INTRODUCTION
Argentine seabass or “mero” Acanthistius pa-
tachonicus (Jenyns, 1842) is a benthic-demersal
fish that inhabits both soft and hard bottoms at
depths not exceeding 100 m. Distribution of this
species ranges from 30° S (Brazil) to 48° S
(Patagonia, Argentina) in the Southwestern
Atlantic (SWA) (Cousseau and Perrotta 1998).
Argentine seabass comprises an important prey
for top predators such as the South American sea
lion (Otaria flavescens), cooper shark (Car-
charhinus brachyurus), tope shark (Galeorhinus
galeus) and grey nurse shark (Carcharias taurus)
(Koen Alonso et al. 2000; Lucifora 2003; Lucifo-
ra et al. 2006).
It is important to determine the role that each
species plays within the ecosystem and its posi-
tion in the trophic network for a better under-
standing of predator-prey interactions (Pauly et
al. 1998b). Interactions between species affect the
dynamics of marine fish populations (Alonso et
al. 2003), while community structures are strong-
ly influenced by piscivorous predators (Lyons
and Magnuson 1987; Tonn et al. 1992; Scharf et
al. 1997). On the other hand, studies in trophic
MARINE AND FISHERY SCIENCES 33 (1): 69-75 (2020). https://doi.org/10.47193/mafis.3312020061804
BACK-CALCULATION OF TOTAL LENGTH OF ARGENTINE SEABASS
Acanthistius patachonicus USING MORPHOMETRIC RELATIONSHIPS OF BONES
AND MEASUREMENTS OF THE BODY
CECILIA M. RIESTRA1, JORGE E. PEREZ COMESAÑA2, 3, †, KARINA A. ARIAS3,
LEANDRO L. TAMINI3and GUSTAVO E. CHIARAMONTE2, 3
1Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP),
Paseo Victoria Ocampo Nº 1, Escollera Norte, B7602HSA - Mar del Plata, Argentina
e-mail: cmriestra@inidep.edu.ar
2División Ictiología, Museo Argentino de Ciencias Naturales “Bernardino Rivadavia”,
Av. Ángel Gallardo 470, C1405 - Ciudad Autónoma de Buenos Aires, Argentina
3Estación Hidrobiológica de Puerto Quequén,
Av. Almirante Brown y Calle 520 s/n, B7631 - Quequén, Argentina
ABSTRACT. Predictive regression equations were generated to estimate total length of the Argentine seabass
(Acanthistius patachonicus) using skull and pectoral girdle bones, specific body, and otolith lengths. Regressions of
skull and pectoral girdle bones, specific body and otolith lengths were all statistically significant. Generating regres-
sions between specific bones and external characteristics of the body meaningfully increases the ability to analyse the
information obtained from studies of stomach contents of predator fish from the Southwestern Atlantic Ocean.
Key words: Diagnostic bones, piscivores, top predators, diet.
69
†Deceased 16 September 2015.
ecology have become relevant in recent years
because of their use in the construction of indices
for evaluating the health of ecosystems (Pauly et
al. 1998a, 1998b). Regarding these indices, the
trophic level has been extensively used to evalu-
ate the state of fisheries, as well as to determine
the existence of over-exploitation and the sustain-
ability of these fisheries over time (Pauly et al.
1998a, 2001, 2002). Therefore, it is extremely
important to accurately achieve great precision in
the evaluation of the diet of any predator, includ-
ing size and weight of the ingested prey, informa-
tion that is essential to define future management
and conservation strategies (Cherel et al. 2000).
Because of the difficulty of directly assessing a
predator's diet by field observations, feeding stud-
ies are based on the examination of stomach con-
tents that have not been fully digested. Usually, the
identification of prey species, as well as the esti-
mation of their length and weight, has been based
on the analysis of otoliths. The otolith is a calcified
structure that is differentially digested in the stom-
ach of predators, completely dissolved (North et
al. 1984; Jobling and Breiby 1986) or significantly
eroded modifying their morphology and making
measurements and taxonomic identification more
complex (Johnstone et al. 1990). Thereby, the
presence of certain species could be underestimat-
ed or ignored, leading to biased estimates of the
original prey sizes and the amount of prey con-
sumed (Jobling and Breiby 1986). Diagnostic
bones concerning the body length allow estimat-
ing both the ingested biomass as the prey age class
in the study of the diet of piscivorous predators
(Gosztonyi et al. 2007). Nowadays, skull and
shoulder girdle bones are a complement of the use
of otoliths in diet studies because of its resistance
to digestion (Hansel et al. 1988; Scharf et al. 1997,
1998; Gosztonyi et al. 2007; González Zeballos et
al. 2010; Perez Comesaña et al. 2013, 2014).
