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22001177 SOUTHEASTERN NATURALIST 1V6o(4l.) :1560,3 N–5o1. 54
A Shift in Escape Strategy by Grasshopper Prey in Response
to Repeated Pursuit
Alex Collier1,* and Jay Y.S. Hodgson1
Abstract - We used grasshoppers as a model organism to examine the response of prey
to repeated approach from a persistent predator (human observer). We randomly assigned
adult Chortophaga australior (Southern Greenstriped Grasshopper) to either low- or highrisk
treatments. For both groups, we approached each grasshopper during 15 consecutive
encounters and recorded the distance fled (DF) and overall flight path. We approached
grasshoppers assigned to the low-risk treatment after a 30-second delay upon landing between
each escape flight. Those in the high-risk treatment were approached immediately
upon landing and given no opportunity to recover. Grasshoppers assigned to the low-risk
treatment exhibited an erratic, or protean flight path to evade detection and traveled shorter
distances across consecutive encounters. Those in the high-risk treatment exhibited longer
escape flights that were more commonly oriented directly away from the approach of the
observer. The results of our study provide additional evidence that prey may shift escape
strategies in response to real-time assessment of predation risk.
Introduction
There are many outcomes that can occur when prey first detect the presence of an
approaching predator. Ydenberg and Dill (1986) were the first to develop a graphical
model that considered the economic costs of escape compared to predation risk.
In their model, prey should not immediately flee upon detection of the predator;
rather, it should only initiate an escape decision, quantified as flight initiation distance
(FID), when the predator reaches a minimum distance at which the costs of
escape, such as the loss of foraging or reproductive success, equals the costs of remaining
(i.e., risk of injury or death). Stankowich and Blumstein (2005) performed
a meta-analysis that examined FID in both aquatic and terrestrial systems. They
found that prey perception of risk increased in response to predator size, approach
direction, and/or speed. Another escape variable is the distance prey travel after
initiating escape. This distance fled (DF) may also reflect a balance between risk
and cost (Cooper 2006a). Indeed, various studies have shown that the DF is influenced
by the same risk factors described above for the FID (Cooper 1997, 2006b;
Martín and López 1996; Stone et al. 1994). Regardless of which metric is used to
assess prey risk, the majority of past empirical studies have treated the interaction
between predator and prey as “static”, when in reality, prey continually update their
assessment of risk during pursuit and adjust their escape behaviors accordingly to
increase their chance of survival (Cooper 2006b).
1Department of Biology, Armstrong State University, Savannah, GA 31419. *Corresponding
author - alex.collier@armstrong.edu.
Manuscript Editor: JoVonn Hill
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To date, relatively few studies have examined how prey respond to repeated
approach from a persistent predator (summarized by Bateman and Fleming 2014).
Papers on this topic have suggested that repeated approach can affect both FID
and DF, but that the particular response varies based on the escape strategy of individual
prey species. For example, some prey, such as Podacris lilfordi Günther
(Mediterranean Wall Lizard) and Dissoteira carolina L. (Carolina Grasshopper),
respond to repeated approach by increasing both their FID and DF (Cooper 2006a,
Cooper et al. 2009). Others, including Psinidia fenestralis Serville (Longhorn
Band-wing Grasshopper), exhibit greater FID but a declining DF across consecutive
encounters, possibly due to a drop in their energetic reserves (Bateman and
Fleming 2014). Still others, like Schistocerca alutacea Harris (Leather-colored
Bird Grasshopper) exhibit no change in FID, yet their DF increased following
repeated approach (Bateman and Fleming 2014). Additional escape behaviors in
response to persistent pursuit include greater reliance on the use of refuge (Bateman
and Fleming 2014, Cooper 1997, Cooper et al. 2009, Martín and López 1999)
and a hesitancy to emerge from cover and resume normal activity (Cooper 1998,
2012; Cooper and Avalos 2010; Martín and López 1999; Rodríquez-Prieto and
Fernández-Juricic 2005). Bateman and Fleming (2014) stressed the importance of
incorporating repeated pursuit in behavioral studies to highlight the adaptive range
of escape strategies that a particular prey species may employ.
