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Fluid dynamics, scaling laws and plesiosaur locomotion
To cite this article before publication: Ali Pourfarzan et al 2022 Bioinspir. Biomim. in press https://doi.org/10.1088/1748-3190/ac7fd2
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Fluid Dynamics, Scaling Laws and Plesiosaur Locomotion
Ali Pourfarzan1, Donald M. Henderson2, and Jaime G. Wong1
1Department of Mechanical Engineering, University of Alberta, Edmonton, Canada
2Rroyal Tyrrell Museum of Palaeontology, Drumheller, Canada
E-mail: jgwong@ualberta.ca
Abstract
The evolutionary success of plesiosaurs has led to much attention regarding the dynamics of
their locomotion. They exhibit identical tandem flippers, which is unique among all living and
extinct species. However, these tandem flippers have been a source of debate regarding
plesiosaurs’ locomotion and behavior. Here we propose a new approach to studying plesiosaur
locomotion based on universal scaling laws in fluid dynamics, which were used to estimate
reduced frequency to characterize unsteadiness of an airfoil. It was found that, while the reduced
frequency of plesiosaurs with high-aspect ratio flippers is similar to that of sea turtles, the most
commonly used living analog, lower aspect ratio plesiosaurs were more similar in reduced
frequency to penguins. This implies that plesiosaurs may have had large variations in agility among
themselves, depending in particular on the specimen’s flipper aspect ratio. While our results are
consistent with the previous literature indicating a relationship between plesiosaur neck length and
agility, our work supports broad and diverse analogies to living animals. Moreover, based on our
results, cruising reduced frequency has some predictive value into manoeuvring behavior, rather
than simply cruising behavior.
Keywords: Universal scaling, plesiosaur locomotion, flapping, swimming agility
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1. Introduction
The unique characteristic of plesiosaurs’ tandem flippers, which is often referred to as the four-
wing problem [1-3], has been a source of debate on their locomotion and, therefore, their behavior
[1,2,4]. Apart from the study of how each of the individual flippers had moved, where the general
consensus is on combination of antero-posterior and dorso-ventral motion [2], contradicting
hypotheses have been suggested to explain the biomechanics of why plesiosaurs had two sets of
wing-like flippers while all living marine tetrapods have only one [2,5]. Some silhouettes of
plesiosaurs with varied body planforms can be found in Figure 5, in later sections, as a reference
for readers unfamiliar with these animals. Due to the close resemblance of plesiosaur flippers to
other hydrodynamic planforms such as engineered hydrofoils, one approach to the four-wing
problem has come from engineering perspective [2], where the assumption that the animal sought
to maximize efficiency and thrust coefficients in cruising conditions was used to elucidate how the
flow from both sets of flippers interacted in propulsion.
Flapping wings and flippers produce a trailing vortex wake [6]. It has been shown that there is
an upper limit for the quantity of mass that can be fed into a vortex before secondary vortices form
[7,8], known as optimal vortex formation. Those vortices formed on a wing are no different, with
optimal vortex formation being described in this case with the Strouhal number [8]. The Strouhal
number of an oscillating wing is defined as:
(1)
where f is the frequency of oscillation, A is peak-to-peak amplitude of the oscillation of the wing
or flipper, and is the forward velocity. In cruising conditions, the Strouhal number of flapping
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propulsion - in both air and water, from length-scales ranging from insects to whales - is observed
in a limited range of 0.2 < St < 0.4 [9, 10]. It must be emphasized that this limited range occurs
over a wide range of length and velocity scales, occurring identically over a wide range of flow
regimes. The Strouhal number is typically described as measurement of flapping amplitude,
closely associated with force generation [11]. Reduced frequency, meanwhile, is a closely-related
dimensionless number describing the unsteadiness of a flapping motion [12]:
(2)
where f is the flapping frequency, and c is chord of the wing or flipper. Reduced frequency is a
ratio of time scales between the flow and the oscillatory wing motion. The reduced frequency can
also be used to describe the time-scale on which aerodynamic or hydrodynamic forces can change.
