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Diet estimation of Paralichthys orbignyanus in a coastal lagoon via quantitative fatty acid signature analysis.

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Title: Diet estimation of Paralichthys orbignyanus in a coastal lagoon via quantitative fatty acid signature analysis.
Authors: Magnone, Larisa1 larisa@fcien.edu.uy, Bessonart, Martin1,2 martinb@fcien.edu.uy, Rocamora, Martín3 rocamora@fing.edu.uy, Gadea, Juan1 juanluisgadea@gmail.com, Salhi, María1 msalhi@fcien.edu.uy
Source: Journal of Experimental Marine Biology & Ecology. Jan2015, Vol. 462, p36-49. 14p.
Subjects: Paralichthys, Fatty acid analysis, Flatfishes, Migratory fishes, Statistical models, Predation, Gastrointestinal content analysis
Abstract: Quantitative fatty acid analysis (QFASA) is a statistical model designed to quantitatively estimate predator diets using fatty acid (FA) signatures among the predator and its potential prey. QFASA estimated the diet of a migratory flatfish Paralichthys orbignyanus over its fattening stage in the Rocha lagoon (a semi-closed estuary) where all prey available to this top predator species are well known. A 20-week controlled feeding trial obtained calibration coefficients (CC) for P. orbignyanus fed two types of prey (silverside and menhaden). Several subsets of FA were tested in order to elucidate which is the most suitable for applying QFASA to this species. QFASA was applied to all CC and FA subsets to validate the model. The model predicts better the consumed diet with silverside CC than with menhaden CC. The subset which best adjusts the diet over the validation process, includes approximately 34% of total FA, containing mainly dietary FA. The diet estimation in nature for P. orbignyanus varied according to whether the model is applied with or without CC. When the diet was estimated without CC, results were similar to those based on stomach content analysis (reported in previous studies); it fed mainly on silverside (~ 88%), but also some minor soft-body species that are only evident using this kind of methodology (QFASA). When the diet was estimated with silverside CC, a higher presence of silverside (~ 97%) was observed. These results seem to indicate a tendency to overestimate the presence of the item used as prey for CC calculations. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Experimental Marine Biology & Ecology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 99697485
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Diet estimation of Paralichthys orbignyanus in a coastal lagoon via quantitative fatty acid signature analysis.
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  Data: <searchLink fieldCode="AR" term="%22Magnone%2C+Larisa%22">Magnone, Larisa</searchLink><relatesTo>1</relatesTo><i> larisa@fcien.edu.uy</i><br /><searchLink fieldCode="AR" term="%22Bessonart%2C+Martin%22">Bessonart, Martin</searchLink><relatesTo>1,2</relatesTo><i> martinb@fcien.edu.uy</i><br /><searchLink fieldCode="AR" term="%22Rocamora%2C+Martín%22">Rocamora, Martín</searchLink><relatesTo>3</relatesTo><i> rocamora@fing.edu.uy</i><br /><searchLink fieldCode="AR" term="%22Gadea%2C+Juan%22">Gadea, Juan</searchLink><relatesTo>1</relatesTo><i> juanluisgadea@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Salhi%2C+María%22">Salhi, María</searchLink><relatesTo>1</relatesTo><i> msalhi@fcien.edu.uy</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+Marine+Biology+%26+Ecology%22">Journal of Experimental Marine Biology & Ecology</searchLink>. Jan2015, Vol. 462, p36-49. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Paralichthys%22">Paralichthys</searchLink><br /><searchLink fieldCode="DE" term="%22Fatty+acid+analysis%22">Fatty acid analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Flatfishes%22">Flatfishes</searchLink><br /><searchLink fieldCode="DE" term="%22Migratory+fishes%22">Migratory fishes</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Predation%22">Predation</searchLink><br /><searchLink fieldCode="DE" term="%22Gastrointestinal+content+analysis%22">Gastrointestinal content analysis</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Quantitative fatty acid analysis (QFASA) is a statistical model designed to quantitatively estimate predator diets using fatty acid (FA) signatures among the predator and its potential prey. QFASA estimated the diet of a migratory flatfish Paralichthys orbignyanus over its fattening stage in the Rocha lagoon (a semi-closed estuary) where all prey available to this top predator species are well known. A 20-week controlled feeding trial obtained calibration coefficients (CC) for P. orbignyanus fed two types of prey (silverside and menhaden). Several subsets of FA were tested in order to elucidate which is the most suitable for applying QFASA to this species. QFASA was applied to all CC and FA subsets to validate the model. The model predicts better the consumed diet with silverside CC than with menhaden CC. The subset which best adjusts the diet over the validation process, includes approximately 34% of total FA, containing mainly dietary FA. The diet estimation in nature for P. orbignyanus varied according to whether the model is applied with or without CC. When the diet was estimated without CC, results were similar to those based on stomach content analysis (reported in previous studies); it fed mainly on silverside (~ 88%), but also some minor soft-body species that are only evident using this kind of methodology (QFASA). When the diet was estimated with silverside CC, a higher presence of silverside (~ 97%) was observed. These results seem to indicate a tendency to overestimate the presence of the item used as prey for CC calculations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Experimental Marine Biology & Ecology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.jembe.2014.10.008
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 36
    Subjects:
      – SubjectFull: Paralichthys
        Type: general
      – SubjectFull: Fatty acid analysis
        Type: general
      – SubjectFull: Flatfishes
        Type: general
      – SubjectFull: Migratory fishes
        Type: general
      – SubjectFull: Statistical models
        Type: general
      – SubjectFull: Predation
        Type: general
      – SubjectFull: Gastrointestinal content analysis
        Type: general
    Titles:
      – TitleFull: Diet estimation of Paralichthys orbignyanus in a coastal lagoon via quantitative fatty acid signature analysis.
        Type: main
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      – PersonEntity:
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            NameFull: Magnone, Larisa
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            NameFull: Bessonart, Martin
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            NameFull: Rocamora, Martín
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            NameFull: Gadea, Juan
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            NameFull: Salhi, María
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              M: 01
              Text: Jan2015
              Type: published
              Y: 2015
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              Value: 462
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            – TitleFull: Journal of Experimental Marine Biology & Ecology
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