In recent years, there has been more attention placed on variation in escape
behavior between individuals in a given population (Blumstein et al. 2010, Jones
and Godin 2010). Historically, the most common behavioral response to an encounter
with a predator was considered the optimal strategy for that population
of prey. Individuals that behaved unpredictably were often viewed as maladapted
(Dall et al. 2004, Jones et al. 2011, Reale et al. 2007). However, prey populations
with higher levels of inter-individual variance may limit a predator’s ability to
develop an effective counter-strategy (Humphries and Driver 1967). In addition,
individuals that respond erratically to pursuit may further disorient the predator
and increase their own likelihood of survival (Jones et al. 2011). Unpredictable,
or protean, escape behavior is practiced by many animals including rabbits, minnows
(Driver and Humphries 1988), and grasshoppers (Bateman and Fleming
2014, Cooper 2006a). Jones et al. (2011) described this overall change in focus
from an emphasis on optimality toward a greater appreciation of behavioral variability
as a paradigm shift in behavioral ecology and the study of predator–prey
interactions in particular.
In this study, we used grasshoppers as a model organism to determine if they
would adopt different escape strategies in response to repeated approach from a
simulated predator (human observer). We focused primarily on the DF as a metric to
measure prey stress and randomly assigned grasshoppers to 1 of 2 treatment groups.
Grasshoppers assigned to the “low-risk” treatment were approached repeatedly but
only after a 30-second delay following landing from a previous escape flight. In the
“high-risk” treatment, grasshoppers were approached immediately upon landing
and had no opportunity to recover between consecutive encounters. We predicted
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that grasshoppers assigned to the high-risk treatment would exhibit a longer average
escape flight (DF) from each repeated approach and travel an overall longer
total distance (sum of jump vectors) than those approached after a brief delay. In
addition, we expected that the final landing position for high-risk prey would lie
further from the original point of release (as a single vector) compared to grasshoppers
assigned to the low-risk treatment.
Field-Site Description
We conducted the study in July 2014 on a privately owned parcel of land located
in Bryan County, GA. The study site consisted of roughly a 4046-m2 (1 acre) field
surrounded on all sides by dense stands of 12–14-year-old Pinus taeda L. (Loblolly
Pine). The field was cleared of pines in 2012, and the groundcover at the time of the
study was characterized by a variety of native perennials. These included Aristida
beyrichiana Trin. and Rupr. (Southern Wiregrass), Galactia allottii Nutt. (Elliott’s
Milkpea), Cnidoscolus urens var. stimulosus Michx. (Spurge Nettle), and sparse
patches of Eupatorium capillifolium (Lam.) Small (Dogfennel) and the invasive
Paspalum notatum Alain ex Flüggé (Bahiagrass). A small number of hardwood
trees that were not removed when the plot was cleared, including Quercus nigra
L. (Water Oak) and Liquidambar stryaciflua L. (Sweet Gum), were also scattered
throughout the study site.
Methods
Study species and sampling methodology
We divided the field-study site described above into 5-m2 quadrats marked
in an equidistant grid with surveyor flags. We labeled the rows and columns that
subdivided the field alphabetically (rows) or numerically (columns) so that grasshopper
flight patterns could be spatially mapped (see Fig. 1 for the grid layout).
We removed the bottom of a 3.8-L, 7.5-cm diameter clear plastic collection-jar
and attached an eyehook to the lid. During the study, we placed individual grasshoppers
within this open-ended chamber that rested on the ground in the center
quadrat (G6) of the subdivided field. A rope tied to the eyehook was routed
through a pulley secured to a 2-m tall shepherd hook positioned directly above the
chamber. At the start of each experiment, the observer stood 5 m directly south of
the chamber and pulled on the opposite end of the rope to lift the jar and release
the grasshopper.
We selected adult Chortophaga australior Rehn and Hebard (Southern Greenstriped
Grasshopper) for this study because of its relative abundance at the study site
and because they fly readily upon approach. In addition, males typically produce
sound (crepitation) during flight, making them relatively easy to track (Capinera et
al. 1999). We collected adult (18–28 mm) grasshoppers on-site and housed them in
grass-filled collection jars overnight prior to the morning field study. We collected
all behavioral data on sunny to partly cloudy mornings between 8:30 am and 11:00
am in temperatures between 27 oC and 32 oC. We randomly chose each grasshopper,
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Figure 1. Frequency
of landing
position by
quadrat across
c o n s e c u t i v e
encounters for
grasshoppers
assigned to
(A) low-risk,
and (B) highrisk
treatments.
