Abstract
Mussels form extensive beds in rocky intertidal habitats on temperate seashores worldwide. They are foundation species because their beds host many invertebrates. Mussels and their associated species differ taxonomically among biogeographic regions, but all mussel beds exhibit similar structural and functional properties. Therefore, we investigated if rocky-intertidal mussel beds from around the globe host associated communities that are functionally similar despite their underlying taxonomic differences. We gathered datasets on the abundance of invertebrates found in rocky-intertidal mussel beds from the eastern and western boundaries of the Pacific and Atlantic Oceans from both hemispheres and, then, we compared their taxonomic and functional properties. Taxonomic composition differed markedly among coasts when analyzed at the taxonomic resolution reported by the surveys (often species). However, taxonomic groups with similar ecologies (28 groups including barnacles, decapods, gastropods, polychaetes, etc.) were more universally present in mussel beds. Concomitantly, functional categories of trophic level, body type, and mobility were almost always present on all studied coasts. These taxonomic groups and trait categories, however, showed regional patterns based on their relative abundances. Overall, the ability of mussel beds to host a core community type based on taxonomic groups and functional traits emphasizes their importance for biodiversity and community functioning, making them critical organisms to preserve.
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Introduction
Foundation species are spatially dominant species whose body structures create complex habitats that provide shelter from abiotic and biotic stresses. They are critically important because of the diversity of species that their stands host thanks to those properties. Foundation species can be primary producers such as trees and seaweeds or animals such as bivalves and corals1,2,3,4. Recognition of their ecological relevance especially given recent losses due to anthropogenic factors5,6,7,8 is fueling the need to understand what kinds of associated communities are hosted by foundation species. This article presents the first global analysis of the taxonomic and functional diversity of invertebrate assemblages living in rocky-intertidal mussel beds.
Mussels are bivalves that act as foundation species on temperate seashores across the world. In rocky intertidal habitats, they often occur at high densities covering extensive areas of the substrate, to which they remain attached with byssal threads9,10,11 (Fig. 1). The spaces among the mussels experience lower desiccation and thermal stress during low tides and lower hydrodynamic stress during high tides than open intertidal areas. At the same time, the matrix of mussel shells constitutes colonizable substrate that is more complex than the natural substrate. In addition, due to the limited water motion among the mussels, these stands passively accumulate mussel biowaste and external detritus and sediments, which small species use as food, safe habitat, or both12,13,14,15,16. Overall, these properties allow mussel beds to host many small species. For example, tens of species from several phyla have been identified in rocky-intertidal mussel beds on the NW17, SW14, NE18, and SE19,20 Pacific coasts and on the NW21, SW22,23, NE24,25, and SE26 Atlantic coasts. Naturally, those associated communities differ greatly in species composition, as distant biogeographic regions have different evolutionary histories and thus dissimilar species pools27. In other words, globally common patterns in such communities are not evident when viewed at the species level. However, given the common properties of rocky-intertidal mussel beds, global similarities in their associated communities might emerge if evaluated at a coarser taxonomic resolution, as species within broad groups are often ecologically similar. Ultimately, functional aspects of the associated communities may be responsive to the common properties of mussel beds and, thus, might also exhibit globally common patterns. Therefore, the present study investigates if rocky-intertidal mussel beds from temperate coasts around the globe host associated communities that share broad taxonomic and functional similarities despite taxonomic differences at the species level.
To address our objective, we focused on invertebrate assemblages, which are by far the main constituents of the communities living in mussel beds and the organisms that are typically reported by surveys. Specifically, we gathered datasets on the abundance of invertebrate taxa found in rocky-intertidal mussel beds from the eastern and western boundaries of the Pacific and Atlantic Oceans from both hemispheres. Then, we compared those assemblages based on their taxonomic and functional properties. Functional aspects of communities are often inferred based on functional traits of their constituent species. This is a common approach because it is generally impractical to measure various functional processes directly on all species in a community28,29,30,31. Therefore, to address our goal, we used information on functional traits for the invertebrate taxa that were listed in the abundance datasets that were available for this study (see “Methods”).
Results
Global taxonomic patterns
The surveys that were available for this study (Fig. 2, Table 1) identified 413,446 organisms of 601 invertebrate taxa found in intertidal mussel beds from temperate rocky shores around the world. The highest number of identified taxa per survey (242) was reported for Washington and the lowest (26) for New Zealand (Table 1). The level of taxonomic resolution varied among the surveys, as the percentage of the reported taxa identified as species ranged from 13.8% in Uruguay to 84.7% in Washington (Table 1). Standardized taxonomic richness (number of identified taxa per unit area) varied statistically among the surveyed coasts (F9, 606 = 34.36, P < 0.001; Fig. 3), although values were relatively comparable among the coasts (Fig. 3). Only 7% of the taxa identified as species were reported for more than one coast.
