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PRIMARY RESEARCH PAPER
Local consumers are the first line to control biologicalinvasions: a case of study with the whelk Stramonitahaemastoma (Gastropoda: Muricidae)
A. Giacoletti . A. Rinaldi . M. Mercurio .
S. Mirto . G. Sara
Received: 30 October 2015 / Revised: 8 January 2016 / Accepted: 9 January 2016
� Springer International Publishing Switzerland 2016
Abstract The increasing spread of invasive species
in the Mediterranean Sea determines several alter-
ations in local food webs, changing the feeding habits
of native organisms. The whelk Stramonita haemas-
toma is a widespread Mediterranean gastropod that
consumes bivalves, barnacles and limpets. Previous
studies showed a shift in its diet from the bivalve
Mytilaster minimus to the invasive mussel Brachidon-
tes pharaonis, presumably due to a higher energy gain.
Here we tested whelks’ preference among natives and
a novel prey, calculating the profitability ratio, and
integrating those results with biochemical analysis on
prey tissues and the routine metabolism of the whelks.
Further, we used the scaled functional response as a
theoretical tool to describe whelk ability to obtain
energy from their environment by using four different
prey species: B. pharaonis, Mytilus galloprovincialis,
M. minimus and Patella caerulea. Whelks evidenced a
Type II functional response for all prey, while
Brachidontes displayed a lower attack rate and a
higher handling time. Stramonita showed a greater
preference for Brachidontes, that resulted as the prey
with the higher energetic content, and the second most
profitable after Patella. This suggests that the higher
energy gain is behind the change in the predator’s diet,
with possible effects on its energy budget.
Keywords Invasive species � Functional response �Gastropod � Mussels � Stramonita haemastoma �Brachidontes pharaonis
Introduction
There are only so many ways in which local commu-
nities can control biological invasions. Autochthonous-
predators (sensu Schoener, 1986) are usually the first in
line to influence the likelihood of invasion (Ricciardi
et al., 2013). Invaders—often r-strategists—deploy
their pronounced ability to compete for space—by
exploiting local resources and promptly addressing
local establishments. The importance of both predators
and top-down control in structuring ecological com-
munities has to date been widely discussed by ecolo-
gists, and the loss of predators may provide an
important example of how they shape marine environ-
ments (Terborgh, 2010). In particular, the common
Indo-Pacific mussel Brachidontes pharaonis (Fischer
P., 1870), which entered the Mediterranean Sea after
the opening of the Suez Canal (1869), is slowly
Handling editor: Vasilis Valavanis
A. Giacoletti � A. Rinaldi � M. Mercurio � G. Sara (&)
Dipartimento di Scienze della Terra e del Mare,
University of Palermo - Local UO CoNISMa, Viale delle
Scienze Ed. 16, 90128 Palermo, Italy
e-mail: [email protected]
A. Rinaldi � S. Mirto
IAMC-CNR, via Giovanni da Verrazzano 17,
90194 Castellammare del Golfo, Trapani, Italy
123
Hydrobiologia
DOI 10.1007/s10750-016-2645-6
colonising near all rocky upper subtidal and lower
intertidal substrates (Safriel & Sasson-Frosting, 1988)
in the south-western Basin (Sara et al., 2013), thereby
outcompeting the native bivalve Mytilaster minimus
(Poli, 1795) (Safriel & Sasson-Frosting, 1988). In sea
locations, however, it seems that the initial Brachidon-
tes colonisation process is constrained by predators,
such as Muricid gastropods (Rilov et al., 2002), which
are able to regulate the population dynamics of their
prey (Safriel et al., 1980). In the Mediterranean Sea, the
whelk Stramonita haemastoma (Linnaeus, 1767; Gas-
tropoda: Muricidae) is a widely distributed intertidal
top consumer that adopts opportunistic strategies to
consume a large number of species (Basedow, 1994).
Before dense beds of the invading mussel B. pharaonis
were established along the Israeli Mediterranean coast,
indigenous barnacles, small native mussels, Vermeti-
dae gastropods and limpets were the main potential
food items for S. haemastoma (Rilov et al., 2001).
Previous laboratory experiments have shown that B.
pharaonis was the food item preferred by S. haemas-
toma over the indigenous mussels and barnacles (Rilov,
1999), and that in sites where it was abundant (densities
[25 % of the available prey), it constituted the whelks’
main food, except when energetic limitations ‘‘forced’’
the predator to prey on the more abundant, but
presumably less profitable prey (Rilov et al., 2002).