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removed it from the collection jar, and immediately placed it on the ground under
the plastic chamber described above. The observer retreated to the starting position
and removed the chamber 30 seconds later by pulling on the rope.
As in past investigations, we relied on a human observer to simulate a persistent
predator (Bateman and Fleming 2014, Cooper 2006a). On each sampling day, we
randomly assigned grasshoppers to either a low- or high-risk treatment. Grasshoppers
assigned to the low-risk treatment were not approached until 30 seconds after
the chamber had been raised. At this time, the observer approached the animal
at a practiced speed of ~80 m/min and visually tracked its escape flight path and
subsequent landing position. During longer escape flights, the observer followed
directly behind but came to an immediate halt each time the grasshopper landed
and remained motionless at a minimum distance of 2–3 m away. After visually observing
the animal for 30 seconds the observer again approached the grasshopper
and inserted a numbered surveyor flag into the ground at the approximate landing
position from the previous flight. We repeated this for 15 consecutive escape flights
after release from the chamber. The numbered surveyor flags (1–15) provided a
spatial map of the landing spots between each escape flight. We immediately collected
each grasshopper upon landing after their last escape attempt. We recorded
morphological measurements including the total body length (head–abdomen) and
femur, tibia, and tarsus lengths to the nearest 0.1 mm using a vernier caliper. We
also followed the methods of Capinera et al. (1999) to determine the sex of each
individual. We later released the grasshoppers at a different location to minimize
the chance that any individual would be collected on more than 1 occasion. In total,
22 grasshoppers were assigned to the high-risk treatment and 15 were assigned to
the low-risk treatment.
We examined the flight path of each grasshopper by recording the location of
each landing site within a particular quadrat. We measured to the nearest 0.1 m the
DF for each escape flight using a rolling measuring wheel. In addition, we recorded
the total distance traveled across 15 consecutive escape flights (sum of jump vectors),
the average DF, and the distance from the final landing position to the original
release site in quadrat G6 (as a single vector). We collected the flight-path data
and morphological measurements for grasshoppers assigned to the high-risk treatment
in an identical fashion with one exception: we immediately approached the
grasshoppers assigned to this group at the same gait speed as soon as the chamber
was lifted at the start of the experiment. Upon landing after each escape attempt,
we approached these animals without delay, giving them little to no recovery period
before the next approach. We repeated this procedure for all 15 encounters.
Regardless of treatment, we commonly lost sight of the focal prey or had difficulty
distinguishing it from other nearby individuals. In these instances, we terminated
the experiment and discarded the collected data.
Statistical methodology
We conducted all analyses in NCSS 2007 statistical software using α = 0.05
unless specifically mentioned otherwise. To test for morphological differences
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between individuals randomly assigned to the high- and low-risk treatments, we
compared the variables measured using the 2-sample Hotelling’s T 2 test. A preliminary
Box’s M Test confirmed that all assumptions for this test were met. We used
separate Aspin–Welch t-tests to compare the total distance traveled across 15 jumps
(sum of jump vectors) and the distance from the final landing site to the original
starting location (a single vector) between low- and high-risk treatments. We adopted
this non-parametric alternative to the two-tailed t-test because the variances
between groups were unequal (McDonald 2014). We employed the Bonferroni correction
to select the proper confidence interval (α = 0.025) to reduce the chance of
committing a Type-I error. To determine if there were differences in the average
escape distance grasshoppers traveled across consecutive encounters, we compiled
the raw jump-length data for all individuals assigned to both low- and high-risk
treatments. We used a repeated-measures ANOVA with the Geisser–Greenhouse
adjustment to correct for sphericity to compare these data. We then conducted a
Tukey–Kramer post-hoc test because significant between-treatment differences
were detected.
