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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-6019753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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