Trophic interactions are generally well described by
functional response models quantifying consumer per
capita consumption rate depending on local prey
abundance (Holling, 1959). Several authors have
measured the number of prey eaten by single predators
in small ‘‘arenas’’ (Hassel, 1978; Lang et al., 2012;
Toscano et al., 2014), in order to eliminate the
possibility of seeing anything other than prey depen-
dence (Abrams & Ginzburg, 2000). Using the func-
tional response can explain and predict the impact of
predators on prey populations (Juliano, 2001; Dick
et al., 2013). In particular, Twardochleb et al. (2012)
showed that the functional response might predict,
along with simple population growth models, whether a
predator will provide biotic resistance against non-
native preys at different prey densities. This prediction
is made by determining the functional response shape
and parameters (a, h). Predator functional responses
interact with prey birth rate and abundance, and the
magnitude of this interaction is reflected in the shape of
the curve (Type II or III) and the intensity of the attack
rate (a) (Twardochleb et al., 2012). According to the
current literature, functional response experiments in
the natural field are quite rare. We thus decided to focus
on laboratory feeding trials at different prey densities.
Our specific aims were to investigate the prey choice
process by studying prey profitability and assimilation
efficiency, and comparing experimental results to their
respective energetic content derived from biochemical
analyses. We further estimated the routine metabolism
of S. haemastoma by measuring the oxygen consump-
tion rate. At the same time, we derived the functional
response of S. haemastoma over B. pharaonis, com-
paring it with some of their most common indigenous
prey, the model species used many times in companion
studies: mussels Mytilus galloprovincialis (Lamark,
1819) (Sara et al., 2011; Montalto et al., 2014) and M.
minimus (Sara & De Pirro, 2011), and the limpet
Patella caerulea (Linnaeus, 1758) (Prusina et al., 2014)
in order to analyse predator–prey trophic interactions in
greater detail. We examined whether (i) whelks exhib-
ited a Type II or Type III functional response; (ii)
functional responses differed between natives and a
novel prey and (iii) the new prey determines changes in
the whelk’s ecology by altering functional response
parameters such as the attack rate (a) and prey handling
time (h), affecting the duration and the cost of the
predatory event, with a probable different energy intake
from the new prey.
Materials and methods
Sampling and experimental design
Specimens of S. haemastoma were collected alive at
low tide during February 2014 from the intertidal
shores near San Vito Lo Capo and the natural reserve
of Monte Cofano (Castelluzzo, Trapani). Whelks were
brought back to the laboratory and placed in a 60-l
aquarium at room temperature (18–20�C) and seawa-
ter salinity (37–38%) and they were allowed to
acclimate for 1 week to reduce stress generated by
manipulation and transport (Garton & Stickle, 1980).
Specimens were then gradually transferred from room
temperature, at daily increase of *1 to 24�C, the
optimal experimental temperature to elicit maximum
feeding rates in the lab (Rilov, 1999; Brown & Stickle,
2002). Having reached this experimental temperature,
whelks were constantly acclimated there for 10 days,
with no feeding (Garton & Stickle, 1980) prior to the
Hydrobiologia
123
start of the experiment. We thereby standardised the
hunger level (Garton & Stickle, 1980). Aquaria used in
the present study comprised n = 10-1l independent
plastic compartments (15 9 8 cm base, 10 cm
height), each containing a single whelk. We decided
to use individual arenas so that feeding would not be
affected by scents from surrounding treatments, as
gastropods use chemosensory cues to find food (Smith,
1983). Each aquarium was aerated, and kept under
constant light, while seawater was changed after each
trial. All the experiments were repeated twice for each
treatment.
Prey selection
While previous studies have determined the prefer-
ence of the Lessepsian species B. pharaonis over the
indigenous mussel M. minimus, the barnacle Balanus
perforatus, and the limpet P. caerulea (Rilov et al.,
2002), we conducted two further laboratory experi-
ments, both aiming for greater detail of the S.
haemastoma prey preferences. In particular, we com-
pared the preference of S. haemastoma feeding on B.
pharaonis vs. the mussel M. galloprovincialis and
repeated trials with the limpet P. caerulea, following
the experimental design proposed by Underwood &
Clarke (2005). Each experiment was replicated twice
for each treatment, with prey of standard shell length
chosen as these corresponded to the most common
prey upon which the whelks were observed feeding in
the field (author’s pers. obs.):B. pharaonis (25–35 mm),
M. galloprovincialis (25–35 mm), and P. caerulea
(20–25 mm) were offered to medium size
(40–45 mm) whelks. To reduce the likelihood that
further encounters with the same type of prey may
increase the predator experience by artificially affect-
ing the handling efficiency (Rovero et al., 1999), these
authors suggested simultaneously offering two differ-
ent prey species (B. pharaonis and M. galloprovin-
cialis, B. pharaonis and P. caerulea) to each
individual whelk. The trial ended as soon as whelks
had made their choice of prey. Attacks were consid-
ered to start when we inserted prey in the arena and
ended when a feeding S. haemastoma crawled away
from its first prey. To meet the independence criterion
(Underwood, 1997), each whelk was used in only one
experimental trial and then killed by gentle freezing.