In addition, we employed principal component analysis (PCA) of the jump
vectors of each grasshopper to generate separate simplified spatial-distribution
maps for the high-risk and low-risk treatments. Performing PCA on map data
is a commonly used technique (Chavez and Kwarteng 1989) because it reduces
complicated spatial variability in raw data (Euclidean distances) by generating
a normalized, uncorrelated, and lower-dimensional pattern (eigenvectors) with
minimal loss of information (Adler and Golany 2001, Horel 1981, Overland and
Preisendorfer 1981). These considerations are important to our study because the
cardinal direction of each successive jump is determined by the first jump. For
example, if the observer initially approached the grasshopper from the south,
the first jump may have been due west and the second jump after the follow-up
approach may have been due north. Alternatively, depending on the initial body
position of the grasshopper as the observer approached, the jumps may have been
due north and east, respectively. In both cases, the shared escape behaviors were
clockwise and orthogonal, but the Euclidean measurements would be very different
based solely on the randomness of the body position prior to the initial jump.
Some of this variability is shown in the contour plots in Figure 1. By using PCA,
we reduced this random effect and would be able to determine, if it existed, a
directional pattern of shared escape behaviors among grasshoppers within a treatment.
We performed PCA using the correlation matrix of each treatment. The first
2 PCA axes extracted 80.9% of the variance in the high-risk treatment and 69.1%
of the variance in the low-risk treatment, demonstrating that PCA robustly interpreted
the prevailing flight paths.
Results
There were no statistical differences in any of the morphological measurements
examined between high- and low-risk treatment groups (df1 = 4, df2 = 35, T2 =
8.68, P = 0.12). The total distance traveled across 15 consecutive jumps statistically
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differed between the low- and high-risk treatments (df = 35, t = 2.43, P = 0.0205).
Grasshoppers assigned to the high-risk treatment traveled an average of 37.0 m
compared to 29.7 m for those in the low-risk group. The frequency of landing
positions by quadrat illustrate differences in the escape flight pattern between lowand
high-risk treatments (Fig. 1). In addition, the distance from the final landing
position (jump 15) to the original release point (quadrat G6) statistically differed
between treatment groups (df = 35, t = 4.85, P < 0.0001). High-risk grasshoppers
landed an average of 16.8 m away from the release point compared to 7.9 m for
low-risk prey. The DF across consecutive jumps also differed between low- and
high-risk treatments (df = 1, F = 4.87, P = 0.034). Post-hoc analysis revealed that
grasshoppers assigned to the high-risk treatment traveled a greater average distance
across consecutive encounters. These grasshoppers traveled an average of 2.5 m
(min–max = 2.1–4.4 m) per jump compared with 1.9 m (min–max = 1.6–2.3 m) for
those assigned to the low-risk treatment (Fig. 2).
PCA revealed differences in the flight path between grasshoppers assigned to
the 2 treatments. The flight path for the low-risk treatment (Fig. 3A) was more random
than for the high-risk treatment, as indicated by the reduction in the variance
described (69.1% to 80.9%). Conversely, the flight path for the high-risk treatment
was predominantly a semicircle in the clockwise orientation (Fig. 3B). The first 4
jumps were in a near-linear line away from the observer before developing a prevailing
arc over the subsequent 11 jumps.
Figure 2. Average distance fled (DF) across consecutive encounters for grasshoppers
assigned to low- and high-risk treatments.
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Figure 3. Flight paths extracted by PCA for grasshoppers assigned to (A) low-risk,
and (B) high-risk treatments. The numbers (1–15) indicate successive jumps.
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Discussion
Various studies have investigated prey response to repeated approach, with many
focusing on lizards (Cooper 1997, 1998, 2012; Cooper and Alvalos 2010; Cooper et
al. 2009; Martín and López 1999, 2003), frogs (Rodríquez-Prieto and Fernández-Juricic
2005), and some on grasshoppers (Bateman and Fleming 2014, Cooper, 2006a).
Our grasshopper study is novel because it exposed the animals to more repeated
approaches (15) than others (cf. Cooper 2006a, Bateman and Flemming 2014). Furthermore,
none of these studies had examined the potential relationship between the
morphology of individual prey and their particular escape strategy.
