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Age structure of the Australian lungfish (Neoceratodus forsteri).
Fallon, Stewart J; McDougall, Andrew J; Espinoza, Tom; Roberts, David T; Brooks, Steven; Kind, Peter K; Kennard, Mark J; Bond, Nick; Marshall, Sharon M; Schmidt, Dan; Hughes, Jane.
Afiliación
  • Fallon SJ; Research School of Earth Sciences, The Australian National University, Canberra, ACT, Australia.
  • McDougall AJ; Queensland Department of Natural Resources, Mines and Energy, Bundaberg, QLD, Australia.
  • Espinoza T; Queensland Department of Natural Resources, Mines and Energy, Bundaberg, QLD, Australia.
  • Roberts DT; Seqwater, Ipswich, Brisbane, QLD, Australia.
  • Brooks S; Queensland Department of Agriculture and Fisheries, Brisbane, QLD, Australia.
  • Kind PK; Queensland Department of Agriculture and Fisheries, Brisbane, QLD, Australia.
  • Kennard MJ; Griffith University, Brisbane, QLD, Australia.
  • Bond N; Griffith University, Brisbane, QLD, Australia.
  • Marshall SM; The Murray-Darling Basin Freshwater Research Centre, Latrobe University, Albury-Wodonga, Victoria, Australia.
  • Schmidt D; Queensland Department of Natural Resources, Mines and Energy, Bundaberg, QLD, Australia.
  • Hughes J; Griffith University, Brisbane, QLD, Australia.
PLoS One ; 14(1): e0210168, 2019.
Article en En | MEDLINE | ID: mdl-30673738
ABSTRACT
The Australian lungfish has been studied for more than a century without any knowledge of the longevity of the species. Traditional methods for ageing fish, such as analysis of otolith (ear stone) rings is complicated in that lungfish otoliths differ from teleost fish in composition. As otolith sampling is also lethal, this is not appropriate for a protected species listed under Australian legislation. Lungfish scales were removed from 500 fish from the Brisbane, Burnett and Mary rivers. A sub-sample of scales (85) were aged using bomb radiocarbon techniques and validated using scales marked previously with oxytetracycline. Lungfish ages ranged from 2.5-77 years of age. Estimated population age structures derived using an Age Length Key revealed different recruitment patterns between river systems. There were statistically significant von Bertalanffy growth model parameters estimated for each of the three rivers based on limited sample sizes. In addition, length frequency distributions between river systems were also significantly different. Further studies will be conducted to review drivers that may explain these inter-river differences.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Datación Radiométrica / Peces / Escamas de Animales / Longevidad País/Región como asunto: Oceania Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Datación Radiométrica / Peces / Escamas de Animales / Longevidad País/Región como asunto: Oceania Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article