Using the density values of the identified taxa (which included many species), the taxonomic composition of associated communities varied significantly among coasts (pseudo F9, 606 = 30.72, P < 0.001), with marked differences between coasts indicated by the NMDS ordination (Fig. 4). Using the density values of the 28 broad taxonomic groups listed in Supplementary Table S1 (see “Methods” for rationale), taxonomic composition also varied among coasts (pseudo F9, 606 = 28.88, P < 0.001), but the NMDS ordination showed overlaps among most coasts (Fig. 4). To evaluate how taxonomic groups characterize the associated communities globally, we calculated the relative density of each taxonomic group for each plot. Nine of these taxonomic groups (amphipods, anthozoans, barnacles, bivalves, decapods, gastropods, isopods, nemerteans, and polychaetes) were present on at least eight of the 10 surveyed coasts, while the other 19 taxonomic groups were present on seven or fewer coasts (Table 2). For most taxonomic groups, relative density differed among the surveyed coasts (Fig. 5, Supplementary Table S1). A few geographic patterns of interest emerged. For example, barnacles (Thecostraca) were most prominent on the three coasts surveyed in the eastern Pacific (Washington, Oregon, and Chile) as well as South Africa. Oligochaetes and nematodes, on the other hand, were relatively most abundant on the two coasts surveyed in the northern Atlantic (Nova Scotia and Ireland) (Fig. 5).
Global functional patterns
The trait space calculated using the trait categories determined for the taxa reported by the surveys was similar among the surveyed coasts (Fig. 6). Standardized functional richness (functional richness expressed per unit area) varied among the coasts (F9, 606 = 58.57, P < 0.001), although most coasts exhibited similar values (Fig. 7).
The functional composition of the associated communities varied among coasts (pseudo F9, 606 = 47.42, P < 0.001), but NMDS revealed overlaps among most coasts (Fig. 8). To identify the trait categories that characterize the associated communities across coasts, we calculated (separately for each trait) the relative density of each trait category for each plot. Almost all of the trait categories were represented on all coasts, the exceptions being detritivores and firm bodies (present on all coasts but Japan), bodies with spines (sea urchins, reported only for Washington and Chile), and parasites (reported only for Washington). The trait categories differed in relative density among the coasts (Fig. 9, Supplementary Table S1), showing some geographic patterns of interest that are described below.
Regarding trophic levels, filter-feeders were relatively most abundant on the eastern Pacific coast (mainly Washington and Oregon and then Chile) and in South Africa, while detritivores predominated on the two coasts surveyed in the northern Atlantic (Nova Scotia and Ireland). Herbivores were relatively most abundant in the southern hemisphere (mainly New Zealand and Uruguay, followed by Chile, Argentina, and South Africa) and Washington. Carnivores were typically less abundant than herbivores, being relatively most abundant in New Zealand, Chile, and Argentina. Omnivores did not show particularly clear geographic patterns. An NMDS ordination of plots based only on the relative density of trophic levels further revealed these regionalities. For instance, the three surveyed eastern Pacific coasts (Washington, Oregon, and Chile) were nearby in the ordination and close to South Africa. In turn, Chile was also close to the other South American surveyed coasts (Argentina and Uruguay). Meanwhile, the two coasts surveyed in the north Atlantic (Nova Scotia and Ireland) coincided in a separate section of the ordination graph (Fig. 9).
Regarding body types, organisms with shells were the most abundant organisms on the eastern Pacific coast (Washington, Oregon, and Chile), South Africa, New Zealand, and Uruguay, while organisms with soft bodies were relatively most abundant in the north Atlantic (Nova Scotia and Ireland), Argentina, and Japan. Organisms with other body types exhibited more variable geographic patterns of abundance. Nonetheless, an NMDS ordination of plots based on the relative density of body types revealed the same basic regionalities described for trophic levels (Fig. 9).
