months by swimming sampling technique (ED, edge; MD, middle, SD, sand).

The edge and middle habitats showed a positive and significant (P < 0.05) correlation with the total mean fish density (r = 0.52, r = 0.54, respectively), while the sand habitat fraction was negatively correlated (r = –0.32) (Figure 5). Relatively few R. nicholsii were present more than 20 cm away from worm tubes and none were seen beyond 6 m (Figure 5).

Fig. 5. Average individual number/m2 and standard deviation of Rhinogobiops nicholsii on the sampled transect fraction of each habitat type related to the worm tube patches by swimming sampling technique on all studied months (N = 6 transects/month).

DISCUSSION

In this study we tested the prediction that fish median density and size varied with the worm tube (WT) patch size and were different between WT patch habitat, edge habitat and sand habitat. In general, larger worm mats harboured higher densities of fish, although there were some intraspecific differences. For example, while larger Chaenopsis were almost absent from small mats, smaller individuals could still be found. The occurrence of smaller size fish on habitat of lower prey resource value might be related to intraspecific competition with the larger individuals occupying prime feeding or sheltering habitats.

The abundance of R. nicholsii was also significantly higher with high coverage of habitat (defined as WT patch size) but only for larger individuals. According to Steele (Reference Steele1997) and Andrews & Anderson (Reference Andrews and Anderson2004), recruitment of the blackeye goby increases with the amount of habitat in the form of rocky substratum at a small scale and our results generally do not support these previous works, considering the Chaetopterus beds as small units of complex reefs. It was observed that the blackeye goby had similarly higher densities of smaller individuals in habitat with both intermediate and high coverage of Chaetopterus tube habitat. This may indicate that there is no further advantage conveyed by greater amounts of habitat, but might depend on the magnitude of recruitment.

Rhinogobiops nicholsii is a small (<100 mm standard length (SL)) reef fish that is common along the Pacific coast of North America (Miller & Lea, Reference Miller and Lea1972). The species is territorial, but territories overlap, the greatest overlap occurring between individuals that differ considerably in size (Cole, Reference Cole1984). The fish population density of R. nicholsii differed significantly between worm tube patch, edge and sand habitat. Although all size-classes preferred the edge habitat on the Chaetopterus bed, in general, larger individuals occupied this habitat. According to Cole (Reference Cole1982) and Breitburg (Reference Breitburg1987), social organization and territory size is based upon dominance relationships that are determined largely by body size. Population density varied between the ‘inside’ and ‘edge’ of Chaetopterus beds, where the smaller (<5 cm SL) and younger individuals were hindered in reaching the middle of the patch by larger, older individuals that maintained the territories.

The distribution and abundance of organisms depends to some extent on spatial variation in the physical structure of the available habitat (Bell et al., Reference Bell, McCoy and Mushinsky1991; Rotenberry & Wiens, 1998). Habitat structure is important in predicting the abundance and distribution of many taxa. Such relationships are particularly evident in the early life stage of reef fish in that recently settled individuals often appear to select complex habitats (Roberts & Ormond, Reference Roberts and Ormond1987; Tupper & Boutilier, Reference Tupper and Boutilier1997). At Anacapa Island the prevalence of positive and significant correlations between the abundance of smaller individuals of the dominant species R. nicholsii and specific habitat features (e.g. edge) suggests that the abundance and distribution of juveniles might be habitat-dependent (Carr, Reference Carr1991, Reference Carr1994; Levin, Reference Levin1991; Tolimieri, Reference Tolimieri1995; Steele, Reference Steele1999; Holbrook et al., Reference Holbrook, Forrester and Schmitt2000). Sources of variation in recruitment can be modified by particular habitat features. It is largely unknown whether recruitment of reef fish differs substantially between the edge and the inside of reefs; however, juvenile señorita Oxyjulis californica have been found at higher densities on the ecotone of artificial reefs (Anderson et al., Reference Anderson, DeMartini and Roberts1989) and the recruitment of some rockfish occur at the edges of rocky reefs (Carr, Reference Carr1991). At the scale of individual reefs, the ‘edge’ and the ‘inside’ of a reef may affect the abundance of reef fish populations differently, analogous to the effect of the habitat fragmentation in many terrestrial populations (Temple, Reference Temple, Verner, Morisson and Ralph1986; Paton, Reference Paton1994; Tewksbury et al., Reference Tewksbury, Heil and Martin1998). The effects of ecotone are topical because of increased interest in habitat fragmentation and in how variability in the perimeter-to-area ratio may affect the demography of populations (Temple, Reference Temple, Verner, Morisson and Ralph1986; Paton, Reference Paton1994; Tewksbury et al., Reference Tewksbury, Heil and Martin1998; Hovel & Lipcius, Reference Hovel and Lipcius2001). The distribution of newly settled fish among different types of habitats within a reef may result from food availability (Levin et al., Reference Levin, Petrik and Malone1997) and the distribution of predators (Hixon, Reference Hixon and Sale1991). It is important to add intraspecific competition between older and younger individuals of R. nicholsii, as observed here.