Profitability of prey
We also compared the biomass of the different prey by
calculating their individual dry weights (oven 95�C for
24 h) and the ash content of their flesh (muffle furnace
at 450�C for 4 h) to estimate the organic matter as
Ash-Free Dry Weight (AFDW) to the nearest 0.001 g.
Then, to assess the profitability of different prey, we
divided per capita dry tissue by handling times for
each prey species, according to Brown & Richardson
(1987).
Biochemical analysis of prey
A sample of n = 10 specimens for each prey (B.
pharaonis, M. minimus, P. caerulea) was analysed to
determine the protein, carbohydrate and lipid content
(Modica et al., 2006). The values for M. galloprovin-
cialis were derived from the literature (Okumus et al.,
1998; Orban et al., 2002). Protein (PRT) determination
was carried out according to Hartree (1972) and
modified by Rice (1982), using bovine serum albumin
(BSA) as a standard. Carbohydrates (CHO) were
determined according to Dubois et al. (1956) using
D(?)glucose as a standard. Lipids (LIP) were
extracted using the method of Bligh & Dyer (1959)
and measured according to Marsh & Wenstein (1966).
Tripalmitine was used as a standard. The caloric
content of mussel flesh was calculated using the
equation:
Kcal g�1 ¼ 0:041%CHO þ 0:055%PRT
þ 0:095%LIP
where CHO, PRT, and LIP are, respectively, the
percentage content of carbohydrate, protein, and lipid
(Winberg, 1971). Caloric values expressed in Kcal g-1
were finally converted into J g-1 and related to the
average tissue of each prey species.
Assimilation efficiency
As part of the manipulation, we also obtained a
qualitative estimate of the whelk’s assimilation effi-
ciency (AE). For every prey, AE was measured by the
ratio method of Conover (1966):
AE ¼ F � Eð Þ=½ 1 � Eð ÞF�
Hydrobiologia
123
where F is the ratio between ash-free dry weight
(AFDW) and dry weight (DW) for food, and E is the
same ratio for the faeces; this represents the efficiency
with which organic material is absorbed from the
ingested food material. Here, 15 specimens of S.
haemastoma feeding on each prey, acclimated as
above, were used to estimate whelk AE in a simple
feeding trial, where one prey was offered to a single
predator. According to experiments conducted on
other whelks, such as Rapana venosa (Valenciennes,
1846), the emptying of 1 g fresh mussel started soon
after food was digested and lasted for about 8 h
(Seyhan et al., 2003). In this study, we were not
interested in estimating the evacuation time for S.
haemastoma, so the whelks were given 24 h after the
predation event for the complete collection of faeces.
Once collected by pipettes, faeces were washed with
0.5 M ammonium formate (purest grade) to remove
adventitious salts (Widdows & Staff, 2006), placed on
small aluminium disposable dishes, dried in the oven
(95�C for 24 h), and then incinerated in a muffle
furnace (450�C for 4 h). After each step, the samples
were weighted using a precision balance (Sartorius BL
120S ± 1 lg). For the calculation of AE, together
with the faeces collected from the whelks, 10 prey of
each type were weighted, after removal of tissues, then
dried and incinerated as above.
Respiration rate
Rates of oxygen consumption by single whelks were
measured in a respirometric glass chamber (0.3 l) in a
temperature-controlled water bath. Air-saturated fil-
tered seawater was added to each respirometric cham-
ber and stirred with a magnetic stirrer bar beneath a
perforated glass plate (e.g. small Petri dish with holes)
supporting each individual (Widdows & Staff, 2006).
The decline in oxygen concentration was measured by a
calibrated oxygen fibreglass sensor connected to a data
logger (PyroScience Firesting O2), capable of four
sensor connections. We used a total of n = 10 animals
for this experiment, acclimated as above, and then fed
ad libitum for one week until the day before the
experiment. The decline was continuously recorded for
at least 1 h, excluding the initial period (*10 min)
when there is a more rapid decline in oxygen caused by
a disturbance of the sensor’s temperature equilibration.
Respiration rate (RR, lmol O2 h-1) was calculated
according to Widdows & Staff (2006):
RR ¼ Ct0 � Ct1ð Þ � Volr � 60 t1 � t0ð Þ�1
where Ct0 is oxygen concentration at the beginning of
the measurement, Ct1 is the oxygen concentration at
the end of the measurement, and Volr is the volume of
water in the respirometric chamber. After the mea-
surement, each animal was killed by gentle freezing
and dissected, and shell was separated from body
tissue, in order to calculate their individual dry
weights and standardise respiration rates to body
weights. Respiration rates were finally converted into
an energetic cost of routine activities, expressed in
J g-1 day-1 for a cost/benefit analysis.