Regarding mobility types, sessile organisms predominated on the eastern Pacific coast (Washington, Oregon, and Chile) and South Africa. Crawlers were best represented in the northern Atlantic (Nova Scotia and Ireland) but were also relatively abundant on distant coasts (New Zealand, Japan, and Argentina). Swimming organisms were best represented in Uruguay. Interestingly, an NMDS ordination of plots based on the relative density of mobility categories showed the same basic regionalities as for trophic levels and body types (Fig. 9).
Discussion
Using data from temperate coasts from the eastern and western boundaries of the Atlantic and Pacific Oceans from both hemispheres, we studied biogeographic patterns in the taxonomic and functional composition of invertebrate assemblages from rocky-intertidal mussel beds. Remarkably, while the number of taxa identified per coast differed by nearly ten times between the most extreme cases (Washington vs. New Zealand), values were within the same order of magnitude for all coasts excluding Washington (between 26 and 75 taxa). As the datasets available for this study were originally collected for different purposes, the environmental range covered by each survey differed to some extent. This is worthy of consideration because, in rocky intertidal habitats, physiological stress varies across elevations and hydrodynamic physical stress varies horizontally along the shore32,33,34, and species richness often increases with environmental heterogeneity35,36,37. The Washington survey covered the most heterogeneous environmental range, spanning low to high elevations and wave-exposed to more sheltered habitats38 (see also Supplementary Note). Thus, this might partially explain why that survey identified more taxa than the other surveys. In any case, the finding that the number of identified taxa was within the same order of magnitude for all of the other coasts reveals a commonality for intertidal mussel beds. Moreover, when taxonomic richness was expressed per unit area (at a spatial resolution of dm2), it differed little among coasts even including Washington. This finding indicates that intertidal mussel beds in general are able to sustain comparable levels of taxonomic complexity per unit area. This property is probably related to the common characteristics that dense mussel beds display12,14,22,39 (Fig. 1).
The marked difference among coasts in the taxonomic composition of associated communities when viewed at the taxonomic resolution reported by the surveys (often to the species level) was not surprising given the divergent evolutionary paths of biogeographic regions. Nonetheless, some regional patterns were clear, as the plot clusters of Washington and Oregon were nearby in the multivariate ordination, as were those of Chile and Argentina and those of Nova Scotia and Ireland. These regionalities might be primarily determined by oceanography. For instance, the Washington and Oregon coasts are washed by the southward California Current, while the Chilean and Patagonian Argentine coasts are washed by northward currents that branch off the Antarctic Circumpolar Current at the southern tip of South America40,41. Similarly, the Nova Scotia and European coasts share a biogeographic history related to trans-Atlantic dispersal of intertidal organisms42,43,44,45.
Sorting the identified taxa into 28 taxonomic groups revealed basic global commonalities, as amphipods, decapods, gastropods, isopods, and polychaetes were present on all of the surveyed coasts, while anthozoans, barnacles, bivalves, and nemerteans occurred on at least eight coasts. Moreover, using the abundance data for the 28 groups, overlaps in taxonomic composition emerged among most coasts in multivariate space. These findings indicate that the main groups of organisms hosted by rocky-intertidal mussel beds are relatively consistent despite species-specific differences rooted mainly in biogeography. A few regional patterns were also evident, as barnacles had the highest relative abundances on the eastern Pacific coast (Washington, Oregon, and Chile) in addition to South Africa, while oligochaetes and nematodes were relatively most abundant in Nova Scotia and Ireland. Explaining the abundance differences among coasts for the 28 groups is difficult because of the differing environmental range covered by the surveys. In addition, changes in the abundance of even a few species can alter community structure through direct and indirect interspecific interactions that are often unpredictable without experimentation46, so snapshot abundance data often cannot reveal the underlying interaction web47,48. Interaction webs for communities of primary-space holders (macroalgae and filter-feeders) and their consumers (sea stars, crabs, snails, etc.) are well understood for many rocky shores49,50,51,52, but this is not the case for the invertebrate assemblages living in intertidal mussel beds. These knowledge gaps represent opportunities for future research.
When we studied functional traits of the associated communities, common patterns among coasts also emerged. The polygons used to calculate functional richness in trait space overlapped greatly among coasts, indicating that similar trait combinations occur in these systems. Moreover, the associated communities had limited differences in standardized functional richness (functional richness per unit area) among most coasts, the exceptions being only Washington and Uruguay, with lower values. Relative to the other coasts, Washington had lower functional richness than taxonomic richness, indicating a higher functional redundancy in Washington. This may result from the high taxonomic resolution of the Washington survey and the high diversity of species in groups low in the taxonomic hierarchy.