Affinity for structured habitat in the field could be also related to availability of foods. Chaenopsis and Rhinogobiops consume primarily motile crustaceans such as mysids, amphipods, cumaceans and small shrimps (Kotrschal & Thomson, Reference Kotrschal and Thomson1986). Small crustaceans such as these are often most abundant in structurally complex habitats (Orth et al., Reference Orth, Heck and Van Montfrans1984; Bostroem & Mattila, Reference Bostroem and Mattila1999). While there were no food cues in our study, fish may choose habitats that typically carry large numbers of appropriate prey.

Describing fish–habitat relationships and understanding the underlying mechanisms is complicated by ontogenetic changes in habitat requirements and the spatial scales over which mobile individuals integrate habitats (Thrush et al., Reference Thrush, Schultz, Hewitt and Talley2002). As a first step to identifying the relationship between benthic habitat and fish, we aim to determine the importance of habitat structure in influencing the fish abundance. By determining the relationship between the fish abundance and the small-scale elements of habitat structure, we can identify the need for future work to elucidate mechanisms as well as providing information to resource managers on the importance of habitat diversity for different life stages of exploited and non-exploited populations.

Emergent structures may play an important role in the ecology of some juvenile flatfish and it is suggested that the removal of these biological structures by towed fishing gear and other anthropogenic and/or natural disturbance may influence their distribution patterns as fish redistribute to less preferred habitat (Stoner & Tigten, Reference Stoner and Titgen2003; Ryer et al., Reference Ryer, Stoner and Titgen2004). Biogenic structures contribute to marine habitat complexity by increasing the three-dimensional relief of seabed topography (Peatlle & Hoare, 1981). Dredging and other types of bottom fishing reduces habitat complexity by impacting sessile epifauna species, and by extension their associated organisms (Auster, Reference Auster1998; Jennings & Kaiser, Reference Jennings and Kaiser1998; Kaiser et al., Reference Kaiser, Collie, Hall and Poiner2002; Bradshaw et al., Reference Bradshaw, Collins and Brand2003). The implications of this disturbance could be a decrease of biodiversity and/or species abundance (including commercial species) by removing upright epifauna (Bradshaw et al., Reference Bradshaw, Collins and Brand2003). Our results revealed that complex habitat structure had a positive influence on the abundance of juvenile and adult C. alepidota and R. nicholsii, and suggest that these structured areas are preferentially utilized. This finding highlights the potential for disturbance of such structures (by, for example, trawling or dredging) to affect the abundance of those fish. Small changes in habitat complexity can have significant effects on survivorship.