Predation time
Predatory activity is usually described by two mutually
exclusive phases comprising the functional response of
Holling (1959): searching time and food handling.
These components of feeding behaviour can be
integrated in a cost-benefit analysis, to determine the
optimum maximising the net rate of energy intake
(Pyke & Charnov, 1977). Four experiments were
conducted in order to investigate and measure the
foraging behaviour of S. haemastoma towards four
different prey species: B. pharaonis (25–35 mm), M.
minimus (*10 mm), M. galloprovincialis (20–30 mm)
and P. caerulea (*20 mm). In each session, one
specimen was offered to a single whelk acclimated as
above, and the trial was repeated for each prey species,
in order to compare the predator’s responses. Whelk
behaviour was recorded with a USB web camera placed
in front of the experimental aquarium, connected to a
laptop computer running video capture software (Debut
video capture software, http://www.nchsoftware.com/
capture/). Searching and handling times were then
recorded to the nearest second from the acquired videos
through a digital chronometer. The response period
began when the siphon protruded through the siphonal
canal, the foot was extended, and the shell lifted to
move towards the prey. Searching time ended once the
whelk was on top of its prey; at this point, the handling
time began. This then ended when the whelk crawled
away from the prey at the end of the predatory event. As
we were only interested in studying the handling time of
prey, searching times were analysed only to verify the
efficiency of the arena in standardising the searching
component, as long as it requires a different study
approach and probably field observations. During
Hydrobiologia
123
experimental trials, in order to simulate a natural
predatory event, the prey was introduced first, and left
acclimating for *1 h, before introducing the predator
and starting the recording session.
Functional response
Four experiments were conducted in order to measure
the functional response of S. haemastoma on different
prey species. Whelks involved in these experiments
were divided into four groups, and each group was
tested for a different kind of prey: the mussels B.
pharaonis, M. galloprovincialis and M. minimus, and
the limpet P. caerulea. Each experiment was repli-
cated twice: an increasing number of B. pharaonis
(25–35 mm; n = from 1 to 6) or M. galloprovincialis
(25–35 mm; n = from 1 to 7), or M. minimus
(*10 mm; n = from 1 to 11), or P. caerulea (20–
25 mm; n = from 1 to 6) were offered to 40–45 mm
predators, and the consumed items were counted after
a period of 24 h, without replenishing them. Data from
these experiments were useful to investigate if whelks
displayed Type II or Type III functional response, and
to do this a phenomenological analysis was used
according to Juliano’s (2001) and Paterson’s (2015)
methods. All statistical analyses were performed using
R v. 3.1.3 (R Core Team, 2015). For each prey, logistic
regressions of proportion of amount killed against
density were performed using a function (frair::
frair_test) provided in an integrated package for
functional response analysis in R (frair, Pritchard,
2014). Type II functional responses were indicated by
a significant negative first-order term, whereas Type
III responses were indicated by a significant positive
first-order term followed by significant negative
second-order term (Juliano, 2001; Pritchard, 2014).
The dynamics of predator–prey systems are described
by several equations assuming either a constant prey
density (i.e. a ‘‘replacement’’ experimental design) or
a diminishing one (i.e. a ‘‘non-replacement’’ experi-
mental design). While Hollings original Type II
functional responses assume a constant prey density,
in the case of a reduction in prey density due to
consumption, Roger’s (1972) ‘‘random predator’’
equation is more appropriate (Pritchard, 2014). This
equation accounts for prey depletion and their non-
replacement over time:
Ne ¼ N0 1 � exp a Neh� Tð Þð Þð Þ ð1Þ
where Ne is the number of prey eaten, N0 is the initial
prey density, a and h are the attack rate and handling
time, respectively, and T is the total time available.
Coefficients a, h used in (1) were derived from
individual predation experiments for each prey (de-
scribed in the Predation time section); functional
response models were fitted using the maximum-
likelihood estimation (bbmle:: mle2, version 1.0.52,
Bolker and R Development Core Team, 2014).
Statistical analysis
In order to test for significant differences in handling
times between prey species and AE, a Permutational
Univariate Analysis of Variance (PERMANOVA)
was used due to different sample sizes. Analyses were
performed considering the prey species as a fixed
factor (4 levels), and variables were ln (y ? 1)
transformed to retain information on relative concen-
trations but reduce differences in scale among the
variables. The Euclidean similarity measure was used,
and all P-values were calculated using 9999 permu-
tations of the residuals under a reduced model
(Anderson, 2001). Data from prey choice experiments
were analysed using t-tests. ANOVA was performed
on biochemical data, considering the caloric content as
a fixed factor (4 levels). When significant differences
were detected, the Student–Newman–Keuls (SNK)
post hoc pair wise comparison of means was used
(Underwood, 1997). Cochran’s test was used prior to
ANOVA to test the assumption of homogeneity of
variance (Underwood, 1997).
