Northeastern Naturalist Vol. 22, Monograph 12
T.G. Gerwing, A.M. Allen Gerwing, D. Drolet, M.A. Barbeau, and D.J. Hamilton
2015
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2015 NORTHEASTERN NATURALIST
Spatiotemporal Variation in Biotic and Abiotic Features
of Eight Intertidal Mudflats in the Upper Bay of Fundy,
Canada
Travis G. Gerwing1,*, Alyssa M. Allen Gerwing1, David Drolet2,
Myriam A. Barbeau1, and Diana J. Hamilton2
Abstract - We examined biotic and abiotic variables on the expansive intertidal mudflats
of the upper Bay of Fundy, Canada, at 8 geographically separate sites over 2 years
(2009–2011). Invertebrate density, surface density of primary producers (mainly diatoms,
measured as chlorophyll-a concentration), shorebird- and fish-foraging activity, and sediment
properties varied considerably through time and space. Dissimilarity in the invertebrate
community between consecutive sampling rounds was lower during peaks in density
and richness (June–August) than during periods of low density and richness (December–
March). All but one site located within Chignecto Bay (one arm of the upper Bay of Fundy)
had similar invertebrate communities; sites within the Minas Basin (the other arm of the
upper Bay) had more distinct communities compared to Chignecto Bay mudflats. The amphipod
Corophium volutator, Copepoda, Ostracoda, and the polychaetes Phyllodocidae and
Spionidae were usually main contributors to observed community differences over space
and time. Although our sites are all silt-dominated mudflats, mean particle size, sediment
penetrability, and depth to the apparent redox discontinuity potential (aRDP, a measure of
sediment-oxygen content) were usually main contributors to site differences in sediment
conditions. However, when we pooled samples over sites and sampling rounds, percent
water content and percent organic-matter content accounted for the majority of the variation
in sediment properties, likely reflecting within-site patchiness. Such quantification of
spatiotemporal patterns in biotic and abiotic variables is an essential first step in the development
of predictive models or the design of manipulative experiments to investigate
ecological relationships.
Introduction
Intertidal mudflats in the Bay of Fundy support a highly abundant and relatively
diverse assemblage of infaunal species (Drolet et al. 2009, Featherstone and Risk
1977, Wilson 1988). Infaunal densities greater than 200,000 individuals m-2 are
possible due to highly productive populations of benthic diatoms that form the base
of this food web (Hargrave et al. 1983, Trites et al. 2005). Diatom production is
supplemented by high inputs of detritus, likely from local saltmarshes (Gordon et
al. 1986, 1987; Stuart et al. 1985), further enhancing the productivity of this system
(Hargrave et al. 1983). Additionally, this system maintains a diverse group of epibenthic
predators such as benthic fish (McCurdy et al. 2005, Risk and Craig 1976),
1Department of Biology, University of New Brunswick, Fredericton, NB, Canada, E3B 5A3.
2Department of Biology, Mount Allison University, Sackville, NB, Canada, E4L 1G7. *Corresponding
author - t.g.gerwing@gmail.com.
Manuscript Editor: Trevor Avery
22(Monograph 12):1–44
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2015 Vol. 22, Monograph 12
Nassarius obsoletus (Say) (Eastern Mudsnail; Coffin et al. 2012), and shorebirds
(Hicklin 1987, Hicklin and Smith 1984).
The intermediate level of organismal diversity of the intertidal-mudflat community
is ideal for quantifying and understanding ecological interactions; however,
spatiotemporal dynamics of this system in the upper Bay of Fundy are understudied.
Most relevant Bay of Fundy studies have focused on a few key residents or visitors,
such as the amphipod Corophium volutator (Pallas) (e.g., Drolet and Barbeau
2012), Eastern Mudsnail (Coffin et al. 2012), and Calidris pusilla (L.) (Semipalmated
Sandpiper; e.g., Hamilton et al. 2006). Moreover, the spatiotemporal variation of
mudflat-sediment properties in this region (particle size, percent water, and organic
content, etc.) is mostly unreported. Therefore, the goal of our study was to quantify
how biotic and abiotic variables varied through space and time, and determine
which of these variables contributed most to community and environmental patterns.
This study provides the foundation for a companion paper that quantifies the
relative importance of biotic and abiotic variables to infaunal population densities
and community dynamics on intertidal mudflats (T.G. Gerwing et al., unpubl. data).
Methods
Study sites
We conducted our study on intertidal-mudflat sites in the 2 arms (Chignecto Bay,
Minas Basin) of the upper Bay of Fundy, Canada (Fig. 1; see supplemental Table S1
in Supplemental File 1, available online at https://www.eaglehill.us/NENAonline/
Figure 1. Study sites (i.e., intertidal mudflats) in the Bay of Fundy, Canada. Site names are
Starrs Point (SP), Avonport (AV), Moose Cove (MC), Minudie (MN), Pecks Cove (PC),
Grande Anse (GA), Daniels Flats (DF), and Mary’s Point (MP).
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suppl-files/n22-4-N1354-Gerwing-s1). We sampled 8 mudflats: 5 in Chignecto
Bay (Mary’s Point [MP], Daniels Flats [DF], Grande Anse [GA], Pecks Cove [PC],
and Minudie [MN]), and 3 in the Minas Basin (Moose Cove [MC], Avonport [AV],
and Starrs Point [SP]). We selected these sites because they represent large, siltdominated
intertidal mudflats, reported to be visited by Semipalmated Sandpipers
in the past, and they cover the extent of the upper Bay of Fundy (Gerwing et al.
2013, Hicklin et al. 1980, Yeo 1977).
Mudflat sampling
Fauna. We sampled mudflats over 2 years (2009–2011) every 3 weeks between
June and August, and every 6–8 weeks between October and May (Gerwing et
al. 2013). We sampled 2 randomly chosen mudflats per day, during the period 3
h before to 3 h after low tide; all mudflats were sampled within a 5-d period for a
given sampling round (the date indicated in our figures represents the first day of
a sampling round). Sampling rounds occurred at approximately the same time each
year (±1 week). We established 2 transects at each mudflat, running perpendicular
to the low-water line and located 700–1000 m from each other, depending on the
along-shore length of the mudflat. Transects were 700–1800 m long (depending
on the across-shore length of the mudflat) from the shoreward start of the mudflat
to the highest low-tide line. We divided the transects into 4 equal zones based on
distance from shore, for random stratified sampling.
For mudflat infauna, we randomly selected 3 sampling plots of 1 m2 per zone,
for a total of 12 plots per transect (n = 22–24 per site, 3070 total). At each plot, we
pushed a 7-cm-diameter corer into the sediment as deep as possible—about 5–10
cm until hard bottom or the end of the corer was reached. Within 12 h of collection,
we passed the samples through a 250-μm sieve to retain all life stages of benthic
macrofauna (see Crewe et al. 2001 with regard to Corophium volutator), as well as
large meiofauna, and preserved them in 95% ethanol. We later sorted the preserved
samples, and identified and counted invertebrates under a dissecting microscope.
We quantified densities of C. volutator, Macoma spp.—M. balthica (L.) (Hicklin et
al. 1980) and/or M. petalum (Valenciennes) (Nikula et al. 2007)—Copepoda (identified
to subclass, mostly from the order Harpacticoida), Ostracoda (identified to
class), and Polychaeta (identified to family). We counted Eastern Mudsnails in the
1-m2 plots in situ.
Other biotic variables. For each plot, we determined the concentration of chlorophyll
a, an indicator of diatom abundance, in the top 2–3 mm of sediment as
described in Coulthard and Hamilton (2011). We also quantified the proportion
of the 1-m2 plot covered in shorebird footprints, predominantly Semipalmated
Sandpipers, in July–August. This variable is an indication of sandpiper-habitat
use (MacDonald et al. 2012, Robar and Hamilton 2007), and a good measure of
foraging activity within the plot because sandpipers spend the majority of their
time foraging while on the mudflats (MacDonald et al. 2012). We also counted fishfeeding
traces (termed fish bites) within each plot. See Risk and Craig (1976) and
McCurdy et al. (2005) for images of fish bites and identification criteria.
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Sediment properties. In each plot, we assessed sediment penetrability by dropping
a metal rod (15 cm long, 1.9 cm diameter, 330 g) from a 0.75 m above the
substratum (i.e., distance from the top of the rod to the top of the mudflat surface)
and recording the depth that the rod (mm) penetrated into the sediment (Kennedy
2012). We developed this meathod as an index of how easily water and biota would
be able to penetrate into the sediment. We measured depth of the apparent redox
potential discontinuity (aRPD), an index of sediment dissolved oxygen content
(Gerwing et al. 2015a), to the nearest 0.5 cm in the void left in the sediment following
removal of the 7-cm-diameter core (for infaunal sampling) in each plot, as
described in Gerwing et al. (2013).
To determine additional sediment properties, we collected 1 sediment sample
from each zone using a 5-cm-long x 3-cm-diameter corer (n = 6–8 per site, 1021
total). We separated and weighed the top 1 cm of each core, placed the samples in a
drying oven at 110 °C for 12 h, and weighed them again before temporary storage
in a desiccator. We calculated percent water-content as:
(mass wet sediment – mass dry sediment) / (mass wet sediment) x 100
We ashed dry sediment samples in a muffle furnace at 550 °C for 4 h and weighed
the products; percent organic content was calculated as:
(mass dry sediment – mass of ashed sediment) / (mass of dry sed iment) x 100
We then determined volume-weighted mean particle-size of the sediment for each
sample using a Malvern Mastersizer 2000 (www.malvern.com); particle size was
measured in triplicate and a mean value per sample was calculated (Rodriguez
2005, Savoie 2009).
