A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae)

Background. The power function W = a · Lb is commonly used to describe the weight–length (W–L) relation (WLR) of fish. Smaller/younger specimens may present different WLR from larger/older ones, introducing errors in the derivation of WLR of the total population. This difference appears through a br...

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Published in:Acta Ichthyologica et Piscatoria
Main Authors: M. Lanzoni, V. Aschonitis, M. Milardi, G. Castaldelli, E.A. Fano
Format: Article in Journal/Newspaper
Language:English
Published: Pensoft Publishers 2018
Subjects:
Online Access:https://doi.org/10.3750/AIEP/02400
https://doaj.org/article/0a033986611248a3b009202155b3139b
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spelling ftdoajarticles:oai:doaj.org/article:0a033986611248a3b009202155b3139b 2023-05-15T13:27:36+02:00 A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae) M. Lanzoni V. Aschonitis M. Milardi G. Castaldelli E.A. Fano 2018-06-01T00:00:00Z https://doi.org/10.3750/AIEP/02400 https://doaj.org/article/0a033986611248a3b009202155b3139b EN eng Pensoft Publishers https://aiep.pensoft.net/article/26788/download/pdf/ https://aiep.pensoft.net/article/26788/download/xml/ https://aiep.pensoft.net/article/26788/ https://doaj.org/toc/1734-1515 doi:10.3750/AIEP/02400 1734-1515 https://doaj.org/article/0a033986611248a3b009202155b3139b Acta Ichthyologica et Piscatoria, Vol 48, Iss 2, Pp 163-171 (2018) European eel LinBiExp breakpoint bootstrap regr Aquaculture. Fisheries. Angling SH1-691 article 2018 ftdoajarticles https://doi.org/10.3750/AIEP/02400 2022-12-31T02:56:03Z Background. The power function W = a · Lb is commonly used to describe the weight–length (W–L) relation (WLR) of fish. Smaller/younger specimens may present different WLR from larger/older ones, introducing errors in the derivation of WLR of the total population. This difference appears through a breakpoint in the log–log plot of W–L data and can be justified due to biological factors or due to errors in the sampling procedure. The aim of the study is to propose a bilinear model (LinBiExp) that identifies the specific coordinates of the breakpoint in the log-transformed W–L measurements. Materials and methods. The analysis was performed using 2627 W–L measurements of European eel, Anguilla anguilla (Linnaeus, 1758), from the Comacchio Lagoon (Italy). The bilinearity produced by LinBiExp model was verified through comparison of slopes and intercepts (ANOVA) of the two linear segments and through the 95% intervals of the highest posterior density (HPD) distribution of breakpoint coordinates estimated by bootstrap regression of LinBiExp. Additionally, gut content analysis was performed in order to detect any diet shift in order to justify the existence of the breakpoint. Results. The LinBiExp function identified the breakpoint coordinates (Lt, Wt) = (28.9 cm, 35.9 g). The ANOVA showed that there was a statistically significant difference between the slopes and between the intercepts of the two linear segments at 99.9% confidence level. The 95% HPD intervals of Lt and Wt were 28.4–29.4 cm and 34.5–38.0 g, respectively, based on 10 000 bootstrap estimates. The gut content analysis showed inclusion of other fish preys in the diet of eels when their weight and length exceeded the coordinates of the breakpoint in W–L data. Conclusion. The estimated breakpoint for the specific dataset was justified by the possible interrelation of ontogenetic diet shift with other metabolic processes (e.g., beginning of sexual maturation). The study showed that the LinBiExp function can be a valuable tool for detecting the absolute ... Article in Journal/Newspaper Anguilla anguilla Directory of Open Access Journals: DOAJ Articles Acta Ichthyologica et Piscatoria 48 2 163 171
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic European eel
LinBiExp
breakpoint
bootstrap regr
Aquaculture. Fisheries. Angling
SH1-691
spellingShingle European eel
LinBiExp
breakpoint
bootstrap regr
Aquaculture. Fisheries. Angling
SH1-691
M. Lanzoni
V. Aschonitis
M. Milardi
G. Castaldelli
E.A. Fano
A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae)
topic_facet European eel
LinBiExp
breakpoint
bootstrap regr
Aquaculture. Fisheries. Angling
SH1-691
description Background. The power function W = a · Lb is commonly used to describe the weight–length (W–L) relation (WLR) of fish. Smaller/younger specimens may present different WLR from larger/older ones, introducing errors in the derivation of WLR of the total population. This difference appears through a breakpoint in the log–log plot of W–L data and can be justified due to biological factors or due to errors in the sampling procedure. The aim of the study is to propose a bilinear model (LinBiExp) that identifies the specific coordinates of the breakpoint in the log-transformed W–L measurements. Materials and methods. The analysis was performed using 2627 W–L measurements of European eel, Anguilla anguilla (Linnaeus, 1758), from the Comacchio Lagoon (Italy). The bilinearity produced by LinBiExp model was verified through comparison of slopes and intercepts (ANOVA) of the two linear segments and through the 95% intervals of the highest posterior density (HPD) distribution of breakpoint coordinates estimated by bootstrap regression of LinBiExp. Additionally, gut content analysis was performed in order to detect any diet shift in order to justify the existence of the breakpoint. Results. The LinBiExp function identified the breakpoint coordinates (Lt, Wt) = (28.9 cm, 35.9 g). The ANOVA showed that there was a statistically significant difference between the slopes and between the intercepts of the two linear segments at 99.9% confidence level. The 95% HPD intervals of Lt and Wt were 28.4–29.4 cm and 34.5–38.0 g, respectively, based on 10 000 bootstrap estimates. The gut content analysis showed inclusion of other fish preys in the diet of eels when their weight and length exceeded the coordinates of the breakpoint in W–L data. Conclusion. The estimated breakpoint for the specific dataset was justified by the possible interrelation of ontogenetic diet shift with other metabolic processes (e.g., beginning of sexual maturation). The study showed that the LinBiExp function can be a valuable tool for detecting the absolute ...
format Article in Journal/Newspaper
author M. Lanzoni
V. Aschonitis
M. Milardi
G. Castaldelli
E.A. Fano
author_facet M. Lanzoni
V. Aschonitis
M. Milardi
G. Castaldelli
E.A. Fano
author_sort M. Lanzoni
title A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae)
title_short A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae)
title_full A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae)
title_fullStr A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae)
title_full_unstemmed A method to identify bimodal weight–length relations: Possible ontogenetic diet and/or metabolism shift effects in Anguilla anguilla (Actinopterygii: Anguilliformes: Anguillidae)
title_sort method to identify bimodal weight–length relations: possible ontogenetic diet and/or metabolism shift effects in anguilla anguilla (actinopterygii: anguilliformes: anguillidae)
publisher Pensoft Publishers
publishDate 2018
url https://doi.org/10.3750/AIEP/02400
https://doaj.org/article/0a033986611248a3b009202155b3139b
genre Anguilla anguilla
genre_facet Anguilla anguilla
op_source Acta Ichthyologica et Piscatoria, Vol 48, Iss 2, Pp 163-171 (2018)
op_relation https://aiep.pensoft.net/article/26788/download/pdf/
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https://aiep.pensoft.net/article/26788/
https://doaj.org/toc/1734-1515
doi:10.3750/AIEP/02400
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op_doi https://doi.org/10.3750/AIEP/02400
container_title Acta Ichthyologica et Piscatoria
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