For instance, in a study of atmospheric gusts by Wong et al. [13], the characteristic time scale (T)
of a passing gust was defined based on the time between the maximum and minimum effective
angle of attack imposed on an aerodynamic surface, which was used to relate the flow velocity to
the gust wavelength,
. This can be expressed equivalently in terms of the reduced
frequency:
(3)
where the reduced frequency here takes the form of a ratio between the length-scales of the
aerodynamic surface, c, and of the gust wavelength, . A smaller gust wavelength () represents a
more rapid change of ambient conditions. This in turn means smaller time scale (T), and smaller
time scale represents how quickly force can change with respect to the flow velocity or forward
speed. When studying the flow field of simplified goose-like flight, Hubel and Tropea found that
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the effect of unsteady flow phenomena is considerable on vortex shedding and force coefficients
even at low reduced frequencies [14]. Generally, studies have shown that, while thrust increases
with reduced frequency, high efficiencies are achieved at relatively low reduced frequencies [15].
Analogous results have been found for Strouhal number in swimming animals. For example,
Borazjani and Daghooghi observing greater force amplitudes at higher Strouhal numbers, and
greater efficiency at lower values [16]. Likewise, Borazjani and Daghooghi noted that vortex
shedding was more likely at higher Strouhal numbers.
In this article, we propose an alternative approach to study the flippers of extinct animals such
as plesiosaurs, in the context of universal scaling rules in fluid dynamics, such as the convergence
of Strouhal number for all flapping animals on values in the range 0.2 < St < 0.4 for cruising
conditions [9, 10]. Using the established convergence in Strouhal number, we derive a geometric
relationship between it and the reduced frequency. This particular geometric scaling embeds
properties, such as the aspect ratio, known to relate to agility [17]. Reduced frequency does not
exhibit the universal convergence in the way Strouhal number does. However, due to this
embedding of properties, such as the aspect ratio, the cruising reduced frequency can correlate to
agility even in non-cruising conditions. For example, dragonflies, known for their high
maneuverability, have relatively high reduced frequencies, while sea turtles have lower reduced
frequencies associated with limited maneuverability, even though they both cruise at similar
Strouhal numbers. The quality of this correlation is low, and may lose its meaning altogether when
comparing across different propulsion modes, such as comparing the flapping of tail-fins to
flapping wing-like flippers. However, in the context of plesiosaur locomotion, where no direct
measurements of turn rates or accelerations are possible, this may provide an additional point of
reference in determining their relative manoeuvring performance, and therefore in reconstructing
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their ecological role and behavior. Moreover, it is common to use the behavior of living animals
to estimate the behavior of extinct ones. We believe that the ability to evaluate the reduced
frequency of extinct animals provides additional context in evaluating model organisms in this
way. Therefore, our study introduces a new perspective to study plesiosaur locomotion by
comparing its unsteadiness to that of existing animals. This proposed methodology of investigating
plesiosaur agility is consistent with prior findings in literature that plesiosaurs with low aspect ratio
flippers are more likely to have had relatively higher unsteadiness and agility levels, while high
aspect ratio plesiosaurs are likely to have exhibited lower agility [18]. However, rather than a
simple relative scale among plesiosaurs in isolation, as was already possible with aspect ratio
information alone [18], characterizing unsteadiness in terms of the reduced frequency permits us
to more readily compare plesiosaurs to living taxa. Our methodology is also consistent with
literature citing neck-length as a limiting factor in maneuverability [19,20], as neck length further
correlates with reduced frequency as presented here.
2. Materials and methods
In this study, to predict plesiosaur’s agility level, we follow a multistage approach. First, we
propose and validate a model to predict the reduced frequency of variety of flapping appendages
using only their physical layout, similar to the information that would be available from fossil data.
Following this validation, we predict a sea turtle’s reduced frequency only using the data obtained
from its skeleton and compare it to the actual reduced frequency calculated using the kinematics
of a living sea turtle as second validation. Finally, we apply this model to plesiosaur fossils with
different flipper sizes and body planforms to predict their agility level.
2.1. A mathematical model to predict behavior
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As mentioned in the previous sections, reduced frequency will be used as a metric for agility in
this study, with the caveats mentioned above. Although reduced frequency does not converge to
a specific range of values as Strouhal number does, some aspects of the animal behaviour can be
inferred from its value. For example, insects typically have higher reduced frequencies than
seabirds, and in turn, are also associated with greater agility. However, reduced frequency is
usually observed directly. Therefore, to predict the reduced frequency of an extinct species where
swimming speed and flapping frequency are unknown, we must eliminate the ratio f/U from the
expression in equation (2). As this ratio also appears in Strouhal number, we can replace the ratio
with a function of Strouhal number:
(4)
where (rad) is stroke angle (dorso-ventral), and b is span of the wing. The product of stroke
angle and span is used as an estimate of flapping amplitude as the stroke angle, span and chord of
plesiosaurs can be estimated from fossil remains. Together with the observation that the Strouhal
number is approximately a constant for flapping locomotion, this reduces the cruising reduced
frequency to a geometric property of the flipper and its joints. The specific value St = 0.35 is used
in this study as a characteristic value, coinciding with maximum thrust coefficient and within the
range of observed values in nature [9]. It is worth noting, however, that small variations from this
value do not appreciably alter the conclusions in later sections.
