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Variation in length, girth and weight of large northern pikes(Esox lucius) in FinlandAuthor(s): Marco Milardi Jyrki Lappalainen & Teppo JuntunenSource: Annales Zoologici Fennici, 51(3):335-339. 2014.Published By: Finnish Zoological and Botanical Publishing BoardDOI: http://dx.doi.org/10.5735/086.051.0305URL: http://www.bioone.org/doi/full/10.5735/086.051.0305
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Ann. Zool. Fennici 51: 335–339 ISSN 0003-455X (print), ISSN 1797-2450 (online)Helsinki 30 June 2014 © Finnish Zoological and Botanical Publishing Board 2014
Variation in length, girth and weight of large northern pikes (Esox lucius) in Finland
Marco Milardi*, Jyrki Lappalainen & Teppo Juntunen
Department of Environmental Sciences, Aquatic Sciences, P.O. Box 65, FI-00014 University of
Milardi, M., Lappalainen, J. & Juntunen, T. 2014: Variation in length, girth and weight of large northern pikes (Esox lucius) in Finland. — Ann. Zool. Fennici 51: 335–339.
The relationship between total length (L, cm) and weight (W, kg) in the large northern pike (Esox lucius) was investigated using a dataset comprising 802 specimens weigh-
the equation W = aLb a = 6.648 ¥ 10–6 and b -
G, cm) — W = aGb and W = a(L ¥ G)b
W = aLb and W = aGb showed that weight
W = a(L ¥ G)b
with the parameters a = 2.426 ¥ 10–3 and b
Introduction
The northern pike (Esox lucius) is the most
Sea (Rask et al.
-
-
-
is used during the open-water period, whereas -
336 Milardi et al. ANN. ZOOL. FENNICI Vol. 51
et al. 2004).
large-sized northern pike, including also large individuals weighing more than 10 kg, which,
also compared with the ordinal date, starting
-ing. Northern pikes spawn in shallow waters
-
weight during spring months.
Material and methods
-
-
-
also available, was chosen to estimate weight in relation to length and girth. These data sets con-
-
-
The relationship between total length (L, cm) and weight (W
W = aLb, (1)
procedure without random variables and speci-
-pared weight residuals with the ordinal date, based on the assumption that gonad weight loss
would occur in a limited time window.
-tionships between length–weight residuals and
in which ineighbourhoods centred on a predictor value x
i,
xi. A smoothing parameter
determines the neighbourhood size used and here
selection criterion based on the unbiased selection
A weight estimation method was subse-
-
G
W = aGb, (2)
ANN. ZOOL. FENNICI Vol. 51 Length, girth and weight of large northern pikes 337
W = a(L ¥ G)b (3)
(Esox masquinongy
an estimation criterion to compare the gain in
Results
relationship between weight and length (Eq. 1) ¥ 10–6
a bspecimens in our sample could be considered
about 100 cm in total length whose weight
measurements, however, were removed as these
Table 1. Lengths and weights of northern pikes in different datasets.
Dataset Mean weight (kg) (min–max) Mean length (cm) (min–max) n
SVK 11.8 (10–18.8) 115.1 (100–131) 247POKA + SHS 06.2 (1–14) 093.7 (42–123) 555LGW subset of SVK 11.8 (10–18.8) 115.5 (100–131) 186All data 07.9 (1–18.8) 100.3 (42–131) 802
0
2
4
6
8
10
12
14
16
18
20
40 60 80 100 120 140
Wei
ght (
kg)
Length (cm)Fig. 1. Relationship between length and weight in large-sized northern pike (n = 802).
–6
–4
–2
0
2
4
6
8
00 50 100 150 200 250 300 350
Res
idua
l wei
ght (
kg)
Ordinal dateFig. 2. Weight residuals from the relationship between length and weight (Eq. 1) against ordinal date number when northern pikes were caught. The line is based on the Loess smoothing procedure.
-
338 Milardi et al. ANN. ZOOL. FENNICI Vol. 51
Discussion
-
that were more than 14 kg, being heavier than
measurement errors (e.g. due to imprecise scales -
prising the largest northern pikes, however, con-
scales and whose total lengths were measured
length measurements should be more prone to errors due to scale inaccuracies.
This relationship when applied to the whole dataset did not appear to be able to describe
-
-
Table 2. Parameters a and b in the length–weight relationship (Eq. 1) for the whole dataset, and comparisons of AIC values and parameters a and b for Eqs. 1, 2 and 3 in a subset of data in which maximum girth was measured.
Dataset Relationship a b AIC value AIC n
SVK + POKA + SHS LW (Eq. 1) 6.648 ¥ 10–6
LGW subset LW (Eq. 1) 0.004859 1.6417 690.0 0.0 186LGW subset GW (Eq. 2) 0.204450 1.0224 624.9 –65.1 186LGW subset LGW (Eq. 3) 0.002426 0.9739 566.3 –123.7 186
910111213141516171819
90 100 110 120 130 140
Wei
ght (
kg)
Length (cm)
910111213141516171819
30 40 50 60 70 80
Wei
ght (
kg)
Girth (cm)
910111213141516171819
4000 5000 6000 7000 8000 9000
Wei
ght (
kg)
Girth x Length (cm2)
a
b
c
Fig. 3. (a) Length, (b) maximum girth and (c) maximum girth ¥ length in relation to weight in large northern pikes (n = 186).
¥ 10–3 a b -
ter a p
ANN. ZOOL. FENNICI Vol. 51 Length, girth and weight of large northern pikes 339
-ted weight residuals against the ordinal date
during spring, which is consistent with previ-
taken into account as it could be an important
versus
or stomach contents. Also, using more than one
smaller residuals.The length–weight–girth relationship pre-
-a =
4.18 ¥ 10 and b = 1.441) and those calculated
a = 0.007 (in grams) and band a = 0.001–0.021 and b = 2.723–3.411 (min–
length–weight relationship estimated based on
Since measuring a precise weight (or gutted
-ments seems a viable approach.
Acknowledgements
References
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-
— American Fisheries Society Special Publication
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