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Ontogenetic vertebral growth patterns in the basking shark Cetorhinus maximus

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Age and growth of the basking shark Cetorhinus maximus (Gunnerus) was examined using vertebral samples from 13 females (261 to 856 cm total length [TL]), 16 males (311 to 840 cm TL) and 11 specimens of unknown sex (376 to 853 cm TL). Vertebral samples were obtained worldwide from museums and institutional and private collections. Examination of multiple vertebrae from along the vertebral column of 10 specimens indicated that vertebral morphology and band pair (alternating opaque and translucent bands) counts changed dramatically along an individual column. Smaller sharks had similar band pair counts along the length of the vertebral column while large sharks had a difference of up to 24 band pairs between the highest and lowest count along the column. Our evidence indicates that band pair deposition may be related to growth and not time in this species and thus the basking shark cannot be directly aged using vertebral band pair counts.
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MARINE ECOLOGY PROGRESS SERIES
Mar Ecol Prog Ser
Vol. 361: 267278, 2008
doi: 10.3354/meps07399
Published June 9
© Inter-Research 2008 · www.int-res.com*Email: lisa.natanson@noaa.gov
Ontogenetic vertebral growth patterns in the
basking shark Cetorhinus maximus
Lisa J. Natanson
1,
*
, Sabine P. Wintner
2
, Friederike Johansson
3
, Andrew Piercy
4
,
Patrick Campbell
5
, Alessandro De Maddalena
6
, Simon J. B. Gulak
7
, Brett Human
8
,
Franco Cigala Fulgosi
9
, David A. Ebert
10
, Farid Hemida
11
, Frederik H. Mollen
12
,
Stefano Vanni
13
, George H. Burgess
4
, Leonard J. V. Compagno
14
,
Andrew Wedderburn-Maxwell
15
1
National Marine Fisheries Service (NMFS), Northeast Fisheries Science Center, NOAA, 28 Tarzwell Drive, Narragansett,
Rhode Island 02882-1199, USA
2
Natal Sharks Board, Private Bag 2, 4320 Umhlanga Rocks, and Biomedical Resource Unit, University of KwaZulu-Natal,
PO Box X54001, Durban 4000, South Africa
3
Vertebrate Section, Göteborg Natural History Museum, Box 7283, 402 35 Göteborg, Sweden
4
Florida Program for Shark Research, Florida Museum of Natural History, University of Florida, PO Box 117800, Gainesville,
Florida 32611, USA
5
Department of Zoology, Natural History Museum, Cromwell Road, London SW7 5BD, UK
6
Banca Dati Italiana Squalo Bianco, Via L. Ariosto 4, 20145 Milan, Italy
7
Pelagic Observer Program, South East Fisheries Science Centre, National Marine Fisheries Service, NOAA,
75 Virginia Beach Drive, Miami 33149, Florida, USA
8
Marine Science and Fisheries Centre (Biodiversity Project), PO Box 467, PC 100 Muscat, Sultanate of Oman
9
Dipartimento Scienze della Terra, Università di Parma, Parco Area delle Scienze 152/A, 43100 Parma, Italy
10
Pacific Shark Research Center, Moss Landing Marine Laboratories, 8272 Moss Landing Road, Moss Landing,
California 95039, USA
11
Laboratoire Ecologie et Environnement (Projet Halieutique), Faculté des Sciences Biologiques (FSB),
Université des Sciences et Techniques Houari Boumedienne (USTHB), BP 32, El Alia, 16111 Bab Ezzouar, Alger, Algeria
12
Elasmobranch Research, Meistraat 16, 2590 Berlaar, Belgium
13
Sezione di Zoologia ‘La Specola’, Museo di Storia Naturale dell’Università, Via Romana 17, 50125 Florence, Italy
14
Shark Research Center, South African Museum, PO Box 61, 8000 Cape Town, South Africa
15
Umhlanga Radiology, Radiology Department, Umhlanga Hospital, Private Bag X09, 4320 Umhlanga Rocks, South Africa
ABSTRACT: Age and growth of the basking shark Cetorhinus maximus (Gunnerus) was examined
using vertebral samples from 13 females (261 to 856 cm total length [TL]), 16 males (311 to 840 cm TL)
and 11 specimens of unknown sex (376 to 853 cm TL). Vertebral samples were obtained worldwide
from museums and institutional and private collections. Examination of multiple vertebrae from
along the vertebral column of 10 specimens indicated that vertebral morphology and band pair (alter-
nating opaque and translucent bands) counts changed dramatically along an individual column.
Smaller sharks had similar band pair counts along the length of the vertebral column while large
sharks had a difference of up to 24 band pairs between the highest and lowest count along the col-
umn. Our evidence indicates that band pair deposition may be related to growth and not time in this
species and thus the basking shark cannot be directly aged using vertebral band pair counts.
KEY WORDS: Basking shark · Cetorhinus maximus · Age · Growth · Vertebrae
Resale or republication not permitted without written consent of the publisher
Mar Ecol Prog Ser 361: 267278, 2008
INTRODUCTION
The basking shark Cetorhinus maximus (Gunnerus)
has been the target of various fisheries worldwide as far
back as the 18th century (Castro et al. 1999). Perfor-
mance of historical basking shark fisheries suggests that
the species is particularly susceptible to overfishing
(Castro et al. 1999). The basking shark is assessed as
‘Vulnerable’ on the International Union for the Conser-
vation of Nature and Natural Resources (IUCN) Red List
of Threatened Species and is listed in Appendix II of the
Convention on International Trade in Endangered
Species of Wild Fauna and Flora (CITES) (http://sea.
unep-wcmc.org. Little is known about the biology of this
species, including age and growth (Castro et al. 1999).
The age of a shark is commonly determined by coun-
ting alternating opaque and translucent band pairs
deposited in vertebrae. Access to basking shark verte-
brae, however, is very limited, especially those for
which accurate morphological information is available.
This has hampered attempts to elucidate age and
growth in this species and previous results have been
questioned (Parker & Stott 1965, Pauly 2002).
Previous studies of basking shark age have relied
on small sample sizes and suspect methodology. Mat-
thews (1950) presented a growth curve based on length
frequency information from 13 individuals, but stressed
that it was a tentative growth curve. Parker & Boeseman
(1954) reanalyzed Matthews’ (1950) data with an addi-
tional 41 data points obtained from the literature and
museums. Parker & Stott (1965) re-examined the Parker
& Boeseman (1954) data using a graphical approach and
an empirical growth formula, added data, and attempted
verification with vertebral counts from 5 specimens. Us-
ing all the graphical analyses and vertebral band pair
counts, Parker & Stott (1965) concluded that there were
7 pre-birth band pairs and that subsequent band pairs
were deposited biannually. These 3 papers contained
data adjustments (adding lengths to the original data
points), questionable assumptions (arbitrary monthly
grouping of animals), or plotting and/or calculation er-
rors. Pauly (1978) questioned the biannual deposition
theory, reanalyzed all the previous data using several
growth models and concluded that the previous analyses
were erroneous and the 7 pre-birth bands ‘bizarre’.
While these studies used the best data available at the
time, the sample sizes were quite limiting. We attempted
to determine age for Cetorhinus maximus based on
vertebral band pair counts from sources worldwide.
MATERIALS AND METHODS
Sampling. Vertebral samples from 40 basking sharks
were obtained from museums and institutional and pri-
vate collections. Samples came from several oceans
and seas, including the North Atlantic, South Atlantic,
Mediterranean, Adriatic, Southwest Indian, North Sea
and Northeast Pacific. Vertebrae were preserved using
methods of the collectors or institutions, and included:
ethanol and/or formaldehyde fixation, drying, and
freezing. Samples ranged from 1 vertebra to the entire
vertebral columns from each specimen. Maturity con-
dition of individual samples was based on the data pro-
vided by the collector (see Table 1).
Morphological measurements were inconsistent. In
many cases it is unknown if the measurement was
taken over the body or was a straight line (caliper)
measurement; additionally, length type was not always
specified. Often the location of the vertebrae along the
column was not specified.