Results
Prey selection
Stramonita haemastoma showed a larger significant
preference (4 times more) for the invasive mussel B.
pharaonis with respect to the blue mussel of similar
size (t test, P\ 0.05), while no significant preference
was exhibited by whelks between B. pharaonis and
limpets (t test, P[ 0.05; Fig. 1).
Profitability of prey
The Brachidontes pharaonis dry weight (0.15 ±
0.01 g) was similar to that of P. caerulea (0.13 ±
Hydrobiologia
123
0.02 g) and they both resulted higher than M. gallo-
provincialis (0.05 ± 0.01 g) and M. minimus
(0.0049 ± 0.0005 g) (ANOVA P\ 0.001; Table 1).
When dry masses of prey were divided by handling
times, S. haemastoma showed greater profitability
ratios for Patella (PERMANOVA P\ 0.01; Table 2;
Fig. 2a) then in order for Brachidontes (P\ 0.001),
Mytilus (P\ 0.01) and Mytilaster (P\ 0.001).
Biochemical analysis
Brachidontes pharaonis resulted in a significantly
higher energetic content (20,983 ± 1,375 J/ind.)
compared to native prey, that resulted, respectively,
in: 580 ± 28 J/ind. for M. minimus (*10 mm), and
12,870 ± 2,188 J/ind. for P. caerulea (20–25 mm),
while the energetic content of M. galloprovincialis
derived from the literature was equal to 10,052 ±
669 J/ind. (ANOVA P\ 0.001; Table 1; Fig. 2d).
Assimilation efficiency
AE showed no differences between B. pharaonis
(0.70 ± 0.02), M. galloprovincialis (0.66 ± 0.01) and
P. caerulea (0.77 ± 0.03) (PERMANOVA P[ 0.05;
Table 3; Fig. 2c), while M. minimus (0.57 ± 0.04)
resulted in a significantly lower AE (P\ 0.05). P.
caerulea further resulted in an higher AE compared to
M. galloprovincialis (P\ 0.001) and M. minimus
(P\ 0.01), while the two native mytilid species
showed a non-significantly different AE (P[ 0.05).
Respiration rate
The average energetic cost of routine metabolism
derived from the measurement of oxygen consumption
resulted equal to 194.29 ± 27 J g-1 day-1.
Predation time
Searching times within experimental arenas resulted
not different among different prey (PERMANOVA
B. pharaonis P. caerulea0
10
20
30
40
50
60
70
80
90
100%
Pre
y ch
oice
B. pharaonis M. galloprovincialis
Prey species
Fig. 1 Results of prey choice experiment on different prey
items in laboratory
Table 1 ANOVA table of results (dry weights and energetic content) of different prey species consumed by S. haemastoma
(* p\ 0.05; ** p\ 0.01; *** p\ 0.001; ns not significant)
Dry weight Energetic content
Source df MS F P Source df MS F P
DW 3 0.049 30.79 *** Joule 3 26.131 861.38 ***
Res 36 0.0016 Res 36 0.0303
Table 2 PERMANOVA table of results (profitability) and group analysis of different prey species consumed by S. haemastoma
(* p\ 0.05; ** p\ 0.01; *** p\ 0.001; ns not significant)
Source df MS Pseudo-F P(perm) Groups (Ht) t P(perm) Unique perms
Sp 3 0.000000607 23.881 *** Bp, Pc 3.408 ** 2867
Res 21 0.000000025 Bp, Mg 3.72 ** 2887
Bp, Mm 9.765 *** 2884
Pc, Mg 3.785 * 126
Pc, Mm 5.697 ** 126
Mg, Mm 7.238 ** 126
Bp = B. pharaonis, Pc = P. caerulea, Mg = M. galloprovincialis, Mm = M. minimus
Hydrobiologia
123
P[ 0.05) (32.1 ± 9.9 min. for B. pharaonis, 14.0 ±
6.4 min. for M. galloprovincialis, 61.8 ± 14.8 for M.
minimus and 44.4 ± 21.7 min. for P. caerulea). By
contrast, the main component of feeding measured in
this study, handling time, showed significant differ-
ences (PERMANOVA P\ 0.001; Table 4; Fig. 2b)
(301.2 ± 35.8 min. for B. pharaonis, 151.5 ± 11.1
min. for M. galloprovincialis, 134.2 ± 40 for M.
minimus, and 131 ± 32.24 min. for P. caerulea). In
particular, handling times with B. pharaonis were
greater than those exhibited by whelks feeding on the
other prey species. Whelks did not show significantly
Table 3 PERMANOVA table of results and group analysis for assimilation efficiency (AE) of different prey species consumed by S.