Rhinogobiops nicholsii seldom ventured more than about 0.5 m away from rocky substrate because they use associated crevices and excavated burrows to hide from predators. At Anacapa Island, there was a sharp drop in density of R. nicholsii at greater than 20 cm away from worm tubes, and no R. nicholsii beyond 6 m away from structure. Chaenopsis alepidota, that inhabits Chaetopterus tubes in quiet sand flats (Stephens et al., Reference Stephens, Singer and Targgart1989), was not recorded at Anacapa Island when the patch size was less than 50% tube coverage.

The tubiculous, suspension feeding polychaete, Chaetopterus cf. variopedatus of southern Chesapeake Bay, Virginia recruits in the summer and grows rapidly (Thompson & Schaffner, Reference Thompson and Schaeffner2001), while Florida populations of reef-building tube worms may spawn semi-continuously, without a seasonal trend, throughout most of the year (Zale & Merrifield, Reference Zale and Merrifield1989). At Anacapa Island, we anchored in nearly the same spot each sampling time and there was a clear seasonal trend in tube coverage, with more worm tubes in summer/autumn than winter/spring. Chaenopsis alepidota and R. nicholsii density followed this temporal trend with higher values during summer and lowest ones in winter and this pattern remained consistent among different tube coverage. The results further demonstrate that temporal variation in population dynamics might lead to significant temporal variability in the relative importance of benthic suspension feeder effects for ecosystem function (Thompson & Schaffner, Reference Thompson and Schaeffner2001).

This study demonstrates a high degree of association between two reef fish and Chaetopterus beds. At the small scales studied (i.e. centimetres to metres) positive associations were more common than negative ones. These biogenic habitat structures represent ecological islands hosting a different and often more diverse and abundant community than surrounding sandflats. Reef fish richness and abundance of the two most abundant species C. alepidota and R. nicholsii were higher among tube aggregations with more than 25% of WT patch coverage. All sizes of C. alepidota and the largest R. nicholsii individuals preferred heavier WT patch sizes (>75% WT), while the smaller R. nicholsii preferred smaller patches (<50% WT). Hence, it is concluded that Chaetopterus tubes act as a habitat engineer that alters the composition and abundance of some reef fish species and contributes to its patchy distribution pattern. The study supports an accumulating body of evidence that emergent structure, in otherwise low-relief benthic habitats, may play an important role in the ecology of some reef fish species.

We suggest that Chaetopterus beds can be thought of as a keystone species (sensu Dame, 1996 in Thompson & Schaffner, Reference Thompson and Schaeffner2001) and should be included in future studies or models of the Channel Islands. The importance of benthic habitats is now being taken in account in recent conservation and fisheries legislation in the United States, where areas of ‘essential fish habitats’ must now be identified and protected (Bradshaw et al., Reference Bradshaw, Collins and Brand2003).

Links between habitat structure and growth, survivorship and recruitment of fish to fisheries need to be explored. However, our study on habitat preference makes it clear that the presence of biological structures in low-relief sedimentary habitats can have critical functional significance even for reef fish. These important habitat features may need to be identified and protected.

ACKNOWLEDGEMENT

Thanks to the Brazilian agency CAPES for the post-doctoral financial support to I.R.Z. (grant number CAPES 0732/07-9).