Data analysis
We used the statistical program PRIMER with the PERMANOVA (Permutational
Multivariate Analysis of Variance) add-on (McArdle and Anderson 2001) to
examine how the mudflat-invertebrate community and sediment conditions varied
over space and time. In our analyses, we set α = 0.05 to indicate significance. The
invertebrate community was comprised of 1 epifaunal species (Eastern Mudsnail),
and the following infaunal taxa: Macoma spp., C. volutator, Copepoda, Ostracoda,
and Polychaetes (Capitellidae, Spionidae, Cirratulidae, Maldanidae, Nereididae,
Nephtyidae, Phyllodocidae, Glyceridae, Goniadidae, and Orbiniidae; densities of
Goniadidae and Orbiniidae are not presented graphically because these polychaetes
were very rare). For this community, we calculated a resemblance matrix using
Bray-Curtis coefficients (Clarke et al. 2006). We added a dummy variable of 1,
which was considered a “dummy species” in the analysis, so that we could include
plots with density values of zero (Clarke and Gorley 2006). Data were fourth-root
transformed (x1/4) to improve assessment of effects of rare and common taxa on
community structure. In the PERMANOVA, site (8 levels), round (8 levels), and
year (2 levels) were fixed factors; transect (2 levels) nested within site, and plot
(the error term) were random factors. Due to a significant 3-way interaction between
fixed factors (site x round x year), we conducted a separate PERMANOVA
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for each year. There was a significant site x round interaction in both years; thus,
we conducted a PERMANOVA for each site separately as a posthoc analysis to
assess site-specific temporal dynamics. We employed a sequential Bonferroni-type
P-value correction (Benjamini and Hochberg 1995). We analyzed chlorophyll-a
concentrations with a PERMANOVA with no data transformation, a resemblance
matrix calculated using Euclidean distances, and factors as above. We handled
significant 3-way (site x round x year) and 2-way (site x round) interactions in the
same way as the invertebrate PERMANOVA. We did not conduct PERMANOVAs
on sandpiper footprints or fish bites because these indicators were highly scattered
in time and space.
For the PERMANOVA on sediment properties, we normalized variables (mean
particle size, percent water content, percent organic-matter content, aRPD depth,
and sediment penetrability) before analysis, and calculated the resemblance matrix
using Euclidean distances. As above, site (8 levels), round (8 levels), and year (2
levels) were fixed factors. We did not include transect as a random factor because
sediment cores (one per zone) were collected far apart (82–806 m) from one another
and preliminary analysis indicated abiotic conditions did not vary by transect
(P > 0.1). We evaluated significant 3-way (site x round x year) and 2-way (site x
round) interactions in the same way as for the invertebrate PER MANOVA.
We employed non-metric multidimensional scaling (MDS, 100 restarts) graphs
to visualize both invertebrate-community composition and sediment conditions at
our study sites over 2 years. Points closer together on the MDS graphs represent
sampling plots with a biotic community or set of abiotic conditions more similar
than points for sampling plots further apart. Overlaid vectors represent the correlations
(Pearson correlation coefficients) between taxa or sediment variables and
MDS axes. All MDS graphs had a stress less than 0.2, and so we considered them a good
2-dimensonal representation of higher dimensional trends (Clark e 1993).
We used SIMPER (similarity percentages; Clarke 1993, Clarke and Ainsworth
1993) to identify the contribution of each variable (biotic or abiotic) to significant
spatiotemporal differences. Also, we calculated the ratio of each variable’s average
dissimilarity to the standard deviation of dissimilarities (Diss/SD) for biota, or
average squared Euclidean distance to the standard deviation of squared distances
(Sq.Dist/SD) for sediment properties. These values represent how consistently
each variable contributed to observed differences; variables with a ratio greater
than 1 consistently contributed to the difference, whereas those with a value below
1 did not. Herein, we report SIMPER results for difference both between sites and
between sampling round for invertebrate-community change. For the sediment
SIMPER analysis we present only inter-site results; we do not provide inter-round
results because the magnitude of the difference was relatively small and, in some
cases, not significant. Finally, we performed a distance-based redundancy analysis
(dbRDA) on the sediment properties. This method uses principal-component ordination
to create a series of axes, in this case composed of our sediment variables,
to represent our sediment environment independent of site and time (Clarke and
Gorley 2006, McArdle and Anderson 2001).
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Results and Discussion
Invertebrate community
The invertebrate community on intertidal mudflats in the upper Bay of Fundy
varied significantly through space and time (Table 1). Although substantial variation
existed, richness and invertebrate density (total and taxon-specific) tended to
peak in July–August, decrease from October through March or May (depending
on the taxon), and then rise again (Figs. 2–13; see supplemental Figs. S1–S5 in
Supplemental File 1, available online at https://www.eaglehill.us/NENAonline/
suppl-files/n22-4-N1354-Gerwing-s1). To the best of our knowledge, this is the first
Table 1. PERMANOVA results investigating whether the invertebrate community (resemblance matrix
calculated from 4th-root–transformed density data) varied through space and time on intertidal
mudflats in the Bay of Fundy during 2009–2011. * = significant and interpretable P-values of fixed
effects. Due to a significant 3-way interaction (site x round x year, pseudo-F = 2.1, P = 0.001); the
analysis was conducted by year. Multiple comparisons to determine if each site varied over time (site
x round interaction) were interpreted with P values corrected using a sequential Bonferroni-type adjustment.
See Figure 1 for site names associated with site code s.
Source of variation df MS Pseudo-F Unique permutations P
2009–2010
Site 7 102,870 21.7 997 0.001
Season 7 20,625 22.9 997 0.001
Site x Season 49 3533 3.9 998 0.001*
SP 7 20,625 22.9 997 0.001*
AV 7 8120 4.4 997 0.003*
MC 7 9520 9.1 999 0.004*
MN 7 3247 5.0 999 0.005*
PC 7 3222 4.1 999 0.006*
GA 7 7100 8.7 999 0.008*
DF 7 3289 7.9 998 0.009*
MP 7 4590 7.4 998 0.01*
Transect (Site) 8 4739 6.4 999 0.001
Season x transect (Site) 56 900 1.2 997 0.017
Residual 1406 743
2010–2011
Site 7 122,540 32.4 999 0.001
Season 7 16,100 17.0 998 0.001
Site x Season 49 2359 2.5 996 0.001*
SP 7 1690 3.8 998 0.0001*
AV 7 3299 2.7 997 0.0003*
MC 7 5953 4.6 999 0.0004*
MN 7 7132 4.2 998 0.0005*
PC 7 5333 13.7 999 0.0006*
GA 7 2570 4.7 999 0.0008*
DF 7 3613 4.8 999 0.002*
MP 7 3024 2.4 997 0.018*
Transect (Site) 8 3782 5.7 999 0.001
Season x transect (Site) 56 949 1.4 997 0.001
Residual 1408 1000
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Figure 2. Mean (± SE; n = 22–24 plots per site) taxa richness in the invertebrate community on mudflats in the upper Bay of Fundy in
2009–2011. See Figure 1 for site names that correspond to codes given i n figure.
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Figure 3. Mean (± SE; n = 22–24 plots per site) Nassarius obsoletus (= Ilyanassa obsoleta) (Eastern Mudsnail) density on mudflats in the
upper Bay of Fundy in 2009–2011 (see Fig. 1 for site names that correspond to codes given in figure). This species is an obligate omnivore,
capable of predation and deposit feeding (Coffin et al. 2012, Cu rtis and Hurd 1979, Drolet et al. 2009).
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Figure 4. Mean (± SE; n = 22–24 cores per site) density of Macoma spp. (M. balthica and/or M. petalum) on mudflats in the upper Bay of
Fundy in 2009–2011 (see Fig. 1 for site names that correspond to codes given in figure). These clam species are mostly sessile, facultative
deposit- and suspension-feeders (Rossi et al. 2004, Word 1979).
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Figure 5. Mean (± SE; n = 22–24 per site) Copepoda density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site names
that correspond to codes given in figure). Copepods (mostly from the order Harpacticoida) are likely acting as deposit feeders (Buffan-
Dubau and Carman 2000).
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Figure 6. Mean (± SE; n = 22–24 per site) Ostracoda density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site names
that correspond to codes given in figure). Ostracods are likely acting as filter feeders and deposit feeders (Buffan-Dubau and Carman 2000).
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Figure 7. Mean (± SE; n = 22–24 per site) density of the amphipod Corophium volutator on mudflats in the upper Bay of Fundy in 2009–
2011 (see Fig. 1 for site names that correspond to codes given in figure). C. volutator is a mobile, facultative suspension- and deposit-feeder
(Møller and Riisgård 2006).
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Figure 8. Mean (± SE; n = 22–24 per site) Capitellidae density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site
names that correspond to codes given in figure). Capitellids are mostly sessile polychaetes that act as a subsurface deposit-feeder (Fauchald
and Jumars 1979, Jumars et al. 2014, Pagliosa 2005).
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Figure 9. Mean (± SE; n = 22–24 per site) Cirratulidae density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site
names that correspond to codes given in figure). Cirratulids are mostly sessile polychaetes capable of both suspension and deposit feeding
(Fauchald and Jumars 1979, Pagliosa 2005). Deposit feeding may be at the sediment surface or subsurface (Jumars et al. 2014).
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Figure 10. Mean (± SE; n = 22–24 per site) Spionidae density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site
names that correspond to codes given in figure). Spionids are mostly sessile polychaetes capable of both suspension and deposit feeding
(Fauchald and Jumars 1979, Jumars et al. 2014, Pagliosa 2005).
