· the present study analysed ontogenetic diet changes and food partitioning in haemulon spp. we...
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Reviews in Fish Biology and Fisheries ISSN 0960-3166 Rev Fish Biol FisheriesDOI 10.1007/s11160-014-9378-2
Ontogenetic diet changes and foodpartitioning of Haemulon spp. coral reeffishes, with a review of the genus diet
Pedro Henrique Cipresso Pereira,Breno Barros, Rahel Zemoi & BeatricePadovani Ferreira
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RESEARCH PAPER
Ontogenetic diet changes and food partitioning of Haemulonspp. coral reef fishes, with a review of the genus diet
Pedro Henrique Cipresso Pereira •
Breno Barros • Rahel Zemoi •
Beatrice Padovani Ferreira
Received: 2 April 2014 / Accepted: 4 November 2014
� Springer International Publishing Switzerland 2014
Abstract The genus Haemulon contains some of the
most abundant and ecologically important reef fishes
in the South Atlantic Ocean. However, their life
history attributes have not been widely studied.
Knowledge of ontogenetic changes in their resource
use is critical to understanding the processes structur-
ing natural communities. The present study analysed
ontogenetic diet changes and food partitioning in
Haemulon spp. We collected stomach contents from
276 individuals of four different size classes from four
sympatric species (H. aurolineatum, H. parra, H.
plumieri and H. squamipinna). There was a significant
difference in the proportions of prey types between
both species and size classes, providing evidence of
food partitioning. Moreover, the Bray–Curtis similar-
ity index revealed two distinct groups. The first
consisted of larger-sized fish that consumed larger
food items and the second group consisted of smaller
individuals that fed on small invertebrates. There was
an abrupt shift in the diet of Haemulon spp. at around
10.0 cm total length, a size that corresponds with the
greatest morphological changes in the genus. Addi-
tionally, the diet overlap calculated by Pianka’s index
was more evident in smaller and larger size classes
than in intermediate individuals. Together, these
observations suggest Haemulon species undergo onto-
genetic diet changes and food partitioning within
species and size classes that are associated with
changes in their habitat use, alongside morphological
changes. Further research is needed to determine their
ecomorphology and the competitive mechanisms that
allow the coexistence of several sympatric and eco-
logically similar species of the genus Haemulon.
Keywords Diet composition � Resources partition �Haemulidae � Northeast Brazil
Introduction
Coral reefs are productive habitats that offer shelter to
a highly diverse predator and prey fauna within a
complex suite of trophic relationships (Connell 1978;
Edgar and Shaw 1995). For example, the substratum
can provide habitat for many invertebrates, such as
crabs and polychaetes, which in turn represent a food
resource for several reef fishes (Parrish et al. 1985).
Coral reef fishes are one of the most diverse taxa on
coral reefs and are represented in all the trophic guilds
P. H. C. Pereira (&) � R. Zemoi
School of Marine and Tropical Biology, James Cook
University (JCU), Townsville, QLD 4811, Australia
e-mail: [email protected]
P. H. C. Pereira � B. P. Ferreira
Departamento de Oceanografia, CTG, Universidade
Federal de Pernambuco (UFPE), Av. Arquitetura, s/n,
Cidade Universitaria, Recife, PE 50670-901, Brazil
B. Barros
Museu Paraense Emılio Goeldi, Av. Perimetral SN,
Belem, Para CEP 66077-830, Brazil
123
Rev Fish Biol Fisheries
DOI 10.1007/s11160-014-9378-2
Author's personal copy
(Ferreira et al. 2004). Consequently, species diet
plasticity and ontogenetic shifts must be taken into
account during classification of reef fish into trophic
groups (Jones et al. 1991; Ferreira et al. 2004).
A large number of reef fish exhibit ontogenetic diet
changes (Schmitt and Holbrook 1984; Winemiller
1989; McCormick 1998; Grutter 2000; Dahlgren and
Eggleston 2000; Figueiredo et al. 2005). The size of
food items that are consumed is one of the most
important factors correlated with these changes (Lu-
koschek and McCormick 2001). Furthermore, changes
in species habitat use, anatomical and morphological
variation, behaviour, and feeding rates are also
important when considering ontogenetic diet changes
in reef fishes (Schmitt and Holbrook 1984; Lukoschek
and McCormick 2001; Barros et al. 2011; Pereira and
Ferreira 2013). Generally, juvenile reef fish are more
active and have higher feeding rates compared with
adults that consume larger prey (Blueweiss et al. 1978;
Yager and Summerfelt 1993). Therefore, shifts in
resource associated with ontogeny normally minimize
energetic cost and predation risk while maximizing
growth rates (Grossman 1980; Brown et al. 2002).
Differences in resource use between competing
species provide a mechanism of sustaining diverse
fauna in complex ecosystems (Pianka 1970; Colwell
and Fuentes 1975). Resource partitioning theory
predicts that whenever a species decreases the use of
shared available resources by specializing on a
specific resource, conspecific competition will
decrease more rapidly than intraspecific competition
will increase (Colwell and Fuentes 1975). Niche
partitioning can occur in three basic ways (Amarasek-
are 2003). First, the classic resource partitioning
theory assumes that different species may specialize
on distinct resources (MacArthur and Levins 1967).