When randomly collecting grasshoppers for our study, we were interested in
assessing any potential differences in escape behaviors related to morphological
measurements and sex because females of the Southern Greenstriped Grasshopper
tend to be larger than adult males (Capinera et al. 1999) and may exhibit different
flight capabilities or escape strategies. However, because we found no significant
differences in individual morphology between low- and high-risk treatments (Hotelling’s
T 2 test) and our samples had a male bias (30 males: 7 females), we are
unable to determine any potential relationships. The remainder of our analyses
presented here focus solely on variations in escape behavior between treatments.
Future studies could include an intentional blocking design using males and females
of different sizes; potential intersexual differences in escape behavior among
grasshoppers and other prey remains largely unexplored.
Our predictions that the total escape flight distance and the average DF would
be greater for prey assigned to the high-risk treatment than the low-risk treatment
were supported by the data. These predictions were based in part on the findings
of Cooper (2006a), which investigated Carolina Grasshopper, another species of
bandwinged grasshopper in the Subfamily Oedipodinae, in response to human
observers. In that study, the observer flushed the prey for the first time by walking
through the study habitat. The prey were then visually tracked and approached
again across a series of encounters. It found that both the FID and DF for grasshoppers
approached repeatedly increased although prey were only approached a
maximum of 3 times. Cooper (2006a) reasoned that the increased FID reduced the
risk of prey being overtaken during each escape attempt while the greater DF made
it more difficult for the predator to track its escape flight and locate its landing
position. We also used an observer to simulate a persistent predator, but relied on a
different study design in which prey were initially collected and placed within the
release chamber positioned in the center (G6) quadrat of our marked field. We did
not measure FID but instead used DF as a metric to assess prey perception of risk.
Unlike Cooper (2006a), we did not observe that the DF increased or decreased in a
predictable fashion over all jumps. Instead, the average DF oscillated slowly in response
to repeated approach for both high- and low-risk treatment groups (Fig. 2).
For both treatments, the average DF was greatest following the first approach
(Fig. 2). This potential stress-response was not surprising because the grasshopper
had been transferred from a collection jar and positioned inside the clear chamber
just prior to its release and the first approach of the observer .
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Bateman and Fleming (2014) repeatedly approached another Oedipodine grasshopper,
Longhorn Band-wing Grasshopper, an average of 5.9 times and observed
a similar decline in DF. They speculated that this result might reflect a drop in the
prey’s energetic resources to power escape, which may not have been observed by
Cooper (2006a) because prey were typically approached only 2–3 times. Our data
suggest that, although prey may become metabolically taxed in response to repeated
approach, they still retain enough energetic reserves to power occasional bursts
of escape flight that carry them across longer distances. This possibility is best illustrated
by observing the spike in DF among high-risk grasshoppers during their
final few escape flights (Fig. 2). Prey approached immediately upon landing clearly
adjusted their strategy and responded by consistently traveling greater distances
compared to those approached after a 30-second delay.
Grasshoppers belonging to the Subfamily Oedipodinae, including Carolina
Grasshopper and Longhorn Band-wing Grasshopper, typically possess colorful
yellow to orange hind wings with a broad black band that crosses near the center
(Capinera et al. 1999). The Southern Greenstriped Grasshopper, used in this study,
belongs the same subfamily but its wing coloration is often less pronounced and
the transverse band is poorly defined (Capinera et al. 1999). Regardless of coloration,
the hind wings are only visible during flight. Otherwise, these grasshoppers
are cryptically colored and blend in seamlessly as the wings are withdrawn upon
landing in the sunny, open habitats they prefer (Capinera et al. 1999). The flash of
color during flight may disorient a potential predator especially if the grasshopper
flies perpendicular to the predator’s approach and lands to the side in its peripheral
field of vision (Bateman and Fleming 2014, Cooper 2006a). The prey’s escape angle
is typically measured on a 180 o scale in which the prey either flees directly toward
(0o), away from (180o), or laterally at right angles (90o) from the approach of the
observer (Bateman and Fleming 2014, Cooper 2006a). Lateral, or perpendicular,
escape flight appears to be an adaptive response used by bandwinged grasshoppers
to relocate outside of the direction of the predator’s approach. Upon landing
they immediately rely on crypsis through body coloration and general immobility
to further mask their location (Bateman and Fleming 2014, Cooper 2006a). In our
study, we did not measure the escape angle but instead mapped out the flight path
for each grasshopper using surveyor flags and recorded the landing position within
the grid of the subdivided field. Each landing position corresponded to a particular
quadrat and we analyzed these data for both low- and high-risk treatments using
PCA. PCA revealed that 20–30% of the variance observed for both treatments could
not be explained with the extraction of new variables. Carrete and Telle (2010) note
that such variance could provide diversity upon which natural selection may act.