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Figure 11. Mean (± SE; n = 22–24 per site) Phyllodocidae density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site
names that correspond to codes given in figure). Phyllodocidae are mobile omnivorous polychaetes, capable of deposit feeding on detritus
and diatoms, as well as predation (Fauchald and Jumars 1979, Ju mars et al. 2014, Pagliosa 2005).
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Figure 12. Mean (± SE; n = 22–24 per site) Nereididae density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site
names that correspond to codes given in figure). Nereids are mobile polychaetes with varied foraging strategies. They are omnivores that
can act as detritivores or predators, as well as suspension and deposit feeders (Fauchald and Jumars 1979, Jumars et al. 2014, Pagliosa
2005, Scaps 2002).
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Figure 13. Mean (± SE; n = 22–24 per site) Nephtyidae density on mudflats in the upper Bay of Fundy in 2009–2011 (see Fig. 1 for site
names that correspond to codes given in figure). Nephtyidae are mobile polychaetes that are omnivorous predators, and are also capable of
deposit feeding (Caron et al. 2004, Fauchald and Jumars 1979, J umars et al. 2014, Pagliosa 2005).
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study that quantifies the densities of these animals, especially the polychaetes, over
such a broad spatiotemporal scale in this region. Early spatiotemporal studies of
intertidal mudflats in the upper Bay of Fundy such as those by Yeo (1977), Gratto
(1979), Hicklin et al. (1980), and Wilson (1988) are useful, but each focused on
either the Minas Basin or Chignecto Bay and had a smaller temporal extent. In our
study, despite the observed spatiotemporal variation (Figs. 2–13; see supplemental
Figs. S1–S5 in Supplemental File 1, available online at https://www.eaglehill.us/
NENAonline/suppl-files/n22-4-N1354-Gerwing-s1), most sites within Chignecto
Bay (MN, PC, DF, MP) tended to cluster together on the MDS graph (Fig. 14).
GA, SP, AV, and MC tended to group separately from other sites, as well as each
other (Fig. 14). This spatiotemporal variation in community composition, richness,
and population density could be a result of interspecific interactions (Cheverie et
al. 2014, Fraser et al. 2006, Hamilton et al. 2006, Heck and Valentine 2007), intraspecific
interactions (Drolet et al. 2013a, Jensen and Kristensen 1990, Skilleter
and Peterson 1994, Wilson 1989), as well as interactions between the biota and
the physical environment (Coelho et al. 2013, Levinton and Kelaher 2004, Meadows
1964, Silva et al. 2006, Sturdivant et al. 2012). A recent analysis focusing on
factors associated with this infaunal variation indicated that although predation,
resource availability, and certain abiotic sediment factors were significantly related
to community patterns, they accounted for only a small part of infaunal-community
variation across space and time (T.G. Gerwing et al., unpubl. data). Structural factors
such as site and plot accounted for the majority of the community variation,
which suggested that processes such as hydrodynamics, larval supply, and postsettlement
dispersal may be important (T.G. Gerwing et al., unpubl. data).
Percent dissimilarity, calculated as community change between successive sampling
rounds, was relatively high all year (25–65%; Fig. 15). However, a temporal
pattern in percent dissimilarity was present, with less variability over time during
periods when densities and richness were high or increasing (June–August). In
contrast, when density and richness were low or decreasing (December–March), the
community varied more over time. This pattern reflects the fact that during annual
density peaks, most taxa were present at all sites and in relatively high densities;
accordingly, percent dissimilarity over time was relatively low (25–45%; Fig. 15).
However, as winter approached and progressed, density and richness decreased,
likely a result of decreasing photoperiod (Lindqvist et al. 2013, Williams et al.
2013), effect of winter stressors (Gerwing et al. 2015b), and depletion of internal
energy reserves (Drolet et al. 2013b). This decrease in invertebrate density resulted
in increased variation in community composition over time, and a correspondingly
higher percent dissimilarity (45–65%; Fig. 15).
Our results regarding temporal patterns showed that the contribution of each
taxon to community differences between sequential sampling rounds varied
among years, time of year, and site (Appendix 1, Fig. 14). The contribution was
partly dependent on actual abundances. For instance, Cirratulidae contributed
substantially to between-round differences at SP and AV (9–20%), where densities
were high (Fig. 9, Appendix 1). At sites where its density was low, Cirratulidae
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Figure 14. Non-metric
multidimensional scaling
(nMDS) graphs of the
invertebrate-community
composition (4th-root
transformed density data)
of 8 intertidal mudflats in
the upper Bay of Fundy
and 8 sampling rounds per
year over 2 years (2009–
2011). Each symbol represents
an average per site
and round. 1 = early June,
2 = late June, 3 = mid-
July, 4 = early August,
5 = late August/early September,
6 = October, 7 =
December, and 8 = March
(for more precise dates,
see Fig. 2). See Figure 1
for site names that correspond
to codes given
in figure. Vector overlays
beneath the MDS graphs
represent correlations
between taxa and MDS
axes. The vector of each
taxon shows the direction
of increased density
across the MDS graph.
Only correlations > 0.3
are shown.
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Figure 15. Percent dissimilarity (SIMPER results) between consecutive pairs of sampling rounds for the invertebrate community (4th-root
transformed density data) at 8 intertidal mudflats in the upper Bay of Fundy in 2009–2011 (See Fig. 1 for site names that correspond to
codes given in figure). Each symbol represents an average per site and round. 1 = early June, 2 = late June, 3 = mid-July, 4 = early August,
5 = late August/early September, 6 = October, 7 = December, and 8 = March (for more precise dates, see Fig. 2). See Figure 1 for site names
that correspond to codes given in figure.
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contributed little to community differences (less than 2% at MN and PC). Despite the
variation, C. volutator, Copepoda, Ostracoda, and Spionidae were usually among
the largest and most-consistent contributors to inter-round community differences
(Appendix 1), suggesting that these taxa experienced greater seasonal variation
than others. We speculate that these taxa may respond more strongly to seasonal
cues than other taxa, therefore, varying more over a year. The contribution by Nephtyidae,
Nereididae, Phyllodocidae, Capitellidae, Cirratulidae, and Macoma spp.
was less consistent. These taxa accounted for a moderate to high percent of the
temporal community differences at some sites (especially where they had relatively
high densities), but were minor contributors at other sites. The polychaetes Maldanidae,
Glyceridae, Orbiniidae, and Goniadidae never accounted for a substantial
amount of the community differences. The Eastern Mudsnail was a fairly consistent
contributor of small to moderate amounts of the temporal community differences,
especially during mid-summer to mid-fall.
In terms of spatial patterns, the contribution of each taxon to community differences
between pairs of sites was also variable (Appendix 2, Fig. 14). Despite the
variation, C. volutator, Copepoda, Ostracoda, Spionidae, and Phyllodocidae were
usually main and consistent contributors. Gerwing et al. (2015b) observed that
these species also accounted for the majority of over-winter community change
on the mudflats. Goniadidae, Glyceridae, Maldanidae, and Orbiniidae were negligible
contributors. The contributions from the remaining taxa were less consistent,
with higher values corresponding to sites with higher abundances of that taxon. A
previous analysis of infaunal-community structure at different mudflat sites, but
focussing on microhabitats (i.e., inside and outside tide pools at 3 [DF, GA, and
PC] sites in Chignecto Bay) at 1 sampling time (June), revealed that C. volutator
was again a primary contributor (Drolet and Barbeau 2009).
Other biotic variables
Chlorophyll-a concentration, an indicator of primary-producer standing crop at
the mudflat surface, varied through space and time (Table 2). In general, concentrations
tended to peak in July–August and reach a low level October–December
(Fig. 16). These annual cycles are likely strongly influenced by nutrient availability,
temperature, and photoperiod (Admiraal et al. 1982, Hargrave et al. 1983, Scholz
and Liebezeit 2012, Trimbee and Harris 1984).
Fish bites, evidence of fish-feeding activity on the benthic infauna (McCurdy
et al. 2005, Risk and Craig 1976), varied considerably between sites, years and
seasons; however, mean density of fish bites was low (see Supplemental File 1,
see supplemental Fig. S4 in Supplemental File 1, available online at http://www.
eaglehill.us/NENAonline/suppl-files/n22-4-N1354-Gerwing-s1). In general, we
observed more fish bites during June–August than October–March, and more in
2009–2010 than in 2010–2011. Finally, we observed sandpiper footprints in our
August sampling (see supplemental Fig. S5 in Supplemental File 1, available online
at https://www.eaglehill.us/NENAonline/suppl-files/n22-4-N1354-Gerwing-s1).
Semipalmated Sandpipers visit the upper Bay of Fundy for a short, intense time
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during August (Bart et al. 2007, Hicklin and Smith 1984), but within that period we
observed variation among sites and years.
Sediment properties
Sediment properties of the Bay of Fundy mudflats varied through space and time
(Table 3, Figures 17–20; aRPD-depth patterns are available in Gerwing et al. 2013).
Although the sediment environment varied significantly over time at most sites, it
remained consistent at DF in both years and at MP in 2010–2011 (Table 3). Overall,
several temporal patterns of variation were apparent. Volume-weighted mean
particle-size fluctuated between peaks and troughs annually; however, the timing
Table 2. PERMANOVA results investigating whether chlorophyll-a concentration in the top 2–3 mm
of sediment varied through space and time on intertidal mudflats in the Bay of Fundy in 2009–2011.