Second, temporal niche partitioning predicts that
different species may be limited by the same
resources, but differ in terms of when they exploit
the resource (Armstrong and McGehee 1980; Chesson
1985). Third, species could differ in terms of where
they use their resources, thereby exhibiting spatial
niche partitioning (May and Hassell 1981; Chesson
2000). Food partitioning in regard to time and space
seems to play an important role in reef fish coexistence
(Armstrong and McGehee 1980; Pimentel and Joyeux
2010; Wollrab et al. 2013) by reducing competition
levels on sympatric species (Nithirojpakdee et al.
2012).
Species of the genus Haemulon (commonly known as
grunts) are known to conduct daily migrations from the
reef to the soft bottom, macroalgae, and seagrass beds in
tropical areas of the Caribbean and NE Brazil. These
migrations are correlated with ontogenetic changes in
their diet (Parrish 1989; Cocheret de la Moriniere et al.
2003; Nagelkerken et al. 2000; Pereira et al. 2010).
Furthermore, the feeding behaviour and the proportion of
food items consumed by grunts changes significantly
during ontogeny (Nagelkerken et al. 2000; Cocheret de la
Moriniere et al. 2003; Pereira and Ferreira 2013).
Juveniles feed primarily on small planktonic invertebrates
(e.g., copepods, amphipods, crustaceans, and polychae-
tes). In contrast, adults tend to feed exclusively on the
benthos, eating more brachyuran crabs and polychaetes
(Cocheret de la Moriniere et al. 2003). Individuals of the
genus Haemulon are also known to display changes in
foraging behaviour according to life phase and schooling
patterns. Juveniles tend to feed in the water column,
whereas adults forage primarily on sand and rock (Pereira
and Ferreira 2013). Despite this knowledge, changes in
the diet composition according to ontogeny and food
partitioning have never been analysed for Haemulon
species in the South Atlantic Ocean where they have
ecological, economical, and social importance on tropical
coral reefs (Rocha et al. 2008; Pereira et al. 2011, 2012;
Pereira and Ferreira 2012).
The present study aimed to analyse ontogenetic diet
changes and food partitioning of four competing
sympatric species of the genus Haemulon (H. auroline-
atum, H. parra, H. plumieri and H. squamipinna).
According to previous research, the four species have
similar habitat use, behaviour, and distribution in the
Atlantic Ocean (Rocha et al. 2008; Pereira and Ferreira
2013). Therefore, we tested the following questions: (1)
is there an ontogenetic diet shift within Haemulon
species and across different size classes (\5, 5.0–10,
10.0–15.0, and [15 cm)? and (2) is there any food
partitioning or diet overlap across species and size
classes? Additionally, we included a complete review on
the genus diet, including life phase and habitat use data.
Materials and methods
Study area
The studied reef complex is within the limits of the
‘‘Costa dos Corais’’ Marine Protected Area (MPA)
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that encompasses 135 km of coastline in Pernambuco
State of Northeastern Brazil. The ‘‘Costa dos Corais’’
MPA was the first Brazilian federal conservation area
that included coastal reefs and is the largest multiple-
use MPA in the country, encompassing an area of
413,563 ha (Maida and Ferreira 1997). The area has a
tropical climate with an intercalary regime of wet
(October–May) and dry (May–September) seasons
with maximum temperatures of 26–30 �C (Maida and
Ferreira 1997). The tropical coral reef ecosystem in
the Pernambuco State municipality of Tamandare is
composed of three main reef lines parallel to the coast
(Fig. 1). This research was carried out specifically on
the two most inshore reefs, as the most offshore reefs
are deeper and not yet well surveyed. The first reef is
typically exposed during the largest tidal amplitudes
and consists of large algae beds composed primarily of
macroalgae of the genera Sargassum, Caulerpa,
Udotea, Neomeris, Padina, Gracilaria, Dictyota and
encrusting coralline algae Halimeda opuntia. The
second reef is more diverse in terms of habitat,
comprising small patch reefs, narrow channels, and
pools with sandy bottoms. This habitat remains mostly
submerged during low tide. The last reef represents the
characteristic shape of Brazilian coral reefs, which is
distinct from other reef systems, developing in isolated
columns of 1.2–2.0 m that coalesce at the top (Maida
and Ferreira 1997).
Collection of individuals and stomach analyses
Haemulon spp. individuals were collected multiple
times across 1 year (from December 2009 to Decem-
ber 2010) using different fishing gears to encompass
all the size classes (hand net, hook-and-line and spear
fishing). Sampling was performed along the coastal
reefs of Tamandare municipality, NE Brazil (Fig. 1).