While those global commonalities were evident, the relative abundance of trait categories showed regionalities. These patterns were related to those for the taxonomic groups described above, as indicated by particular combinations of trait categories. For instance, the prominence of filter-feeding, shell possession, and sessility on the eastern Pacific coast (Washington, Oregon, and Chile) and South Africa was related to the combined predominance of barnacles and bivalves (excluding the mussels composing the beds) on those coasts. As coastal upwelling is important on those shores40,41, the phytoplankton blooms and the detritus of the associated pelagic food webs that are facilitated by upwelling might explain the predominance of such organisms and traits in those mussel beds. Another taxonomic–functional relationship is exemplified by the prominence of detritivory, soft bodies, and crawling in the north Atlantic (Nova Scotia and Ireland), which reflects the predominance of oligochaetes and nematodes on those coasts. On the other hand, the three coasts surveyed in South America (Chile, Argentina, and Uruguay) were always nearby in multivariate space when ordinated using the categories of the three considered functional traits.
In summary, this global study supports the notion that rocky-intertidal mussel beds host invertebrate assemblages that share to a great extent a common set of functional properties. Almost all of the studied trait categories were represented on all surveyed coasts. This is remarkable because the studied coasts differ greatly in taxonomic composition at the taxonomic resolution (often species) used by the surveys. Grouping the identified taxa at higher taxonomic levels, however, also revealed mussel beds as hosts of a common set of organisms globally, as amphipods, anthozoans, barnacles, bivalves, decapods, gastropods, isopods, nemerteans, and polychaetes were present on 80–100% of the surveyed coasts. Where mussel beds from different shores differ the most is in the relative abundance of taxonomic groups and the corresponding trait categories.
From a parallel perspective, this study also provides evidence that a given type of foundation species can host functionally similar communities at the level noted above even when the underlying species pool differs for biogeographic reasons. This conclusion should help researchers in two ways. First, unstudied foundation species could be expected to host communities similar in function to those hosted by the same kind of foundation species that has been studied elsewhere. Second, if foundation species continue to be lost because of anthropogenic factors5,6,7,8, this knowledge will aid restoration efforts that attempt to recreate specific functions lost in an ecosystem.
Global studies of functional diversity are being conducted for an increasing number of organisms, such as mammals53, spiders54, freshwater fish55, corals56, and reef fish57,58, for example. While a diversity of geographic patterns is being encountered, our study’s conclusions are broadly similar to some of those studies. For example, McLean et al.57 found that trait composition in reef fish assemblages is globally unrelated to taxonomic diversity and instead is mainly driven by environmental filtering that works similarly across oceans. For rocky-intertidal mussel beds, their main structural and functional properties are seemingly the drivers of the common broad taxonomic and functional patterns in their associated communities. Globally common functional patterns are not universal for all groups of organisms, however, as the functional richness of coral assemblages differs greatly across biogeographic regions56. In an era of increasing ecological change, these dissimilar results highlight the need to better understand the main drivers of functional properties of communities. Future refinements of studies done for mussel beds could include conducting contemporary surveys on various shores (which will require several teams) with the same sampling effort to exclude potential sources of variation such as seasonality, interannual variability, recent biological invasions, and differences in sampling methodology. Meanwhile, the present study will hopefully stimulate a number of experimental studies to unravel the drivers of taxonomic and functional properties of communities associated to rocky-intertidal mussel beds.
Methods
Species abundance datasets
To make this study as global as possible, we used datasets describing the abundance of invertebrate taxa found in rocky-intertidal mussel beds from the NW, SW, NE, and SE coasts of the Pacific and Atlantic Oceans, as those are temperate coasts where intertidal mussels thrive (Fig. 2). Because few of such datasets were publicly available when we began this study (likely because data publishing is a recent practice), we supplemented the few published datasets with datasets provided by contributors who originally produced them for other purposes. We identified these sources using the Web of Science and Google Scholar and we used all of the datasets that became available to us after maximizing attempts to contact these sources. Table 1 lists the used data sources, while the datasets themselves are provided in Supplementary Table S1. The main properties of the coasts where these datasets came from, the collection dates, the names of the mussel species that structured the beds, and a validity assessment for these sampling units are provided in the Supplementary Note. All scientific names have been updated according to the World Register of Marine Species59. Essentially, these surveys measured the abundance of species of the associated communities found in replicate plots collected in dense stands of living mussels from rocky intertidal habitats. Table 1 also specifies the number and size of plots used by each survey. Among the collected mussel stands, those surveys often found seaweeds, barnacles, and bare rock, as is typical of temperate rocky seashores. The studies that produced those datasets are listed in the Supplementary Note and provide additional methodological details in the corresponding methods sections.