* = significant and interpretable P-values of fixed effects. Due to a significant 3-way interaction (site
x round x year: pseudo-F = 9.1, P = 0.001), the analysis was conducted by year. Multiple comparisons
to determine if each site varied over time (site x round interaction) were interpreted with P-values
corrected using a sequential Bonferroni-type adjustment. See Figure 1 for site names that correspond
to codes given in the table.
Source of variation df MS Pseudo-F Unique permutations P
2009–2010
Site 7 4066 91.2 999 0.001
Round 7 4986 116.9 999 0.001
Site x round 49 1192 27.9 998 0.001*
SP 7 904 10.4 998 0.0001*
AV 7 9098 94.5 999 0.0003*
MC 7 2494 15.2 999 0.0004*
MN 7 73 11.0 993 0.0005*
PC 7 77 8.6 997 0.0006*
GA 7 268 14.2 998 0.0008*
DF 7 96 13.2 997 0.0009*
MP 7 313 31.3 998 0.001*
Transect (site) 8 45 0.89 998 0.535
Round x transect (site) 56 43 0.85 999 0.79
Residual 1406 50
2010–2011
Site 7 1623 16.5 998 0.001
Round 7 1954 26.3 999 0.001
Site x round 49 265 3.6 997 0.001*
SP 7 903 18.5 998 0.0001*
AV 7 1641 11.5 998 0.0003*
MC 7 413 13.7 997 0.0004*
MN 7 124 11.4 996 0.0005*
PC 7 77 7.8 995 0.0006*
GA 7 312 22.0 989 0.0008*
DF 7 94 4.5 997 0.0009*
MP 7 248 6.5 996 0.001*
Transect (site) 8 99 2.6 999 0.006
Round x transect (site) 56 74 2.0 999 0.001
Residual 1408 38
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Figure 16. Mean (± SE; n = 16–24 cores per site) chlorophyll-a concentration of the top 2–3 mm of sediment on mudflats in the upper Bay
of Fundy in 2009–2011 (See Fig. 1 for site names that correspond to codes given in figure). Chlorophyll-a concentration is an indicator of
the density of photosynthetic diatoms and bacteria in the sediment (Coulthard and Hamilton 2011, Hargrave et al. 1983, Trites et al. 2005).
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of the peak and the magnitude varied between site and year (Fig. 17). Percent water
and organic-matter content of sediments tended to be higher in the spring/summer
(June–August) than winter (October–March) (Figs. 18, 19); however, this pattern
varied. At some sites, organic-matter content peaked during or after winter (December–
March). This result might be due to seasonally low densities of deposit feeders
which consume organic matter, resulting in an accumulation of organic matter over
winter (Levinton and Kelaher 2004). It may also be due to temporal variation in
deposition of saltmarsh detritus for mudflats situated near saltmarshes (Gordon et
al. 1986, 1987). Finally, sediment penetrability tended to be greater early in the
year (June–August) than later (October–December; Fig. 20). A previous analysis
focusing on over-winter change between December and March, found that sediment
conditions within a site were fairly consistent (Gerwing et al. 2015b). Based on the
graphs in the current study (Figs. 17–20), temporal change in sediment properties
Table 3. PERMANOVA results investigating whether sediment properties (water content, penetrability,
aRPD depth, particle size, and organic-matter content of sediment; normalized) at the mudflats
varied through space and time in the Bay of Fundy in 2009–2011. * = significant and interpretable Pvalues
of fixed effects. Due to a significant 3-way interaction (site x round x year: pseudo-F = 2.3, P =
0.001); the analysis was conducted by year. Multiple comparisons to determine if each site varied over
time (site x round interaction) were interpreted with P-values corrected using a sequential Bonferronitype
adjustment. See Figure 1 for site names that correspond to codes given in table.
Source of variation df MS Pseudo-F Unique permutations P
2009–2010
Site 7 86 27.9 999 0.001
Round 7 28 9.1 999 0.001
Site x Round 49 8 2.5 997 0.001*
SP 7 13 3.1 999 0.0001*
AV 7 13 3.4 997 0.0003*
MC 7 14 3.8 997 0.0004*
MN 7 10 2.3 998 0.003*
PC 7 13 3.3 997 0.0006*
GA 7 13 3.2 999 0.0008*
DF 7 8 1.7 998 0.06
MP 7 14 3.6 997 0.001*
Residual 446 3
2010–2011
Site 7 107 34.7 998 0.001
Round 7 16 5.2 997 0.001
Site x round 49 6 2.0 998 0.001*
SP 7 8 1.6 998 0.04*
AV 7 8 1.8 998 0.02*
MC 7 13 3.4 998 0.0001*
MN 7 13 3.1 998 0.0003*
PC 7 10 2.3 997 0.0008*
GA 7 9 1.9 997 0.005*
DF 7 7 1.5 999 0.13
MP 7 7 1.6 997 0.07
Residual 447 3
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Figure 17. Average (± SE; n = 6–8 cores per site) volume-weighted mean particle-size in the top 1 cm of sediment on mudflats in the upper
Bay of Fundy in 2009–2011 (See Fig. 1 for site names that correspond to codes given in figure).
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Figure 18. Mean (± SE; n = 6–8 cores per site) sediment water-content in the top 1 cm of sediment on mudflats in the upper Bay of Fundy
in 2009–2011 (See Fig. 1 for site names that correspond to codes given in figure).
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Figure 19. Mean (± SE; n = 6–8 cores per site) sediment organic matter content in the top 1 cm of sediment on mudflats in the upper Bay
of Fundy in 2009–2011 (See Fig. 1 for site names that correspond to codes given in figure).
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Figure 20. Mean (± SE; n = 22–24 per site) penetrability of the sediment on mudflats in the upper Bay of Fundy in 2009–2011 (See Fig. 1
for site names that correspond to codes given in figure). Penetrability is defined as the distance an object of known weight (a small rod of
330 g), dropped from a known height (0.75 m), penetrates into t he sediment.
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T.G. Gerwing, A.M. Allen Gerwing, D. Drolet, M.A. Barbeau, and D.J. Hamilton
2015 Vol. 22, Monograph 12
throughout a year were relatively smooth, i.e., there did not appear to be a time of
year when there was a consistent, dramatic change. Large temporal change in sediment
conditions may occur following storm events (T.G. Gerwing, pers. observ.;
Yeo 1977), and/or occur on larger time scales (Desplanque and Mossman 2004,
Levin 1984, Shepherd and Boates 1999, Shepherd et al. 1995).
There was substantial intersite variation in sediment properties, even though the
sites are all silt-dominated intertidal mudflats (Fig. 21). When we made pairwise
comparisons of the sites (SIMPER; Table 4), the contribution of each variable to the
intersite difference varied greatly. Mean particle size (10 of the 28 pairs), sediment
penetrability (7 pairs), and aRPD depth (6 pairs) were typically the main contributors.
When we examined the sediment-data cloud as a whole (dbRDA; Table 5), the
axis composed predominantly of organic matter and percent water-content contributed
the most to spatiotemporal variation in sediment characteristics (58%). It is
not surprising that organic matter and water content grouped together because they
were highly and positively correlated in our study (Pearson’s correlation coefficient
Table 4. SIMPER results showing percent contribution (%) of each sediment variable (normalized)
to the dissimilarity in sediment environment between each pair of sites (pooled over sampling rounds
and years). See Figure 1 for the full names of the 8 mudflats in the upper Bay of Fundy. * indicates
a variable with a consistent contribution to site differences (i.e., a value with an [average squared
distance/standard deviation of squared distances] ≥ 1).
Variable SP–AV AV–MC SP–MC SP–MN AV–MN MC–MN MN–PC
Particle size 22.4 42.1 37.3 4.5 26.4 41.2 3.6
Water content 18.1 16.8 18.1 24.2 20.0 16.1 28.8
Organic matter 21.2 16.5 15.8 21.1 21.8 14.2 27.9
Penetrability 20.2 12.9 17.7 22.6 14.2 14.6 17.6
aRPD depth 18.1 11.7 11.1 27.7 17.6 13.9 22.0
Variable MN–GA PC–GA GA–DF GA–MP DF–MP PC–DF PC–MP
Particle size 1.9 2.5* 3.4 3.9 8.2 6.1 5.8
Water content 17.6 23.3* 22.1* 23.7* 19.0 27.8 25.6*
Organic matter 21.7 23.3* 23.6* 23.6* 20.1 17.3 15.1*
Penetrability 31.2 29.5* 29.3* 24.8 21.5 17.5 17.9
aRPD depth 27.6 21.4 21.5 24.0 31.1 31.5 35.6
Variable MN–DF MN–MP SP–PC SP–GA SP–DF SP–MP AV–PC
Particle size 5.3 5.8 3.5 3.3 5.5 5.4 24.4
Water content 25.8 26.6 23.4 21.5 19.4 18.7 20.2
Organic matter 29.6 28.2 18.8 16.8 23.3 21.6 23.8
Penetrability 19.0 15.6 26.3 27.4 29.9 27.9 13.3
aRPD depth 20.3 23.9 28.0 31.0 21.9 26.4 18.2
Variable AV–GA AV–DF AV–MP MC–PC MC–GA MC–DF MC–MP
Particle size 18.8 25.1 24.3 39.2 30.7 39.6 38.0
Water content 19.2 17.6 17.6 19.1 14.7 17.7 17.7
Organic matter 17.0 26.2 25.1 18.2 10.8 20.1 19.1
Penetrability 23.5 15.0 13.8 10.7 24.9* 11.8 12.2
aRPD depth 21.5 16.1 19.2 12.9 18.9 10.8 13.0
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= 0.82, P = 0.001). This correlation is likely a result of organic matter influencing
sediment cohesiveness and thus water content (Black et al. 2002, Dade et al.