2.2. Kinematic Data
Kinematic data of 47 existing flying and swimming animals including 8 birds [21-26], 12 bats
[27], 10 insects [28-31], 3 reptiles [32,33], 4 aquatic birds [34,35], 9 marine mammals [36-38] and
one fish [39] (n=62 cases) have been collected from the open literature to calculate the Strouhal
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number and actual reduced frequency of each animal, as well as the predicted reduced frequency
using equations (1), (2) and (4), respectively (see supplementary material data S1). The kinematic
data used to calculate the actual and predicted reduced frequencies have been acquired from the
same source for each specimen. If a range of values rather than an exact value was given for a
specific parameter such as cruising speed, the average value of the provided range is used for the
calculations. Where flipper chord was not measured, we calculated the chord as
, where
c is the chord, S is the flipper area, b is the flipper span (measured from the flipper root to the
flipper tip), and AR is the aspect ratio of the flipper. If flapping amplitude was provided instead of
flapping angle, we approximated the angle as
, where is flapping angle, A is
peak-to-peak flapping amplitude and b is flipper span. If data for a parameter in equations (1), (2)
and (4) was not reported for a specific animal in the reference literature, an additional source such
as a different literature or online videos have been used to estimate an approximate value for the
missing measurement, which is provided in the supplementary material data S1 as additional
source. For living sea turtles, an average value for the flapping frequency and the flapping angle
is used to estimate reduced frequencies. As data for these parameters were missing in the reported
literature, we measured them from online videos, which the source link and measuring time is
provided in the supplementary material data S2 as reference.
2.3. Sea turtle skeletal measurements
To measure the flapping angle from sea turtle skeletons, Computed Tomography (CT) scans of
the humerus of a Caretta caretta, a Chelonia mydas and an Eretmochelys imbricata were gathered
from an online resource. The CT scans are provided via Harvard Museum of Comparative Zoology
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(see supplementary material data S3 for citation and specimen numbers). A complete flipper CT
scan of an adult Caretta caretta was gathered from Royal Veterinary College to measure both
flapping angle and flipper aspect ratio (see supplementary material data S3 for the reference). A
three-Dimensional (3D) skeletal model is reconstructed via Object Research Systems (ORS)
Dragonfly software. Skeletal measurements have been done via ImageJ software. To estimate the
flipper aspect ratio as
, the flipper area was outlined and measured as seen in figure 1a.
The flipper span was measured from the joint between humerus and ulna and radius to the tip of
the phalanges. The head of the humerus is analogous to a three-dimensional, tri-axial ellipsoid,
where the flapping angle takes place about the longest axis of this ellipsoid. Flapping angles were
measured from the angular extent of proximal end of humerus from scapulohumeral joint and
about the longest axis (figure 1b,c). The plane on which flapping angle was measured is the
bisector of the humerus head and the center of the rotation is the center of the angular extent of the
proximal end of humerus. The measurements are presented in the supplementary material data S3.
To provide an estimate of the limit that articular cartilage in the scapulohumeral joint, along
with the muscle traction, can exert on the limb movement in the dorso-ventral direction, we can
subtract the average flapping angles of swimming sea turtles measured from online videos (122.13
degrees) from the average flapping angle measured directly from skeletons (136.37 degrees). This
provides cartilage limits of approximately 14.56 degrees in the dorso-ventral direction. Based on
our measurement process, further discussion will only take the first two significant digits (15
degrees) when accounting for cartilage limits.
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Figure 1. Skeletal reconstruction and measurements of Caretta caretta, the model organism in this
study. (a) Outlining and measuring flipper area and span (orange dashed-line). (b) demonstrating
the bisector plane of the humerus head (red dashed curve) on which the flapping angle is measured.
(c) Measuring the flapping angle from the angular extent of proximal end of humerus from
scapulohumeral joint.