Global taxonomic comparison
We taxonomically compared the associated communities among coasts using univariate and multivariate approaches. For each plot, we calculated the number of invertebrate taxa identified by each study (taxonomic richness). Because plot size differed across surveys (Table 1) and taxonomic richness increased linearly with plot size (r = 0.88, P < 0.001, N = 616 plots), for comparisons we standardized taxonomic richness by dividing the number of identified taxa in a plot by the plot’s area. We compared standardized taxonomic richness among coasts through a permutational one-way analysis of variance (ANOVA) using 4999 random permutations.
We then compared the taxonomic composition of coasts by considering both the identity and abundance of the identified taxa. Beforehand, we calculated for each plot the density of each identified taxon by dividing its abundance (number of organisms) in the plot by the plot's area. Using the density values, we compared taxonomic composition among coasts through a permutational multivariate analysis of variance (perMANOVA) using 4999 random permutations. As significant differences were encountered (see “Results”), we ascertained how coasts related to one another through a nonmetric multidimensional scaling (NMDS) ordination based on Bray–Curtis dissimilarities between plots60.
Since those analyses used density data for taxa identified at the lowest possible taxonomic level by each survey, the datasets were dominated by density values for species (Table 1, Supplementary Table S1). This property of the data likely explains the clear differences in taxonomic composition among coasts (see “Results”). Therefore, we evaluated if taxonomic composition would be more similar among coasts if analyzed at a coarser taxonomic resolution, under the notion that species within broad groups are often ecologically similar, which would allow such groups to be represented more similarly across mussel beds given the common properties of mussel beds. We grouped the identified taxa into 28 taxonomic groups (Supplementary Table S1). Then, using density values calculated for those groups, we compared group taxonomic composition among coasts through a perMANOVA using 4999 random permutations and an NMDS ordination based on Bray–Curtis dissimilarities between plots.
Global functional comparison
To infer functional properties of the associated communities, we used three functional traits: trophic level, body type, and mobility. We considered six possible categories for trophic level (filter-feeder, herbivore, carnivore, omnivore, detritivore, and parasite), five categories for body type (soft body without external protections, firm body without external protections, body with an exoskeleton, body with calcified shell/s, and body with spines), and three categories for mobility (sessile, crawler, and swimmer). These traits were chosen to cover important functional aspects such as the ability to process different kinds of food, the ability to resist physical stress, and movement abilities. We assigned each identified taxon to the corresponding category of each trait using information from online databases and the scientific literature59,61,62. The trait categories assigned to each identified taxon are specified in Supplementary Table S1.
Once the identified taxa were assigned to the corresponding trait categories, for each plot we calculated functional richness based on Gower distances between taxa using their values (1 or 0) for each trait category63. Because functional richness closely increased linearly with taxonomic richness (r = 0.93, P < 0.001, N = 616 plots) and taxonomic richness increased with plot size, which varied among surveys (see above), for comparisons we standardized functional richness by dividing the value obtained for each plot by the plot’s area. We compared standardized functional richness among coasts through a permutational one-way ANOVA using 4999 random permutations.
Finally, we compared coasts based on the functional composition of the associated communities, which refers to a combined measure of the identity and abundance of each trait category. First, we calculated for each plot, and separately for each of the three functional traits, the relative abundance of each trait category as the sum of the values of relative abundance of the identified taxa that were assigned to each trait category. Then, using those values, we compared functional composition among coasts through a perMANOVA using 4999 random permutations. As significant differences were found (see “Results”), we evaluated how coasts related to one another through an NMDS ordination based on Bray–Curtis dissimilarities between plots.
We conducted the data analyses using the FD63, RVAideMemoire64, and vegan65 packages in R version 4.0.2.
Data availability
The entire dataset used for this study is provided in Supplementary Table S1.
References
Stachowicz, J. J. Mutualism, facilitation, and the structure of ecological communities: Positive interactions play a critical, but underappreciated, role in ecological communities by reducing physical or biotic stresses in existing habitats and by creating new habitats on which many species depend. Bioscience 51, 235–246 (2001).
Ellison, A. M. et al. Species diversity associated with foundation species in temperate and tropical forests. Forests 10, 128 (2019).
