Abstract
The construction of the Suez Canal connected the Red Sea and the Mediterranean Sea, which allowed rapid marine bio-invasion. Over the last century, several bivalve species have invaded the Levantine basin, yet their distribution and impact on the benthic community have not been thoroughly studied. Large-scale benthic surveys along the rocky substrate of the Israeli Mediterranean coastline indicate that invading bivalves, such as Spondylus spinosus, Brachidontes pharaonis, and Pinctada radiata, now dominate the rocky environment, with densities of tens to hundreds of individuals per m2. No native bivalve specimens were found in any of the transects surveyed. The small-scale ecological effects of the established invading populations on the benthic community were examined over a year using an in-situ exclusion experiment where all invading bivalves were either physically removed or poisoned and kept in place to maintain the physical effect of the shells. Surprisingly, the experimental exclusion showed a little measurable effect of bivalve presence on the invertebrate community in close vicinity (~ 1 m). Bivalve presence had a small, but statistically significant, effect only on the community composition of macroalgae, increasing the abundance of some filamentous macroalgae and reducing the cover of turf. The generally low impact of bivalves removal could be due to (1) wave activity and local currents dispersing the bivalve excreta, (2) high grazing pressure, possibly by invading herbivorous fish, reducing the bottom-up effect of increased nutrient input by the bivalves, or (3) the natural complexity of the rocky habitat masking the contribution of the increased complexity associated with the bivalve’s shell. We found that established invading bivalves have replaced native bivalve species, yet their exclusion has a negligible small-scale effect on the local benthic community.
Supplementary Information
The online version contains supplementary material available at 10.1007/s10530-022-02986-1.
Keywords: East Mediterranean, Lessepsian migration, Invasive species, Spondylus spinosus, Chama pacifica, Brachidontes pharaonis, Pinctada radiata, Malleus regula
Introduction
Marine and coastal ecosystems worldwide are being invaded at an extraordinary rate as the result of human activities and climate change that increases opportunities for new species to be introduced and subsequently establish a population (Chan and Briski 2017). Nevertheless, only a small proportion of the studies of invasive species assess the ecological effects subsequent to the invasion, especially in coastal habitats (Watkins et al. 2021). Moreover, recent introductions are more frequently studied than long-established invading species (Strayer et al. 2006; Florencio et al. 2019). Although most studies emphasize the negative effects of biological invasions, other studies indicate that non-native species have no or even positive effects on their new environment (Ruesink et al. 2005; Schlaepfer et al. 2011; Florencio et al. 2019).
The class Bivalvia (~ 8000 marine species) includes the economically important mussels, oysters, scallops, and clams. The vast majority of bivalves are suspension feeders—they use their modified gills to remove suspended particles from water that they pump through their mantle cavity (Bracken 2004; Dame 2012; Gosling 2015; Vaughn and Hoellein 2018). The water is then excreted with metabolic waste that contains, among other metabolites, ammonium, dissolved organic matter, feces, and pseudo-feces (the latter is excreted through the inhalant opening). Through their feeding and excretion activity bivalves import (and recycle) large quantities of organic particulate matter from the water column into the benthic ecosystem (Bracken 2004; Dame 2012; Gosling 2015; Vaughn and Hoellein 2018).
Bivalve invasion is a widespread phenomenon that often results in dramatic impacts on local ecosystems due to the formation of high-density populations in a short period (Sousa et al. 2009; Higgins and Vander Zanden 2010; Escobar et al. 2018). The effects of invading bivalves on their new environment vary between the pelagic and the benthic zones (Sardiña et al. 2008; Sousa et al. 2009; Higgins and Vander Zanden 2010; Strayer 2010). Phytoplankton communities are directly affected by the invading bivalve grazing activity that commonly reduces phytoplanktonic biomass and changes community composition (Cloern 1982; Higgins and Vander Zanden 2010; Strayer 2010). The bivalve feeding mechanism reduces suspended matter (organic and inorganic particles) and increases water clarity (Higgins and Vander Zanden 2010; Sousa et al. 2014). This results in deepening the photic zone and may enhance the growth of periphyton and macrophytes (Higgins and Vander Zanden 2010; Dame 2012; Gosling 2015). Moreover, both in mesocosms and in-situ experiments a profound macroalgae biomass increase was observed in the presence of bivalves (Bracken and Nielsen 2004; Bracken 2004).
The bivalve shell acts as a substrate for sessile species including algae, other bivalves, and a variety of invertebrates. It also increases the complexity and heterogeneity of the habitat by creating new microhabitats (Gutierrez et al. 2003; Sousa et al. 2009). Moreover, the bivalve shell can serve as a refuge for small organisms, including young stages of economically important species, from predation and abiotic stress (Fernandez et al. 1993; Gutierrez et al. 2003; Sousa et al. 2009). Fluid transport is also affected by the presence of bivalve shells via micro- and macroscopic changes in water flow and infiltration into the sediment (Gutierrez et al. 2003; Sousa et al. 2009). Due to their ability to control and/or modulate the availability of resources to other species (via physical and/or biological effects such as feeding and excretion of metabolic waste), bivalves are often referred to as ecosystem engineers (Jones et al. 1996; Crooks 2002).
The effects of invading bivalves on the benthic fauna are complex, and may include: (1) an increase in biomass and diversity of associated fauna following the invasion (Crooks 2002; Sousa et al. 2009). In South American rivers, where the invasive golden mussel (Limnoperna fortunei) formed dense populations, invertebrates were 27–100% more numerous and consisted of 43–100% more biomass than in areas without the mussels (Sylvester et al. 2007). (2) Competitive exclusion of native bivalves (Safriel and Sasson-Frostig 1988; Rilov et al. 2004; Sarà et al. 2008; Strayer and Malcom 2018). (3) Top-down control on other sessile invertebrates through predation of planktonic larvae (Cowden et al. 1984; Crooks and Khim 1999; Strayer 2010). (4) Small or undetectable effects on the invertebrate community and native bivalves (Richardson 2020). More intricate effects are second-order interactions where, for example, the presence of the invasive Asian date mussel (Musculista senhousia) had consistent negative effects on the asexual propagation of eelgrass in California (Reusch and Williams 1998; Crooks and Khim 1999). The effects listed are not mutually exclusive and can result in fundamentally different effects of the invasion.