2.4. Plesiosaur skeletal measurements
To predict the reduced frequency of plesiosaurs using Equation (4) using kinematic data, we
performed complete measurements of the aspect ratio and flapping angle of three individual
plesiosaurs: Trinacomerum osbornii, Albertonectes vanderveldei, and ‘Parson’s Creek’. For the
specimens such as Thalassomedon hanningtoni, Cryptoclidus oxoniensis, ‘Sage Creek’,
Liopleurodon ferox, Nichollssaura borealis, Rhomaleosaurus thorntoni, Tatenectes laramiensis,
Brancasaurus and Meyerosaurus that we were unable to measure the flapping angle due to the
fossil conditions, we only measured their aspect ratio. For the flapping angle of these specimens,
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we used an average value and a range of measured flapping angles of other specimens in the Royal
Tyrell Museum to address the uncertainty range of their reduced frequency. The effect and
limitations of applying this approximation is discussed in the next section. To estimate the flipper
aspect ratio as
, the flipper area has been measured in the same way as sea turtles using an
internally developed script which is explained in details in ref. [40]. Figure 2 demonstrates the fore
flipper and humerus of Trinacomerum osbornii. The span is determined by finding the maximum
perimeter distance from the midpoint of base of the flipper (figure 2 (a)). Flapping angles were
measured from the proximal end of humerus and femur (figure 2 (a)). Figure S1 and figure S2 in
the supplementary material demonstrate the annotated flipper images of Albertonectes
vanderveldei and ‘Parson’s Creek’, respectively.
Figure 2. Fore flipper of Trinacomerum osbornii. (a) Outlining and measuring flipper area and
span (orange dashed-line) and measuring the flapping angle from the angular extent of proximal
end of humerus from scapulohumeral joint. (b) Demonstrating the cartilage marks on the tip of the
humerus which is assumed to limit the range of the motion of the flipper. Red arrows denote the
cartilage rim, which defines the perimeter of the head of the humerus.
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From plesiosaur remains, like most flapping-like motion, both antero-posterior and dorso-
ventral motions are possible for plesiosaur flippers. However, for most flapping wings and flippers
observed in nature, dorso-ventral motion is the dominant motion responsible for propulsion.
Therefore, we predicted reduced frequency of plesiosaur considering the dorso-ventral angle. In
well preserved specimens of plesiosaurs the humeral head can be seen to be almost hemispherical.
There is a distinct difference in bone texture between the surface of the head of the humerus and
the lateral surface of the remainder of the bone. The head is either smooth, or distinctly pitted with
a texture unlike that of lateral surface. The junction of these two surfaces was taken as defining
the perimeter of the head. In many cases there is also a raised rim at the junction of the two surfaces
(figure 2(b)). To estimate the angular extent of the humeral head two co-terminal radii were
positioned so that they tangentially contacted opposite sides of the head, and had their common
origin located within the bone, but at an arbitrary distance from the head. This distance was set by
the configuration of the radii and their points of tangency to the head. This measuring was either
done graphically with a digital photograph in the drawing program CorelDRAW or done with a
large protractor and two rulers on physical specimens. The true size and extent of the original soft
tissue comprising the cartilage covering of the head of the humeri of the extinct plesiosaurs is
unknowable. It was decided to infer conservative estimates of the flapping angles such that they
would stay within the observed angular extent of head of the humerus and the selected values are
compatible with the observed angular extents of the smooth-headed portions of the humeri (figure
2 (b)). The measurements, specimen numbers and related references are presented in the
supplementary material data S3 for each specimen.
3. Results and discussion
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To validate the model for reduced frequency presented in equation (4), we calculated the actual
reduced frequency of a wide range of 47 existing flying and swimming animals [21-39] (n=62
cases) from data available in open literature, and compared these values to those predicted by
equation (4). The comparison between actual reduced frequency and predicted reduced frequency
has been made only for animals whose Strouhal number corresponded to cruising conditions [9,
10] (0.2 < St < 0.4). This comparison is presented in figure 3, and shows a good agreement between
our model and observed values, within the 95% prediction interval. We followed the standard
procedure for all statistical analysis including regression, two-sided prediction intervals and mean
squared error [41] for our data collected from open literature in figure 3.
Figure 3. A comparison of predicted reduced frequency with and actual reduced frequency. The
comparison has been made for 47 flapping species (n=62) in cruising condition within the range
of 0.2 < St < 0.4. The regression coefficient of our model is 0.92, the determination coefficient is
0.96 and the mean squared error is estimated as 0.004. The ideal model is illustrated as a continuous
black line with slope of 1. It can be seen that the proposed model can predict reduced frequency
accurately, as data are clustered around the ideal model.