Catalán, A. M. et al. Community-wide consequences of nonconsumptive predator effects on a foundation species. J. Anim. Ecol. 90, 1307–1316 (2021).
Catalán, A. M. et al. Foundation species canopies affect understory beta diversity differently depending on species mobility. Ecology 104, e3999 (2023).
Lamy, T. et al. Foundation species promote community stability by increasing diversity in a giant kelp forest. Ecology 101, e02987 (2020).
O’Brien, M. J., Carbonell, E. P., Losapio, G., Schluter, P. M. & Schöb, C. Foundation species promote local adaptation and fine-scale distribution of herbaceous plants. J. Ecol. 109, 191–203 (2021).
Fields, J. B. & Silbiger, N. J. Foundation species loss alters multiple ecosystem functions within temperate tidepool communities. Mar. Ecol. Prog. Ser. 683, 1–19 (2022).
Montie, S. & Thomsen, M. S. Long-term community shifts driven by local extinction of an iconic foundation species following an extreme marine heatwave. Ecol. Evol. 13, e10235 (2023).
Paine, R. T. & Levin, S. A. Intertidal landscapes: Disturbance and the dynamics of pattern. Ecol. Monogr. 51, 145–178 (1981).
Bertness, M. D. et al. The community structure of western Atlantic Patagonian rocky shores. Ecol. Monogr. 76, 439–460 (2006).
Bertness, M. D., Trussell, G. C., Ewanchuk, P. J., Silliman, B. R. & Crain, C. M. Consumer-controlled community states on Gulf of Maine rocky shores. Ecology 85, 1321–1331 (2004).
Seed, R. & Suchanek, T. H. Population and community ecology of Mytilus. In The Mussel Mytilus: Ecology, Physiology, Genetics, and Culture (ed. Gosling, E.) 87–169 (Elsevier, 1992).
Norling, P. & Kautsky, N. Structural and functional effects of Mytilus edulis on diversity of associated species and ecosystem functioning. Mar. Ecol. Prog. Ser. 351, 163–175 (2007).
Palomo, M. G., People, J., Chapman, M. G. & Underwood, A. J. Separating the effects of physical and biological aspects of mussel beds on their associated assemblages. Mar. Ecol. Prog. Ser. 344, 131–142 (2007).
Kochmann, J., Buschbaum, C., Volkenborn, N. & Reise, K. Shift from native mussels to alien oysters: Differential effects of ecosystem engineers. J. Exp. Mar. Biol. Ecol. 364, 1–10 (2008).
Riedemann-Saldivia, B. et al. Non-consumptive effects of a predatory snail (Acanthina monodon) on a dominant habitat-forming mussel species (Perumytilus purpuratus). Mar. Environ. Res. 175, 105573 (2022).
Tsuchiya, M. & Nishihira, M. Islands of Mytilus edulis as a habitat for small intertidal animals: Effect of island size on community structure. Mar. Ecol. Prog. Ser. 25, 71–81 (1985).
Suchanek, T. H. Extreme biodiversity in the marine environment: Mussel bed communities of Mytilus californianus. Northwest. Environ. J. 8, 150–152 (1992).
Prado, L. & Castilla, J. C. The bioengineer Perumytilus purpuratus (Mollusca: Bivalvia) in central Chile: Biodiversity, habitat structural complexity, and environmental heterogeneity. J. Mar. Biol. Assoc. U.K. 86, 417–421 (2006).
Valdivia, N. & Thiel, M. Effects of point-source nutrient addition and mussel removal on epibiotic assemblages in Perumytilus purpuratus beds. J. Sea Res. 56, 271–283 (2006).
Arribas, L. P., Donnarumma, L., Palomo, M. G. & Scrosati, R. A. Intertidal mussels as ecosystem engineers: Their associated invertebrate biodiversity under contrasting wave exposures. Mar. Biodivers. 44, 203–211 (2014).
Borthagaray, A. I. & Carranza, A. Mussels as ecosystem engineers: their contribution to species richness in a rocky littoral community. Acta Oecol. 31, 243–250 (2007).
Arribas, L. P., Bagur, M., Klein, E., Penchaszadeh, P. & Palomo, M. G. Geographic distribution of mussel species and associated assemblages along the northern Argentinean coast. Aquat. Biol. 18, 91–103 (2013).
Lintas, C. & Seed, R. Spatial variation in the fauna associated with Mytilus edulis on a wave-exposed rocky shore. J. Moll. Stud. 60, 165–174 (1994).