Total length (TL, cm) with the tail in natural position
was used throughout this study. In specimens where
the type of length was not given, the measurement or
estimate was assumed to be TL. A variety of morpho-
logical measurements was available for these speci-
mens, including fork and pre-caudal lengths (FL and
PCL, respectively) and girth from behind the pectoral,
dorsal and pelvic fins. These data and data from the
literature (Bigelow & Schroeder 1948, Matthews 1950,
Wood 1957, Siccardi 1961, Chen 1963, Springer &
Gilbert 1976, Cadenat & Blache 1981, Izawa & Shibata
1993, Soldo 1999) were used to calculate the following
conversions:
TL = 1.09 × FL + 12.01
(r
2
= 0.996, n = 16; 261 to 846 cm TL)
TL = 1.20 × PCL + 15.53
(r
2
= 0.995, n = 17; 261 to 855 cm TL)
FL = 1.14 × PCL – 8.32
(r
2
= 0.999, n = 20; 261 to 846 cm TL)
Calculated TL values are indicated throughout with
a
.
The TL–weight (WT, kg) relationship was generated
using data from the collected specimens and published
data (Bigelow & Schroeder 1948, Wood 1957, Siccardi
1961, Springer & Gilbert 1976, Cadenat & Blache 1981,
Howes 1998, Soldo 1999, Serena et al. 2000, Zuffa et
al. 2001, Schwartz 2002) and references contained
therein;
WT = 9.0073 × 10
–6
× TL
2.94
(n = 59, range 249 to 1000 cm, 95% CI on exponent =
2.74 to 3.12, r
2
= 0.944)
Vertebral measurements were made by the collec-
tion institutions using guidelines for whale sharks
following Wintner (2000). Measurements included
length, dorsal and lateral diameter of each centrum, as
well as diameter at the angle change (Wintner 2000).
The angle change on the centrum face was regarded
as the birthmark (Wintner 2000). Analyses were per-
268
Natanson et al.: Vertebral growth in the basking shark
formed separately on vertebrae obtained from 3 differ-
ent regions: trunk, abdomen and tail. All vertebral
dimensions (VD, cm) were related to TL to determine
the proportional relationship between somatic and
vertebral growth so that the correct back-calculation
method could be chosen (Goldman 2004).
The relationship between lateral diameter (LD, cm)
and TL was calculated to determine the best method
for back-calculation of length-at-age data and to con-
firm the interpretation of the birth band. Regressions
were fitted to the data by sex and an analysis of covari-
ance (ANCOVA) was used to test for difference be-
tween the sexes. Based on recommendations in Cailliet
& Goldman (2004), multiple back-calculation methods
were examined to find the most appropriate biological
and statistical fit.
The analyses included the quadratic-modified Dahl-
Lea back-calculation method:
TL
i
= TL
c
× [(a + bLD
i
+ cLD
i
2
)/(a + bLD
c
+ cLD
c
2
)]
where a, b and c are the quadratic fit parameter esti-
mates, LD
i
are the lateral diameters at band i and LD
c
is the lateral diameter at capture; as well as the linear-
modified Dahl-Lea method:
TL
i
= TL
c
× [(a + bLD
i
)/(a + bLD
c
)]
where a and b are the linear fit parameter estimates.
A minimum of 1 vertebra and, if available, multiple
vertebrae, from different parts of the vertebral column
was removed for processing. Every fifth vertebra from
whole columns of 3 specimens was analyzed for
changes in morphology, size and band pair count.
X-radiography and sectioning were used to enhance
the visibility of band pairs.
X-radiography. X-radiographic settings varied be-
tween the laboratories due to different machines, film
and vertebral sizes. The diameter at the angle change
was marked on each image. Band pairs were counted
and measured twice by 1 reader (results hereinafter
referred to as X-radiography). Images were scanned
into the computer using a CreoScitex EverSmart Jazz
1
scanner with EverSmart Jazz Scanning Software ver-
sion 3. Band pairs (consisting of 1 opaque and 1 trans-
lucent band) were then counted and measured by
1 reader using digital image analysis software Image
Pro
®
Discovery (hereinafter referred to as digital
image analysis). X-radiographs were produced for
each vertebra along the column of Specimen 36.
Sectioning. Sectioning was only performed on verte-
brae from the western North Atlantic (Specimens 7 to
17, 37 to 40). One vertebra from each animal and every
fifth vertebra from 2 whole columns were processed.
The vertebrae were sectioned using either a Diamond
Pacific Model TC-6 trim saw with a diamond blade or a
standard hacksaw. Each centrum was sectioned
through the center at the point where the lateral diam-
eter measurement was taken. The resulting bow-tie
sections were directly photographed with a millimeter
scale using a Nikon Coolpix 5700 camera system or
with an MTI CCD 72 video camera attached to an
SZX9 Olympus stereomicroscope using reflected light.
Sections were preserved in 70% ethanol. Band pairs
were counted and measured on the images using
Image Pro 4 software. Measurements on the sections
were made along the same plane as would have been
measured on the vertebral face so that comparisons
could be made for both the angle change (birth band)
and lateral diameter.
Bias. Aging bias and precision were analyzed by
looking at percent agreement (± 1 band pair) and
contingency tables. Chi-squared tests of symmetry
(McNemar 1947, Bowker 1948, Hoenig et al. 1995,
Evans & Hoenig 1998) were performed to determine
whether differences between readers were biased or
due to random error (Cailliet & Goldman 2004). Addi-
tionally, bias graphs and coefficient of variation (CV)
were examined (Chang 1982, Campana et al. 1995).
RESULTS
Vertebrae were obtained from 40 specimens: 13 fe-
males (261 to 856
a
cm), 16 males (311 to 840 cm) and
11 specimens of unknown sex (376 to 853 cm)
(Table 1). Vertebrae from 37 basking sharks (261 to
856
a
cm) were X-rayed, and X-radiographs were
scanned for digital image analysis. Vertebrae from
12 of the 37 were also sectioned. Vertebrae from
3 other sharks were processed exclusively with sec-
tioning. Nineteen specimens either lacked morpholog-
ical measurements or were from either the extreme
cranial or the tail area, and so could not be used for
age-related analyses. The 21 samples used for age-
related analyses consisted of 9 females (261 to 716 cm),
11 males (311 to 840 cm) and 1 specimen of unknown
sex (480 cm; Table 1). Band counts from all specimens
were examined for comparison between processing
techniques and the differences in band counts along
the vertebral column.
Morphology of the vertebrae
Basking shark vertebrae are generally round but
vary slightly in shape and morphology depending on
their location along the vertebral column. The position
269
1
Reference to trade names does not imply endorsement by the
National Marine Fisheries Service
Mar Ecol Prog Ser 361: 267278, 2008270
Table 1. Cetorhinus maximus. Data from samples used in this study including processing methods, number of vertebrae per sample, morphometrics and band pair counts.
Specimens 9 and 36 had weights of 262 and 48 kg, respectively. M: male, F: female, U: unknown; TL: total, FL: fork, PCL: pre-caudal lengths; nm: no measurement;
I: immature, Ma: mature; Med: Mediterranean Sea, North: North Sea
Speci- Sex Length Matu- No. Vertebra(e) Capture Storage Vertebral prepa- Band pair count
men (cm) rity of taken from location ration method of largest vertebra
TL FL PCL vertebrae X-radio- Section X-radio- Section
obtained graph graph
Used in final analysis
1 M 665 1 Before first Adriatic/Med Formol X 31
dorsal
2 M 840 1 Adriatic/Med Dried X 31
d
7 F 458 420 I 1 Above the gills NW Atlantic 70% ethanol, X X 14 13
then frozen
8 F 350
a
310 1 Above the gills NW Atlantic 70% ethanol, X X 9 9
then frozen
9 M 362 320 I 1 Above the gills NW Atlantic 70% ethanol, X X 10 10
then frozen
10 M 392 356 I 1 Above the gills NW Atlantic 70% ethanol, X X 12 12
then frozen
12 M 452
a
411.5 I 1 Above the gills NW Atlantic Frozen X X 14 14
13 M 770
a
695.5 Ma 1 Above the gills NW Atlantic Frozen X X 33 30
14 F 575 533.4 I 1 Above the gills NW Atlantic Frozen X X 19 15
15 F 686 615 I 2 Between gills NW Atlantic Frozen X X 30 24
and dorsal
16 M 522 444.5 I 2 Above the gills NW Atlantic Frozen X 14 13
19 M 685 601 540 I
a
1 No. 20 SE Atlantic Formalin fixed, X 21
monospondylous
50% isopropyl alcohol (?)