References

REFERENCES

Allen, L.G. (1985) A habitat analysis of the nearshore marine fishes from Southern California. Bulletin of the Southern California Academy of Science 84, 133155.Google Scholar
Anderson, T.W., DeMartini, E.E. and Roberts, D.A. (1989) The relationship between habitat structure, body size and distribution of fishes at a temperate artificial reef. Bulletin of Marine Science 44, 681697.Google Scholar
Andrews, K.S. and Anderson, T.W. (2004) Habitat-dependent recruitment of two temperate reef fishes at multiple spatial scales. Marine Ecology Progress Series 277, 231244.CrossRefGoogle Scholar
Arbuto-Oropeza, O. and Balart, E. (2001) Community structure of reef fish in several habitats on a rocky reef in the Gulf of California. Marine Ecology 22, 283305.Google Scholar
Auster, P.J. (1998) A conceptual model of the impacts of fishing gear on the integrity of fish habitats. Conservation Biology 12, 11981203.CrossRefGoogle Scholar
Bell, S.S., McCoy, E.D. and Mushinsky, H.R. (1991) Habitat structure: the physical arrangements of objects in space. London: Chapman & Hall.CrossRefGoogle Scholar
Blanchette, C.A., Broitman, B.R. and Gaines, S.D. (2006) Intertidal community structure and oceanographic patterns around Santa Cruz Island, CA. Marine Biology 149, 689701.CrossRefGoogle Scholar
Bostroem, C. and Mattila, J. (1999) The relative importance of food and shelter for seagrass-associated invertebrates: a latitudinal comparison of habitat choice by isopod grazers. Oecologia 120, 162170.Google Scholar
Bradshaw, C., Collins, P. and Brand, A.R. (2003) To what extent does upright sessile epifauna affect benthic biodiversity and community composition? Marine Biology 143, 783791.CrossRefGoogle Scholar
Breitburg, D.L. (1987) Interspecific competition and the abundance of nest sites: factors affecting sexual selection. Ecology 68, 18441855.CrossRefGoogle ScholarPubMed
Brink, K.H. and Muench, R.D. (1986) Circulation in the Point Conception–Santa Barbara Channel region. Journal of Geophysical Research 98, 877895.CrossRefGoogle Scholar
Carr, M.H. (1991) Habitat selection and recruitment of an assemblage of temperate zone reef fishes. Journal of Experimental Marine Biology and Ecology 146, 113137.CrossRefGoogle Scholar
Carr, M.H. (1994) Effects of macroalgal dynamics on recruitment of a temperate reef fish. Ecology 75, 13201333.CrossRefGoogle Scholar
Cole, K.S. (1982) Male reproductive behaviour and spawning success in a temperate zone goby, Coryphopterus nicholsi. Canadian Journal of Zoology 60, 23092316.CrossRefGoogle Scholar
Cole, K.S. (1984) Social spacing in the temperate marine goby Coryphopterus nicholsi. Marine Biology 80, 307314.CrossRefGoogle Scholar
Collie, J.S., Escanero, G.A. and Valentine, P.C. (1997) Effects of bottom fishing on the benthic megafauna of George Banks. Marine Ecology Progress Series 155, 159172.CrossRefGoogle Scholar
Eckman, J.E. (1983) Hydrodynamics processes affecting benthic recruitment. Limnology and Oceanography 28, 241257.CrossRefGoogle Scholar
Eckman, J.E. (1985) Flow disruption by an animal-tube mimics affects of sediment bacterial colonization. Journal of Marine Research 43, 419435.CrossRefGoogle Scholar
Floeter, S.R., Krohling, W., Gasparini, J.L., Ferreira, C.E.L. and Zalmon, I.R. (2007) Reef fish community structure on coastal islands of the southeastern Brazil: the influence of exposure and benthic cover. Environmental Biology of Fishes 78, 147160.CrossRefGoogle Scholar
Freese, L., Auster, P.J., Heifetz, J. and Wing, B.L. (1999) Effects of trawling on seafloor habitat and associated invertebrate taxa in the Gulf of Alaska. Marine Ecology Progress Series 182, 119126.CrossRefGoogle Scholar
Harms, S. and Winant, C.D. (1998) Characteristic patterns of the circulation in the Santa Barbara Channel. Journal of Geophysical Research 103, 30413065.CrossRefGoogle Scholar
Hickey, B.M. (1992) Circulation over the Santa Monica–San Pedro basin and shelf. Progress in Oceanography 30, 37115.CrossRefGoogle Scholar