O’Connor, N. E. & Crowe, T. P. Biodiversity among mussels: Separating the influence of sizes of mussels from the ages of patches. J. Mar. Biol. Assoc. U.K. 87, 551–557 (2007).
Hammond, W. & Griffiths, C. L. Influence of wave exposure on South African mussel beds and their associated infaunal communities. Mar. Biol. 144, 547–552 (2004).
Carstensen, D. W., Lessard, J. P., Holt, B. G., Borregaard, M. K. & Rahbek, C. Introducing the biogeographic species pool. Ecography 36, 1310–1318 (2013).
Coccia, C., Almeida, B. A., Green, A. J., Gutiérrez, A. B. & Carbonell, J. A. Functional diversity of macroinvertebrates as a tool to evaluate wetland restoration. J. Appl. Ecol. 58, 2999–3011 (2021).
Gómez-Gras, D. et al. Climate change transforms the functional identity of Mediterranean coralligenous assemblages. Ecol. Lett. 24, 1038–1051 (2021).
Wong, M. C. & Dowd, M. Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds. Ecosphere 12, e03794 (2021).
Kandlikar, G. S., Kleinhesselink, A. R. & Kraft, N. J. B. Functional traits predict species responses to environmental variation in a California grassland annual plant community. J. Ecol. 110, 833–844 (2022).
McQuaid, C. D., Lindsay, J. R. & Lindsay, T. L. Interactive effects of wave exposure and tidal height on population structure of the mussel Perna perna. Mar. Biol. 137, 925–932 (2000).
Scrosati, R. & Heaven, C. Spatial trends in community richness, diversity, and evenness across rocky intertidal environmental stress gradients in eastern Canada. Mar. Ecol. Prog. Ser. 342, 1–14 (2007).
Burel, T., Grall, J., Schaal, G., Le Duff, M. & Gall, E. A. Wave height vs. elevation effect on macroalgal dominated shores: An intercommunity study. J. Appl. Phycol. 32, 2523–2534 (2020).
Stein, A., Gerstner, K. & Kreft, H. Environmental heterogeneity as a universal driver of species richness across taxa, biomes, and spatial scales. Ecol. Lett. 17, 866–880 (2014).
López-Delgado, E. O., Winemiller, K. O. & Villa-Navarro, F. A. Local environmental factors influence beta-diversity patterns of tropical fish assemblages more than spatial factors. Ecology 101, e02940 (2020).
Barczyk, M. K., Acosta-Rojas, D. C., Espinosa, C. I., Schleuning, M. & Neuschulz, E. L. Biotic pressures and environmental heterogeneity shape beta-diversity of seedling communities in tropical montane forests. Ecography 2023, e06538 (2023).
Suchanek, T. H. The Mytilus californianus community: Studies on the composition, structure, organization and dynamics of a mussel bed. Ph.D. dissertation, University of Washington (1979).
Guiñez, R. & Castilla, J. C. A tridimensional self-thinning model for multilayered intertidal mussels. Am. Nat. 154, 341–357 (1999).
Stewart, R. H. Introduction to physical oceanography. https://open.umn.edu/opentextbooks/textbooks/introduction-to-physical-oceanography (Open Textbook Library, 2008).
Kämpf, J. & Chapman, P. Upwelling Systems of the World. A Scientific Journey to the Most Productive Marine Ecosystems (Springer, 2016).
Wares, J. P. & Cunningham, C. W. Phylogeography and historical ecology of the North Atlantic intertidal. Evolution 55, 2455–2469 (2001).
Ilves, K. L., Huang, W., Wares, J. P. & Hickerson, M. J. Colonization and/or mitochondrial selective sweeps across the North Atlantic intertidal assemblage revealed by multi-taxa approximate Bayesian computation. Mol. Ecol. 19, 4505–4519 (2010).
Waltari, E. & Hickerson, M. J. Late Pleistocene species distribution modelling of North Atlantic intertidal invertebrates. J. Biogeogr. 40, 249–260 (2013).
Blakeslee, A. M. H. et al. Population structure and phylogeography of two North Atlantic Littorina species with contrasting larval development. Mar. Biol. 168, 117 (2021).
Menge, B. A. Indirect effects in marine rocky intertidal interaction webs: Patterns and importance. Ecol. Monogr. 65, 21–74 (1995).
Thurman, L. L., Barner, A. K., Garcia, T. S. & Chestnut, T. Testing the link between species interactions and species co-occurrence in a trophic network. Ecography 42, 1–13 (2019).