20 F 319 273 250 I 1 No. 17 SE Atlantic Formalin fixed, X 9
monospondylous
50% isopropyl alcohol (?)
26 M 311 I 1 From caudal Skagerrak/North 80% ethanol X 8
part of trunk
27 U 480 1 From trunk? Kattegatt/North 80% ethanol X 12
28 M 345 1 Transverse cross Skagerrak/North Formalin fixed, X 11
section of trunk vert. 80% ethanol
31 M 550 3 Big vert. Kattegatt/North Dried X 18
36 F 261 228.8 205 I Column (56) Behind the head SW Indian Frozen X 6
37 F 706 595 2 Abdomen NW Atlantic Frozen X X 25 24
38 F 714
a
644 Ma Column (85) Abdomen NW Atlantic Frozen X 27
40 F 457 403 I Column (50) Abdomen NW Atlantic Frozen X 13
Not used in final analysis
3 U 376 302.3 2 Cervical (head NW Atlantic Dried X 11
region)
4 U nm 2 Too high NE Atlantic 75% methy- X Unreadable
lated spirit
5 U 853 2 Tail North 75% methy- X 23
lated spirit
6 U nm 2 NE Atlantic Dried X 26
11 F 856
a
700 1 Tail NW Atlantic 70% ethanol, X X 23
then frozen
Natanson et al.: Vertebral growth in the basking shark
of the basopophyses (following the ter-
minology of Walker 1975) provides only
a coarse indication of the origin of each
vertebra (Fig. 1). Cranial vertebrae
(Nos. 1 to ~10) can be distinguished by
basopophyses that are directed ventro-
laterally. Abdominal vertebrae (Nos. ~10
to ~30) are generally the largest and the
basopophyses are directed laterally. In
trunk vertebrae (Nos. ~30 to ~55), the
basopophyses start to come together
ventrally, while in tail vertebrae (Nos.
~55 to tail tip), they combine to form the
hemal arch (Fig. 1). Vertebrae from all
regions of the body contain distinct,
evenly spaced band pairs. Unless other-
wise noted, the following analyses use
only samples obtained from above the
gill area (n = 21).
Each of the 3 vertebral measurements
showed significant positive relationships
to TL (Fig. 2). The shape of the vertebrae
change as the shark grows, with the ver-
tebrae often becoming wider at the ven-
tral surface. It is due to this shape
change that we used multiple VD mea-
surements. Though we compared all the
VD measurements that we made to TL,
we used the LD measurement for the
back-calculation as the lateral growth is
symmetrical. The relationship between
LD and TL was slightly curvilinear. A
linear regression gave a significant fit to
the data (TL = [37.05 × LD] +162.70; r
2
=
0.933); however, a quadratic equation
produced a slightly better fit (TL = 49.06
+ [63.42 × LD] + [–1.26 × LD
2
]; r
2
= 0.943)
based on a lower mean square error
(1948.35 and 1750.46, respectively) and
a t-test that showed the third parameter
to be significantly different from 0 (t =
1.77; df = 21, p = 0.09) An ANCOVA
using ln-transformed data was used to
compare the LDTL relationships be-
tween the sexes. As there was no signif-
icant difference between either the
slopes or intercepts (p = 0.30 and 0.42,
respectively), the data were combined.
It was still necessary to compare the
mean back-calculated length-at-age
from both the linear- and quadratic-
modified Dahl-Lea back-calculation
equations to determine if the better
statistical fit equated to a better bio-
logical fit.
271
Table 1 (continued)
Speci- Sex Length Matu- No. Vertebra(e) Capture Storage Vertebral prepa- Band pair count
men (cm) rity of taken from location ration method of largest vertebra
TL FL PCL vertebrae X-radio- Section X-radio- Section
obtained graph graph
17 U nm 10 Dorsal NW Atlantic Frozen X X 22 15
18 M nm I 1 Med Frozen X 19
21 M 777 Ma 1 Tail NE Pacific Dried X 20
22 F nm 1 Midback region NE Pacific Dried X Unreadable (44)
23 F nm Ma 3 NE Pacific 70% ethanol X 20
24 M nm I 1 Thyrrhenian/ Formalin/alcohol (?) X 28
Med
25
c
M 545 492 439 I 1 Transverse cross Skagerrak/North Formalin fixed X 12
section of tail vert.
29 M nm 1 Just behind Kattegatt/North 80% ethanol X 12
second dorsal fin
30 F 415 1 Beneath Kattegatt/North 80% ethanol X 11
second dorsal tail
32 U nm 1 Dried X 16
33 U nm 2 Trunk Skagerrak/North Formalin fixed, X 13
80% ethanol
34 U nm 1 Tail Kattegatt/North Dried X 28
35 U nm 1 Formalin fixed, X 33
60% ethanol
39 U nm 2 Abdomen NW Atlantic Frozen X X 25 26
a
Calculated TL
b
Almost mature
c
Jagerskold sample
d
This specimen was difficult to read using X-radiography by eye, thus, the digital image analysis count was used
Mar Ecol Prog Ser 361: 267278, 2008
Whole columns
Examination of vertebrae from different positions
along the column of 3 specimens of various lengths
(261, 457 and 714 cm) showed that the vertebral
dimensions decline as vertebral number increases
(Fig. 3a). This trend is minor in small animals and dra-
matic in larger animals. Analyses of the VDTL rela-
tionship were performed separately on vertebrae
obtained from 3 different regions: abdomen, trunk and
tail (as described in ‘Results; Morphology of the verte-
brae’). Comparison of the regressions of these 3 re-
gions indicated that there was a significant difference
in these relationships for all 3 VD measurements and
all 3 regions (ANOVA; p < 0.05); therefore, conversions
of VD to TL can only be used if the vertebrae are taken
from the same region of the body.
Band pair counts differed along the vertebral col-
umn, particularly in the largest individual. Counts
were low at the cranium, increased to a plateau and
272
Fig. 1. Cetorhinus maximus. Photographs of 5 vertebrae from
the vertebral column of Specimen 40 (total length, TL = 457
cm). Photographs are not to scale. Lateral diameters (LD, mm)
are shown for each vertebra. B = basapophysis. Terminology
follows Walker (1975). Number refers to position of the
vertebra along the vertebral column
0
100
200
300
400
500
600
700
800
900
0 2 4 6 8 10 12 14 16 18
Vertebral measurement (cm)
Total length (cm)
Dorsal diameter (DD)
Lateral diameter (LD)
Vertebral length (VL)
TL = –1.26 × LD
2
+ 63.42 × LD + 49.06
r
2
= 0.943, n = 21
Fig. 2. Cetorhinus maximus. Relationship between vertebral
dimensions and total length (TL). Quadratic fit is shown for
the lateral diameter relationship
0
20
40
60
80
100
120
140
160
180
a
b
0 10 20 30 40 50 60 70 80 90
0 10 20 30 40 50 60 70 80 90
Lateral diameter (mm)
Sample 40 (457 cm TL)
Sample 36 (261 cm TL)
Sample 38 (714 cm TL)
0
5
10
15
20
25
30
Vertebral number
Band pair count
Sample 40 (457 cm TL)
Sample 38 (714 cm TL)
Sample 36 (261 cm TL)
Fig. 3. Cetorhinus maximus. Relationship between (a) lateral
diameter or (b) band pair number and vertebral number for
3 specimens. Specimens 36 (261 cm) and 40 (457 cm) are head
to pre-caudal pit, while Specimen 38 (714 cm) starts just
behind the head (estimated at vertebra no. 5) and extends to
the tip of the tail. TL: total length
Natanson et al.: Vertebral growth in the basking shark
then decreased toward the caudal region (Fig. 3b).