Because Haemulon species migrate from reef to soft
bottoms at night (Cocheret de la Moriniere et al. 2002;
Burke et al. 2009), their diet may differ between day
and night. If individuals were not collected consis-
tently in the middle of the day and/or afternoon, items
ingested during the previous night would be digested
and impossible to identify. Therefore, all the samples
were collected in the middle of the day and afternoon
to avoid this issue.
After collection, all individuals were weighed, their
total length (TL) measured and the stomach contents
removed and preserved in 70 % ethanol. To analyse
ontogenetic diet changes, species were assigned into
four different size classes: Class 1 (\5.0 cm), Class 2
(5.0–10.0 cm), Class 3 (10.0–15.0 cm), and Class 4
Fig. 1 Study area highlighting the coral reef ecosystem of Tamandare complex, NE Brazil, where Haemulon spp. individuals were
collected
Rev Fish Biol Fisheries
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([15.0 cm). Individuals of the genus Haemulon also
exhibit ontogenetic patterns of coloration; therefore
these patterns were used to identify species and life
phases (Fig. 2).
Using a stereomicroscope, the relative volumetric
amount of the food items was estimated, i.e., the
volume of the contents of the digestive tract was set to
100 %, and the volumetric percentage of each food
item relative to the total stomach volume was
estimated by eye (Nielsen and Johnson 1992). A
volumetric measure was chosen because it is an
estimation of biomass, whereas gravimetric methods
would produce large errors with small volumes
because of water content (blotting would damage the
samples in some cases). Additionally, methods that
involve frequencies would underestimate large food
items and overestimate small food categories (Hyslop
1980).
Food components in the digestive tracts were
classified as Bivalvia, Gastropoda, Polyplacofora,
Cumacea, Nematoda, Ostracoda, Polychaeta, Tanaid-
acea, Copepoda, Isopoda, Amphipoda, Caridae, Sto-
matopoda, Brachyura, unidentified crustaceans, fish
fragments (e.g., scales and spines), sand or algae.
Fig. 2 Ontogenetic patterns of coloration displayed by indi-
viduals of the genus Haemulon and used to identify species and
life phases. a H. aurolineatum juvenile, b H. aurolineatum adult,
c H. parra juvenile, d H. parra adult, e H. plumieri juvenile, f H.
plumieri adult, g H. squamipinna juvenile, h H. squamipinna
adult
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Statistical analyses
We tested for differences in the stomach contents
using a two factor permutational multivariate analysis
of variance (PERMANOVA). Factor 1 comprised fish
‘Species’, with four categories (H. aurolineatum. H.
parra, H. plumieri and H. Squamipinna). Factor 2,
included ‘Size Classes’, also with four categories—
Class 1 (\5.0 cm), Class 2 (5.0–10.0 cm), Class 3
(10.0–15.0 cm) and Class 4 ([15.0 cm). During the
test, species and size classes were fixed factors,
whereas the percent volume of each food item (log
transformed) was a dependent variable. All factors
were independent and not random. This method
analyses the variance of multivariate data explained
by a set of explanatory factors based on any distance or
dissimilarity measure of choice. The method provides
P values by permutations, so that effects linked to each
factor or interaction between factors may be tested in a
robust way (Anderson et al. 2008).
The degree of food overlap among species and size
classes was analysed using a food overlap index
developed by Pianka (1973):
Oxy ¼ Oyx ¼ R XiYi=p
RXi2 � RYi2
where Oxy and Oyx represent the food overlap
between species X and Y, while Xi and Yi represent
the food item proportions. The results from the Pianka
(1973) index vary from 0 to 1, with 0 representing
complete food partitioning and 1 a total food overlap.
Moreover, values greater than 0.60 represent a high
degree of diet overlap among species and size classes
(Zaret and Rand 1971).
Multivariate analyses were also performed in
regard to the diet and size classes in the genus
Haemulon: (1) Multidimensional scaling (MDS) was
used to evaluate the proportion of the four most
important food items in regard to size (copepoda,
amphipoda, polychaetes and brachyura). (2) Cluster
analysis using the Bray–Curtis similarity index was
used to group size classes in relation to stomach
contents, and (3) Principal component analysis
(PCA) by species and size classes was used to
show the relationship between Haemulon spp. and
their diet. All the data were standardized and log-
transformed before multivariate analyses were
performed.
Primer-e 6 PERMANOVA?1.0 software (Ander-
son et al. 2008) was used to conduct the PERMANO-
VA and multivariate analyses.
Results
The proportion of prey types in the diet differed
between fish size classes for all the analysed species
(Table 1). Among the small size class (\5.0 cm), we
observed a high percentage of copepoda (34 % of the
total stomach volume) and amphipoda (20 %) in the
diet, with some differences between species. For
example, almost 25 % of the stomach contents of H.
aurolineatum was unidentified crustaceans. In con-
trast, for larger size individuals ([15.0 cm) polychae-
tes represented the most important food item (around
40 % of the stomach volume), followed by fish
fragments (e.g., scales and spines) which accounted
[15 % of the volume (Table 1). Overall, all four
Haemulon species were classified as mobile inverte-
brate feeders, capturing prey on the bottom or in the
water column depending on their size, and having a
variety of crustaceans and polychaetes in their stom-
achs (Table 1). Nevertheless, prey items of different
sizes (up to 100-fold difference) were observed in the
Haemulon spp. stomachs (Fig. 3).