Hixon, M.A. (1991) Predation as a process structuring coral reef fish communities. In Sale, P.F. (ed.) The ecology of fishes on coral reefs. San Diego: Academic Press, pp. 475508.CrossRefGoogle Scholar
Holbrook, S.J., Forrester, G.E. and Schmitt, R.J. (2000) Spatial patterns in abundance of a damselfish reflects availability of suitable habitat. Oecologia 122, 109120.CrossRefGoogle ScholarPubMed
Horn, M.H. (1980) Diversity and ecological roles of noncommercial fishes in California marine habitats. California Cooperative Oceanic Fisheries Investigation Reports 2, 3747.Google Scholar
Hovel, K.A. and Lipcius, R.N. (2001) Habitat fragmentation on a seagrass landscape: match size and complexity control blue crab survival. Ecology 82, 18141829.CrossRefGoogle Scholar
Jennings, S. and Kaiser, M.J. (1998) The effects of fishing on marine ecosystems. Advances in Marine Biology 34, 231352.Google Scholar
Jones, C.G., Lawton, J.H. and Shackak, M. (1997) Positive and negative effects of organisms as physical ecosystem engineers. Ecology 78, 19461957.CrossRefGoogle Scholar
Kaiser, M.J., Cheney, K., Spence, F.E., Edwards, D.B. and Radford, K. (1999) Fishing effect in northeast Atlantic shelf seas: patterns in fishing effort, diversity and community structure. VII. The effects of trawling disturbance on the fauna associated with the tubeheads of serpulid worms. Fisheries Research 40, 195205.CrossRefGoogle Scholar
Kaiser, M.J., Collie, J.S., Hall, S.J. and Poiner, I.R. (2002) Modifications of marine habitats by trawling activities: prognosis and solutions. Fish and Fisheries 3, 114136.CrossRefGoogle Scholar
Kotrschal, K. and Thomson, D.A. (1986) Feeding patterns in eastern tropical Pacific blennioid fishes (Teleostei: Triterygiidae, Labrisomidae, Chaenopsidae, Blenniidae). Oecologia 70, 367378.CrossRefGoogle ScholarPubMed
Levin, P.S. (1991) Effects of microhabitat on recruitment variation in a temperate reef fish. Marine Ecology Progress Series 75, 183189.CrossRefGoogle Scholar
Levin, P.S., Petrik, R. and Malone, J. (1997) Interactive effects of habitat selection, food supply and predation on recruitment of an estuarine fish. Oecologia 112, 5563.CrossRefGoogle ScholarPubMed
Luckenbach, M.W. (1986) Sediment stability around animal tubes: the role of hydrodynamic processes and biotic activity. Limnology and Oceanography 31, 779787.CrossRefGoogle Scholar
McConnaughey, R.A. and Smith, K.R. (2000) Associations between flatfish abundance superficial sediments in the eastern Bering Sea. Canadian Journal of Fishery and Aquatic Science 57, 24102419.CrossRefGoogle Scholar
Miller, D.J. and Lea, R.N. (1972) Guide to the coastal marine fishes of California. Fish Bulletin of California 157, 1168.Google Scholar
Nishimoto, M.M. (2000) Distributions of late-larval and pelagic juvenile rockfishes in relation to water masses around the Santa Barbara Channel Islands in early summer, 1996. In Browne, D.R., Mitchell, K.L. and Chaney, H.W. (eds) Proceedings of the Fifth California Islands Symposium, US Minerals Management Service and Santa Barbara Museum of Natural History, March 29–April 1 1999. OCS Study MMS 99-0038, pp. 483491.Google Scholar
Orth, R.J., Heck, Jr K.L. and Van Montfrans, J. (1984) Faunal communities in seagrass beds: a review of the influence of plant structure and prey characteristics on predator–prey relationships. Estuaries 7, 339350.CrossRefGoogle Scholar
Paton, P.W.C. (1994) The effect of edge on avian nest success: how strong is the evidence? Conservation Biology 8, 1726.CrossRefGoogle Scholar
Roberts, C.M. and Ormond, R.F.G. (1987) Habitat complexity and coral reef fish diversity and abundance on Red Sea fringing reefs. Marine Ecology Progress Series 41, 18.CrossRefGoogle Scholar
Ryer, C.H. (1988) Pipefish foraging: effects of fish size, prey size and altered habitat complexity. Marine Ecology Progress Series 48, 3745.CrossRefGoogle Scholar
Ryer, C.H., Stoner, A.W. and Titgen, R.H. (2004) Behavioral mechanisms underlying the refuge value of benthic habitat structure for two flatfishes with differing anti-predator strategies. Marine Ecology Progress Series 268, 231243.CrossRefGoogle Scholar