Specimen 38 (714 cm) was missing the first few verte-
brae of the column, thus the extreme cranial vertebral
counts are missing. However, it is clear that the counts
along this column follow the described pattern, as the
first vertebra counted (~ No. 5) was lower than the sub-
sequent 2 (~ Nos. 10 and 15), followed by a steep
decline in band pair count to the caudal region. Band
pair count along the column changes ontogenetically.
The band pair counts of vertebrae of a small basking
shark (261 cm) (from plateau to pre-caudal pit) never
differed by more than 1. However, counts from the
457 cm (from plateau to pre-caudal pit) and 714 cm
(from plateau to tip of tail) specimens differed by up to
3 and 20 band pairs, respectively. Additionally, com-
parisons of counts between cranial and caudal verte-
brae from the same specimen of 8 additional sharks
showed clear differences in band pair counts in the
larger specimens (Table 2).
Angle change
The diameter of the angle change differed depend-
ing on the location of the vertebra along the vertebral
column. Due to the subjectivity of the location of the
angle change on the face of the vertebrae, the angle
change measurement between different researchers
was not consistent. The angle change is generally pre-
sumed to represent the birth band (Casey et al. 1985)
and those bands deposited prior to the angle change
pre-birth bands; although we do not have validation,
we will use this terminology. Average birth VD and
numbers of pre-birth bands were derived from the
vertebral sections only.
Using the sections only (n = 11), the number of pre-
birth bands ranged from 6 to 10 (mean ± 95% CI = 8.4 ±
0.81). The average angle change diameter occurred at
5.26 cm (95% CI, ±0.47 cm). Mean length at birth cal-
culated using the quadratic-modified Dahl-Lea back-
calculation method ranged from 87 to 321 cm (mean ±
95% CI = 196.8 ± 57.2 cm), while that calculated using
the linear-modified Dahl-Lea back-calculation method
ranged from 243 to 376 cm (mean ± 95% CI = 301.2 ±
30.9 cm).
Bias and precision of band pair counts
Band pairs were visible in all vertebrae using all
techniques (Fig. 4). In some cases, dried vertebrae
were distorted and interpretation was difficult. In addi-
tion, band pairs at the centrum edges of large verte-
brae were difficult to discern using X-radiography.
Two vertebrae were considered unreadable using
273
Table 2. Cetorhinus maximus. Data on samples with >1 verte-
bra from an individual vertebral column. Number in paren-
theses is approximate number along the column, if known.
Large, medium and small are relative to available vertebrae
from the sample and not to area along the column. TL: total
length, na: not available
Specimen TL (cm) Large Medium Small
3 375.9 10 (2) na 11 (35)
5 853.4 26 (40) na 20 (45)
15 686 30 (10) na 22 (45)
31 550 19 (40) 18 (50) 8 (60)
4na27na15
6na27na15
23 na 13 13 13
33 na 12 na 11
Fig. 4. Cetorhinus maximus. Comparison of X-radiographed
and sectioned vertebrae from Specimen 13. A split band is
noted on the edge of the sectioned vertebrae; this would show
on an X-radiograph as 2 band pairs (see ‘Results; Bias and
precision of band pair counts’)
Mar Ecol Prog Ser 361: 267278, 2008
X-radiography (Table 1). Sections provided very dis-
tinct band pairs on fish of all lengths.
Comparison of repeated counts using X-radiography
indicated no systematic bias between counts 1 and 2 of
1 reader (Fig. 5). The individual CVs between counts
fluctuated around the mean at 4.0. Percent agreement
to within 1 band pair occurred in 80% of the samples
(56 of 70). Additionally, the McNemar (1947), Bowker
(1948) and Evans & Hoenig (1998) chi-squared tests of
symmetry gave no indication that differences between
counts 1 and 2 were systematic rather than due to ran-
dom error (χ
2
test, p > 0.05). This level of precision was
considered acceptable, and the second count was used
in the growth curve analyses. Though the precision
(repeatability) of the counts was high, the accuracy
(reflection of the true age) was not.
Comparison of counts using vertebral sections
yielded a slightly lower CV (2.5%). While the low sam-
ple size limits the value of the analyses, the bias graphs
indicated no bias between counts. Percent agreement
to within 1 band pair occurred in 83% of the samples
(10 of 12). Additionally, the McNemar (1947), Bowker
(1948) and Evans & Hoenig (1998) chi-squared tests of
symmetry gave no indication that differences between
counts 1 and 2 were systematic rather than due to ran-
dom error (χ
2
test, p > 0.05). The sectioned counts were
then compared to those obtained using digital image
analysis and X-radiography.
While good agreement was found between counts
obtained by a single method, counts differed depend-
ing on the method used. Percent agreement to within
1 band pair between digital image analysis and X-radi-
ography occurred in 50% of the samples (21 of 42).
However, 21% (9) of readings disagreed by 4 or more
band pairs. The Bowker (1948) and Evans & Hoenig
(1998) chi-squared tests of symmetry gave no indica-
tion that differences between these methods were sys-
tematic rather than due to random error (χ
2
test, p >
0.05). In contrast, the McNemar (1947) test did indicate
that there was a systematic error (χ
2
test, p < 0.05).
Graphical comparison of these counting methods sup-
ported the McNemar (1947) results, as it was apparent
that counts from digital image analysis were higher
than those obtained from X-radiography alone. The
tests of symmetry using sectioning related to digital
image analysis (n = 8) gave no indication that differ-
ences between these methods were systematic rather
than due to random error (χ
2
test, p > 0.05). Percent
agreement to within 1 band pair between digital image
analysis and sectioning occurred in 50% of the sam-
ples (4 of 8). However, when sectioning was compared
to X-radiography (n = 12), the Evans & Hoenig (1998)
result indicated a significant difference (χ
2
test, p <
0.05), though the McNemar (1947) and Bowker (1948)
tests did not. Percent agreement to within 1 band pair
between sectioning and X-radiography occurred in
58% of the samples (7 of 12). Both methods that rely on
X-radiography produced higher counts than section-
ing, based on graphical comparison, though the small
sample sizes limit the usefulness of these analyses
(Fig. 6).
Sectioning produced high quality images on all sizes
of samples. Many splits in the opaque band were evi-
dent in sections of large vertebrae. These splits oc-
curred at the edge of the corpus calcareum at what
would be the face of the vertebra (Fig. 4). In an X-radi-
ograph of the vertebral face, these splits would appear
274
–20
–10
0
10
20
30
40
50
60
70
80
51015
20
25
30
35
Number of band pairs, second reading
Mean number of band pairs,
first reading
4
1
3
4
2
5
6
8
4
3
1
12
4
2
41
3
2
2
2
2
1
1
1
1
x = y
Fig. 5. Cetorhinus maximus. Pairwise comparison of vertebral
counts from 2 replicate band counts from X-radiographed
specimens. Each error bar represents the 95% CI for the
mean count from Reading 1 related to all fish with a given
count in Reading 2. Sample number is presented above each
error bar. The 1 to 1 equivalence line is also presented
70
60
50
40
30
20
10
0
–10
–20
5
10
15
20
25 30 35
Band pair count based
on sectioned samples
Mean number of band pair
count, by method
X-radiography n = 12
Digital image analysis n = 8
2
2
2
x = y
Fig. 6. Cetorhinus maximus. Pairwise comparison of vertebral
counts from X-radiography and digital image analysis. Each
error bar represents the 95% CI for the mean count from
reads based on X-radiography and digital image analysis to
all fish of a given count in the reading based on sections.
n = 1 except where noted. The 1 to 1 equivalence line is also
presented
Natanson et al.: Vertebral growth in the basking shark
as distinct bands and thus lead to over-counting. Addi-
tionally, X-radiographs of a whole vertebra penetrate
through both faces of the vertebral cone. Thus, shad-
ows of the band pairs on the backside will appear to be
on the face that is being counted, which can lead to
over-counting. Due to the inability of the software to
distinguish between a shadow and a band, the digital
image analysis method appeared to consistently over-
estimate the band pair count. The human reader would
also tend to overestimate counts in the larger fish when
using X-radiographs due to the difficulty of ‘reading’
the edges of the large specimens and the splits that
would not be distinguished in the X-radiograph. The
lower CV from the sectioning method also indicates
that this method is more repeatable. Unfortunately,
due to the difficulty in obtaining Cetorhinus maximus
vertebrae to section, we had to primarily use the
X-radiography method in our analyses. Band pair
counts for 21 sharks that were used in the final analy-
sis included 11 that were based on sections and 10 ba-
sed on X-radiographs. Only 4 of the 10 with X-radi-
ographs had band pair counts >17. Since this was the
point where counts obtained from the 2 processing
methods started to diverge (with the X-radiograph
counts slightly higher), only the 4 samples with
>17 band pairs were likely to be affected by processing
differences, thus these are highlighted in the figures.