1992). In our dbRDA, the variable ranked 2nd highest (17%) was depth to the aRPD,
which is a useful measure of dissolved-oxygen content at a particular sampling
location (Gerwing et al. 2015a). Factors which influence aRPD depth can be found
Figure 21. Non-metric multidimensional scaling (nMDS) graphs of the sediment environment
(aRPD depth, mean particle size, water content, organic-matter content, sediment penetrability;
normalized) on 8 intertidal mudflats in the upper Bay of Fundy and 8 sampling
rounds per year over 2 years (2009–2011). Each symbol represents an average per site and
round. 1 = early June, 2 = late June, 3 = mid-July, 4 = early August, 5 = late August/early
September, 6 = October, 7 = December, and 8 = March (for more precise dates, see Fig. 2).
See Fig. 1 for site names that correspond to codes given in figure. Vector overlays beneath
the MDS graphs represent correlations between sediment variables and MDS axes. The vector
of each sediment variable shows the direction of increased value across the MDS graph.
All sediment variables are shown.
Table 5. Results of the distance-based redundancy analysis (dbRDA) on the variation in sediment
properties (normalized) among samples (n = 1021) for intertidal mudflats in the upper Bay of Fundy
in 2009–2011.
Variation explained (%)
Axis title Individual Cumulative
Water- and organic-matter contents 58.0 58.0
aRPD depth 16.5 74.6
Mean particle size 12.5 87.0
Sediment penetrability 9.4 96.5
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2015 Vol. 22, Monograph 12
in Gerwing et al. (2013) and Gerwing et al. (2015a). Mean particle size (12%) and
sediment penetrability (9%) contributed less to the variation than the other variables
among all samples. Differences between SIMPER and dbRDA analyses are
likely a result of within-site patchiness of sediment condition s.
Conclusion
We examined biotic and abiotic features of intertidal mudflats at 8 intertidal
mudflats, spanning the entire upper Bay of Fundy, Canada. The patterns reported
here are an essential first step in the development of predictive models and can inform
the design of manipulative experiments to investigate relationships within and
between biotic and abiotic components of this ecosystem. We are currently working
to quantify driving forces (top-down predation, bottom-up resources, abiotic
factors, and pre- versus post-settlement processes) behind these patterns by further
analysis of our large-scale mensurative study (e.g. T.G. Gerwing et al., unpubl.
data), and planning and implementing manipulative studies.
Acknowledgments
We thank A. Black, S. Blacquière Bringloe, L.K. Boone, T.T. Bringloe, M.R.S. Coffin,
M.E. Coulthard, J.R. Doucet, D. Ellis, A.L. Einfeldt, M.A. Hebert, X. Hu, K.G. Kennedy,
D. LeBrech, E.C. MacDonald, C.B.A. Macfarlane, S.M. MacNeil, A. Mayberry, J. Murray,
J. Oak, C. Ochieng, J.T. Quinn, D.W. Schneider, K.C. Shim, and J. Wo for assistance with
field work and/or processing many samples. We also thank K. Haralampides and D. Connor,
Department of Civil Engineering at the University of New Brunswick (UNB), for help
with sediment analyses; Mount Allison University (MTA), and Acadia Centre for Estuarine
Research, Acadia University, for use of their facilities; the mudflat ecology group at the
UNB, MTA and Carleton University for many discussions; our partners Canadian Wildlife
Services, Environment Canada; the Departments of Natural Resources in New Brunswick
and in Nova Scotia; and the Nature Conservancy of Canada for useful feedback. K.R.
Clarke gave valuable advice regarding PRIMER analysis. This study was funded by the
Natural Sciences and Engineering Research Council of Canada (a Strategic Project Grant
and Discovery grants to M.A. Barbeau and D.J. Hamilton), New Brunswick Wildlife Trust
Fund grants to M.A. Barbeau, Mprime (a Canadian Network of Centres of Excellence for
the mathematical sciences), Science Horizons Internship Program (Environment Canada),
and the Canada Summer Job Program. T.G. Gerwing received support from Marguerite and
Murray Vaughan Fellowships in Marine Sciences, and UNB (including a President’s Doctoral
Tuition Award).
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Appendix 1. Results of a SIMPER analysis showing percent contribution (%) of each taxon to the dissimilarity between consecutive pairs of sampling
rounds for the invertebrate community (4th-root transformed density data) on 8 intertidal mudflats in the upper Bay of Fundy (see Fig. 1 for site names that
correspond to site codes). * = a taxon with a consistent contribution to round differences (i.e., a value with an average dissimilarity/standard deviation of
dissimilarities ≥1). For each entry, the first value is for 2009–2010, and the second value for 2010–2011. 1 = early June, 2 = late June, 3 = mid-July, 4 =
early August, 5 = late August/early September, 6 = October, 7 = December, and 8 = March (for more precise dates, see Fig. 2).
Site Taxon 1–2 2–3 3–4 4–5 5–6 6–7 7–8
SP
Cirratulidae 11.0*, 12.5* 20.5*, 12.2* 17.4*, 14.0* 11.2*, 19.2* 16.2*, 14.2* 15.3*, 15.2* 12.1*, 14.9*
Spionidae 10.8*, 10.4* 8.5*, 9.5* 8.6*, 8.8* 9.5*, 10.2* 7.9*, 7.1 20.2*, 6.1 17.6*, 7.0*
Capitellidae 7.0.0, 3.3* 6.2*, 2.9* 5.4*, 2.9* 3.8*, 5.4 5.8, 6.2 12.9*, 5.6* 14.8*, 5.5*
Maldanidae 0.0, 0.0 0.0, 0.0 0.0, 1.3 0.0, 1.3 0.0, 0.0 0.0, 0.0 0.4, 0.6
Nereididae 0.0, 0.5 4.2, 0.5 4.2, 0.0 1.8, 0.0 1.2, 0.5 0.0, 1.2 0.0, 0.6