Sanders, H.L (1962) Benthic studies in Buzzards Bay. 1. Animal sediment relationships. Limnology and Oceanography 3, 245258.CrossRefGoogle Scholar
Shucksmith, R., Hinz, H., Bergmann, M. and Kaiser, M.J. (2006) Evaluation of habitat use by adult plaice (Pleuronectes platessa L.) using underwater video survey techniques. Journal of Sea Research 56, 317328.CrossRefGoogle Scholar
Steele, M.A. (1997) The relative importance of processes affecting recruitment of two temperate reef fishes. Ecology 78, 129145.CrossRefGoogle Scholar
Steele, M.A. (1999) Effects of shelter and predators on reef fish. Journal of Experimental Marine Biology and Ecology 233, 6579.CrossRefGoogle Scholar
Stephens, J.S., Singer, M. and Targgart, L. (1989) Notes on the first record of the orangethroat pikeblenny, Chaenopsis alepidota (Gilbert), in mainland California. California Fish and Game 75, 80183.Google Scholar
Stoner, A.W. and Titgen, R.H. (2003) Biological structures and bottom type influence habitat choices made by Alaska flatfishes. Journal of Experimental Marine Biology and Ecology 292, 4359.CrossRefGoogle Scholar
Temple, S.A. (1986) Predicting impacts of habitat fragmentation on forest birds: a comparison of two models. In Verner, J., Morisson, M.L. and Ralph, C.J. (eds) Wildlife 2000: modeling habitat relationships of terrestrial vertebrates. Madison: University of Wisconsin Press, pp. 301304.Google Scholar
Tewksbury, J.J., Heil, S.J. and Martin, T.E. (1998) Breeding productivity does not decline with increasing fragmentation in a western landscape. Ecology 79, 28902903.CrossRefGoogle Scholar
Thompson, M.L. and Schaeffner, L.C. (2001) Population biology and secondary production of the suspension feeding polychaete Chaetopterus cf. variopedatus: implications for benthic–pelagic coupling in lower Chesapeake Bay. Limnology and Oceanography 46, 18991907.CrossRefGoogle Scholar
Thrush, S.F., Schultz, D., Hewitt, J.E. and Talley, D. (2002) Habitat structure in soft-sediment environments and abundance of juvenile snapper Pagrus auratus. Marine Ecology Progress Series 245, 273280.CrossRefGoogle Scholar
Tolimieri, N. (1995) Effects of microhabitat characteristics on the settlement and recruitment of a coral reef fish at two spatial scales. Oecologia 102, 5263.CrossRefGoogle ScholarPubMed
Tupper, M. and Boutilier, R.G. (1997) Effects of habitat on settlement, growth, predation risk and survival of a temperate reef fish. Marine Ecology Progress Series 277: 231244.Google Scholar
Underwood, A.J. (1997) Experiments in ecology: their logical design and interpretation using analysis of variance. Cambridge: Cambridge University Press.Google Scholar
Van Dolah, R.F., Wendt, R.H. and Nicholson, N. (1987) Effects of a research trawl on a hard-bottom assemblage of sponges and coral. Fishery Research 5, 3954.CrossRefGoogle Scholar
Washburn, L., Emery, B. and Paduan, J. (1999) The surface circulation of the Santa Barbara Channel observed with high frequency radar. In Browne, D.R., Mitchell, K.L. and Chaney, H.W. (eds) Proceedings of the Fifth California Islands Symposium, US Minerals Management Service and Santa Barbara Museum of Natural History, March 29–April 1, 1999. OCS Study MMS 99-0038, pp. 3438.Google Scholar
Woodin, S.A. (1978) Refuges, disturbance, and community structure: a marine soft-bottom example. Ecology 59, 274284.CrossRefGoogle Scholar
Zale, A.V. and Merrifield, S.G. (1989) Species profiles: life histories and environmental requirements of coastal fishes and invertebrates (South Florida)—red-building tube worm. US Fish and Wildlife Service Biological Bulletin 82, 112.Google Scholar
Zar, J.H. (1999) Biostatistical analysis, 4th edition.Upper Saddle River, NJ: Prentice Hall.Google Scholar
Zühlke, R. (2001) Polychaete tubes create ephemeral community patterns: Lanice conchilega (Pallas, 1776) associations studied over six years. Journal of Sea Research 46, 261272.CrossRefGoogle Scholar
Figure 0