Band pair counts and total length
For both sexes, the number of band pairs increased
with increasing length (Fig. 7a). The maximum num-
ber of band pairs for males and females were 30 and 27
(Specimens 13 and 38), respectively, for those where
vertebral location in the spinal column was known.
The highest number of band pairs in any sample was
33 using X-radiography (Specimens 13 and 35) and 47
from digital image analysis (Specimen 35). The small-
est specimen (No. 36) had 6 band pairs.
DISCUSSION
It is evident upon examination of published literature
on basking shark vertebral morphology and age and
growth that authors have known that the basking
shark vertebrae are irregular compared to other spe-
cies of elasmobranch. Hasse (1882) and Ridewood
(1921) highlighted 2 points about the vertebral centra
of the basking shark that are critical: (1) that ‘...in pass-
ing back from the root of the caudal fin the concentric
lamellae dwindle...’ (Ridewood 1921) and (2) that the
basking shark vertebral centra are different from other
lamnoids such that the adult hind caudal vertebra are
more recognizable as lamnoid in character than the
trunk and anterior caudal vertebrae of the young.
Ridewood (1921) also noted that the band pair counts
change along the vertebral column. The difference in
appearance of basking shark vertebrae from the white
shark Carcharodon carcharias, shortfin mako Isurus
oxyrinchus, salmon shark Lamna ditropis, porbeagle
Lamna nasus or thresher Alopias vulpinus is clear and
verifies the differences Hasse (1882) and Ridewood
(1921) mentioned. Additionally, in the porbeagle,
shortfin mako and thresher, all vertebrae along the col-
umn have the same number of band pairs (Natanson et
al. 2002, 2006, B. Gervelis [NMFS] unpubl. data). Even
while proposing the biannual band pair deposition
hypothesis, Parker & Stott (1965) cast doubt on it for
the same reasoning we provide: ‘the irregularities that
occur in a single vertebra, the reduced number of rings
275
900
800
700
600
500
400
300
200
100
0
0 5 10 15 20 25 30 35 40 45
0 5 10 15 20 25 30 35 40 45
Maturity 701 cm TL
(Matthews 1950)
Maturity 701 cm TL
(Matthews 1950)
1100
1000
900
800
700
600
500
400
300
200
100
0
Band pair count
Total length (cm)
21 good samples
Lein & Aldrich (1982)
Maturity
Other studies
Springer &
Gilbert (1976) tail
a
b
Fig. 7. Cetorhinus maximus. (a) Growth data based on verte-
bral band counts from 21 specimens. Open diamonds are
samples processed using X-radiography and having counts
>17. (b) Growth data including samples from the literature
and this analysis
Mar Ecol Prog Ser 361: 267278, 2008
in the caudal region and the apparent existence of
seven rings at birth are features that do not obviously
harmonise with the idea of annual increases of two
rings.’ At the time, Parker & Stott (1965) were unable to
provide an alternate hypothesis.
While several of the previous studies that looked at
band pairs in the basking shark noted the difference
in band pair count along the vertebral column (Ride-
wood 1921, Parker & Stott 1965, Desse & Du Buit
1971), others have not found a difference along the
column (Jägerskiöld 1915, Izawa & Shibata 1993). The
disparity between these studies is in the length and
condition of the specimens examined. Izawa & Shi-
bata (1993) examined a 260 cm specimen which had 8
band pairs. In the present study we also examined a
specimen (no. 36) of 260 cm TL, which had 6 to 7
band pairs. The difference in counts between these
same-sized specimens could be due to individual vari-
ation or the fact that the specimen from the present
study was emaciated and in very poor condition. If
band pair deposition is related to girth and body sup-
port, the decreased number of band pairs in our spec-
imen may be due to its being underweight and thus
not having the girth to require support. This may also
explain the low number of band pairs and lack of dif-
ference along the length of the vertebral column in
the Jägerskiöld (1915) specimen. Photographs pre-
sented in that publication show a thin, underweight
specimen. This specimen would be expected to show
some band pair count variation along the vertebral
column based on our observations along the column
of a 550 cm specimen which had band pair counts
ranging from 8 to 18 for small and large vertebrae,
respectively. Jägerskiöld’s (1915) specimen had fewer
bands than would be expected on the largest verte-
brae based on length (our 457 cm specimen had 12
band pairs and our 550 cm specimen had 18). The
count is not in question as our Sample 25 is Jäger-
skiöld’s (1915) sample and we obtained the same
count (12). While the lower band pair count could be
due to individual variation, combined with the lack of
variation along the column, this suggests that this
specimen is anomalous. Ridewood (1921) and Desse &
Du Buit (1971), examined specimens of various stages
(an adult, a young individual and an individual of
15 m TL), and did find a difference in band pair count
in vertebrae taken from along the vertebral column.
Parker & Stott (1965) noted Ridewood’s (1921) find-
ings of changes in counts along the column and
though their specimens widely ranged in length
(475 to 877 cm), they sampled from 1 area along the
column to maintain consistency. Since none of these
previous authors examined whole columns from a
range of specimen lengths, they did not take note of
the ontogenetic changes in band pair number.
Vertebral growth zone deposition in the basking
shark is similar to that of the angel shark Squatina cal-
ifornica (Natanson & Cailliet 1990). The angel shark,
the gummy shark Mustelus antarcticus and the school
shark Galeorhinus galeus have all been found to have
a change in band pair count along the vertebral col-
umn (Ridewood 1921, Natanson & Cailliet 1990, Offi-
cer et al. 1996). In both the angel shark and the bask-
ing shark, the band pair counts along the vertebral
column are similar in the young, and progressively
become variable along the column so that in adults,
counts are low in the cranial vertebrae, increase to a
plateau at the anterior abdominal area and decrease
toward the tail (Natanson & Cailliet 1990; their Fig. 2).
Additionally, Natanson & Cailliet (1990) documented
that angel sharks are born with 7 band pairs. Parker &
Stott (1965) first suggested that basking sharks had
7 or possibly 8 band pairs at birth, which corresponds
to results from the present study indicating an average
of 8 pre-birth band pairs. Most elasmobranch age
studies do not indicate if band pair counts along the
vertebral column were examined; however, this is an
important step in determining the usefulness of the
vertebrae as an aging structure. Consistency in loca-
tion of vertebral sampling is important not only for cal-
culating the relationship between vertebral dimension
and body length (Natanson et al. 2006, Piercy et al.
2006) but also for comparison of band pair count.
Though many studies have shown that band pair
counts are consistent along the vertebral column
(Natanson et al. 2002, 2006, Joung et al. 2004, Knee-
bone 2005, Bishop et al. 2006, Piercy et al. 2006,
B. Gervelis [NMFS] unpubl. data), the results of those
studies that do show a difference highlight the need to
examine band pair counts along the column of every
species aged.
