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A novel growth function incorporating the effects of reproductive energy allocation

Ontogenetic growth functions provide basic information in biological and ecological studies. Various growth functions classified into the Pütter model have been used historically, regardless of controversies over their appropriateness. Here, we present a novel growth function for fish and aquatic or...

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Autores principales: Manabe, Akihiro, Yamakawa, Takashi, Ohnishi, Shuhei, Akamine, Tatsuro, Narimatsu, Yoji, Tanaka, Hiroshige, Funamoto, Tetsuichiro, Ueda, Yuji, Yamamoto, Takeo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019753/
https://www.ncbi.nlm.nih.gov/pubmed/29944689
http://dx.doi.org/10.1371/journal.pone.0199346
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author Manabe, Akihiro
Yamakawa, Takashi
Ohnishi, Shuhei
Akamine, Tatsuro
Narimatsu, Yoji
Tanaka, Hiroshige
Funamoto, Tetsuichiro
Ueda, Yuji
Yamamoto, Takeo
author_facet Manabe, Akihiro
Yamakawa, Takashi
Ohnishi, Shuhei
Akamine, Tatsuro
Narimatsu, Yoji
Tanaka, Hiroshige
Funamoto, Tetsuichiro
Ueda, Yuji
Yamamoto, Takeo
author_sort Manabe, Akihiro
collection PubMed
description Ontogenetic growth functions provide basic information in biological and ecological studies. Various growth functions classified into the Pütter model have been used historically, regardless of controversies over their appropriateness. Here, we present a novel growth function for fish and aquatic organisms (generalised q-VBGF) by considering an allocation schedule of allometrically produced surplus energy between somatic growth and reproduction. The generalised q-VBGF can track growth trajectories in different life history strategies from determinate to indeterminate growth by adjusting the value of the ‘growth indeterminacy exponent’ q. The timing of maturation and attainable body size can be adjusted by the ‘maturation timing parameter’ τ while maintaining a common growth trajectory before maturation. The generalised q-VBGF is a comprehensive growth function in which exponentials in the traditional monomolecular, von Bertalanffy, Gompertz, logistic, and Richards functions are replaced with q-exponentials defined in the non-extensive Tsallis statistics, and it fits to actual data more adequately than these conventional functions. The relationship between the estimated parameter values τ and rq forms a unique hyperbola, which provides a new insight into the continuum of life history strategies of organisms.
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spelling pubmed-60197532018-07-07 A novel growth function incorporating the effects of reproductive energy allocation Manabe, Akihiro Yamakawa, Takashi Ohnishi, Shuhei Akamine, Tatsuro Narimatsu, Yoji Tanaka, Hiroshige Funamoto, Tetsuichiro Ueda, Yuji Yamamoto, Takeo PLoS One Research Article Ontogenetic growth functions provide basic information in biological and ecological studies. Various growth functions classified into the Pütter model have been used historically, regardless of controversies over their appropriateness. Here, we present a novel growth function for fish and aquatic organisms (generalised q-VBGF) by considering an allocation schedule of allometrically produced surplus energy between somatic growth and reproduction. The generalised q-VBGF can track growth trajectories in different life history strategies from determinate to indeterminate growth by adjusting the value of the ‘growth indeterminacy exponent’ q. The timing of maturation and attainable body size can be adjusted by the ‘maturation timing parameter’ τ while maintaining a common growth trajectory before maturation. The generalised q-VBGF is a comprehensive growth function in which exponentials in the traditional monomolecular, von Bertalanffy, Gompertz, logistic, and Richards functions are replaced with q-exponentials defined in the non-extensive Tsallis statistics, and it fits to actual data more adequately than these conventional functions. The relationship between the estimated parameter values τ and rq forms a unique hyperbola, which provides a new insight into the continuum of life history strategies of organisms. Public Library of Science 2018-06-26 /pmc/articles/PMC6019753/ /pubmed/29944689 http://dx.doi.org/10.1371/journal.pone.0199346 Text en © 2018 Manabe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Manabe, Akihiro
Yamakawa, Takashi
Ohnishi, Shuhei
Akamine, Tatsuro
Narimatsu, Yoji
Tanaka, Hiroshige
Funamoto, Tetsuichiro
Ueda, Yuji
Yamamoto, Takeo
A novel growth function incorporating the effects of reproductive energy allocation
title A novel growth function incorporating the effects of reproductive energy allocation
title_full A novel growth function incorporating the effects of reproductive energy allocation
title_fullStr A novel growth function incorporating the effects of reproductive energy allocation
title_full_unstemmed A novel growth function incorporating the effects of reproductive energy allocation
title_short A novel growth function incorporating the effects of reproductive energy allocation
title_sort novel growth function incorporating the effects of reproductive energy allocation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019753/
https://www.ncbi.nlm.nih.gov/pubmed/29944689
http://dx.doi.org/10.1371/journal.pone.0199346
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