This paper presents the linear regression and
predictive total length equations for A. patachon-
icus based of the length of the cranial bones,
scapular bones, otoliths and specific body meas-
urements. These equations constitute a comple-
mentary tool to optimize the quantitative studies
of the diet of marine piscivorous predators.
MATERIALS AND METHODS
Two hundred specimens of A. patachonicus
captured by commercial bottom trawl vessels
operating at Puerto Quequén, Buenos Aires
Province, Argentina (fishing area: 38° 40′ S-39°
50′ S, 57° 68′-60° 08′ W) during 2013, were
analysed. Total length, predorsal length, preanal
length and head length in centimetres (±1 mm)
were registered (Figure 1) and immediately
frozen. Diagnostic bones were selected according
to Gosztonyi and Kuba (1996). Fish were placed
in boiling water for a period no longer than 2 min,
depending on the size of the specimen, to remove
bones. Once separated from the soft tissues,
bones were measured using a calliper (±0.05
mm) (Figure 2). Least square regression equa-
tions were generated using INFOSTAT/L (Di
Rienzo et al. 2010) to predict original total length
of A. patachonicus based on the predorsal, pre-
anal and head lengths. In addition, skull bones
measurements such as hyoid bar length, clei-
thrum length, dentary length, maxilla length, pre-
maxilla length, opercle length, preopercle length,
vomer length, hyomandibula length, parasphe-
noids length and otolith length have been used
(Figure 2). Total lengths were regressed on meas-
urements of the remaining bones.
RESULTS
Total length of Argentine seabass ranged
between 207 and 584 mm. Regressions relating
body measurements to total length were highly
significant (p < 0.0001). The coefficient of deter-
mination (r2) related to body measurements took
70 MARINE AND FISHERY SCIENCES 33 (1): 69-75 (2020)
values between 0.88 and 0.96, being the preanal
length the one that showed a better fit (Table 1).
Also, values of the coefficient of determination
for the lengths of diagnostic bones varied
between 0.90 and 0.96. The best fit was obtained
with the preopercle (measure 2, Figure 2) (r2=
0.96), slightly higher than those obtained with the
opercle, hyoid bar, dentary (measure 1, Figure 2),
all of them with r2=0.95, and the cleithrum (r2=
0.94), as well as the otolith length also showed a
good fit (r2=0.91) (Table 1).
All measurements, whether from diagnostic
bones or from body lengths or otoliths, showed
significant relationship with total length. Regres-
sions obtained from diagnostic bones, especially
preopercle (measure 2), dentary (measure 1),
opercle, hyoid bar and cleithrum appear to be reli-
able predictors of the length of A. patachonicus.
DISCUSSION
It is well known that the external morphology
of a prey fish can be distorted by the effect of the
predators digestive process, which can lead to
biased measurements. If prey was consumed
recently, external morphological measurements
can be estimated in an accurate way, becoming an
appropriate alternative to that of the diagnostic
bones, as is the case of the preanal length in the
present work. However, back-calculation of the
original dimensions of a fish from measurements
of diagnostic bones is not as susceptible to error
as that taken from external body measurements
(Perez Comesaña et al. 2013).
It must also be recognized that reconstruction
of the original size of fish prey from diagnostic
bones has some limitations. The effect of preserv-
atives on bone size should be taken into consider-
ation if stomach contents are stored in a chemical
stabilizer (Hansel et al. 1988; Scharf et al. 1997).
Another potential problem is the use of boiling
water to facilitate the separation of soft tissue
bones. It can cause deformation and contraction of
bones if an excessive time elapses between boil-
ing and taking of measurements. These drawbacks
were avoided in the present work since individu-
als were frozen, then thawed and boiled at con-
trolled time intervals and subsequently measured
after extraction and separation of bones.
In recent studies of the early development of A.
patachonicus, preopercle complex has been
pointed out as the most important characteristic
71
RIESTRA ET AL.: BACK-CALCULATION OF THE TOTAL LENGTH OF ACANTHISTIUS PATACHONICUS
Figure 1. Body length measurements of Acanthistius patachonicus. 1: length of the head, 2: predorsal length, 3: preanal length,
4: total length.
2
1
3
4
72 MARINE AND FISHERY SCIENCES 33 (1): 69-75 (2020)
Figure 2. Bones and otolith measurements. A: maxilla, B: premaxilla, C: dentary, D: vomer, E: parasphenoids, F: angular, G: clei-
thrum, H: hyomandibula, I: otoliths, J: hyoid bar, K: opercle, L: preopercle. Numbers (1) and (2): registered measure-
ments.