PERMANOVA analyses revealed a significant
difference in the percent volume of food items between
both species (PERMANOVA, F = 7.874, P \ 0.001)
and size classes (PERMANOVA, F = 17.252,
P \ 0.001) (Table 2). Although the main food items
were similar, Haemulon species used different pro-
portions of prey between each size class (Tables 1, 2).
The four most common food items (copepoda,
amphipoda, polychaetes and brachyura) and their
proportional abundance for each size classes are
illustrated by MDS (Fig. 4). Copepoda were the most
common food item in the stomachs of H. parra, H.
aurolineatum, and H. squamipinna smaller than
5.0 cm, followed by amphipoda in individuals up to
10.0 cm. In contrast, polychaetes and brachyura were
very abundant in all Haemulon species [10.0 cm
(Fig. 4).
The dendrogram generated from the Bray–Curtis
similarity index using percentage of food items
revealed two distinct groups, with 45 % of similarity
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(Fig. 5). The first group consisted of larger size classes
that consumed mostly large items (e.g., polychaetes,
brachyura, and fish fragments). The second group
consisted of smaller individuals (\10.0 cm) that fed
preferentially on tanaidacea, copepoda, ostracoda,
isopoda, and amphipoda.
The PCA performed explained 64.4 % of the total
variability in food items, with 47.5 % of the variability
explained by PC1 (Eigenvalue 718) and 16.9 % by
PC2 (Eigenvalue 256) (Fig. 6). This analysis suggests
that small (\5.0 cm) and medium size classes
(5.0–10.0 cm) fed more on small invertebrates such
as copepoda, tanaidacea, amphipoda, and ostracoda.
In contrast, larger individuals had a higher proportion
of polychaete, brachyura, and fish fragments in their
stomachs (Fig. 6).
Diet overlap was estimated using Pianka’s index
and suggested that the food overlap for grunts species
was more evident in smaller and larger size classes,
compared with intermediate individuals (Table 3). For
instance, the diet overlap of individuals from 0 to 5 cm
between H. aurolineatum and H. squamipinna was
0.90. Similarly, the diet overlap between H. auroline-
atum and H. plumieri larger than 15 cm was high
(0.97). In contrast, for intermediate sized individuals
such as H. aurolineatum and H. squamipinna ranging
from 10 to 15 cm, diet overlap values were low (0.38)
(Table 3).
The most comprehensive review to date of the
genus Haemulon diet was also performed during the
Fig. 3 Food items recorded in Haemulon spp. stomachs, demonstrating the difference in size of items consumed (up to 100 9 mm)
Table 2 PERMANOVA analyses of the diet (% volume) of
four Haemulon species (H. aurolineatum, H. parra, H. plumieri
and H. squamipinna) and size classes (\5, 5.0–10, 10.0–15.0
and [15 cm)
Source df SS MS F P
Species 3 6.0805 20,268 7.8746 \0.001
Size classes 3 1.3324 44,414 17.256 \0.001
Esp. 9 size clas. 9 1.1464 12,738 4.9489 \0.001
Res 224 5.7655 2,573.9 – –
Total 239 8.8524 – – –
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Fig. 4 nMDS for the most common food items. a Copopoda, b Amphipoda, c Polychaeta, d Brachyura. The circles represent the
percent of the food item in the stomachs of different size classes of Haemulon spp.
Fig. 5 Similarity analyses using Bray–Curtis index with data clustered by percent of food items for Haemulon species and size classes.
H. aur, Haemulon aurolineatum; H. squ, Haemulon squamipinna; H. par, Haemulon parra; H. plu, Haemulon plumieri
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present study (Table 4). In this review, 13 Haemulon
spp. were analysed by life phase, habitat use, food
habits (% volume), and location. A total of five studies
that were distributed across the Atlantic Ocean were
included in the review (Table 4).
Discussion
The four grunt species analyzed during the present
study exhibited ontogenetic diet changes within a
South Atlantic coral reef complex. Changes in habitat
use, morphology, and anatomy are important explan-
atory variables of diet shifts in coral reef fishes
(Schmitt and Holbrook 1984; McCormick 1998;
Dahlgren and Eggleston 2000). Based on the food
items observed in the stomach contents, it is clear that
the diet of these four grunts change as a result of
changes in feeding behaviour and the preferred
feeding habitat (e.g., water column or benthic sub-
stratum). According to Pereira and Ferreira (2013),
species of the genus Haemulon have similar patterns
of feeding behaviour. However, their feeding habitat
and foraging rates change considerably during their
life history. Juveniles have high feeding rates in the
water column, whereas adults have low feeding
frequency and forage the benthic substratum (Pereira
and Ferreira 2013). This is consistent with our analysis
of stomach contents, which suggested that copepods
(planktonic species) and amphipods dominate the
stomach contents of small Haemulon spp. individuals;
whereas benthonic crabs and polychaetes were the
dominant prey items of adults.