The opening of the Suez Canal in 1869 initiated the migration and transportation of Indo-Pacific species from the Red Sea into the Mediterranean Sea. This led to a rapid and unprecedented rate of marine bio-invasions, especially to the Levantine basin (South-East Mediterranean, Galil 2000, 2008; Rilov and Galil 2009). Hundreds of species—principally mollusks, fish, crustaceans, polychaetes, and macrophytes—have become established along the Levantine coasts, including 40 species of invading bivalves that have established populations (Galil 2000; Zenetos et al. 2010; Albano et al. 2021).
Information on native bivalve and benthic community composition in the subtidal of the Levantine basin is scant. Early reports show two native mytilids (Mytilus galloprovincialis and Mytilaster minimus) inhabiting the intertidal zone, and two oysters (Chama gryphoides and Spondylus gaederopus) inhabiting the subtidal zone (Lipkin and Safriel 1971; Barash and Danin 1992; Fishelson 2000; Crocetta et al. 2013). A monitoring program of the fish and benthic communities, including bivalves, was established in 2015 by the Israel Nature and Parks Authority (INPA) and reported that all the bivalves sampled during 2015 were invasive except one specimen (Frid and Yahel 2018). To our knowledge, very few studies have dealt with the distribution patterns of native bivalves (Safriel and Sasson-Frostig 1988), or their physiology (Sarà and Pusceddu 2008; Galimany et al. 2011 and reference therein) in the Mediterranean Sea. Recent studies have shown a severe decline in dozens of native invertebrate species populations in the Levantine basin (Rilov 2016), with an almost complete extirpation of native bivalve species in some habitats (Albano et al. 2021). Although it is clear that native species are less abundant than in the past, it is not clear whether invading species have outcompeted and functionally replaced them (Steger et al. 2021). Other biological factors such as a disease, the appearance of an invasive parasite or predator, and or abiotic factors such as warming sea temperature and increase in salinity may cause the disappearance or collapse of native bivalves (Albano et al. 2021). Therefore, the native populations may have collapsed before the invasion rather than being excluded or outcompeted by the invading bivalves.
Several invading bivalves dominate local communities in the Levantine basin and may have replaced native bivalves (Zurel et al. 2012; Rilov 2013; Crocetta et al. 2013). The pearl oyster, Pinctada radiata (Leach, 1814; family Margaritidae) was one of the first invasive mollusks recorded in the Mediterranean (first observed in 1874) and became abundant in the Levantine basin (Galil 2008) with evidence of spreading into the western Mediterranean basin (Kersting and Hendriks 2021). The invading mussel Brachidontes pharaonis (P. Fischer, 1870; family Mytilidae) covers large swaths of the shallow rocky substrate (Rilov et al. 2004). These populations undergo boom and bust cycles that displace and eliminate native species from this habitat (Rilov et al. 2004; Rilov and Galil 2009). Note that the origin and status of B. pharaonis are currently unresolved (Belmaker et al. 2021). A new invading mytilid, identified as Perna perna (Linnaeus, 1758; family Mytilidae), has started to form dense populations at some localities and may enhance local whelk populations (Douek et al. 2021). In the subtidal zone, the invading oysters Spondylus spinosus (Schreibers, 1793; family Spondylidae) and Chama pacifica (Broderip, 1835; family Chamidae) are reported to account for most of the invertebrate rock cover and biomass (Fishelson 2000; Shabtay et al. 2014; Frid and Yahel 2018; Rilov et al. 2018). In some localities, aggregations of these species are modifying the three-dimensional structure of the rocky habitats by forming small oyster reefs that are new to this area (Zurel et al. 2012; Rilov 2013; Shabtay et al. 2014). However, to date, the densities, distribution patterns, and population structures of invading bivalves are not well documented along the Levantine basin (Zurel et al. 2012; Crocetta et al. 2013; Shabtay et al. 2014). Importantly, despite the magnitude of bivalve invasions in the Levantine basin, the ecological effects of their presence today on the benthic community have not been thoroughly studied.
The current study examined the ecological effects of long-established invaders on the benthic community of the Levantine basin coastline, an environment exposed to intensive bio-invasions over the past 150 years (Por 1971; Galil 2008). To that end, we addressed two main questions: (1) what are the invading bivalve distribution patterns along the Israeli Mediterranean coastline? (2) How and to what extent do invading bivalves affect the macroalgae and invertebrate populations in their immediate vicinity? To answer these questions, we used large-scale SCUBA surveys along the rocky substrate of the Israeli Mediterranean coastline and conducted an in-situ exclusion experiment in which all bivalves were either physically removed or poisoned and kept in place to preserve the physical effect of their shells. Our study presents new data on the distribution of invading bivalve populations, decades after their invasion, and examines the ecological effects of the exclusion of these well-established invaders on the nearby benthic community that is heavily affected by both other invaders and climate change.
Methods and materials
Study area and benthic community description
The study was conducted on subtidal rocky outcrops (2–26 m depth) of the central and northern parts of the Israeli Mediterranean coastline (Fig. 1a). Most of the Israeli shelf is covered with loose sediment dominated by quartz sand on the nearshore (up to 50 m depth) where patches of rocky outcrops become more abundant toward the north. These rocky outcrops are composed of submerged aeolianite ridges (calcareous cemented sand dunes called “Kurkar”) that run parallel to the coastline (Emery et al. 1960; Lipkin and Safriel 1971). The benthic species inhabiting subtidal hard substrates are documented in species checklists and inventories of native and invading species, but the community composition is poorly described (Fishelson 2000; Einav and Israel 2008; Israel and Einav 2017). The macroalgae community is mainly dominated by turf algae along with patches of canopy and erect macroalgae of both native and non-native species (Rilov et al. 2018). It should be noted that the term ‘turf’ suffers from inconsistent and vague definitions in the literature (Connell et al. 2014). Hereafter, we refer to ‘turf’ as a low-lying benthic algal mat shorter than two cm, which is mainly a mixture of filamentous algae (e.g., Polysiphonia spp.) and other heavily grazed algae.