haemastoma (* p\ 0.05; ** p\ 0.01; *** p\ 0.001; ns not significant)
Source df MS Pseudo-F P(perm) Groups T P(perm) Unique perms
Sp (species) 3 5.8615E-2 7.014 *** Bp, Pc 1.708 ns 9843
Res 59 8.3567E-3 Bp, Mg 1.787 ns 9824
Bp, Mm 2.676 * 4181
Pc, Mg 3.667 *** 9818
Pc, Mm 3.187 **
Mg, Mm 1.976 ns
Bp = B. pharaonis, Pc = P. caerulea, Mg = M. galloprovincialis, Mm = M. minimus
P. caerulea B. pharaonis M. galloprovincialis M. minimus0.0000
0.0002
0.0004
0.0006
0.0008
0.0010
0.0012 SNK: Patella > Brachidontes > Mytilus > Mytilaster aPr
ofita
bilit
y In
dex
(DW
/ H
T of
pre
y)
B. pharaonis M. galloprovincialis M. minimus P. caerulea0
20406080
100120140160180200220240260280300320340360 b
Prey species
Han
dlin
g tim
e (m
in. ±
s.e
.)
P. caerulea B. pharaonis M. galloprovincialis M. minimus0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0c
Ass
imila
tion
effic
ienc
y (A
E, a
dim
ensi
onal
)
B. pharaonis P. caerulea M. galloprovincialis M. minimus0
150030004500600075009000
1050012000135001500016500180001950021000225002400025500
SNK: Brachidontes > Patella > Mytilus > Mytilaster d
Ener
getic
con
tent
(J/p
rey
± s.
e.)
Fig. 2 a Profitability Index of prey (dry tissue consumed per
prey/handling time); b handling times recorded from video
analysis for different prey species; c assimilation efficiency
(AE) calculated for the different preys; d energetic content (J/
prey) calculated from LPG analysis of tissues from the different
species
Hydrobiologia
123
different handling times among native prey species
(P[ 0.05).
Functional response
Phenomenological analysis showed that S. haemas-
toma met the Type II functional response for each prey
species, as revealed by the significant negative first-
order term (Table 5; Fig. 3a–d). Brachidontes resulted
in a significant lower attack rate (0.103 h; Table 5)
respect to M. minimus (0.267 h), while it resulted in
the higher handling time (5.8 h) followed by M.
galloprovincialis (5.696 h), P. caerulea (4.438 h) and
M. minimus (2.799 h). Rogers’ analysis further con-
firmed that the whelks spent significantly more time
handling B. pharaonis than the other native prey
(Table 6).
Discussion
Foraging for food in the rocky intertidal zone involves
a number of potential dangers, such as exposure to
predators and the increased likelihood of being
dislodged or affected by thermal stress (Burrows &
Hughes, 1989; Denny et al., 2009). Longer handling
times imply greater risks to the predator that must be
compensated at least by a higher energy gain, in order
to justify the choice and fulfil energetic requirements
for routine metabolism, as measured in the present
study. Before the dense beds of the invading mussel B.
pharaonis were established along the Mediterranean
coast, the indigenous mussels, limpets and barnacles
constituted the main food items of S. haemastoma.
Here, according to our results, the invasive species
showed, in the following order, the highest edible
tissue content, the highest energy gain from consump-
tion and generated the best assimilation efficiency in
whelks, thereby justifying the switch to the alien
species as showed by Rilov et al. (2002). This change
in preference may also be part of some ecological
processes controlling the abundance and biogeograph-
ical range size of an invasive species, and even its
impacts within a community (Maron & Marler, 2008;
Ricciardi et al., 2013). From surveys conducted during
the same period along the intertidal zone of Castel-
luzzo (Trapani), not affected by noticeable anthro-
pogenic activities as trampling (Milazzo et al., 2004)
or whelk harvesting, and Capo Gallo - Isola delle
Femmine, where trampling and harvesting are usually
much more intense due to the proximity to the city of
Palermo, S. haemastoma densities, recorded along
100 9 1 m transects, resulted *0.56 ind./m2 and
*0.03 ind./m2, respectively (A. Giacoletti, pers. obs.).
The presence ofP. caeruleawas recorded in both sites,
while B. pharaonis, occasional and rare in Castel-
luzzo, reached more than 9000 individuals ± 4033
ind. per m2 in the second site (Isola). M. minimus
reached densities of *19,753.3 ± 9,445 ind./m2 (G.