Cocheret de la Moriniere et al. (2003) analysed
ontogenetic changes in grunt diet in the Caribbean and
also documented a change in the type of food items
consumed associated with growth. Small body size
(B5.0 cm) H. flavolineatum individuals fed primarily
on copepods (80.0 % of the stomach content). In
contrast, larger H. flavolineatum individuals
(C10.0 cm) consumed a higher proportion of mid-
sized crustaceans, such as tanaidacea (up to 50.0 % of
Fig. 6 PCA for the most important food items and size classes of the four Haemulon species
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the stomach content). Additionally, decapoda repre-
sented approximately 70 % of the diet of larger H.
sciurus (C20.0 cm) (Cocheret de la Moriniere et al.
2003). Small food items such as copepods and
ostracods are common in the diets of post-settlement
coral reef fish, when individuals are observed feeding
in the water column (Austin and Austin 1971; Grutter
2000; Lukoschek and McCormick 2001). The use of
small crustaceans by juveniles of Haemulon species
can be correlated with their patterns of foraging
behaviour. Pereira and Ferreira (2013) observed a high
proportion of juveniles of the same grunt species
foraging in the water column. Moreover, juveniles of
multiple coral reef fish families have higher foraging
rates than do adults (Van Rooij et al. 1996; Nanami
and Yamada 2008). Feeding on more abundant
planktonic prey provides sufficient food resources to
sustain higher growth rates during the juvenile life
phase (Hernaman et al. 2009).
The most distinct ontogenetic diet shift was
observed for Haemulon spp. individuals of approxi-
mately 10 cm TL, with the cluster analysis revealing
two distinct groups. This is consistent with the
observations of Gaut and Munro (1983) and Lindeman
(1986) who concluded that the strongest morpholog-
ical and morphometric changes in Haemulon individ-
uals occurs at around 10.0 cm TL (ranging from 3.9 to
9.2 cm depending on the species). These morpholog-
ical and morphometric changes are correlated with
body shape, head size, and body pigmentation. For
example, Lindeman (1986) noted that the appearance
and subsequent loss of early juvenile pigmentation in
some Haemulon spp. often coincides with ontogenetic
shifts in habitat use and feeding strategies. This
indicates that those changes are strongly correlated
with ontogenetic migrations and camouflage, as
observed for other reef fishes (Feitosa et al. 2012).
Furthermore, grunts are known to perform ontogenetic
migrations that encompass coral reefs, mangroves, and
seagrass beds (Lindeman et al. 2000; Cocheret de la
Moriniere et al. 2002; Burke et al. 2009). These
migrations are associated with changes in photic
sensitivity, gonadal development, and swimming
performance (McFarland et al. 1979; Helfamn et al.
1982; Gaut and Munro 1983). In this context, changes
in habitat use can also induce significant ontogenetic
diet changes in grunts. Changes in habitat use affect
Haemulon spp. diet in several ways: (1) differences in
prey availability between coral reefs, mangroves, and
seagrass beds (Nakamura and Sano 2005; Casares and
Creed 2008) will result in changes in the diet of a
migratory individual; and (2) changes in the fish
community between mangroves and coral reefs (Oso-
rio et al. 2011; Xavier et al. 2012; Pereira et al. in
prep.) have a direct effect of competition processes
and thus influence the grunt’s diet, regardless of their
natural preference.
Crustaceans were the dominant food items in the
stomach of Haemulon spp. for all size classes, as in
several other reef fish (Lukoschek and McCormick
2001). Small crustaceans such as amphipoda, tanaid-