Nephtyidae 7.8*, 6.3 7.2*, 6.5 6.5*, 3.2 4.9, 0.0 4.3, 3.8 2.4, 8.1 3.0.0, 7.5
Phyllodocidae 8.9*, 6.5 4.9*, 7.5* 4.1, 6.0 3.7*, 5.2 4.1, 7.8 5.1, 7.5 3.9*, 6.7
Glyceridae 0.0, 3.4 1.4, 3.5 4.4, 1.7 5.5*, 0.9 5.3, 1.3 3.2, 1.1 0.7, 0.6
Goniadidae 0.5, 1.9 0.0, 1.4 0.4, 1.4 2.9, 1.8 3.2, 3.9 0.8, 4.1 0.0, 0.0
Orbiniidae 0.0, 6.3 1.0.0, 9.8* 0.9, 10.2* 0.0, 5.9 0.0, 5.5 0.5, 3.5 5.9, 6.1
C. volutator 15.4*, 5.3 14.2*, 6.6 16.5*, 7.3 17.2*, 2.8 8.7, 3.7 4.1, 5.5 4.3, 4.4
Ostracoda 12.4*, 14.3* 10.3*, 11.9* 10.4*, 16.3* 16.9*, 16.8* 15.5*, 14.8* 11.6*, 18.9* 12.9*, 17.7*
Copepoda 15.4*, 15.6* 10.8*, 14.3* 10.9*, 13.7* 10.8*, 15.0* 12.6*, 12.7* 14.7*, 13.7* 13.6*, 15.2*
Macoma spp. 8.6*, 9.9 8.7*, 9.3 7.9*, 9.2* 8.3*, 10.5* 9.8*, 10.5* 9.3*, 6.4 9.5*, 13.5
N. obsoletus 2.2*, 3.9* 2.1*, 4.2* 2.6*, 4.1* 3.5*, 4.9* 5.5*, 8.1* 0.0, 3.3 1.2, 0.2
MC
Cirratulidae 3.6, 7.8 2.7, 8.3 3.7, 9.2 5.1, 9.9 4.9, 9.8 4.3, 13.2* 4.2, 12.3*
Spionidae 4.6, 9.9 4.2, 8.6 0.0, 9.7 11.2*, 14.6* 9.4, 13.7* 8.3, 15.2* 6.8, 13.7*
Capitellidae 0.0, 0.6 0.0, 1.3 0.0, 0.8 0.0, 0.0 0.0, 0.5 0.0, 2.2 0.0, 2.3
Maldanidae 0.0, 0.7 0.5, 0.0 0.5, 0.0 0.0, 0.0 0.6, 0.4 1.4, 0.5 0.7, 0.8
Nereididae 9.9*, 10.4 10.9*, 8.3 14.2*, 9.1 9.2, 8.2 9.2, 7.6 11.2, 8.4 16.9, 11.3
Nephtyidae 7.3. 7.9 6.1, 7.3 5.4, 6.5 6.8, 5.9 4.9, 5.6 6.3, 8.5 7.4, 8.1
Phyllodocidae 6.7, 5.4 5.6, 5.4 7.1, 6.5 8.5*, 9.3* 7.4, 8.6* 11.1*, 10.4* 10.9*, 11.8*
Glyceridae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Goniadidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.5, 0.0 0.6, 0.0 0.0, 0.0
Orbiniidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
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T.G. Gerwing, A.M. Allen Gerwing, D. Drolet, M.A. Barbeau, and D.J. Hamilton
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Site Taxon 1–2 2–3 3–4 4–5 5–6 6–7 7–8
C. volutator 25.0*, 15.6* 21.1, 24.7* 18.2, 16.6 23.1*, 16.7* 24.2*, 23.9* 17.9*, 13.7* 16.3*, 12.6*
Ostracoda 3.3, 1.6 2.9, 2.6 1.8, 5.6 5.3, 5.6 4.6, 4.2 3.6, 3.0 2.1, 5.2
Copepoda 23.6*, 23.4* 27.8*, 20.7* 25.8, 23.4* 18.6, 18.9* 23.1*, 15.8* 23.2*, 12.0* 19.3*, 12.1*
Macoma spp. 13.2, 13.2 13.8*, 9.5 12.5*, 9.3 8.8, 8.5 7.7, 7.0 9.9, 6.9 14.7, 9.1
N. obsoletus 2.8, 3.5* 4.4, 3.6* 3.9*, 3.2 3.4*, 2.4* 3.6*, 2.8* 2.2, 5.9* 0.6*, 0.6*
AV
Cirratulidae 10.1*, 11.2* 10.6*, 10.9* 9.7*, 9.9* 9.4*, 10.3* 6.9*, 11.9* 5.4, 13.5* 7.9, 13.3*
Spionidae 8.5*, 13.1* 8.9*, 11.9* 8.8*, 9.0 7.7*, 10.0* 10.5*, 10.2* 10.8*, 8.7* 12.2*, 9.3
Capitellidae 8.9*, 10.7* 8.0*, 8.9* 7.3*, 9.0* 9.4*, 8.8* 8.6*, 8.5* 10.6*, 8.9* 12.4*, 10.0*
Maldanidae 0.0, 3.2 1.5, 3.9 1.4, 2.8 0.7, 3.6 0.7, 3.5 0.0, 2.6 2.4, 5.2
Nereididae 0.8, 2.6 7.2, 1.7 6.6, 2.3 1.4, 1.7 1.3, 0.0 1.6, 0.0 0.9, 0.0
Nephtyidae 9.1*, 8.2* 12.5*, 8.7* 11.6*, 11.2* 10.8*, 11.4* 11.9*, 11.4* 12.4*, 9.9* 13.7, 6.5
Phyllodocidae 7.7, 7.3 7.2*, 6.9* 6.3*, 6.3* 5.4, 6.5* 6.9*, 6.9* 5.4, 7.6* 5.7, 7.9*
Glyceridae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Goniadidae 0.0, 0.0 0.0, 0.0 0.4, 0.0 0.4, 0.0 0.0, 0.3 0.0, 0.4 0.0, 0.0
Orbiniidae 0.0, 0.4 0.5, 1.5 0.5, 1.4 0.3, 1.3 0.2, 1.4 0.3, 1.3 0.4, 3.9
C. volutator 21.8*, 12.7* 11.8*, 16.3* 16.2*, 16.5* 20.3*, 17.0* 16.7*, 16.6* 18.1*, 14.1* 8.9*, 12.4*
Ostracoda 9.7*, 11.5* 9.7*, 8.8* 9.9*, 12.3* 10.4*, 12.2* 13.9*, 12.4* 13.6*, 10.8* 16.6, 13.6*
Copepoda 15.4*, 10.7* 12.8*, 12.6* 12.9*, 11.9* 14.8*, 9.8* 11.5*, 9.6* 14.1*, 13.8* 13.3*, 12.1*
Macoma spp. 4.9, 5.2 5.9, 4.8 5.9*, 4.9 6.2*, 4.9 6.5, 3.5 4.9, 5.0 4.7, 5.1
N. obsoletus 3.2*, 3.5* 3.2*, 3.0* 2.6*, 2.3 2.8*, 2.5 4.2*, 3.8* 2.9, 3.4* 0.7, 0.7
MN
Cirratulidae 0.0, 1.1 0.0, 0.6 0.0, 0.0 0.0, 0.0 0.0, 0.6 0.7, 1.3 0.7, 1.3
Spionidae 13.6*, 14.8* 17.9*, 14.2* 16.7*, 12.3* 14.0*, 11.7* 16.1*, 8.3* 17.2*, 5.9 16.2*, 7.1
Capitellidae 9.9*, 7.5 8.9*, 8.3 7.7, 8.4* 7.1, 8.7 7.1, 8.7* 5.9, 10.3* 3.2, 10.7
Maldanidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Nereididae 11.7*, 11.1* 12.0*, 10.9* 12.1*, 11.6* 11.8*, 12.8* 11.7*, 11.9* 9.6, 10.6 9.7, 10.9
Nephtyidae 7.1, 10.5* 7.3, 12.9* 9.7*, 11.4* 9.0.0, 9.8 8.3, 7.6 8.2, 6.1 7.3, 8.3
Phyllodocidae 9.2*, 9.3* 10.6*, 11.4* 11.1*, 9.7* 9.2*, 7.3 9.8*, 9.6* 9.9*, 11.5* 7.6, 14.8*
Glyceridae 0.0, 0.0 0.6, 0.0 0.6, 0.0 0.0, 0.0 0.0, 0.0 0.6, 0.0 0.6, 0.0
Goniadidae 0.7, 0.6 0.0, 0.6 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Orbiniidae 0.0, 0.0 1.2, 0.0 1.2, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
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Site Taxon 1–2 2–3 3–4 4–5 5–6 6–7 7–8
C. volutator 16.3*, 13.1* 11.1*, 10.6* 9.6*, 13.8* 11.2*, 16.0* 11.2*, 24.5* 8.5*, 16.9 12.8*, 16.9*
Ostracoda 4.8, 7.6 5.9, 5.7 9.3, 9.4 14.2*, 9.8* 14.9*, 5.9 11.2, 3.1 10.1, 2.5
Copepoda 15.4*, 13.1* 15.2, 11.6* 12.3, 10.5* 13.0*, 9.8* 8.0*, 9.9 16.1*, 22.7* 21.7, 18.1*
Macoma spp. 6.8, 7.1 5.5, 8.8 6.5, 9.3* 7.0.0, 9.8* 7.7, 7.7 10.2*, 8.1 10.0*, 9.3
N. obsoletus 4.3*, 4.1* 3.9*, 4.5* 3.0*, 3.7* 3.3*, 4.3* 5.1*, 5.1* 1.9, 3.6 0.0, 0.0
PC
Cirratulidae 0.0, 1.5 0.0, .08 0.0, .06 0.0, .07 0.0, .06 0.0, .07 0.0, .08
Spionidae 15.9*, 17.6* 17.4*, 16.5* 10.7*, 16.8* 12.8*, 17.9* 13.8*, 16.0* 16.7*, 13.4* 15.9*, 13.8*
Capitellidae 7.0, 7.5 6.9, 8.1 6.7, 7.9 7.8, 7.4 7.7, 6.6 4.8, 6.8 4.9, 4.7
Maldanidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Nereididae 3.1, 8.1 7.2, 12.3* 13.5*, 14.3* 13.7*, 16.2* 11.7*, 12.9* 12.2*, 12.7* 9.1*, 12.1*
Nephtyidae 10.9, 14.3* 12.4*, 14.3* 12.8*, 14.8* 13.1*, 16.3* 15.0*, 13.3* 16.9*, 16.5* 12.3, 18.7*
