Age structure of the Australian lungfish (Neoceratodus forsteri).
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 samp...
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2019-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0210168 |
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doaj-c8790767833f49279f3bc78917a75d492021-03-03T20:57:08ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01141e021016810.1371/journal.pone.0210168Age structure of the Australian lungfish (Neoceratodus forsteri).Stewart J FallonAndrew J McDougallTom EspinozaDavid T RobertsSteven BrooksPeter K KindMark J KennardNick BondSharon M MarshallDan SchmidtJane HughesThe 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.https://doi.org/10.1371/journal.pone.0210168 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stewart J Fallon Andrew J McDougall Tom Espinoza David T Roberts Steven Brooks Peter K Kind Mark J Kennard Nick Bond Sharon M Marshall Dan Schmidt Jane Hughes |
spellingShingle |
Stewart J Fallon Andrew J McDougall Tom Espinoza David T Roberts Steven Brooks Peter K Kind Mark J Kennard Nick Bond Sharon M Marshall Dan Schmidt Jane Hughes Age structure of the Australian lungfish (Neoceratodus forsteri). PLoS ONE |
author_facet |
Stewart J Fallon Andrew J McDougall Tom Espinoza David T Roberts Steven Brooks Peter K Kind Mark J Kennard Nick Bond Sharon M Marshall Dan Schmidt Jane Hughes |
author_sort |
Stewart J Fallon |
title |
Age structure of the Australian lungfish (Neoceratodus forsteri). |
title_short |
Age structure of the Australian lungfish (Neoceratodus forsteri). |
title_full |
Age structure of the Australian lungfish (Neoceratodus forsteri). |
title_fullStr |
Age structure of the Australian lungfish (Neoceratodus forsteri). |
title_full_unstemmed |
Age structure of the Australian lungfish (Neoceratodus forsteri). |
title_sort |
age structure of the australian lungfish (neoceratodus forsteri). |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2019-01-01 |
description |
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. |
url |
https://doi.org/10.1371/journal.pone.0210168 |
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