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Flapping angles in figure 3 were determined from the behavior of living animals. In order to
validate our model when data is limited to that obtained from fossil remains, a second validation
was performed by applying the model to a living species, a sea turtle, using both skeletal data, and
observed behavior. Sea turtles are chosen for this validation due to their common use as a model
for plesiosaurs [4,5]. Data such as flipper area, span and flapping angle are obtained from
computed tomography (CT) scans of an adult sea turtle, Caretta carretta, simulating skeletal
remains (figure 1). Flapping angles were measured from the angular extent of proximal end of
humerus from scapulohumeral joint. To account for the reduction of mobility caused by cartilage
or muscle traction on the dorso-ventral flapping angle, an average of observed flapping angles
from living sea turtles was deducted from the average of the flapping angles measured from
skeletons. The predicted reduced frequency from a sea turtle skeleton was found to be k = 0.13,
which was slightly lower than the average value of reduced frequency observed in nature, k = 0.14,
where the difference is approximately 7%. This comparison shows that our proposed model is able
to predict an animal’s reduced frequency, and thus estimate its relative agility, using only the data
obtained from skeletal remains.
Following the aforementioned validation, we applied our model to plesiosaur fossils to predict
each specimen’s reduced frequency. The results are shown in figure 4. For the plesiosaurs from
which we were unable to measure the flapping angle, we introduced an uncertainty range of
reduced frequency as function of flapping angle, since flapping angle has a linear effect on reduced
frequency as modelled here in Equation (4). The results of this analysis are included in figure 4,
where the squares denote the average value of the flapping angles measured from fossil remains
of well-preserved specimens, i.e. Trinacomerum osbornii, Albertonectes vanderveldei, and
‘Parson’s Creek’ plesiosaurs. Calculated values of reduced frequency for each of the specimens is
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presented in the supplementary material table S1. The uncertainty range of reduced frequency for
the measured range of flapping angles was found to be sufficiently small to have no effect on our
conclusions. Rather, we observe here greater variations among plesiosaurs with respect to aspect
ratio than from uncertainty or variation in flapping angle. This observation was limited by the
number of independent flapping angle estimations that could be obtained, and so should not be
considered an independent conclusion. However, this observation was used to conceptually group
different plesiosaur specimens.
The role of aspect ratio is demonstrated when we compare the span length of Cryptoclidus
oxoniensis, with lowest aspect ratio (AR = 3.45) among all plesiosaurs, and Tatenectes laramiensis
which has moderate aspect ratio flippers (AR = 4.90). Although they have similar span lengths,
their predicted reduced frequency in figure 4 reveals that Cryptolidus oxoniensis likely had greater
agility. Therefore, we grouped plesiosaurs into three groups based on high (AR > 6), moderate (4
< AR < 6), and low (AR < 4) flipper aspect ratios, which correspond to low, moderate, and high
reduced frequencies. Living species with similar reduced frequencies to that predicted for
plesiosaurs are presented in figure 4. This figure also shows that the reduced frequency in cruising
conditions gives approximation of agility among living species, based on what we can observe
from the behavior of animals in nature. This provides evidence that the reduced frequency in
cruising conditions offers some predictive power regarding the agility of the animal. As seen in
figure 4, the Albertonectes vanderveldei, ‘Sage Creek’ and Thalassomedon specimens have
relatively low reduced frequencies, similar to sea turtles and albatrosses. Meanwhile, Cryptoclidus
oxoniensis with the lowest aspect ratio has the highest reduced frequency, similar to that of
penguins and hummingbirds, each known for their ability to rapidly change direction. Therefore,
we conclude that plesiosaurs likely had significant variation among themselves in terms of agility
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and acceleration. Morphometric phylogenetic analysis conducted in previous studies also reported
the possible variation in swimming techniques between different clades based on differences in
girdle and limb morphology among plesiosaurs [4,42]. Furthermore, this finding suggests that sea
turtles are unlikely to be an appropriate model organism for all plesiosaurs, and rather they are a
good analog for the subset of these prehistoric marine reptiles with larger aspect ratios. Figure S3
in the supplementary material shows direct comparisons between aspect ratio, flapping angle, and
reduced frequency for the specimens in figure 4 for additional clarity of the above observations.