Fig. 1.
a Map of the Levantine basin at the southeast of the Mediterranean Sea and the four sampling sites along the Israeli coastline surveyed during the spring and fall of 2019. b Illustration of the experimental design with the three treatments: (1) bivalve removal- where all bivalves were physically removed, (2) bivalve poisoning- where all bivalves were poisoned, retaining their empty shells in place, (3) control plot—marked plots with no other interference. The white area represents the main quadrat which received most of the sampling effort. Light purple represents the surrounding treated buffer zone. (c) Examples of experimental plots. Left—four pegs define the main quadrat boundaries, and two tags are attached in diagonal pegs for identification (see detailed protocol in Diga 2022). Right—a control quadrat with invading bivalves taken in December 2020 when turf and coralline algae (mainly Ellisolandia spp.) dominate the rocky subtidal. White arrows indicate the shell openings of the invading bivalve S. spinosus
Underwater visual surveys
To determine the contribution of invading bivalves to the local benthic community, and to study their distribution along the Mediterranean Israeli coastline, we conducted large-scale underwater surveys within the framework of the Israel Nature and Parks Authority’s (INPA) marine reserves monitor program “Marine Bioblitz”. The surveys were conducted at four sites: Achziv, Shikmona, Dor-Habonim, and Gdor (hereafter referred to as 'sites', Fig. 1a) during the spring and fall of 2019. To ensure a good representation of the rocky outcrops in each site, 12, 12, 7, and 9 sampling points were predetermined on a bathymetric map for Achziv, Shikmona, Dor-Habonim, and Gdor, respectively, and then marked with surface buoys from a small skiff. SCUBA divers used the marks as a starting point and laid longshore line transects along the rock contour. Sampling depth was adapted to the distribution of rocky outcrops in each site and ranged between 2 and 26 m. Due to the scale of the survey, we trained several survey teams. Before the onset of the surveys, teams practiced and perform cross-calibrations trials between surveyors to validate the reproducibility of the method.
Line transects (n = 263 transects for bivalve density, of which 196 also recorded percent cover of bivalves and other invertebrates) of 10 m long were surveyed at each predetermined sampling point. 88, 53, 53, and 70 transects were surveyed in Achziv, Shikmona, Dor-Habonim, and Gdor respectively. A fit of the line to the local relief (to represent different rocky features such as overhangs, crevices, etc.) was achieved by using several small fisher weights attached to the lines with plastic clips. Lines were surveyed at 0.1 m intervals (100 points per line). At every point along the line, we documented the substrate type (rock, sediment covering the rock, or algae) or invertebrate present to allow percent cover estimation. If an invertebrate was observed, the maximum length was measured using a plastic caliper to allow subsequent estimation of density and size-frequency distributions (Zvuloni and Belmaker 2016). Bivalves were identified to species level (when possible), but other invertebrates (> 1 cm) were classified to a higher taxonomic level (phylum or class) to ensure consistency among samplers (see table S1 in Online Resource 1). In cases where the bivalve shell was closed, it was impossible to discriminate between Spondylus spinosus and Chama pacifica. Since 60 specimens examined in the lab were tentatively identified as S. spinosus, we designated all surveyed ‘rocky oysters’ as S. spinosus. However, we note that this classification may also contain C. pacifica specimens. Efforts are now being made to further clarify the taxonomic affiliation of these ‘rocky oysters'.
Bivalve exclusion experiment
To assess the effects of invading bivalves on the local macroalgae and invertebrate communities an in-situ experiment with three treatments was deployed at the Gdor site (32° 24′ 07.2" N; 34° 51′ 30.3" E). Treatment plots consisted of 0.3 × 0.3 m quadrats with a 0.4 m width buffer zone surrounding each plot to eliminate the effects of bivalves near the main quadrat. The total treated area of each plot and buffer zone that surrounded it was 1.1 m2. The treatments included: (1) ‘bivalve removal’- where all bivalves within a plot boundary and a surrounding buffer zone were physically removed. This treatment removed both the biological and physical effects of bivalves. (2) ‘Bivalve poisoning’-where all bivalves within a plot and surrounding buffer zone were poisoned, retaining their empty shells in place, and thus removing only the biological effects of the bivalve activity. (3) ‘Control plot’—marked identically to the treatment plots but received no treatment (Fig. 1b).
To minimize the confounding effect of the treatment plot's location and orientation, the experiment was organized in localities where each locality contained all three treatments (removal, poison, and control plots). A total of 16 localities (48 plots) were positioned at depths of 7–12 m. The distance between the treatments within each locality was ~ 1.5 m. Within each locality, the treatments were deployed in the same orientation, minimizing differences in the effect of light, currents, wave activity, etc. The removal and poisoning treatments were applied simultaneously (maximum of two days apart) in each locality. The number of bivalves removed or poisoned, as well as their taxonomic affiliation and status (dead or alive) was documented for each treatment. Bivalves were physically removed using a hammer and chisel. Poisoning of bivalves was done using 8% formaldehyde injections. For Spondylus spinosus, a four mm small hole was drilled (NEMO hammer drill, NEMO® power tools) in the shell as close as possible to the pallial line, and five mL of formaldehyde was injected into the organism tissue after which the hole was immediately sealed with a small amount of epoxy putty (Aquamend®) to prevent leakage into the environment. A small amount of the epoxy putty was also applied to the anterior of the shell to keep both valves attached after the bivalve death. For the smaller and less armored Pinctada radiata and Malleus regula, two mL of formaldehyde was injected after piercing the shell with a stainless-steel needle. A small amount of epoxy polymer was placed on their byssus threads to prevent detaching after the death. Brachidontes pharaonis was rarely (< 5 specimens) observed at the experimental plots and specimens were removed from both removal and poison plots.
Establishing of the 48 plots was done during September–October of 2019 in 16 localities. The removal and poisoning treatments were performed from December 2019 to April 2020 (with delays poised by restrictions of state lockdowns during the Covid-19 pandemic). Within each locality, treatments were applied simultaneously (maximum of two days apart). Macroalgae biomass accumulation was measured one, five, and 12 months after performing the treatments in all localities. Invertebrates and macroalgae surveys were performed from July 2020 until May 2021 (see details below).