acea, and isopoda were the most important food items
for intermediate size classes (5.0–10.0 cm) during the
Table 3 Diet overlap of Haemulon spp. individuals collected
from Tamandare coastal reefs using Pianka index (1973)
Size Classes Diet overlap
Individuals from 0 to 5 cm –
H. aurolineatum 9 H. parra 0.809
H. aurolineatum 9 H. plumieri –
H. aurolineatum 9 H. squamipinna 0.904
H. parra 9 H. plumieri –
H. parra 9 H. squamipinna 0.758
H. plumieri 9 H. squamipinna –
Individuals from 5 to 10 cm –
H. aurolineatum 9 H. parra 0.521
H. aurolineatum 9 H. plumieri 0.664
H. aurolineatum 9 H. squamipinna 0.535
H. parra 9 H. plumieri 0.819
H. parra 9 H. squamipinna 0.793
H. plumieri 9 H. squamipinna 0.835
Individuals from 10 to 15 cm –
H. aurolineatum 9 H. parra 0.485
H. aurolineatum 9 H. plumieri 0.513
H. aurolineatum 9 H. squamipinna 0.389
H. parra 9 H. plumieri 0.714
H. parra 9 H. squamipinna 0.582
H. plumieri 9 H. squamipinna 0.937
Individuals >15 cm –
H. aurolineatum 9 H. parra 0.744
H. aurolineatum 9 H. plumieri 0.975
H. aurolineatum 9 H. squamipinna 0.794
H. parra 9 H. plumieri 0.601
H. parra 9 H. squamipinna 0.738
H. plumieri 9 H. squamipinna 0.679
Figures higher than 0.60 (bold) represent high diet overlap
Rev Fish Biol Fisheries
123
Author's personal copy
Ta
ble
4R
evie
wo
fg
enu
sH
aem
ulo
nd
iet
wit
hd
ata
org
aniz
edb
yli
fep
has
e,h
abit
atan
dsi
te
Sp
ecie
sL
ife
ph
ase
Hab
itat
Die
t—m
ost
rele
van
t
item
s(%
vo
lum
e)
Sit
eR
efer
ence
s
Ha
emu
lon
alb
um
Ad
ult
Co
ral
reef
sS
ipu
ncu
lid
s—2
5.2
/Ech
ino
ids—
19
.9A
tlan
tic—
Car
ibb
ean
—W
est
Ind
ies
Ran
dal
l(1
96
7)
Ha
emu
lon
au
roli
nea
tum
Juv
enil
eC
ora
lre
efs
Co
pep
od
a—3
7.3
/Am
ph
ipo
da—
27
.3A
tlan
tic—
Bra
zili
anC
oas
tP
rese
nt
stu
dy
Juv
enil
eC
ora
lre
efs
Co
pep
od
a—4
0.1
/Cla
do
cera
—3
0.5
Atl
anti
c—C
olo
mb
ia(S
anta
Mar
ta)
Est
rad
a(1
98
6)
Ad
ult
Co
ral
reef
sU
ni
Cru
stac
ean
s—3
4.2
8/P
oly
chae
tes—
31
.3A
tlan
tic—
Bra
zili
anC
oas
tP
rese
nt
stu
dy
Ad
ult
Co
ral
reef
sS
hri
mp
s—3
3.6
/Po
lych
aete
s—3
1.0
Atl
anti
c—C
arib
bea
n—
Wes
tIn
die
sR
and
all
(19
67
)
Ad
ult
Co
ral
reef
sG
astr
op
od
s—2
5.5
/Dec
apo
da—
15
.6A
tlan
tic—
Car
ibb
ean
—W
est
Ind
ies
Est
rad
a(1
98
6)
Ha
emu
lon
carb
on
ari
um
Ad
ult
Co
ral
reef
sC
rab
s—3
8.3
/Gas
tro
po
ds—
15
.2A
tlan
tic—
Car
ibb
ean
—W
est
Ind
ies
Ran
dal
l(1
96
7)
Ad
ult
Co
ral
reef
sA
mp
hip
od
a—2
0.5
/Gas
tro
po
ds—
15
.2A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Ha
emu
lon
chry
sarg
yreu
mJu
ven
ile
Co
ral
reef
sC
op
epo
da—
20
.3/C
rust
acea
nL
arv
ae1
0.5
Atl
anti
c—C
olo
mb
ia(S
anta
Mar
ta)
Est
rad
a(1
98
6)
Ad
ult
Co
ral
reef
sD
ecap
od
a—4
5.6
/Gas
tro
po
ds—
15
.5A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Ad
ult
Co
ral
reef
sD
ecap
od
a—1
9.4
/Po
lych
aete
s—1
9.1
Atl
anti
c—C
arib
bea
n—
Wes
tIn
die
sR
and
all
(19
67
)
Ad
ult
Co
ral
reef
sC
rust
acea
ns—
29
.0/P
oly
chae
tes—
18
.0A
tlan
tic—
Bra
zili
anO
cean
icIs
lan
dK
raje
wsk
i(2
01
0)
Ha
emu
lon
fla
voli
nea
tum
Juv
enil
eM
ang
rov
e/se
agra
ssC
op
epo
da—
37
.6/T
anai
dac
ea—
34
.1A
tlan
tic—
Car
ibb
ean
—C
ura
cao
Co
cher
etd
ela
Mo
rin
iere
etal
.(2
00
3)
Juv
enil
eC
ora
lre
efs
Gas
tro
po
ds—
27
.6/C
op
epo
da—
24
.1A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Ad
ult
Co
ral
reef
sD
ecap
od
a—2
9.4
/Po
lych
aete
s—2
1.1
Atl
anti
c—C
olo
mb
ia(S
anta
Mar
ta)
Est
rad
a(1
98
6)
Ad
ult
Man
gro
ve/
seag
rass
Un
iden
tifi
ed—
50
.2/T
anai
dac
ea—
12
.1A
tlan
tic—
Car
ibb
ean
—C
ura
cao
Co
cher
etd
ela
Mo
rin
iere
etal
.(2
00
3)
Ad
ult
Co
ral
reef
sP
oly
chae
tes—
39
.6/D
ecap
od
a—1
5.5
Atl
anti
c—C
arib
bea
n—
Wes
tIn
die
sR
and
all
(19
67
)