Sara, unpublished data) in Castelluzzo, while very low
Table 4 PERMANOVA table of results (handling time) and group analysis of different prey species consumed by S. haemastoma
(* p\ 0.05; ** p\ 0.01; *** p\ 0.001; ns not significant)
Source df MS Pseudo-F P(perm) Groups (Ht) t P(perm) Unique perms
Sp 3 1.48 6.7366 ** Bp, Mg 3.532 ** 2887
Res 22 0.21 Bp, Pc 3.763 ** 5623
Bp, Mm 3.505 ** 2890
Mg, Pc 1.001 ns 461
Mg, Mm 0.928 ns 462
Pc, Mm 0.019 ns 461
Bp = B. pharaonis, Pc = P. caerulea, Mg = M. galloprovincialis, Mm = M. minimus. Ht handling time
Table 5 Phenomenological analysis of the functional
responses for each prey species (* p \ 0.05; ** p \ 0.01;
*** p\ 0.001; ns not significant)
Prey species Type II
N0 P
B. pharaonis -0.2937 *
M. galloprovincialis -0.4788 ***
M. minimus -0.4036 ***
P. caerulea -1.1440 *
Hydrobiologia
123
densities were evident in site 2 (Isola), probably due to
the competition with the invasive mussel. The lack of
an important predator may be one of the factors,
together with other abiotic characteristics of the site
not considered in this study, that explain this remark-
able difference in density and abundance of B.
pharaonis between the two sites. Under natural
conditions, whelks tend to select prey of optimal size,
such as those chosen for this study, thereby exhibiting
an active choice of an easily accessible or energeti-
cally rich species of prey over others (Garton, 1986;
Brown & Richardson, 1987; Brown, 1997), gaining
Table 6 Phenomenological analysis of the functional responses: attack and handling parameters estimate for each species
(* p\ 0.05; ** p\ 0.01; *** p\ 0.001; ns not significant)
Prey Parameter Estimate SE z value P (z)
B. pharaonis a 0.103 0.051 2.008 *
h 5.807 2.074 2.800 **
M. minimus a 0.267 0.064 4.179 ***
h 2.799 0.277 10.096 ***
M. galloprovincialis a 0.322 0.191 1.687 ns
h 5.696 0.945 6.027 ***
P. caerulea a 0.504 0.315 1.602 ns
h 4.438 0.758 5.854 ***
0
1
2
3
4
5
6 aM
ean
B. p
hara
onis
eat
en (±
SE)
0
1
2
3
4
5
6 b
Mea
n M
. gal
lopr
ovin
cial
is e
aten
(±SE
)
0
1
2
3
4
5
6
7
8 c
Mea
n M
. min
imus
eat
en (±
SE)
0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8
0 1 2 3 4 5 6 7 8 9 10 11 12 0 1 2 3 4 5 6 70
1
2
3
4
5
6 d
Prey density, n
Mea
n P.
cae
rule
a ea
ten
(±SE
)
Fig. 3 a–d Functional response: relationship between prey eaten (items consumed in 24 h) and prey density
Hydrobiologia
123
the most energy with the least handling effort. Our
profitability data confirmed this statement, with our
whelks actively selecting prey characterised by the
higher tissue content such as P. caerulea and B.
pharaonis. Palmer (1983, 1984) demonstrated that prey
selection in three thaidid species could be explained by
the food value of prey provided in an enclosed arena.
Food value integrates several complex factors deter-
mining prey choice: energy content, abundance and
vulnerability (handling time) of a prey species. Accord-
ing to this theory, and as demonstrated by our results,
the change in feeding preferences is driven by the
higher profitability (energy gain relative to energy
expenditure, Garton, 1986) of the invasive mussel
compared to the native prey, and suggests the whelk’s
ability to assess the prey’s value, regardless of their
feeding history, as hypothesised by Rilov et al. (2002).
Accordingly, the present S. haemastoma significantly
preferred the invasive species to their regular food item,
such as barnacles and mussels (Rilov, 1999) with the
exception of, in our study, the limpet P. caerulea. This
suggests that the prey’s energetic content was important
in the choice of species singularly because whelks, with
the invasive species, could attain foraging optimisation
(Krebs & Davies, 1993). The ability of S. haemastoma
to assess food value has also been shown by other
authors (Richardson & Brown, 1990; Brown, 1997), but
the current study has finally demonstrated that the
content of edible tissue (biomass) plays a more
important role than handling time in determining
profitability. Our study supported this hypothesis, i.e.
that whelks actively preferred mussels with a greater
amount of edible tissue like B. pharaonis to M.
galloprovincialis and M. minimus, despite an appar-
ently longer handling time being necessary. Our trials,
however, revealed no such preference between B.
pharaonis and the limpet P. caerulea, in contrast to
what has been previously demonstrated (Rilov et al.,
2002), probably because of the similar edible biomass
of the two species, that led to an equal choice. Rilov
et al. (2002) recorded handling times between 3 and
16 h on the same type and size of prey (B. pharaonis
25–35 mm), while handling times from our experi-
mental trials ranged between 2 and 9 h. Such handling
times varied widely for different kinds of prey: 2–3 h
for M. galloprovincialis, and 1–4 h for M. minimus and
P. caerulea (Fig. 2b).
One of the most important ecological extrapola-
tions from our results on functional response is the
effect of a predator on prey at low prey density. The
pattern of food consumption in relation to food density
in our whelks met the Type II Holling functional
response for both invasive and indigenous prey. While
in the Type II function, as in the Type III, the number
of killed prey approaches the asymptote following a
sigmoid function, the first part of the Type II curve is
exponential. Such a fact is crucial as it describes a
consumption rate that increases exponentially for low
densities of prey even though it gradually slows down
to an asymptote. This type of function is usually
defined as destabilising at low densities (Dick et al.,
2013). The main consequence is that handling time
can be the limiting factor in the feeding process.