Post-treatment monitoring
Macroalgae biomass accumulation rate
To monitor the effect of the presence of invading bivalves on the biomass accumulation of the benthic primary producers (mostly macroalgae but also some periphyton), settlement plates were placed at each treatment (total of 48 plots, n = 16 localities) for 3–5 weeks. To account for seasonal differences in the algal accumulation rates, this experiment was repeated four times: Spring 2020, Fall 2020, and Spring 2021 (in Spring 2020 two experiments with 8 localities each were deployed and combined for the analysis see table S2 in Online Resource 1). Plates were made of 0.12 × 0.12 m plastic squares attached to the top of a four kg diving weight. Plastic netting was positioned over the plate to prevent grazing by large herbivores (see photo S3 in Online Resource 1). On retrieval, each plate was collected into a zip-lock bag and transferred in a dark cool box to the lab where it was drained and stored at − 20 °C until analysis.
To quantify the total algal biomass accumulation on each plate, chlorophyll-a was used as a proxy for the photosynthetic biomass. In the lab, the bulk of the algae biomass was scraped into a glass jar using a putty knife, the remaining material was removed using high-pressure jets of NaCl solution (Waterpik, Magic-Jet®, 40 g L−1 NaCl) and collected onto a glass fiber filter, GF/D 47 mm diameter (Whatman®). The scrapings and filter were extracted together with the Hot DMSO (Dimethyl Sulfoxide) method as described in Suari et al. (2019), with some modifications. Briefly, the GF/D filter and algae scraping were transferred to 40 mL EPA vials (Cat No: 9-105, Thermo Fisher Scientific®), eight mL DMSO was added to each vial, and the vials were tightly closed and incubated in the dark at 60 °C for 20 min. After cooling to room temperature, 16 mL of 90% buffer acetone was added to each vial, the vial was vigorously mixed using a vortex mixer and stored overnight in the dark at 4 °C. Chlorophyll-a fluorescence was measured using a calibrated fluorometer (either TD-700 or Trilogy, Turner designs®) equipped with a non-acidification Chlorophyll-a kit (Welschmeyer 1994).
Macroalga community (photographic survey)
To measure post-treatment shifts in the macroalgae community composition and account for seasonality, five photo-quadrat surveys were conducted in 2020 and 2021. Surveys were conducted only when sea conditions were permissive, and visibility allowed for high-quality photography (July 2020, August 2020, November 2020, December 2020, and May 2021). In each survey, a 0.3 × 0.3 m quadrat was placed on the central treatment plots and a set of photos was taken using an underwater camera (tough TG-5, Olympus®) with two adjustable lights (Sea Dragon 2500, SeaLife®). Unidentified algae were collected for identification by Dr. Alvaro Israel. Photo orientation and edges were adjusted using Faststone image viewer (Faststone soft®) and uploaded to a designated ‘source’ (https://coralnet.ucsd.edu/; source name: Algal composition Michmoret) in the CoralNet platform (Beijbom et al. 2015). A set of 100 points was randomly imposed on each photo and each point was categorized as substrate (rock and loose sediment), sessile invertebrates (phylum or class), or algae. Algae were categorized to the lowest taxonomic rank possible (mainly genus, see table S4 in Online Resource 1). Points where the photo was out of focus or too dark for identification, and points that fell on the quadrat frame, were excluded (median of 11 points per quadrat). Percent cover was calculated as the number of data points for each category divided by the total number of data points after excluding the unidentified points.
Invertebrate surveys
To measure post-treatment shifts in the invertebrate community composition, three surveys were performed 3, 7, and 12 months after the treatments (July 2020, November 2020, and April 2021). Unlike the low resolution of the large-scale surveys, the effect of the treatments was studied at the highest taxonomical level possible. All invertebrates larger than 0.5 cm in the main quadrat of each plot were counted and identified to the lowest taxonomic level possible (most at the species level, see summary table S5 in Online Resource 1). In addition to the detailed count-based survey, the percent cover of invertebrates was concurrently documented. For this, the point intercept method (PIM) was applied on a 0.3 × 0.3 m quadrat with a 3 cm grid (49 points), and invertebrates (> 1 cm) were classified to the class or phylum level (see table S6 in Online Resource 1).
Data analysis
Statistical analysis was carried out within the R programming language (version 4.1.1) in the Rstudio environment (version 1.4.1717, (R Core Team 2020)). Data are presented as the mean ± 95% confidence interval for the mean unless otherwise stated. The datasets generated and analyzed during the current study are available from the corresponding author upon request.
Distribution patterns of the invading bivalves
Percent cover was calculated for each transect as the number of data points listed for a category divided by the total number of points identified for that transect (normally 100). Abundances and size-frequency distributions were deduced using the method of Zvuloni and Belmaker (2016) which transforms point-intercept measurements into unbiased count-based indices. Based on the size of each individual and the configuration of the sampling unit (the number of points and distance between the points) an ‘effectively sampled area’ (ESA, m2) is calculated according to eq. 1 of Zvuloni and Belmaker (2016):
| 1 |
where ESAi is the effectively sampled area for organism i with a radius ri, k is the sampling point index along the line, n is the total number of sampling points, and U is the union of the areas of all n circles with radius ri along the transect line. ESAi is much larger for large individuals and smaller for small individuals, thereby correcting the inherent bias of the overrepresentation of larger organisms in standard point-sampling techniques. The density of an individual i encountered during a point intercept survey (PIM) can be calculated as 1/ESAi. For example, a single 5 cm bivalve spotted on a 10 m line with 0.1 m intervals will have an ESA of 0.196 m2 and hence a calculated density of 5.11 individuals m−2. The total density of a certain taxon was calculated for each transect as the sum of the calculated densities of all individuals from that taxon in the transect. For example, in a transect in which we encountered three bivalves with a diameter of 2, 5, and 8 cm, their respective ESAs would be 0.031, 0.196, and, 0.5 m2, and hence, their calculated densities (1/ESAi) would be 32, 5.1, and 2.0 individuals m−2, respectively, producing a total estimated density of 39.1 individuals m−2. The code (R script) for corrected density calculations is provided in Online Resource 2. Once the unbiased densities of each taxon were calculated for each transect, standard diversity indices could be calculated. Size-frequency distributions were not calculated for Brachidontes pharaonis because the majority of individuals were smaller than the minimum size threshold (1 cm) and for Malleus regula that were spotted only sporadically during the survey. Examples of the sampling form and data table used for the surveys can be found in (Diga 2022).