Ha
emu
lon
ma
cro
sto
mu
mA
du
ltC
ora
lre
efs
Ech
ino
ids—
86
.8/D
ecap
od
a—7
.9A
tlan
tic—
Car
ibb
ean
Ran
dal
l(1
96
7)
Ad
ult
Co
ral
reef
sD
ecap
od
a—2
7.9
/Op
hiu
roid
ea—
10
.5A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Ha
emu
lon
mel
an
uru
mJu
ven
ile
Co
ral
reef
sC
op
epo
da—
10
0A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Ha
emu
lon
pa
rra
Juv
enil
eC
ora
lre
efs
Co
pep
od
a—3
5.1
/Tan
aid
acea
—2
4.1
Atl
anti
c—B
razi
lian
Co
ast
Pre
sen
tst
ud
y
Ad
ult
Co
ral
reef
sP
oly
chae
tes—
61
.2/U
ni
Cru
stac
ean
s—1
4.1
Atl
anti
c—B
razi
lian
Co
ast
Pre
sen
tst
ud
y
Ad
ult
Co
ral
reef
sS
hri
mp
s—3
7.6
/Dec
apo
da—
33
.3A
tlan
tic—
Car
ibb
ean
—W
est
Ind
ies
Ran
dal
l(1
96
7)
Ad
ult
Co
ral
reef
sP
oly
chae
tes—
30
.0/C
rust
acea
ns—
13
.0A
tlan
tic—
Bra
zili
anO
cean
icIs
lan
dK
raje
wsk
i(2
01
0)
Ha
emu
lon
plu
mie
riJu
ven
ile
Co
ral
reef
sA
mp
hip
od
a—2
9.3
/Un
iC
rust
acea
ns—
23
.1A
tlan
tic—
Bra
zili
anC
oas
tP
rese
nt
stu
dy
Ad
ult
Co
ral
reef
sP
oly
chae
tes—
24
.5/B
raq
uiu
ra—
18
.4A
tlan
tic—
Bra
zili
anC
oas
tP
rese
nt
stu
dy
Ad
ult
Co
ral
reef
sB
raq
uiu
ra—
26
.0/P
oly
chae
tes—
14
.5A
tlan
tic—
Car
ibb
ean
—W
est
Ind
ies
Ran
dal
l(1
96
7)
Ha
emu
lon
sciu
rus
Juv
enil
eM
ang
rov
e/se
agra
ssC
op
epo
da—
37
.6/T
anai
dac
ea—
34
.1A
tlan
tic—
Car
ibb
ean
—C
ura
cao
Co
cher
etd
ela
Mo
rin
iere
etal
.(2
00
3)
Ad
ult
Man
gro
ve/
seag
rass
Dec
apo
da—
50
.2/U
nid
enti
fied
—1
5.2
Atl
anti
c—C
arib
bea
n—
Cu
raca
oC
och
eret
de
la
Mo
rin
iere
etal
.(2
00
3)
Rev Fish Biol Fisheries
123
Author's personal copy
present study. These crustacean groups typically have
low dispersal capacity (Thomas 1993) and are pri-
marily associated with macroalgal beds (Jacobucci
and Leite 2002; Tanaka and Leite 2003) where they
are most likely preyed upon by the grunts. The
presence of algal fragments in the grunt’s stomachs is
indicative of incidental consumption of macroalgae
while feeding on associated invertebrates (Kotrschal
and Thomson 1986; Pereira and Jacobucci 2008;
Hammerschlag et al. 2010; Barros et al. 2013). In
addition, juvenile Haemulon spp. are one of the most
abundant reef fish that are associated with the mac-
roalgal beds in the reef complex of the present study
(Chaves et al. 2013), using these areas as nursery and
feeding grounds.
Although all species preyed upon similar prey
types, the proportion of each prey type in the diet
differed significantly among grunt species. A reduc-
tion in species food overlap is fostered by morpho-
logical differences associated with feeding; in
particular mouth position, shape, and size (Hugueny
and Pouilly 1999; Ward-Campbell et al. 2005).
Consequently, differences in the morphology of
Haemulon species are an important factor in ensuring
food partitioning. Grunts are one of the most diverse
and abundant fish on South Atlantic reefs. Despite this,
little is known about the correlation between ontogeny
and morphological and morphometric changes. Addi-
tionally, the concept of temporal niche partitioning,
proposed by Armstrong and McGehee (1976) could be
relevant. The authors hypothesized that similar food
resources could be exploited by all Haemulon species,
however the species may exploit each resource at
different times. For example, H. parra individuals are
more active during the night than other grunt species
(PHC Pereira, personal observation). Also, Nagelker-
ken et al. (2000) noted that Haemulon spp. forage in
mangroves and seagrass beds at night. The majority of
the species are primarily nocturnal, however it is
unclear what proportion of time they spend feeding
during the day and night (Hobson 1974; Starck and
Davis 1966).