Ecological repercussions will occur if local recipient
communities have predators displaying Type II
Holling functional response at their top, but the
colonisation of new invaders can result in different
fates if they have Type II or Type III predators as, in
the second case, they are not able to exclude invasive
species when they are at low density. This is an
important ecological aspect that has only recently been
considered in the biological invasion literature (Dick
et al., 2013, 2014; Dodd et al., 2014; Paterson et al.,
2015). Indeed, according to a common scheme (Drake
& Lodge, 2006), an invasive species reaching new
recipient sites with habitat-suitable conditions for its
establishment (Peterson & Vieglas, 2001; Sutherst,
2003) and with a sufficient propagule pressure (Drake
& Lodge, 2006), starts to increase the population
density, intercepting local resources, as shown by
Leung et al. (2004) and Mack et al. (2000). In most
invaders, the first period of colonisation is delicate: the
initial small nucleus of an invasive species should
contrast with the suppressing effects of environmental
stochasticity and with the biotic resistance exerted, for
instance, by the local presence of predators (e.g. all
components of the Allee effect). Thus, if local
predators possess Type II or Type III functional
response characteristics, this becomes crucial in
addressing the new establishment of the introduced
species (sensu Drake & Lodge, 2006). From recent
surveys conducted at site 1 (Castelluzzo), whelks seem
able to control densities of possible invaders such as B.
pharaonis, and may have sufficient plasticity to
modify feeding patterns in order to accommodate this
new species in their diet. Predation rates derived from
functional response modelling seem somewhat
reduced on Brachidontes (lower attack rates and
Hydrobiologia
123
higher handling times) when compared to native prey,
but this may be attributed to either longer manipula-
tion time or satiety, eventually leading to an higher
energy gain. There is currently limited knowledge
about the absorption efficiency of marine predatory
gastropods, so our results can only be compared to a
few others. These do report similar absorption effi-
ciency for predatory gastropods of the same class-size
(e.g. Huebner & Edwards, 1981). Other comparisons
have also been made via experiments performed on
scavenger or herbivorous gastropods (Dozey-Stenton
et al., 1995; Huebner & Edwards, 1981), producing
results that do not differ greatly from our experiments.
Significant differences in the absorption efficiency
(AE) resulted between B. pharaonis and the native M.
minimus, while such differences were not detected
between Brachidontes and Patella or Brachidontes
and Mytilus. Our results demonstrate that M. minimus
showed at the same time lower tissue and energetic
content, resulting in the lower AE, this being for
reasons classified as the less profitable prey for S.
haemastoma through the profitability index (Fig. 2a).
Conclusion
Our mesocosm study confirmed that a higher energy
gain, probably due to a greater amount of edible tissue
from the novel prey, can lead the predator to a shift in
diet preference, with possible effects on its energy
budget, and implications for allocation of resources.
On the other hand, a shift such as that shown by our
whelks could also be part of an ecological process
controlling the spread and impact of an invasive
species in the Mediterranean Sea. On a small scale, on
our intertidal shores, whelks actively contributed to
containing the density of the alien species in site 1,
while harvesting whelks for human consumption
positively influenced the proliferation of alien species
in site 2, affecting the natural dynamics of food webs.
The Type II functional response has recently been
cited in the literature as able to contain the colonisa-
tion of new invaders, and the current study highlights
the importance of taking this ecological functional
trait into consideration when studying invasion pro-
cesses. Certainly, there remain other factors to be
considered in examining impacts on natural ecosys-
tems, such as habitat complexity and competition;
nevertheless, it would seem that laboratory-derived
functional response may be considered a simple, cost-
effective and accurate tool to predict ecological
impacts of invasive species on aquatic systems.
Acknowledgments PRIN TETRIS 2010 Grant (n.
2010PBMAXP_003) funded to Gianluca Sara by the Italian
Minister of Research and University (MIUR) supported this
research. We thank Dr. Francesca Ape for her help in the
biochemical analysis of prey and Anna Lossmann for the
English fine tuning. The authors declare no competing financial
interests.
Author contributions: AG and GS conceived the idea and led
the writing, AG and MM carried out all experiments in meso-
cosms, AG & AR performed modelling work and analysed
output data, SM provided grant funds for AG while GS provided
lab facilities at DISTEM and research funds.
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