Effects of the presence of invading bivalves on the macroalgae community
Macroalgae biomass accumulation
Differences in macroalgae biomass accumulation (µg Chl-a m−2 day−1) between treatments and months were tested using Friedman non-parametric repeated measure ANOVA on log-transformed data since the macroalgae biomass accumulation did not meet the assumptions of normality and sphericity.
Macroalga community (photographic survey)
Bray–Curtis dissimilarities of the macroalgae community composition between treatments were calculated using log-transformed data (to provide a more balanced effect for the presence of rare taxa in the dissimilarity analysis) and visualized with nMDS ordination (we also tested non-transformed and presence/absence data, with similar results, data not shown). The statistical significance of the dissimilarities between treatments, months, and the interaction between treatments and months were tested with PERMANOVA (Anderson 2001). Dispersion of the dissimilarities between treamemts and months was tested with PERMDISP (Anderson et al. 2006). To analyze the contribution of different taxa to the difference between treatments and the similarity within treatments, a SIMPER procedure was used (Clarke et al. 2014). This procedure identifies the taxa that are likely to be the major contributors to any difference between treatments.
Taxa which accounted for at least 5% of the total cover in at least one of the months and the total algae cover were examined more closely using a Linear Mixed Effect (LME) model with the lme4 package (Bates et al. 2014) and tested for significance with lmerTest package in R. We used a repeated measure design with logit-transformed percent cover as the response variable, and treatment as the predictor. To account for values of zero and one in the data the smallest cover measurable (1%) was added to all values smaller than one or subtracted from values equal to one prior to logit transformation. the locality was used as a random effect (to account for the repeated measure nature of the design):
| 2 |
For taxa that were present in all months (turf and total algae), the month was added as an additional random effect in Eq. (2). Jania spp. was present only in three months, so the month was added as a categorical fixed effect in Eq. (2). We note that using this repeated measure design measurements of the same triplets at different dates (months) are not treasted as independent.
Effects of the presence of invading bivalves on the invertebrate community
The α-diversity indices (percent cover, richness, effective number of species, and the total number of individuals) for the benthic invertebrate community were calculated for each treatment plot and survey. Each parameter was fitted with General Linear Models (GLMs, as an extension of ANOVA with link functions as described below), using the `glmer` function in the lme4 package in R. The predictors were treatment and month while locality was used as a random effect in all models (to account for the repeated measure nature of the design):
| 3 |
A Poisson link function was used for count-based parameters (e.g., richness and number of individuals). For diversity and percent cover (logit transformed) the distribution family was Gaussian.
Bray–Curtis dissimilarities in the invertebrate community composition between treatments and months were calculated using log-transformed (to provide a more balanced effect for the presence of rare taxa in the dissimilarity analysis) and visualized with nMDS ordinations. The significance of treatments, months, and the interaction between treatments and months were tested with PERMANOVA. Dispersion of the dissimilarities between treamemts and months was tested with PERMDISP.
A multivariate dispersion index (MVDISP, Warwick and Clarke 1993) was calculated to compare the variability of the invertebrate community composition between the treatments in every survey. To provide a more balanced effect for the presence of rare taxa in the data a log transformation was applied prior to the Bray–Curtis dissimilarity analysis. The average dispersion was calculated for each treatment (group) and tested for significance between treatments and among months with GLM as described in Eq. (3) with a Gaussian distribution.
Results
Distribution patterns
The Israeli rocky subtidal zone was dominated by benthic algae throughout the year with percent covers reaching ~ 80%. Invertebrates accounted for 8 ± 1% of the coverage (mean ± 95% CI) and sponges, bryozoan, and invading bivalves contributed the most to the invertebrate cover (Fig. 2a). Invading bivalves were a prominent group that reached up to half of the invertebrate cover (Fig. 2a). No native bivalves were found in any of the 263 transects surveyed (total of over 2400 m).
Fig. 2.

a Contribution of taxonomic groups to the overall percent cover of invertebrates (bars at the right) and the percent cover of bivalve species (bars at the left) along the Israeli rocky subtidal zone calculated over all sites and depths during two seasons in 2019 (n = 196, 10 m transects). Error bars represent 95% confidence intervals of the overall mean percent cover. b Mean densities (± 95% CI) and, c mean shell length (± 95% CI) of invading bivalve species. No native bivalves were observed throughout the survey. n = 159 and 104, 10 m transects in spring and fall, respectively. Note that S. spinosus is a tentative identification and may contain specimens of C. pacifica (see methods for details)
The mean abundance of S. spinosus was 13 ± 6 individuals m−2 (± 95% CI) and 9 ± 4 individuals m−2 in spring and fall respectively, while B. pharaonis was observed in much higher densities during the fall (149 ± 91 individuals m−2) in comparison to the spring (75 ± 49 individuals m−2). M.regula was observed only during fall (Fig. 2b). The mean shell length of S. spinosus was 4.9 cm (Fig. 2c) and bivalves larger than 4 cm accounted for ~ 10% of the population (Fig. 3a). Small bivalves with a shell length of ~ 1 cm dominated the population during spring, whereas the size distribution of the bivalves surveyed in the fall was shifted to the right (Kruskal Wallis test, p = 0.75). The mean shell length of P. radiata was 1.8 ± 0.05 cm (Fig. 2c) and bivalves > 2 cm accounted for ~ 30% of the population (Fig. 3b). As for S. spinosus, the size-frequency distribution of P. radiata also shifted to the right in the fall surveys (Kruskal Wallis test, p = 0.22).
Fig. 3.

Size frequency distributions of a S. spinosus and b P. radiata in Spring and Fall 2019. Unbiased frequencies were calculated using the effectively sampled area of each size category (Zvuloni and Belmaker 2016). Note the different scales on the x-axis between a and b. For S. spinosus n = 78 and 84 observations for spring and fall, respectively. For P. radiata n = 31 and 12 observations for spring and fall, respectively
Effects of the presence of invading bivalve on the macroalgae community
Algae biomass accumulation
The total algal biomass accumulation on the plates ranged from 30 ± 5 to 140 ± 50 µg Chl-a m−2 day−1 (see table S2 in Online Resource 1). Biomass accumulation did not differ significantly between the treatments (see S7 in Online Resource 1) except for the poisoned treatment in spring 2020, which was significantly lower than both the removal and the control treatments (Friedman test, p = 0.04).