A
1
1
1
D
C
2
2
2
1
1
1
E
F
G
1
H
2
1
I
1
J
1
L
1
K
2
1
B
1 cm
that allowed the reconstruction of the develop-
ment from larva to adult stage (Villanueva Gomi-
la et al. 2015). Our results showed that two bones
from the preopercle complex (preopercle and
opercle) are also important as predictors of total
length of A. patachonicus. Likewise, our results
showed as well that dentary, hyoid and cleithrum
bar bones, aside from the distance to the anterior
insertion of the anal fin, are also good predictors
of total length of A. patachonicus.
We have found that all measurements of the
cranial bones of A. patachonicus showed a signif-
icant relationship with total length and that
regressions obtained from diagnostic bones were
reliable predictors of length. Thereby, regression
equations calculated from cranial bones and
external body measurements presented in this
work increased the quali-quantitative potential of
the information obtained from the analysis of
stomach contents of piscivorous predators of the
Southwestern Atlantic Ocean.
ACKNOWLEDGEMENTS
To Gustavo Carrizo for the drawings of the fig-
ures. Juan and Roque Bruno from the Santa
Cecilia fish market. To José Ricci for share their
facilities. To the reviewers for the constructive
comments on earlier draft of the manuscript.
INIDEP contribution no 2163.
73
RIESTRA ET AL.: BACK-CALCULATION OF THE TOTAL LENGTH OF ACANTHISTIUS PATACHONICUS
Table 1. Estimated parameters of predictive regression equations of data versus total length Acanthistius patachonicus (y =a +
bx). x: variable in mm, y: total length in mm, n: sample size, r2: coefficient of determination, SE: standard error, CI: con-
fidence interval. Numbers (1) and (2): measurements illustrated in Figure 2.
Variables (mm) n r2 a ±SE (CI 95%) b ±SE (CI 95%)
a. Maxilla (1) 200 0.93 -6.03 ±6.71 (-19.26 – 7.20) 8.18 ±0.15 (7.87 – 8.48)
b. Premaxilla (1) 193 0.92 -12.04 ±7.80 (-27.42 -3.34) 49.84 ±1.08 (47.71 – 51.97)
(2) 199 0.93 -10.19 ±6.80 (-23.61 – 3.23) 11.98 ±0.23 (11.53 – 12.43)
c. Dentary (1) 197 0.95 -8.46 ±5.93 (-20.15 3.23) 16.78 ±0.28 (16.23 – 17.33)
(2) 196 0.90 26.81 ±7.50 (12.02 41.60) 16.78 ±0.28 (16.23 – 17.33)
d. Vomer (1) 193 0.93 11.05 ±6.96 (-2.68 – 24.77) 36.82 ±0.76 (35.33 – 38.42)
(2) 191 0.91 -9.28 ±8.27 (-25.59 – 7.03) 15.48 ±0.36 (14.78 – 16.19)
e. Parasphenoid (1) 191 0.92 -30.00 ±8.22 (-46.22 – -13.79) 6.21 ±0.14 (5.94 – 6.48)
f. Angular (1) 197 0.91 -1.10 ±7.82 (-16.53 14.33) 9.34 ±0.21 (8.93 – 9.75)
g. Cleithrum (1) 180 0.94 -7.82 ±7.00 (-21.63 – 5.99) 5.18 ±0.10 (4.98 – 5.38)
h. Hyomandibula (1) 197 0.93 0.75 ±6.95 (-12.97 14.46) 16.62 ±0.33 (15.97 – 17.28)
(2) 187 0.93 -6.12 ±6.77 (-19.47 – 7.24) 12.10 ±0.23 (11.64 – 12.55)
i. Otolith (1) 197 0.91 -114.94 ±10.58 (-135.82 -94.07) 31.30 ±0.72 (29.89 – 32.72)
j. Hyoid bar (1) 196 0.95 -19.32 ±6.04 (-31.24 – -7.40) 12.98 ±0.21 (12.56 – 13.04)
k. Opercle (1) 198 0.95 12.77 ±5.71 (1.50 24.04) 11.07 ±0.19 (10.70 – 11.44)
l. Preopercle (1) 198 0.90 -17.44 ±8.81 (-34.82 – -0.06) 19.75 ±0.48 (18.81 – 20.69)
(2) 198 0.96 -17.63 ±5.01 (-27.51 – -7.75) 7.56 ±0.10 (7.35 – 7.76)
Head length 185 0.89 11.55 ±8.60 (-5.42 28.52) 2.96 ±0.08 (2.81 – 3.12)
Predorsal length 183 0.88 53.66 ± 8.13 (37.61 69.71) 2.95 ±0.08 (2.79 – 3.11)
Preanal length 185 0.96 24.58 ±4.84 (15.03 34.13) 1.65 ±0.02 (1.60 – 1.70)
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