Resource competition (e.g., food and space) within
the four sympatric Haemulon species is likely. This
process is highlighted by a high percentage of
agonistic interactions among them (Pereira and Ferre-
ira 2012) and also by the foraging and behavioural
similarities (Pereira et al. 2010; Pereira and Ferreira
2013). The morphological and ecological transitionsTa
ble
4co
nti
nu
ed
Sp
ecie
sL
ife
ph
ase
Hab
itat
Die
t—m
ost
rele
van
t
item
s(%
vo
lum
e)
Sit
eR
efer
ence
s
Ad
ult
Co
ral
reef
sB
raq
uiu
ra—
26
.9/B
ival
via
—1
4.5
Atl
anti
c—C
arib
bea
n—
Wes
tIn
die
sR
and
all
(19
67
)
Ha
emu
lon
squ
am
ipin
na
Juv
enil
eC
ora
lre
efs
Co
pep
od
a—2
7.1
/Tan
aid
acea
—2
8.1
Atl
anti
c—B
razi
lian
Co
ast
Pre
sen
tst
ud
y
Ad
ult
Co
ral
reef
sP
oly
chae
tes—
30
.5/B
raq
uiu
ra—
28
.4A
tlan
tic—
Bra
zili
anC
oas
tP
rese
nt
stu
dy
Ha
emu
lon
stri
atu
mJu
ven
ile
Co
ral
reef
sC
op
epo
da—
17
.1/C
rust
acea
nL
arv
ae1
0.5
Atl
anti
c—C
olo
mb
ia(S
anta
Mar
ta)
Est
rad
a(1
98
6)
Ad
ult
Co
ral
reef
sB
raq
uiu
ra—
56
.0/P
oly
chae
tes—
11
.5A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Ha
emu
lon
stei
nd
ach
ner
iJu
ven
ile
Co
ral
reef
sC
op
epo
da—
47
.1A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Ad
ult
Co
ral
reef
sG
astr
op
od
s—2
5.2
/Bra
qu
iura
—1
6.0
/A
tlan
tic—
Co
lom
bia
(San
taM
arta
)E
stra
da
(19
86
)
Rev Fish Biol Fisheries
123
Author's personal copy
between larval and juvenile life history stages are
more complicated in grunts than in many other reef
fish families (Lindeman et al. 2001) due close
similarity among grunt species (Lindeman 2006).
Moreover, the recruitment and settlement of Haemu-
lon species is influenced by multiple factors such as
depth, predation, and conspecifics presence (Jordan
et al. 2012). Consequently, recruitment success can
change dramatically among species and sites, causing
differences in the abundance of adults of sympatric
species, thus influencing competition levels.
Results from our review suggest that, despite
changes in their habitat use (e.g., coral reefs, man-
groves, or seagrass beds), species of the genus
Haemulon share similar trends in terms of the
ontogeny of their diet. Small crustaceans were the
dominant food item in the stomach contents of
juveniles whereas crabs and polychaetes were domi-
nant in the stomachs of adults at different locations in
the Atlantic Ocean (see Table 4). Moreover, this
review also highlights the fact that most feeding
studies on grunts have been performed in the Carib-
bean (75 %), despite the extreme ecological, econom-
ical, and social importance of grunts in NE Brazil. For
instance, individuals of H. squamipinna and H.
aurolineatum are extensively fished by traditional
communities in the NE Brazil, including in the area
sampled in this study (Fredou et al. 2006; PHC Pereira,
personal observation).
Understanding how similar species coexist is a
central goal of community ecology. Consequently,
several different theories suggest alternative mecha-
nisms to justify the coexistence of spectacularly high
reef fish richness. The lottery hypothesis, (Sale 1977,
1978; Munday 2004.) and neutral model (Bell 2000;
Hubbell 2001) challenge the classic and widespread
niche-partitioning theory which predicts that compe-
tition between species leads to resources partitioning,
with species using a different range of resources in the
presence of a competitor than they do in the absence of
the competitor (Colwell and Fuentes 1975; Schoener
1982; Grant 1986). In this context, reef fishes, such as
the Haemulidae used in the present study, are impor-
tant models to infer how different resource exploita-
tion (i.e., food items), alternative habitat use and also
different morphology and anatomy are likely to ensure
the coexistence of similar ecological species on coral
reefs.
In conclusion, the majority of Haemulon species
can be classified as mobile invertebrate feeders, with
evident ontogenetic diet changes. These changes are
likely associated with species habitat use and mor-
phological changes. As grunts are important both as
predators and prey to other reef species (Randall 1967;
Santos and Castro 2003; Munoz et al. 2011), they play
an important trophic role as a key species in the
Atlantic Ocean marine ecosystem. Further work is still
needed to understand the ontogenetic shifts in their
habitat use, migration, and ecomorphology.
Acknowledgments The authors would like to thank L. Chaves,
J. Feitosa, R. Moraes, and D. Medeiros for help with fieldwork and
for improving the manuscript, as well as local fisher Inho e Sandro
veio for help with fish collection. We would also like to thank M.
Jankowski, J. White and J. Johansen for assistance with English
editing and CAPES (‘‘Coordenacao de Aperfeicoamento de
Pessoal de Nıvel Superior’’) for financial support.
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