Fig. 1. Map of Channel Islands (Santa Barbara Channel) showing Anacapa Island and the study site.

Figure 1

Table 1. Sampled species, density, size-range, habitat related to the worm tube patch (E, edge; M, middle; S, sand) and occurrence months through each sampling technique.

Figure 2

Fig. 2. Average number of individuals/m2 and standard deviation of Chaenopsis alepidota of each size-class and worm tube patch size sampled by the quadrat technique on every studied month (N = 6 transects/month).

Figure 3

Table 2. ANOVA and Tukey's HSD post hoc multiple-comparison results among-worm tube (WT) patch size differences in total mean density and size structure of Chaenopsis alepidota (smaller and bigger length-class) on each studied month, among-month differences and with all studied months by quadrat sampling technique.

Figure 4

Table 3. Pearson's product-moment correlation coefficient between worm tube (WT) patch size with Chaenopsis alepidota total average density and with the density of each length-class, and with individual length-class by quadrat sampling technique on each studied month and altogether. Density data were log x +1 transformed.

Figure 5

Fig. 3. Average number of individuals/m2 and standard deviation of Rhinogobiops nicholsii of each size-class and worm tube patch size sampled by the quadrat technique on every studied month (N = 6 transects/month).

Figure 6

Table 4. ANOVA and Tukey's HSD post hoc multiple-comparison results among-worm tube (WT) patch size differences in total mean density and size structure of Rhinogobiops nicholsii (large versus small size-class) in each month, among-month differences, and with all studied months by quadrat sampling technique.

Figure 7

Table 5. Pearson's product-moment correlation coefficient between worm tube (WT) patch size with Rhinogobiops nicholsii total average density and with the density of each length-class, and with individual length-class by quadrat sampling technique on each studied month and altogether. Density data were log x +1 transformed.

Figure 8

Fig. 4. Average number of individuals/m2 and standard deviation of Rhinogobiops nicholsii of each size-class and habitat type (ED, edge; MD. middle; SD, sand) related to the worm tube patches sampled by the swimming technique on every studied month (N = 6 transects/month).

Figure 9

Table 6. ANOVA and Tukey's HSD post hoc multiple-comparison results among-habitat type differences in total mean density and size structure of Rhinogobiops nicholsii (smaller and bigger length-class) on each studied month, among-month differences and with all studied months by swimming sampling technique (ED, edge; MD, middle, SD, sand).

Figure 10

Fig. 5. Average individual number/m2 and standard deviation of Rhinogobiops nicholsii on the sampled transect fraction of each habitat type related to the worm tube patches by swimming sampling technique on all studied months (N = 6 transects/month).