Macroalgae community composition
Percent cover of turf algae was 3–13% and 4–17% higher in the removal and poison treatments, respectively, compared to the control (depending on the month of the survey) and this difference was highly significant (Fig. 4, GLM test, p < 0.001, table S8 in Online Resource 1). An inverse pattern was observed for Cladophora spp. that covered significantly less area in both poison and removal treatments during July 2020 (Fig. 4, GLM test, p < 0.05, table S8 in Online Resource 1). No clear pattern was observed for other abundant macroalgal genera (those that accounted for at least 5% of the total cover), and the percent cover of all macroalgae was not significantly different between the treatments and the control (see S9 in Online Resource 1). Poison and removal treatments showed similar results suggesting that the difference from the control is likely due to the biological activity of the bivalves and not the physical presence of the shells.
Fig. 4.
Differences in percent cover of turf and the macroalgae Cladophora spp. between treatments and control along the succession in the plots (months of the survey). The differences between poison (blue) or removal (red) treatments from the control are shown. Note that Cladophora spp. was absent during some months. The black horizontal line represents the expectation for no treatment effects. Data are mean ± 95% CI over all five surveys. n = 16, 16, 16, 15 and 6 localities photographed in each month. Significance is represented by: ***p < 0.001, **p < 0.01, *p < 0.05 based on GLM test (see table S8 in Online Resource 1)
A total of 14 genera of macroalgae were observed during the five photographic surveys along with turf algae which were the most ubiquitous group in the plots (Fig. 5). Multivariate analysis of the algae community composition identified a small but statistically significant difference between the treatments and control (PERMANOVA, R2 = 0.025, F = 3.635, p < 0.01, see nMDS ordinations S10 in Online Resource 1). Significant differences were found between different months (PERMANOVA, F = 22.668, p < 0.001) but the interaction between the treatments and the month was not significantly different (PERMANOVA, F = 0.445, p = 0.993). Note that the dispersion between months was significant (PERMDISP, F = 11.043, p < 0.01) and the dispersion between treatments was not significant (PERMDISP, F = 1.564, p < 0.218). See tables S11 and S12 for detailed tables of PERMANOVA and PERMDISP analyses in the Online Resource 1. The overall dissimilarity (calculated by SIMPER procedure) between the poison and removal treatments to the control was small (26 and 27%, respectively, table S13 in Online Resource 1). Six taxa accounted for more than 95% of the dissimilarities, with turf algae contributing most of the dissimilarity between treatments.
Fig. 5.
Mean percent cover of macroalgae in three treatments, with the month of the survey in the upper x-axis. Colors represent the macroalgae taxa observed. Error bars are 95% CI of the total algae cover. n = 16, 16, 16, 15 and 6 localities photographed in each month
Effects of the presence of invading bivalves on the invertebrate community
A total of 49 taxa were observed during the three surveys (July 2020, November 2020, and April 2021). Treatment had no effects on most α diversity indices (Fig. 6 and GLM table S14 in Online Resource 1). The total number of individuals was significantly lower in the removal treatment compared to the control (Fig. 6). Significant seasonal changes were observed in both the number of individuals and the percent cover of all invertebrates combined (table S14 in Online Resource 1). Multivariate analysis of the invertebrate community composition (using Bray–Curtis similarity index on log-transformed data) did not identify significant differences between the treatments and control (PERMANOVA, F = 1.524, p = 0.053, see nMDS ordinations S15 in Online Resource 1). Significant differences were found between different months (PERMANOVA, F = 12.370, p < 0.001) but the interaction between treatments and month was not significantly different (PERMANOVA, F = 0.508, p = 0.997). Note that the dispersion between months was not significant (PERMDISP, F = 2.772, p = 0.063) and the dispersion between treatments was significant (PERMDISP, F = 7.511, p < 0.01). See tables S16 and S17 for detailed tables of PERMANOVA and PERMDISP analyses in the Online Resource 1. Multivariate dispersion index (MVDISP, Warwick and Clarke 1993) of the invertebrate community structure was higher in the removal treatment (0.52 ± 0.02) in comparison to the poison treatment (0.46 ± 0.03) and control (0.46 ± 0.02), indicating a more variable invertebrate assemblage.
Fig. 6.
α diversity of the invertebrate community in the experimental plots. Mean percent cover, the total number of individuals, richness, and Shannon–Wiener diversity (effective number of species transformation, D (H’)) during three surveys (July 2020, November 2020, and April 2021). Note the different y-axes. Colors represent the treatments: control (yellow), poison (blue), and removal (red). Error bars represent 95% CI. n = 16 localities in each survey (in April 2021 one quadrat of the percent cover in the poison treatment was not surveyed). No statistical significance was observed except for the number of individuals in the removal treatment (GLM test, see table S14 in Online Resource 1)
Discussion
In this study, we evaluated the current status of bivalves (native and invaders) inhabiting rocky outcrops along the Israeli Mediterranean coastline and assessed the impact of their presence on the nearby local benthic community several decades after the invasions. By using a large-scale SCUBA survey, we found that invading bivalves have become prominent on the rocky subtidal outcrops along the Israeli coastline. No native bivalve specimens were encountered during the study. Despite the high density of invading bivalves and their prominence along the rocky outcrops, our in-situ experiment showed no effect of exclusion of invading bivalves on the invertebrate community or the overall macroalgae biomass accumulation in their immediate vicinity. Bivalve exclusion did show a small but statistically significant effect on the community composition of the macroalgae. The results of this study suggest that the long-established populations of invading bivalves have negligible ecological impact on the benthic community in their immediate vicinity.
Replacement of native bivalves
The record of native bivalves inhabiting rocky habitats in the Israeli coastline and other areas in the Levantine basin is largely based on presence-absence data (Fishelson 2000; Crocetta et al. 2013). Reconstruction of the historical bivalve richness was recently made from death assemblages (Albano et al. 2021) but for most species, other than Brachidontes pharaonis and Mytilus galloprovincialis (Chintiroglou et al. 2004; Sará et al. 2008; Sarà et al. 2018, and references therein), no information is available regarding their ecological effects on the surrounding benthic communities. The last reports in the Israeli coastline of native species such as Mytilus galloprovincialis and Mytilaster minimus are from 2000 (Fishelson 2000) while Chama gryphoides was observed once in 2015 (R. Diga and R. Yahel, unpublished data) and recently in low numbers in northern Israel (see supplementary in Albano et al. 2021). Although Israel is within the distribution area of Spondylus gaederopus, only one live specimen was reported to date (Barash & Danin 1992). Burrowing bivalves such as Lithophaga are common (Rilov et al. 2018; Albano et al. 2021) but due to their cryptic nature, were outside the scope of this study.