Angel sharks deposit band pairs relative to growth
rather than time (Natanson & Cailliet 1990) and the
similarities in vertebral growth between the angel
shark and the basking shark suggest that vertebral
growth in basking shark might also be related to
somatic growth; however, age validation for the bask-
ing shark has not been completed. The consistency of
the growth bands suggests that they might be related
to a structural component of the vertebral column and
the increase in structural bands in the thickest part of
the shark also suggests a strengthening component.
Band pair deposition in the angel shark appears to be
related to growth in girth and therefore to provide
physical support for the growing vertebrae in the
widest part of the animal (Natanson & Cailliet 1990).
Unfortunately, girth data were not available for most of
the samples in the present study for comparison.
Counting band pairs in the basking shark is not diffi-
cult regardless of preparation method. There is a high
276
Natanson et al.: Vertebral growth in the basking shark
level of repeatability of counts within each method.
Results between methods, however, indicate that use
of X-radiography overestimates band pair number in
specimens with >17 band pairs. Most of the previous
studies on the basking shark appear to use either sec-
tions or whole vertebrae, and thus band pair counts
between studies are comparable if the vertebrae are
taken from the same location of the vertebral column.
Often this is not the case, which explains the discrep-
ancy between Springer & Gilbert’s (1976) Sarasota
basking shark ‘age’ (16) and Eastern Atlantic speci-
mens of similar length (22). Springer & Gilbert (1976)
were comparing the counts from a pelvic vertebra to
counts from a pre-caudal vertebra. A count difference
of >7 band pairs could be obtained from these 2 areas
of the vertebral column in a shark this length (based
on counts from a similar length shark; Specimen 38;
Table 2).
Overall, band pair counts from the present study
seem to fit those reported in the literature, although
there is count variation in specimens of similar lengths.
This difference could be due to the unknown location
of some of these vertebrae along the respective verte-
bral columns or to individual variation in somatic
growth (Fig. 7b). Lein & Aldrich (1982) presented a
maximum and a minimum count for their samples.
They noted the change in counts along the column and
the maximum count came from the largest vertebra
from a specimen (J. Lein pers. comm.). Additionally,
they were counting on the face of fresh (unpreserved)
unprepared vertebrae (J. Lein pers. comm.). Due to the
similarity in location of these vertebrae to our 21 sam-
ples of known location, we can compare the counts
between the studies and thus enhance the sample size.
Changes in band pair width led to Parker & Stott’s
(1965) conclusion that 7 band pairs were deposited
prior to birth. Because they assumed no difference in
pre-gestational and post-gestational deposition, they
estimated a 3.5 yr gestation. Current information on
the pre-birth bands for the angel shark gives us more
insight as to possibilities for the basking shark. The
angel shark has 7 pre-birth band pairs yet has only a
10 mo gestation period. The 7 pre-birth bands are pre-
sumably what is needed mechanically to support the
neonate at the birth length. The change in band spac-
ing between pre- and postnatal basking shark vertebra
noted by Parker & Stott (1965) is possibly related to the
change in growth rate between the rapidly growing
embryo and the slower growing neonate. Our finding
of 8 pre-birth bands corresponds to an average length
at birth of 197 cm TL using the quadratic-modified and
301 cm TL using the linear-modified Dahl-Lea back-
calculation equations. Currently, the birth length of
this species is not well documented. Matthews (1950)
suggested a birth length of 6 feet (183 cm TL) based on
a lack of observations of smaller individuals. Springer
& Gilbert (1976) stated that no free-swimming young
<200 cm have been recorded; however, the smallest
free-swimming specimen is 180 cm (Lein & Fawcett
1986). Historically, Templeman (1963) reported on a
200 cm postnatal specimen from 1833. These appear to
be the smallest reliably reported specimens on record.
The few measured small free-swimming specimens
are similar in length to those mentioned in the anecdo-
tal reports and suggest a reasonable estimated birth
length for Cetorhinus maximus of approximately 180
to 200 cm, which is similar to our quadratic-modified
Dahl-Lea estimate (197 cm TL). This suggests that the
quadratic-estimated back-calculation is, both statisti-
cally and biologically, the preferred method for esti-
mating age at previous length in this species.
The current evidence suggests that the basking
shark may deposit band pairs relative to structural
morphology rather than time. Regardless, it is evident
that while the vertebrae from the basking shark grow
proportionally to the body length and have distinct
band pairs, the band pairs may not be formed relative
to an increment of time, and thus the vertebrae from
this species may not be useful for determining age.
Ongoing studies into the validation of the band pairs
should provide a more definitive picture of the verte-
bral deposition in this species.
Acknowledgements. The assistance of the following people is
gratefully acknowledged: D. C. Bernvi, B. C. Delius, P. Dey-
nat, G. Nilson, C. Stenberg and 2 anonymous persons who
assisted in organizing X-radiography in a private hospital in
Algiers. We thank B. Runsten and J. Fong for providing
X-radiographs for this study. We thank S. F. J. Dudley for
comments on an earlier draft of the manuscript. W. Ledwell
and J. Lein provided invaluable information. K. Goldman con-
tributed much needed back-calculation expertise. G. Cailliet
and G. Skomal assisted by reviewing early versions of the
manuscript and acting as sounding boards for us in this study.
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Editorial responsibility: Kenneth Sherman,
Narragansett, Rhode Island, USA
Submitted: July 26, 2007; Accepted: January 9, 2008
Proofs received from author(s): May 21, 2008
... Seasonal band deposition is characterized by thick opaque bands typically associated with faster growth during the summer (or warmer) months and narrow translucent bands that represent slower growth during the winter (or cooler) months (Cailliet & Goldman, 2004;Christiansen et al., 2016). However, the interpretation of band pair deposition can be influenced by the presence of nonannual growth marks, such as double-banding patterns, or through factors such as somatic growth rather than seasonal growth, as seen in species like the Pacific angel shark (Squatina californica; Natanson & Cailliet, 1990), basking shark (Cetorhinus maximum; Natanson et al., 2008) and wobbegong sharks (Orectolobus ornatus, O. maculatus and O. halei; Huveneers et al., 2013). Age-estimation studies of fishes and elasmobranchs primarily rely on the verification of annual growth band formation with two of the more common and easily accessible methods: edge analysis and marginal increment analysis (Cailliet, 1990;Campana, 2014;Matta et al., 2017;Okamura et al., 2013;Okamura & Semba, 2009). ...
... Evidence of annual band deposition for combined size classes was inconclusive, whereas individual size classes (120-165 mm, 166-210 mm and 211-255 mm DW) revealed that larger yellow stingrays had more of an annual pattern of band deposition with opaque growth (thicker bands) during January and translucent growth (thinner bands) during June and August. Previous literature suggests that T A B L E 2 Reported age-at-maturity, size-at-maturity and female fecundity for family urotrygonidae species variations in band deposition are possible over time as changes along the vertebral column due to both ontogeny and somatic growth can affect the deposition rate of band pairs (Huveneers et al., 2013;Natanson et al., 2008;Natanson, Andrews, et al., 2018;Natanson, Skomal, et al., 2018). A species of wobbegong shark found in western Australia (Orectolobus hutchinsi) has similar band deposition patterns. ...
... . Subsequent to the cleaning process, three centra were selected and individually separated from the thoracic region of the vertebral column, where centra are largest along the vertebral column to maintain homogeneity between samples(Natanson et al., 2008;Natanson, Andrews, et al., 2018;Torres-Palacios et al., 2019). Centra samples were sectioned along the sagittal plane using an Isomet-type low-speed dia-mond wheel saw (model 650; South Bay Technology Inc., San Clemente, CA, USA) to a range of thickness between 0.3 and 0.5 mm (depending on the size of centra) and viewed with a stereomicroscope (Olympus SZX2-ILLT; Olympus Corporation, Tokyo, Japan). ...