Phyllodocidae 11.2*, 11.3* 12.4*, 12.3* 10.5*, 11.4* 9.8*, 11.3* 9.9*, 8.2* 11.9*, 9.9* 11.4*, 11.8*
Glyceridae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.7, 0.0 0.7, 0.0 0.0, 0.0 0.0, 0.0
Goniadidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Orbiniidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
C. volutator 23.7*, 13.9* 13.9*, 11.8* 11.7*, 8.8* 5.7*, 9.8* 7.6*, 24.8 9.1*, 14.6* 13.1*, 15.1*
Ostracoda 3.2, 6.7 2.1, 3.2 3.9, 3.7 8.3, 3.4 8.2, 1.1 2.0, .07 3.6, 0.7
Copepoda 19.9*, 11.4* 17.4*, 12.8* 17.0*, 13.4* 15.5*, 7.6* 13.2*, 7.7 14.7*, 16.3 19.3, 18.2
Macoma spp. 2.9, 5.5 7.8, 5.6 10.2, 6.4 9.4*, 7.4 10.0*, 6.5 10.6, 6.6 10.4*, 3.9
N. obsoletus 2.2, 2.3 2.5, 2.4 3.1, 1.8 3.2*, 2.1 2.1, 2.3 1.2, 2.0 0.0, 0.3
GA
Cirratulidae 0.0, 1.6 0.0, 1.5 2.9, 1.2 3.6, 1.7 1.3, .05 1.2, 1.4 9.6, 3.3
Spionidae 8.9*, 12.7* 20.2*, 17.1* 18.8*, 14.6* 14.8*, 15.1 13.0*, 14.5* 10.6*, 11.0* 18.3*, 11.7*
Capitellidae 6.9, 7.8 6.4, 7.3 6.4, 7.8 7.2, 7.5 7.3, 5.7 4.8, 6.1 3.2, 5.4
Maldanidae 0.0, 0.0 0.9, 0.0 0.9, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Nereididae 7.8, 5.6 7.9*, 9.9* 7.3, 8.9* 3.4, 6.9 1.9, 5.2 4.5, 3.3 4.7, 3.6
Nephtyidae 2.9, 2.0 2.9, 1.3 3.2, 0.5 3.6, 1.6 2.5, 2.1 0.7, 4.6 3.7, 4.5
Phyllodocidae 13.5, 8.8 8.7*, 8.8* 8.3*, 8.6 6.0, 7.4 5.0, 8.0* 10.3*, 8.6* 9.6*, 9.8*
Glyceridae 0.0, 0.0 0.0, 0.0 0.0, 1.1 0.0, 1.1 0.0, 0.0 0.0, 0.0 0.0, 0.0
Goniadidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Orbiniidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
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T.G. Gerwing, A.M. Allen Gerwing, D. Drolet, M.A. Barbeau, and D.J. Hamilton
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Site Taxon 1–2 2–3 3–4 4–5 5–6 6–7 7–8
C. volutator 11.7, 18.9* 9.2, 17.4* 9.2*, 16.1* 10.6*, 16.7* 14.4*, 16.8* 16.3*, 13.9* 13.40*, 15.6*
Ostracoda 19.5*, 14.9* 14.8*, 8.9* 16.2*, 13.8* 23.4*, 16.4* 20.7*, 23.4* 17.3*, 20.8* 16.9*, 19.4*
Copepoda 22.6, 13.6 13.4*, 8.4* 14.8*, 14.2* 15.3*, 13.9* 18.0*, 9.7* 14.0*, 15.4* 8.5*, 11.3
Macoma spp. 1.4, 9.7 11.9*, 15.1* 8.7*, 8.9* 9.5*, 7.6* 12.8*, 10.7* 12.3*, 10.0* 12.1*, 11.8*
N. obsoletus 4.7*, 4.5* 3.5*, 4.3* 3.4*, 4.2* 2.7*, 4.1* 3.0*, 3.4* 7.9*, 4.9* 0.0, 3.8*
DF
Cirratulidae 1.9, 5.4 0.9, 5.5 3.3, 7.1 6.5, 7.8 4.6, 5.5 2.1, 7.7 5.4, 9.4
Spionidae 16.2*, 14.8* 16.6*, 14.6* 12.9*, 15.0* 12.4, 15.8* 15.9*, 13.7* 16.1*, 15.4* 15.3, 15.8*
Capitellidae 7.7, 5.3 8.5, 5.4 7.5, 4.3 6.3, 4.9 3.6, 5.3 3.7, 4.8 2.3, 2.4
Maldanidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.7 0.0, 0.7
Nereididae 8.3, 5.3 10.7*, 8.6 12.0*, 10.0* 12.6*, 10.8* 11.5, 9.1* 9.6, 8.2 7.8, 6.9
Nephtyidae 7.9, 4.1 9.7, 3.4 10.8, 3.4 5.6, 3.2 3.4, 5.2 6.9, 6.2 6.9, 4.1
Phyllodocidae 11.1, 9.2* 11.1*, 10.5* 12.9*, 10.8* 9.2, 7.6 10.5, 9.3* 13.3*, 11.3* 12.0*, 12.6*
Glyceridae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Goniadidae 0.0, 0.0 0.0, 0.6 0.0, 0.6 0.0, 0.6 0.0, 0.6 0.0, 0.0 0.0, 0.0
Orbiniidae 0.0, 0.0 0.0, 0.0 1.3, 0.0 1.4, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
C. volutator 15.4*, 18.3* 10.3, 15.0* 7.6, 11.2* 3.8*, 9.1* 6.0.0, 25.3* 12.8, 16.8* 16.2*, 18.6*
Ostracoda 12.5*, 12.2* 12.6*, 12.6* 13.5*, 12.4* 16.7*, 13.7* 18.1*, 7.7 14.0.0, 9.9* 13.4*, 11.9*
Copepoda 6.5, 12.1* 4.9, 9.9* 3.4*, 10.4* 9.5, 10.4* 6.9, 9.7* 6.5, 10.4* 7.1, 8.5*
Macoma spp. 11.1, 11.1 12.3*, 10.7* 12.0*, 11.3* 10.5, 12.5* 13.9*, 7.5 14.2*, 8.1 13.6*, 9.3
N. obsoletus 1.4, 2.3 2.4, 3.2* 2.7, 3.6* 5.7*, 3.6* 5.4*, 1.2 0.9, 0.5 0.0, 0.0
MP
Cirratulidae 4.2, 9.5 3.2, 12.2* 5.7, 12.3* 9.2, 10.1 8.8, 8.5 10.0.0, 12.3 14.7*, 15.1*
Spionidae 17.0*, 14.7* 16.8*, 12.5* 12.6*, 9.9* 16.0*, 10.2* 15.3*, 10.6* 16.3*, 13.8* 14.4*, 11.5
Capitellidae 3.7, 1.1 7.2, 1.8 7.2, 1.8 2.1, 1.3 1.6, 0.8 1.7, 0.5 1.3, 1.5
Maldanidae 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0 0.0, 0.0
Nereididae 7.1, 5.8 10.0*, 7.3 8.9*, 8.5* 8.8*, 8.9* 6.5, 7.7 7.2, 7.9 7.5, 6.3
Nephtyidae 6.9, 7.5 6.8*, 7.4 7.5*, 7.0 8.9*, 7.6 8.9*, 6.6 10.5, 6.5 9.6, 6.8
Phyllodocidae 7.9, 7.0 7.5*, 7.8* 7.2, 7.5 8.1*, 8.0* 7.9, 7.7 7.3, 7.4 8.0*, 8.1*
Glyceridae 0.5, 0.4 0.0, 0.4 0.0, 0.0 0.0, 0.6 0.0, 0.5 0.4, 1.8 0.4, 1.8
Goniadidae 0.0, 0.0 0.0, 0.4 0.0, 0.4 0.0, 0.5 0.0, 0.5 0.0, 0.0 0.0, 0.0
Orbiniidae 0.0, 0.0 0.8, 0.0 0.8, 0.0 0.0, 0.0 0.0, 0.0 0.7, 0.0 1.4, 0.0
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Site Taxon 1–2 2–3 3–4 4–5 5–6 6–7 7–8
C. volutator 14.9*, 16.2* 13.6*, 16.6* 16.7*, 23.2* 15.8*, 22.6* 17.9*, 28.3* 16.5*, 16.4* 14.7*, 14.4*
Ostracoda 10.4, 13.4* 10.2*, 10.4 9.6*, 9.4* 11.1*, 9.6* 12.5*, 5.9 7.1, 6.5 8.0, 8.2
Copepoda 15.7, 11.7* 11.1, 12.1* 13.0*, 7.3* 8.8*, 7.5* 10.6*, 10.8* 10.7*, 13.1* 10.8*, 13.2
Macoma spp. 7.8, 9.6* 9.7*, 8.3* 7.9*, 9.6* 8.3*, 10.2* 7.4*, 9.5* 8.9*, 10.6* 9.0*, 10.9*
N. obsoletus 3.8, 3.2* 3.1*, 2.8* 2.9, 2.9* 2.9*, 2.9* 2.6, 2.5 2.5*, 3.2 0.1, 2.1
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Appendix 2. Results of a SIMPER analysis showing percent contribution (%) of each taxon to the dissimilarity in invertebrate community (4th-root transformed
density data) between each pair of sites (pooled over sampling rounds). See Figure 1 for the full names of the 8 mudflats in the upper Bay of Fundy.
* = a taxon with a consistent contribution to site differences (i.e., a value with an average dissimilarity/standard deviation of dissimilarities ≥ 1). For each
entry, the first value is for 2009–2010, and the second value for 201 0–2011.