Finally, we have observed that long-necked plesiosaurs consistently have high-aspect ratio
flippers. In the literature, the length of the neck is understood to have an influence on
maneuverability [19,20]. Plesiosaurs with longer necks are assumed to be ambush predators due
to the limitations that such long necks would likely have on their ability to turn, whereas species
with short or moderate necks are more likely active predators [1,19,20,43,44]. Our findings are
consistent with this hypothesis. Silhouettes of some of the specimens in figure 4 are presented in
figure 5 to illustrate this observation. The phylogenetic tree for the plesiosaur specimens
considered in this study [45], as shown in figure 5, shows that the correspondence between
swimming behavior and lineage is most pronounced for the long-necked specimens. Although high
aspect ratio plesiosaurs with low reduced frequencies are clustered around each other, low and
moderate aspect ratio specimens are spread out in the cladogram, suggesting that, whereas the long
neck is a significant constraint on effective propulsive behavior, a broader set of strategies are
possible for the plesiosaur’s four flipper layout generally.
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Figure 4. Reduced frequency of existing swimming and flying animals matching the reduced
frequency of plesiosaurs. The square markers on each of the uncertainty bars, seen for the
plesiosaur data, represent the reduced frequency estimate derived from the average flapping angle
of well-preserved specimens. This process was repeated for each group of low, moderate and high
aspect ratio flippers. Plesiosaur specimens might have had different level of agility among
themselves depending on the flipper aspect ratio. Sea turtles are appropriate model organism only
for specific subset of plesiosaurs.
Figure 5. Correlation between plesiosaurs’ neck length and agility level. (a) Phylogenetic
relationships between all groups of plesiosaurs presented in figure 4. It can be seen that plesiosaurs
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with high aspect ratios are clustered around each other. The legends for the aspect ratios are the
same as figure 4. The relation between neck length and flipper aspect ratio is evident from
silhouettes presented in front of each specimen with different aspect ratios. (b) The effect of neck
length on the reduced frequency. Plesiosaurs with shorter necks likely had higher agility.
Silhouettes in these figures are not scaled.
4. Conclusion
A new method was introduced to study the locomotion of extinct animals such as plesiosaurs using
a universal scaling rule found in animal locomotion. In this study, reduced frequency, which
determines the unsteadiness of a flapping motion, was considered as the similarity parameter to
compare the swimming behavior of plesiosaurs to living taxa. A geometric relationship was
derived between the Strouhal number and the reduced frequency, based on the established
convergence on a small range of Strouhal numbers for cruising conditions in nature, which
correspond to maximum efficiency. Following this derivation, the geometric relationship derived
for cruising conditions, embedded flipper aspect ratio, a parameter which correlates to agility and
is used previously to rank plesiosaurs based on maneuverability in non-cruising conditions [18].
Direct observations of manoeuvrability, such as observing velocity and acceleration in swimming
and flight, is obviously impossible for extinct species. Therefore, given the limited tools available
for paleontologists and other researchers, we hope the methodology proposed here will be a useful
supplement to existing techniques for estimating swimming or flying behavior.
The proposed model for reduced frequency allowed us to accurately predict the reduced
frequencies of living animals using geometric data such as flipper aspect ratio and the flapping
angle, with the Strouhal number as the only kinematic parameter, which was chosen based on the
universal convergence, i.e., St = 0.35. Applying the model to sea turtles using data obtained from
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structural, skeletal information, the predicted reduced frequency compared favorably to the
reduced frequency observed in nature with approximately 7% difference, which validated the
extension of our method to the cases in which data is limited to structural information, such as that
obtained from fossils.
Following a comparison between the reduced frequency of plesiosaurs and living animals, we
concluded that plesiosaurs likely had a wide range of agility levels among themselves. For
example, while the reduced frequency of high aspect ratio plesiosaurs matched closely to sea
turtles, the reduced frequency of low aspect ratio plesiosaurs was likely closer to that of penguins,
well known for their underwater agility and speed. This is consistent with the findings of previous
studies that have considered the constraint of neck length on plesiosaur agility [19,20], as these
animals all exhibit high aspect ratios, and therefore low reduced frequencies.
Acknolwedgements
This work was supported by the Natural Sciences and Engineering Research Council of Canada
under grant No. RGPIN-2018-05168.
Data availability
The authors declare that all data supporting the findings of this study are available in the paper and
in the supplementary material.
Supplementary material is available online.
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