The establishment of invading bivalve populations from the Indo-Pacific area in the Levantine basin started around 150 years ago and well-established populations of invading bivalves along the Israeli coastline have been reported for at least four decades (Mienis et al. 1993a, b; Galil 2008). Our results suggest that invading bivalves are currently a prominent group of the invertebrate community on the rocky subtidal outcrops of the Israeli coastline. No native bivalve specimen was encountered in over 150 dives conducted in this study. A similar absence of native species was reported by experts from the Steinhardt Museum of Natural History in similar surveys carried out between 2015 and 2017 as part of the INPA marine reserves monitoring program (R. Diga and R. Yahel, unpublished data). In some locations, invading bivalves accounted for half of the invertebrates cover and reached densities ranging from tens to hundreds of individuals m−2 for S. spinosus and B. pharaonis, respectively (Fig. 2). These findings corroborate previous reports from the Israeli coastline (Zurel et al. 2012; Shabtay et al. 2014; Rilov et al. 2018). An absence of native bivalves on rocky substrates was also reported for the Lebanese coastline (Crocetta et al. 2013), suggesting that the native bivalve fauna that inhabits the rocky substrate has been replaced by invading bivalves throughout the Levantine basin. It is still not clear whether invading bivalves outcompete native bivalves (Safriel and Sasson-Frostig 1988) or whether the disappearance of the native populations was driven by the dramatic change in conditions in the Levantine basin such as rising sea temperature, elevated salinity, and oligotrophication (Givan et al. 2018; Galil et al. 2021; Steger et al. 2021).
A previous study on the reproduction cycle of S. spinosus from this area suggested a spawning period during the summer months (Shabtay et al. 2015) while several species in the genus Spondylus were reported to settle 2–3 months after fertilization (Loor et al. 2016). The dominance of small individuals during the spring (Fig. 3, left-side) may imply that the recruitment time of S. spinosus occurs between late fall and early winter. The shift to larger individuals during fall for both S. spinosus and P. radiata (Fig. 3, right-side), may reflect an enhanced growth period between spring and fall when seawater temperature increases (Ozer et al. 2022) or mortality of small recruits.
Lack of small-scale effects of bivalves presence
There are numerous examples of dramatic changes following the establishment of invading bivalves but most of these examples are in soft-bottom environments (Higgins and Vander Zanden 2010; Strayer and Malcom 2018). In contrast, our exclusion experiment over hard substrate showed no measurable effect of bivalve presence on the invertebrate community in their immediate vicinity and only a small effect on the community composition of the macroalgae (Figs. 5, 6). This result was similar for both poisoning and removal treatments suggesting that the physical effect of the shell presence is small. Considering the high density and prominence of the invading bivalve populations on the rocky outcrops, the lack of strong effects of their presence (or exclusion) is surprising, especially considering the intense biological activity of these populations. For example, Amit et al. (unpublished data) estimated a filtration rate of several cubic meters of seawater per m2 per day1 and excretion rate of feces and pseudo-feces of tens of mg of organic matter per m2 per day1 for the Spondylus spinosus population alone.
Several environmental factors may mask the physical and biological effects of the exclusion of bivalves on the benthic community. The excreta of the invading bivalves (feces, pseudo-feces, and dissolved organic and inorganic matter) may be quickly dispersed by local currents and wave activity. Under low energy conditions, a concentration boundary layer depleted from phytoplankton and enriched with excreta is often formed above dense populations of suspension-feeding bivalves. In contrast, under high energy conditions (waves or currents) this boundary layer is quickly dissipated (Fréchette et al. 1989; Wildish and Kristmanson 1997; Ackerman and Loewen 2001). Similarly, waves and currents may also quickly disperse feces and pseudo-feces (Wotton and Malmqvist 2001). The Israeli coastline is impacted by relatively high waves and the annual closure depth (where wave activity affects sediment transport) is between 4.7 and 9.1 m (Bitan and Zviely 2020). Hence, the experimental plots positioned between 7 and 12 m were exposed to strong wave action and the resulting currents throughout the year. In this relatively high-energy environment, bivalve excreta are likely to be quickly dispersed to other areas (including adjacent treated plots), thereby masking the bivalve biological effects.
The macroalgae community at our study site is highly dynamic. High variability in percent cover was observed in different taxa, each showing a different seasonal pattern. The decrease of turf algae in the presence of invading bivalves and the increase in some seasonal algae (such as Cladophora spp., mostly during summer months), relative to the poison and removal treatments suggests that some algae may benefit from the biological activity of invading bivalves under natural conditions and in the presence of grazers. The similar biomass accumulation between treatments and control where grazing was prevented (by using fish excluders over the settlement plates) can be attributed to the small size of the plates that allowed only the growth of early stages of development and succession of the algae. The fish excluders hindered the growth of high-canopy and erect macroalgae that were present in the experimental plots under natural conditions.
Seasonal algae are fast-growing with high demands for nutrients (N and P, Pedersen and Borum 1996). Coupling between bivalves and specific macroalgae was observed both in mesocosms and in-situ experiments (Bracken and Nielsen 2004; Bracken 2004) with large macroalgae biomass increases when bivalves were present. Surprisingly, the effects of the bivalve exclusion we measured were small (< 20%, Fig. 4), suggesting that other factors, potentially the high grazing pressure induced by herbivorous fish, such as Siganus rivulatus and S. luridus, may set a strong top-down control on the macroalgae, masking the effects of the bivalve excreta. Since their introduction in the middle of the twentieth century, S. rivulatus and S. luridus have exerted heavy grazing pressure on the macroalgae community along the Mediterranean Israeli coastline (Yeruham et al. 2020). These rabbitfishes comprise up to 90% of the herbivorous fish and one-third of the total fish biomass in rocky habitats along the Israeli coastline (Lazarus et al. 2020 in preparation) and exert a continuous and relentless grazing pressure on the benthic algae community (Sala et al. 2011; Pickholtz et al. 2018; Yeruham et al. 2020). Sala et al. (2011) has shown that in rocky reefs in Turkey, these species can turn algal meadows into turf barrens. Despite the high abundance of grazers and subsequently the dominance of turf in the Levantine basin, the presence of invading bivalves may have beneficial effects on specific macroalgae which may increase the total algal biomass, diversity, and functionality.