Taxon SP–AV AV–MC SP–MC SP–MN AV–MN MC–MN MN–PC
Cirratulidae 14.0*, 15.2* 5.8, 7.9* 14.75*, 14.98* 16.6*, 18.1* 5.9, 8.0 2.0, 5.2 0.1, 0.7
Spionidae 8.6*, 6.4* 7.7*, 10.0* 9.83*, 8.17* 8.8*, 8.0* 8.5*, 10.3* 10.4*, 9.7* 14.2*, 14.9*
Capitellidae 9.0*, 9.1* 8.7*, 9.6* 13.01*, 14.86* 12.4*, 13.1* 8.7*, 9.1* 3.9, 5.2 6.6, 7.1
Maldanidae 0.4, 1.7 0.6, 1.7 0.13, 0.21 0.0, 0.1 0.5, 1.8 0.2, 0.2 0, 0
Nereididae 1.3, 0.6 8.5*, 9.8* 6.17*, 8.02* 4.1, 3.7 5.7, 4.9 10.6*, 11.4* 10.2*, 10.2*
Nephtyidae 9.6*, 11.7* 12.7*, 11.8* 3.06, 2.83 3.5, 3.5 12.8*, 12.2* 5.7, 6.5 9.9, 11.5
Phyllodocidae 9.1*, 8.3* 5.1, 5.4* 9.60*, 8.02* 9.8*, 7.3* 5.6*, 5.8* 6.6*, 7.9* 11.1*, 9.3*
Glyceridae 1.2, 0.6 0.0, 0.0 1.12, 0.47 1.2, 0.5 0.1, 0.0 0.1, 0.0 0.2, 0.0
Goniadidae 0.4, 0.7 0.1, 0.1 0.36, 0.52 0.4, 0.6 0.1, 0.1 0.1, 0.1 0.1, 0.1
Orbiniidae 0.8, 2.7 0.1, 0.7 0.60, 1.90 0.7, 2.0 0.2, 0.8 0.1, 0.0 0.1, 0.0
C. volutator 11.2*, 9.7 14.4*, 11.2* 9.89*, 8.24* 14.6*, 15.1* 16.9*, 15.5* 21.2*, 19.9* 13.9*, 19.6*
Ostracoda 9.4*, 10.9* 10.6*, 10.7* 11.72*, 13.76* 11.4*, 13.9* 10.5*, 11.3* 5.6, 4.0 7.3, 4.3
Copepoda 17.3*, 14.3* 14.6*, 9.9* 12.50*, 8.82* 9.3*, 6.9* 16.9*, 13.0* 19.1*, 13.9 15.5*, 12.3
Macoma spp. 5.4, 4.9 8.2*, 8.7* 5.64*, 6.58* 5.3, 4.3 4.7, 4.2 11.6*, 12.8* 7.5, 6.3
N. obsoletus 2.3*, 3.2* 2.8, 2.7 1.63*, 2.62* 1.9*, 2.8* 2.9*, 2.9* 2.9, 3.2* 3.3*, 3.7*
Taxon MN–GA PC–GA GA–DF GA–MP DF–MP PC–DF PC–MP
Cirratulidae 1.2, 0.8 1.2, 0.8 2.4, 3.2 5.7, 6.9 6.6, 9.3 1.6, 3.8 5.7, 7.7
Spionidae 12.4*, 13.8* 11.8*, 10.6* 13.7*, 12.7* 14.2*, 10.4* 15.5*, 12.9* 14.2*, 14.3* 14.7*, 12.2*
Capitellidae 4.3, 5.1 3.8, 4.1 3.7, 4.2 3.5, 3.4 3.4, 2.6 4.8, 4.9 4.2, 3.5
Maldanidae 0.1, 0.0 0.1, 0.0 0.1, 0.1 0.1, 0.0 0.0, 0.1 0.0, 0.1 0.0, 0.0
Nereididae 6.2, 6.1 4.7, 5.9 5.2, 5.2 5.8, 5.2 7.5, 6.9 7.7, 9.1 7.5, 7.9
Nephtyidae 3.8, 4.5 5.8, 7.4 3.3, 2.4 5.5, 4.6 6.9, 5.9 8.6, 10.8 8.7, 9.5
Phyllodocidae 6.8*, 6.6* 6.9*, 6.2* 7.5*, 7.1* 6.9*, 7.3* 8.3*, 8.8* 9.7*, 9.4* 8.5*, 7.9*
Glyceridae 0.1, 0.1 0.1, 0.1 0.0, 0.1 0.1, 0.4 0.1, 0.3 0.1, 0.0 0.2, 0.3
Goniadidae 0.1, 0.0 0.0, 0.0 0.0, 0.1 0.0, 0.1 0.0, 0.2 0.0, 0.1 0.0, 0.1
Orbiniidae 0.1, 0.0 0.0, 0.0 0.1, 0.0 0.2, 0.0 0.4, 0.0 0.1, 0.0 0.3, 0.0
C. volutator 21.2*, 15.3* 20.0*, 17.0* 17.6*, 16.7* 13.2*, 15.4* 17.8*, 21.4 17.6*, 19.1* 19.2*, 22.4*
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Taxon MN–GA PC–GA GA–DF GA–MP DF–MP PC–DF PC–MP
Ostracoda 24.1*, 27.5* 25.6*, 27.5* 23.5*, 26.7* 23.1*, 25.3* 10.3*, 9.5* 10.1, 8.4 7.7, 7.0
Copepoda 10.2, 9.6* 10.7, 10.2 11.5*, 9.7* 10.7, 9.7* 11.2*, 10.1* 13.3*, 10.6* 12.1*, 10.7*
Macoma spp. 6.8*, 7.7* 6.9*, 7.4* 8.7*, 8.6* 8.2*, 8.3* 9.6*, 9.5* 10.5*, 7.7 9.3*, 8.5*
N. obsoletus 2.7*, 2.9* 2.5*, 2.8* 2.8*, 3.2* 2.7*, 2.9* 2.3, 2.5 1.7, 1.7 2.2, 2.3
Taxon MN–DF MN–MP SP–PC SP–GA SP–DF SP–MP AV–PC
Cirratulidae 1.6, 3.8 5.7, 7.6 16.9*, 17.3* 18.5*, 21.8* 17.1*, 17.9* 15.6*, 16.0* 5.9, 8.2
Spionidae 15.0*, 13.6* 15.7*, 13.5* 8.1*, 6.8* 10.0*, 6.4* 8.7*, 7.0* 9.3*, 6.1* 8.5*, 9.2*
Capitellidae 5.4, 6.7 4.6, 5.2 12.9*, 14.0* 14.7*, 16.8* 14.1*, 15.7* 14.1*, 16.8* 8.9*, 9.9*
Maldanidae 0.0, 0.1 0.0, 0.0 0.1, 0.1 0.1, 0.1 0.0, 0.2 0.0, 0.1 0.5, 1.8
Nereididae 8.7*, 8.9 8.2*, 7.9 3.0, 3.6 2.1, 2.1 3.2, 2.6 3.9, 2.9 4.2, 5.0
Nephtyidae 5.9, 6.7 7.1, 7.1 4.7, 3.9 3.2*, 2.4 3.4, 2.4 4.6, 3.7 12.2*, 10.9*
Phyllodocidae 9.3*, 9.4* 7.3*, 7.8* 7.6*, 6.1* 9.0*, 7.6* 8.4*, 7.1* 9.3, 8.8* 6.8*, 5.9*
Glyceridae 0.1, 0.0 0.2, 0.3 1.3, 1.9 1.4, 0.7 1.3, 0.5 1.4, 0.7 0.1, 0.0
Goniadidae 0.1, 0.2 0.1, 0.2 0.4, 0.5 0.4, 0.7 0.4, 0.6 0.4, 0.6 0.0, 0.0
Orbiniidae 0.2, 0.0 0.4, 0.0 0.7, 0.5 0.8, 2.4 0.8, 2.1 0.9, 2.2 0.1, 0.8
C. volutator 17.1*, 18.7* 19.2*, 20.3* 14.4*, 17.2* 8.5*, 10.9* 12.7*, 15.9* 10.6*, 12.1* 16.9*, 18.2*
Ostracoda 10.7*, 8.8 8.5, 7.5 12.7*, 13.5* 12.5*, 10.3* 11.1*, 12.9* 11.6*, 13.5* 11.2*, 12.1*
Copepoda 12.7*, 11.1* 11.3*, 10.7* 10.0*, 7.1* 10.0*, 7.9* 10.7*, 6.9* 10.2*, 7.5* 16.8*, 11.1*
Macoma spp. 10.2*, 8.3 8.9*, 8.7* 5.5*, 4.9 6.6*, 6.7* 6.2*, 5.0* 6.2*, 5.8* 4.9, 5.6
N. obsoletus 2.9*, 3.7* 2.8*, 3.2* 1.7*, 2.9* 2.2*, 3.3* 1.9*, 3.2* 1.9*, 3.0* 2.9*, 3.3*
Taxon AV–GA AV–DF AV–MP MC–PC MC–GA MC–DF MC–MP
Cirratulidae 5.8, 7.9 6.2, 8.4* 7.3, 9.3* 1.9, 4.9 2.4, 4.2 3.0, 6.6 6.2, 9.1
Spionidae 10.4*, 8.1* 10.2*, 9.2* 11.7*, 8.5* 12.1*, 12.5* 12.3*, 13.1* 14.8*, 11.9* 17.0*, 13.6*
Capitellidae 8.2*, 9.3* 9.0*, 10.1* 8.7*, 10.4* 3.0, 3.2 2.2, 2.9 1.9, 2.3 1.8, 1.0
Maldanidae 0.5, 1.7 0.4, 1.8 0.4, 1.8 0.2, 0.2 0.2, 0.2 0.2, 0.3 0.2, 0.2
Nereididae 2.5, 2.4 4.2, 3.3 4.8, 3.7 10.8*, 11.0* 8.7*, 10.2* 10.4*, 12.4* 9.7*, 11.8*
Nephtyidae 12.7*, 13.6* 13.1*, 13.7* 11.7*, 12.2* 7.8, 8.9 2.9, 3.1 4.8, 4.4 6.6, 6.1
Phyllodocidae 5.8*, 5.7* 6.3*, 5.9* 5.7*, 5.9* 9.1*, 7.7* 6.5*, 6.6* 8.3*, 8.4* 6.8*, 7.0*
Glyceridae 0.0, 0.1 0.0, 0.0 0.1, 0.2 0.1, 0.0 0.0, 0.1 0.0, 0.0 0.1, 0.3
Goniadidae 0.0, 0.0 0.0, 0.1 0.0, 0.1 0.1, 0.0 0.0, 0.0 0.1, 0.1 0.05, 0.10
Orbiniidae 0.1, 0.8 0.2, 0.8 0.3, 0.8 0.0, 0.0 0.0, 0.0 0.1, 0.0 0.3, 0.0
C. volutator 12.4*, 11.3* 15.3*, 15.6* 13.9*, 14.1* 20.3*, 21.9* 13.3*, 11.5* 18.5*, 19.5* 16.4*, 17.6*
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Taxon AV–GA AV–DF AV–MP MC–PC MC–GA MC–DF MC–MP
Ostracoda 15.6*, 14.5* 10.1*, 10.4* 9.9*, 10.7 2.8, 2.6 25.1*, 25.6* 8.7, 7.2 6.9, 6.9
Copepoda 17.5*, 15.5* 15.1*, 12.5* 15.7*, 13.2* 18.6*, 11.5* 15.7, 12.5* 17.2*, 12.6* 16.7*, 13.3*
Macoma spp. 5.9, 6.3* 7.0*, 4.9 6.8*, 6.2 11.4*, 13.1* 8.2*, 7.6* 9.9*, 11.9* 9.0*, 10.4*
N. obsoletus 2.7*, 2.8* 2.9*, 3.2* 2.8*, 3.0* 2.0*, 2.4* 2.5*, 2.5* 2.1*, 2.6* 2.4*, 2.7*