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Urobatis jamaicensis is a coastal batoid species affected by habitat loss and small‐scale exploitation from fisheries and the aquarium trade, yet the life‐history information available is limited. This is the first study to assess the vertebral centra from 195 stingrays to estimate age and growth patterns, and compare them with the biannual reproductive pattern previously reported for this species. Age‐at‐size data were compared using five different growth models and found a two‐parameter von Bertalanffy growth function (VBGF), the Gompertz model and a modified VBGF fit best for males, females and sexes combined, respectively. Maturity was achieved before 1 year. However, growth did not cease with the onset of maturity, but instead slowed down. Results from marginal increment analysis and edge analysis indicated a nonannual somatic growth pattern with influences from the biannual reproduction cycle where peaks in resource allocation may be focused on ovulation rather than growth during March when larger brood sizes are present, while resources may be allocated more towards growth during August and September when brood sizes are generally smaller. These results may be used as a proxy for species with similar reproductive patterns or for those that lack annual or seasonal growth patterns.
... Over time, issues have become apparent in the use of vertebral band pairs for age estimates. Several species do not deposit band pairs annually, instead, depositing them relative to somatic growth (Natanson and Cailliet 1990;Tanaka 1990;Natanson et al. 2008). Other studies have demonstrated decreased band-pair deposition in older and larger individuals, showing that band-pair counts underestimate age (see review by Harry 2018). ...
... This positive relationship is true among individuals where larger individuals have larger centra with more band pairs (Cailliet and Goldman 2004); however, it is also true within an individual, where centrum size and number of band pairs vary along the vertebral column . Several studies have shown that small (young of the year, YOY) individuals often have the same number of band pairs throughout their vertebral column and similar centrum sizes, whereas band-pair counts and centra size increasingly vary along the vertebral column in larger, maturing individuals of the same species (Natanson and Cailliet 1990;Natanson et al. 2008;Huveneers et al. 2013;Natanson et al. 2018). This has been shown in several species belonging to different families. ...
... Variable band-pair counts among centra within an individual have now been observed in 15 species representing nine elasmobranch families (Natanson and Cailliet 1990;Natanson et al. 2008;Huveneers et al. 2013;Natanson et al. 2018;current study). The presence of this variation suggests that the mechanism that regulates the formation of band pairs is not related to time. ...
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An increasing number of studies on elasmobranchs have shown that band-pair counts in vertebral centra do not accurately reflect age. Research in sharks has indicated that the number of band pairs vary with body size and that centrum morphology is related to structural needs. A study of this kind has not been undertaken on batoids; thus, we examined the relationship between band-pair deposition and morphology of centra along the vertebral column, and ontogenetically, for five batoid species (little skate, Leucoraja erinacea, winter skate, Leucoraja ocellata, barndoor skate, Dipturus laevis, Atlantic stingray, Dasyatis sabina, and round ray, Urobatis halleri). Centrum morphology and band-pair count varied along the vertebral column in all individuals of all species, except in young of the year. Variation in band-pair counts among centra within individuals supports the hypothesis that band-pair formation is related to somatic growth and body shape rather than to an annual cycle.
... Natanson and Cailliet (1990) found that vertebral growth zones in Squatina californica reflected somatic growth but were not deposited annually. This was also found to be the case for C. maximus (Natanson et al., 2008). Age estimates for deepwater catsharks (Scyliorhinidae) are also lacking, though a modified decalcification technique developed for G. melastomus may have application to other deepwater scyliorhinid species (Correia and Figueiredo, 1997). ...
... Few studies reporting on the age and growth of chondrichthyan species have verified or validated their results, which most simply assume annual patterns of vertebral band deposition based on the.fe": validated studies to date. Validation of the temporal periodicity of vertebral banding is essential m order to ensure the accuracy of age estimates since several studies have demonstrated that band deposition is not directly related to time in all chondrichthyan species (Cailliet and Goldman, 2004;Goldman et al., 2012;Natanson and Cailliet, 1990;Natanson et al. , 2008). Age estimates for several shark and skate have been validated. ...
... They highlight the inconsistency between growth band count in known age organisms and bands in older individuals, which affected the longevity estimation. Moreover, Natanson et al. (2008) observed a difference in band growth count along an individual spine column in the basking shark, Cetorhinus maximus, a phenomenon that was common in large sharks that also affect the estimation of this parameter. Therefore, longevity estimations should be validated using techniques such as the bomb radiocarbon and the capture, tagging, and recapture of organisms (Smith et al. 2003;Francis et al. 2007;Kneebone et al. 2008). ...
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The age, growth, and longevity parameters of crocodile shark, Pseudocarcharias kamoharai, from Santa Rosa, Ecuador were estimated. A number of 328 organisms were analyzed, 158 females (69 to 117 cm total length, TL) and 170 males (72.5 to 110 cm TL). The relationship between the vertebra's radius and TL was moderate (r 2 = 0.63), indicating a relation between structure growth and the organism's size. Females were four to 14 years old and males were four to 12 years. The multimodal approach determined that the suitable equations were: The Von Bertalanffy growth function model with a fixed L 0 (45.5 cm TL), VBGM2P (L ∞ = 118.4 cm cm TL, k = 0.15) for combined sexes with a weight of evidence (W i) to its favour of 43.9%; logistic growth model (L ∞ = 109.5 cm TL, k = 0.41, L 0 = 33.1 cm TL) for females with Wi = 28.4% and VBGM2P (L ∞ = 110.4 cm TL, k = 0.16) for males with a Wi = 39.4%. No model obtained a sufficient evidence to be declared the best adjusted. The calculated longevities were 18 years for combined sexes, 16 for females, and 14 for males. ARTICLE HISTORY
... De esta forma los dos tipos de bandas, indicarían cambios de crecimiento asociados a las variaciones estacionales (Casselman, 1983, Ferreira y Vooren 1991, Officer et al. 1997. Sin embargo en algunas especies como la raya Leucoraja erinacea , el tiburón pez ángel del Pacífico, Squatina califórnica (Natanson y Cailliet 1990, Cailliet et al. 1992, el tiburón Orectolobus hutchinsi (Chidlow et al. 2007) o el tiburón peregrino Cetorhinus maximus (Natanson et al. 2008) se ha observado que no reflejan esta relación temporal en su patrón de bandas . ...
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En el presente trabajo se estudiaron las características de historia de vida en cuanto a edad, crecimiento, longevidad y talla-edad de madurez del Tiburón gatuzo, Mustelus schmitti, en el Golfo San Matías, Argentina. La edad y crecimiento fueron calculadas a partir de la lectura de bandas en secciones vertebrales evaluando cinco modelos de crecimiento. El rango de tallas registrado en los muestreos de los desembarques comerciales fue de 37 y 89 cm de longitud total (LT) para machos y entre 39 y 106 cm para hembras. Las edades observadas fueron entre 1 a 15 años para machos y 1 a 21 años para hembras. El modelo de von Bertalanffy de 2 fases para ambos sexos juntos fue seleccionado como el más adecuado según el ajuste estadístico y el criterio biológico, estimándose los siguientes parámetros: edad a la talla cero t0= -3,56 años (talla de nacimiento L0= 35,7cm); talla asintótica L∞= 103,12cm; y coeficiente de crecimiento K= 0,12 años-1. La longevidad estimada fue de 21 años. Los machos y hembras maduran a una edad y talla media similar de 5,6 años y LT50% de 66,9 cm. No se encontraron diferencias entre sexos en las curvas de crecimiento. Este estudio contribuye al conocimiento de las características de historia de vida de la especie en el sur del Atlántico sudoccidental (ASO) reportando que M. schmitti tiene un crecimiento moderado, es una de las especies más longevas dentro del género y tiene una edad media de madurez temprana que representa aproximadamente un cuarto de la longevidad estimada.