Blanchet, F. G., Cazelles, K. & Gravel, D. Co-occurrence is not evidence of ecological interactions. Ecol. Lett. 23, 1050–1063 (2020).
Bertness, M. D. Atlantic Shorelines. Natural History and Ecology (Princeton University Press, 2007).
Benedetti-Cecchi, L. & Trussell, G. C. Intertidal rocky shores. In Marine Community Ecology and Conservation (eds Bertness, M. D. et al.) 203–225 (Sinauer, 2014).
Hawkins, S. J. et al. The intertidal zone of the north-east Atlantic region: Pattern and process. In Interactions in the Marine Benthos: Global Patterns and Processes (eds Hawkins, S. J. et al.) 7–46 (Cambridge University Press, 2019).
Menge, B. A. et al. Integrating coastal oceanic and benthic ecological approaches for understanding large-scale meta-ecosystem dynamics. Oceanography 32, 38–49 (2019).
Safi, K. et al. Understanding global patterns of mammalian functional and phylogenetic diversity. Philos. Trans. R. Soc. B 366, 2536–2544 (2011).
Cardoso, P., Pekár, S., Jocqué, R. & Coddington, J. A. Global patterns of guild composition and functional diversity of spiders. PLoS One 6, e21710 (2011).
Toussaint, A., Charpin, N., Brosse, S. & Villéger, S. Global functional diversity of freshwater fish is concentrated in the Neotropics while functional vulnerability is widespread. Sci. Rep. 6, 22125 (2016).
McWilliam, M. et al. Biogeographical disparity in the functional diversity and redundancy of corals. Proc. Natl. Acad. Sci. U.S.A. 115, 3084–3089 (2018).
McLean, M. et al. Trait similarity in reef fish faunas across the world’s oceans. Proc. Natl. Acad. Sci. U.S.A. 118, e2012318118 (2021).
Quimbayo, J. P. et al. Patterns of taxonomic and functional diversity in the global cleaner reef fish fauna. J. Biogeogr. 48, 2469–2485 (2021).
WoRMS. World register of marine species. http://marinespecies.org (2023).
Clarke, K. R., Gorley, R. N., Somerfield, P. J. & Warwick, R. M. Change in Marine Communities: An Approach to Statistical Analysis and Interpretation (PRIMER-e, 2014).
Degen, R. & Faulwetter, S. The Arctic traits database—A repository of Arctic benthic invertebrate traits. Earth Syst. Sci. Data 11, 301–322 (2019).
MarLIN. Marine life information network. BIOTIC—Biological traits information catalogue. http://www.marlin.ac.uk/biotic (2023).
Laliberté, E. & Legendre, P. A distance-based framework for measuring functional diversity from multiple traits. Ecology 91, 299–305 (2010).
Hervé, M. RVAideMemoire: Testing and plotting procedures for biostatistics. https://cran.r-project.org/package=RVAideMemoire (2022).
Oksanen, J. et al. vegan: Community ecology package. https://cran.r-project.org/package=vegan (2019).
Acknowledgements
We appreciate the constructive comments from two anonymous reviewers. This study was funded by a Discovery Grant (# 311624) awarded to RAS by the Natural Sciences and Engineering Research Council of Canada (NSERC) and by a Graduate Scholarship (no number) awarded to NMC by Research Nova Scotia, Canada. We thank Lorena Arribas, Ana Borthagaray, Andrew Davis, Alan Hodgson, Takashi Noda, Nessa O’Connor, Martin Thiel, and Yoko Wada for sharing invertebrate abundance datasets originally generated for other purposes (see Supplementary Note) and Lily Miksell for assistance to identify invertebrates from Oregon. This work represents part of the Master of Science thesis conducted by NMC (co-supervised by RAS and NV) at St. Francis Xavier University, Canada.
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R.A.S. and N.M.C. conceived the study, N.M.C., R.A.S., N.V. and Z.D.M. obtained the datasets, N.M.C. did the data analyses assisted by R.A.S., N.V. and Z.D.M., R.A.S. and N.M.C. wrote the manuscript, and N.V. and Z.D.M. provided editorial comments.
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Cameron, N.M., Scrosati, R.A., Valdivia, N. et al. Global taxonomic and functional patterns in invertebrate assemblages from rocky-intertidal mussel beds. Sci Rep 14, 26 (2024). https://doi.org/10.1038/s41598-023-50549-8
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DOI: https://doi.org/10.1038/s41598-023-50549-8
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