The physical contribution of the bivalve shells was small. We found a slight, but statistically significant, increase in the total number of invertebrate individuals in the poison treatments compared to control, a pattern absent in the removal treatment (Fig. 6). In addition, we found a higher MVDISP index in the removal treatment compared to the poison and control. Since there was no specific pattern of species that settled in each of the treatment areas, these results may simply reflect the settling of invertebrates in the newly opened space of removal plots. In soft bottom sediments, bivalves increase complexity by stabilizing the sediment and forming 3D structures (Gutierrez et al. 2003). However, on the structurally complex rocky outcrops, the bivalve shells seem to have little impact on the invertebrate community. Bivalve shells and the addition of new hard substrate by secondary settlement create complex features that can serve as a potential niche for other benthic organisms and result in substantial changes in the benthic environment and the benthic communities (Gutierrez et al. 2003; Sousa et al. 2009). In comparison to soft-bottom habitats, the rocky subtidal outcrops of the Israeli coastline have a much higher level of complexity and include features such as overhangs, cracks, crevices, and vertical surfaces. In fact, the invading bivalves studied appear to be more abundant in these natural features which may supply protection from wave activity and abrasion by loose sediment. During the process of physical removal of the bivalves, we did not find evidence for the formation of "oyster reefs' or complex biogenic structures built from multilayered settlements of the bivalves. Thus, in contrast to previous reports and expectations, the shells of the bivalve seem to form only a temporary layer on the base rocks. Therefore, the physical contribution of the bivalve shells in these relatively complex environments may be less important, and the shell is less likely to serve as a new substrate for other sessile invertebrates. In rocky environments, the new substrate formed by invading bivalve shells seems to have little effect on the inveterate community since species that attach to bivalve shells can also attach to surrounding rocks.
Information on the ecological effects of native bivalves in the Mediterranean Sea is scant (Bateman and Bishop 2017) and suggest that the presence of bivalves (i.e., Mytilus galloprovincialis) can increase the abundance of specific groups of invertebrates such as polychaetes and crustacean (see Table 3 in Chintiroglou et al. 2004; Çinar et al. 2008). In the Levantine basin, only anecdotical evidence on the pre-invasion community are available, and a record of native bivalves (and of other native benthic species) distributions or ecological functions in the past is generally lacking. Therefore, without a baseline for comparison, we cannot conclude that the now-established invading bivalves have functionally replaced native species nor whether their populations have modified the ecological function of the rocky ecosystem in the Levantine basin relative to pre-invasion conditions. While we cannot go back and test the effects of the invading bivalves on the local communities during the invasion, the temporal component should not be ignored (e.g., Steger et al. 2021). Invading species may have ecological effects at any point after their introduction (Ricciardi et al. 2013) but their impact can change dramatically with time (Strayer et al. 2006). Time-related factors such as natural enemies accumulation, transportation of pathogens from native species, beneficial mutualism with local species or interference competition can alter the effects of the invaders over a long period of time (Strayer et al. 2006; Flory and D’Antonio 2015; Iacarella et al. 2015). It is possible that now, decades after the invasion, the direction, and size of the ecological effects of the invading bivalves are very different from the effects at the time of the invasion(s).
The current study adds new insights into the status of bivalves along the East Mediterranean coastline and especially on the current ecological effects of the presence of long-established invading populations. We found that invading bivalves have replaced native bivalves that inhabited the rocky substrates, yet their exclusion has no measurable effects on the nearby invertebrate community and only a small effect on the macroalgae community. However, our experimental design was limited in scope and does not allow informed predictions of the rate and nature of the benthic community shifts that may follow large-scale and long-term bivalve exclusion. Moreover, we did not survey the nocturnal benthic motile community, which includes detritivores (such as hermit crabs and sea cucumbers) that may benefit from the bivalve excretion of feces and pseudo-feces (Stewart and Haynes 1994; Ricciardi et al. 1997).
The unprecedented rate and magnitude of bio-invasions in marine coastal areas emphasizes the need to understand how and to what extent invading species impact their new environment at different time scales. Most studies focus on the occurrence of new invading species but much less effort has been devoted to the study of ecological effects subsequent to the invasion (Ricciardi et al. 2013; Watkins et al. 2021), especially through manipulative experiments (Katsanevakis et al. 2014). Our study examined the ecological effects of the presence of an invading bivalve community decades after its establishment and showed that their exclusion has a negligible small-scale (~ 1 m) effects on the nearby benthic community. While our results do not preclude potential large-scale (~ 100 s m) effects, they stress the need for long-term ecological assessment of the role of invading species in the local ecosystem.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
We thank Dr. Ruthy Yahel and the marine rangers of the Israeli Nature and Parks Authority (INPA); the staff and students of the Faculty for Marine Science at the Ruppin Academic Center; the Yahel and Belmaker lab members for their help in the SCUBA surveys; Dr. Israel Alvaro for help with the identification of macroalgae; Reuben Rosenblat, Shira Boneh, and the teams of the Ruppin Scientific Diving Center and the Michmoret Sailing Club for help with work at sea; Noga Gavrieli, Ayelet Hallakoun, and Hila Anteby for help with the algal accumulation rate experiments. This work was funded by a grant from an anonymous philanthropic fund to the INPA, ISF Grant 249/21, and BSF Grant BSF-NSF Grants 2012089 and 2017622 to GY.
Author contributions
All authors contributed to the study's conception and design. Material preparation and data collection were performed by RD, MG, RM, ND, GY, and TA. Analysis was performed by RD, JB, and GY. The first draft of the manuscript was written by RD, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Funding
This work was funded by a grant from an anonymous philanthropic fund to the INPA, ISF Grant 249/21, and BSF Grant 2012089 to GY.
Data availability
The datasets generated and analyzed during the current study are available from the corresponding author upon request.
Declarations
Competing interests
The authors have no relevant financial or non-financial interests to disclose.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during the current study are available from the corresponding author upon request.