... Still, other reasons are possible, such as errors in mark-recapture tagging data associated with the difficulties to accurately measure live animals in the field, or errors in aging based on growth bands readability or a violation of the assumption of growth band pair deposition over time, given that ages are derived directly from these band pairs. For example, it has been suggested that the shortfin mako shark (Isurus oxyrinchus) changes band pair deposition over its life span from two band pairs per year to one band pair later in life (Kinney et al., 2016;Wells et al., 2013), and it has been shown for several elasmobranch species that the assumption of one band pair being formed annually over the lifetime is invalid (Andrews et al., 2011;Branstetter and Musick, 1994;Francis et al., 2007;Harry, 2017;Hsu et al., 2014;James, 2020;James and Natanson, 2020;Kalish and Johnstone, 2001;Natanson et al., 2014Natanson et al., , 2008Natanson et al., , 2018Natanson and Cailliet, 1990). In retrospect, it cannot be investigated whether erroneous mark-recapture tagging data or errors in aging explain the deviations in growth trajectories observed here. ...
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The somatic growth of individuals governs many aspects of a species’ life history and is an important parameter in the assessment of populations. Population growth parameters are typically derived by relating the length of individuals to their age, with ages commonly estimated from growth bands formed in calcified structures such as the vertebrae or dorsal fin spines. However, routinely utilized vertebrae aging methods may not be reliable for many elasmobranchs (sharks, rays and skates), motivating alternative approaches. This study evaluates the performance of seven techniques that estimate von Bertalanffy growth parameters from mark-recapture tagging data. Evaluation of the performance was done by applying each estimation technique to: 1) simulated error-free mark-recapture tagging data and comparing the estimated versus known simulated growth parameters; 2) simulated mark-recapture data considering individual growth variability, measurement error, different length-at-capture distributions, as well as different sample sizes and comparing the estimated versus known simulated growth parameters; and 3) mark-recapture data of 14 North Atlantic elasmobranch stocks and discussing the estimated growth parameters with respect to biological plausibility and conventional length-at-age data. All investigated estimation techniques returned the known simulated growth parameters when the data is without error. When errors are introduced in the simulation, Bayesian implementations of Fabens' (BFa) and Francis’ (BFr) methods were found to be most reliable. For the observed mark-recapture data only BFa gave biologically plausible results for all 14 elasmobranch stocks. Overall, the results suggest that BFa is a reliable alternative to conventional length-at-age methods for estimating growth parameters, especially in data-limited situations which commonly occur with elasmobranchs. The only prior information needed is limited expert knowledge on maximum length in the population or stock in question. A user guide is provided to facilitate application of the method.
... The taxonomy of extinct basking sharks is largely based on details of the structure of isolated gill rakers, i.e. modified dermal denticles regularly shed in these plankton feeders (Matthews and Parker, 1950;Van den Bosch, 1984;Hovestadt and Hovestadt-Euler, 2012;Welton, 2013aWelton, , 2013bNazarkin, 2014), also on maxillary teeth (if found together with other cetorhinid remains; see Shimada, 2005;Reinecke et al., 2015) and, to a lesser extent, vertebrae (Natanson et al., 2008;Welton, 2013a;Prokofiev and Sytchevskaya, 2018). The findings of at least partial skeletons are extremely rare. ...
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Basking sharks are presented in the modern fauna by a single species (Cetorhinus maximus), although they have been much more diverse in the past. This group of sharks first appeared in the fossil record in the middle Eocene of the Antarctic and the U.S.A., but most of the described extinct taxa are known from the Oligocene and lower Miocene of Europe. Gill rakers are the most abundant among basking shark remains and their morphological details play an important role in species diagnostics. The shape of isolated gill rakers from 16 Oligocene localities of Poland was analyzed using various morphological approaches, including geometric morphometrics. Results indicate that descriptive characters have a wide range of variation and low diagnostic value, and they are associated directly with the position of gill rakers on the gill arch. Morphological indices describe proportions by discrete structures and could be effective only in the identification of the stratigraphically most distant taxa. Geometric morphometrics revealed significant differences between all of the species designated earlier except for †Caucasochasma zherikhini and †Keasius parvus. At the same time, considering the obtained results on morphology along with the geographic distance, Oligocene basking sharks from Poland should be assigned to †K. parvus. Geometric morphometrics of gill rakers supports the taxonomic distinctness of both †K. rhenanus and †K. septemtrionalis. Study results indicate that reliable taxonomic attribution of extinct basking sharks by the shape of gill rakers, in the absence of other skeletal elements (teeth and/or vertebrae), should be sample-based using multivariate approaches.
... Oxytetracycline injection coupled with tagrecapture demonstrated validity of banding patterns for some species, but only if specimens could be recaptured (Holden and Vince, 1973), while methods such as bomb radiocarbon dating (Kalish, 1993) have continued to gain popularity ( Table 2). Even with several available methods, validated ageing studies remain rare (Harry, 2018), with several studies demonstrating vertebral banding patterns to be independent of chronological age (e.g., Squatina californica, the Pacific Angel shark (Cailliet et al., 1983;Natanson, 1984;Natanson andCailliet, 1986, 1990), and Cetorhinus maximus, the Basking Shark (Natanson et al., 2008). These species highlight potential errors with current methods ...
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The history of elasmobranch ageing highlights the difficulty of age estimation in animals lacking ossified structures. Ageing techniques are numerous, yet all are limited by difficulties of validation and verification and inherent subjectivity. Sample scarcity further hinders progress as limited samples cannot be risked on exploratory techniques. This study explored the use of genetic analysis of telomeres as a method of age determination in a deep-sea shark, Etmopterus granulosus, a representative of a poorly studied taxon with regard to ageing due to sample scarcity. Telomeres were amplified in 39 individuals with qPCR, compared across samples, and were found to differ across size classes. More work is needed to determine whether telomeres consistently correlate with size class across elasmobranchs. However, telomeres offer easily obtainable data that can be combined with traditional methods to provide additional points of comparison for elasmobranch biology. Our results underscore the importance of expanding current ageing methods and highlight a necessary distinction between chronological and biological ages when describing elasmobranch populations.
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The coefficients of variation and the index of precision provide a statistical test of reproducibility of aging between readers. Because the coefficients of variation and the index of precision incorporate the averaged year-class of a fish species, they are free from the shortcoming of the percent agreement method. Because variance is a better estimator than absolute difference, the coefficient of variation is a stronger estimator than the index of average percent error in providing a test statistic. -Author
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The known range of the basking shark is extended to the Gulf of Mexico by an adult female taken alive at Sarasota, Florida. Comparisons of some characters of the specimens are made with those of an adult male from in Drake's Bay, California and those of an immature specimen from the east coast of Florida. Although the Sarasota specimen differs in denticle form and in some other respects from basking sharks of the eastern North Atlantic and elsewhere, it is provisionally identified as Cetorhinus maximus (Gunnerus), here regarded as the only extant species of its genus and family. Reasons for the presence of the Sarasota specimen in warm shallow water 190 km from the continental shelf edge are postulated.
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If there are several methods for assigning an integer score to something and the true value is unknown (or even nonexistent), then one can compare the methods only with each other. We develop a new approach to detecting nonrandom differences among methods based on subtracting the smallest reading from all the readings on a specimen before combining counts into a contingency table. When there are three methods, the approach projects the cube of possible triples of scores into a regular hexagon. It conceals some information, but patterns that survive projection can become easier to detect both formally and visually. Summarizing data by projection may be necessary for achieving sufficient power to detect that methods are not equivalent. We illustrate with data on age determination of scallops from shell markings.
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Growth rings (GR) in vertebral centra of 15 whale sharks, Rhincodon typus, four female (418–750 cm precaudal length), 10 male (422–770 cm), and one of unknown sex (688 cm), were examined using x-radiography. GR counts were made from scanned images and count precision was determined using the average percentage error index (4.19%) and the index of precision D (3.31%). In females, counts ranged from 19 GR (418 cm) to 27 GR (750 cm); in males from 20 GR (670 cm) to 31 GR (770 cm). Three mature males had 20 GR (670 cm), 24 GR (744 cm) and 27 GR (755 cm). A female with 22 GR (445 cm) was adolescent. There was a linear relationship between centrum dorsal diameter and body length, and back-calculated body lengths at number of GR are presented. A linear relationship between body length and number of GR prevented the calculation of von Bertalanffy parameters from either observed or back-calculated values.