Overall, the differences observed between the flight path of grasshoppers assigned
to low- and high-risk treatments appear to reflect a shift in escape strategy
(Fig. 3). The random flight path for low-risk grasshoppers as extracted by PCA reflects
numerous lateral escape flights mixed with those that carried the prey directly
away from the observer (Fig. 3A). This strategy has also been observed for both
Longhorn Band-wing Grasshopper and Carolina Grasshopper, which responded to
repeated approach by relying on a similar mix of escape-flight directions (Bateman
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and Fleming 2014, Cooper 2006a). Across encounters, this unpredictable or protean
pattern of escape behavior may further disorient a persistent predator (Bateman and
Fleming 2014, Humphries and Driver 1970). In contrast, the flight path for highrisk
individuals illustrates that most escape flights took the prey directly away or at
slight angles from the approach of the observer (Fig. 3B). As mentioned previously,
the average DF was also greater among the high-risk treatment. As a result, highrisk
grasshoppers landed with greater frequency across a larger number of quadrats
that subdivided the field (Fig. 1B). Bateman and Fleming (2014) observed a similar
shift in strategy following repeated approach in Leather-colored Bird Grasshopper,
a grasshopper with strong flight capabilities belonging to the Subfamily Cyrtacanthacridinae.
These grasshoppers shifted from perpendicular patterns of escape to
longer flights that carried them directly away from the observer’s approach (Bateman
and Fleming 2014). However, these long flights made them difficult to track
and they were, on average, approached only 2.9 times.
We tracked high-risk prey across 15 consecutive encounters; thus, we were
able to determine their overall flight path. After an initial series of relatively linear
escape flights, there was a characteristic clockwise rotation that began to emerge
over the course of 4–5 jumps (Fig. 3b). Had the grasshoppers not engaged in this
banking maneuver and continued on a linear trajectory, they would have drawn
closer to the dense stand of loblolly pines that surrounded the study field. High-risk
prey in this study appeared to adopt the same escape strategy as that of Leathercolored
Bird Grasshopper, with the exception that they made corrections in their
overall flight path in response to repeated pursuit. Overall, this curve in flight path
may have helped prevent these grasshoppers from leaving their preferred habitat.
Although this strategy may place more distance between the prey and a potential
predator, it is not without its own risk. Spending more time aloft in flight and traveling
greater distances may expose the prey to increased risk from opportunistic
visual predators like birds (Bateman and Fleming 2014). As predicted, high-risk
prey at the end of their pursuit landed a greater distance away from the site of their
original release (G6 quad).
The results of our study provide additional evidence that grasshopper prey
continually assess risk and shift their escape strategy in response to persistent
pursuit (Bateman and Fleming 2014, Cooper 2006a). Bateman and Fleming (2014)
described this as a behavioral switch from “Plan A” to “Plan B”. In this study, prey
assigned to the low-risk treatment responded with Plan A. They traveled shorter
distances with each escape flight and relied on crypsis through coloration and immobility
upon landing. Over consecutive encounters they exhibited an erratic, or
protean, flight path to evade detection. Prey assigned to the high-risk treatment
adopted Plan B, traveling longer distances during each escape flight typically in the
opposite direction from which they were approached.
Acknowledgments
This work was partially funded by the Department of Biology at Armstrong State University.
We thank Matthew Draud, Austin Francis, Michele Cutwa, and Michele Guidone
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for their assistance and support. We also appreciate the contribution of all involved in the
review process who helped clarify and improve this manuscript.
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