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Potential sources of bias in the climate sensitivities of fish otolith biochronologies
Analysis of growth increments in the hard parts of animals (e.g., fish otoliths) can be used to assess how organisms respond to variability in environmental conditions. In this study, mixed-effects models were applied to otolith data simulated for two hypothetical fish populations with assumed biolo...
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Published in: | Canadian journal of fisheries and aquatic sciences 2020-09, Vol.77 (9), p.1552-1563 |
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container_title | Canadian journal of fisheries and aquatic sciences |
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creator | Smoliński, Szymon Morrongiello, John van der Sleen, Peter Black, Bryan A Campana, Steven E |
description | Analysis of growth increments in the hard parts of animals (e.g., fish otoliths) can be used to assess how organisms respond to variability in environmental conditions. In this study, mixed-effects models were applied to otolith data simulated for two hypothetical fish populations with assumed biological parameters and known growth response to environmental variability. Our objective was to assess the sensitivity of environment–growth relationships derived from otolith biochronologies when challenged with a range of realistic ageing errors and sampling regimes. We found that the development of a robust biochronology and the precision of environmental effect estimates can be seriously hampered by insufficient sample size. Moreover, the introduction of even moderate ageing error into the data can cause substantial underestimation of environmental sources of growth variation. This underestimation diminished our capacity to correctly quantify the known environment–growth relationship and more generally will lead to overly conservative conclusions concerning the growth response to environmental change. Careful study design, reduction of ageing errors, and large sample sizes are critical prerequisites if robust inferences are to be made from biochronological data. |
doi_str_mv | 10.1139/cjfas-2019-0450 |
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In this study, mixed-effects models were applied to otolith data simulated for two hypothetical fish populations with assumed biological parameters and known growth response to environmental variability. Our objective was to assess the sensitivity of environment–growth relationships derived from otolith biochronologies when challenged with a range of realistic ageing errors and sampling regimes. We found that the development of a robust biochronology and the precision of environmental effect estimates can be seriously hampered by insufficient sample size. Moreover, the introduction of even moderate ageing error into the data can cause substantial underestimation of environmental sources of growth variation. This underestimation diminished our capacity to correctly quantify the known environment–growth relationship and more generally will lead to overly conservative conclusions concerning the growth response to environmental change. Careful study design, reduction of ageing errors, and large sample sizes are critical prerequisites if robust inferences are to be made from biochronological data.</description><subject>Age determination</subject><subject>Aging</subject><subject>Analysis</subject><subject>Climate change</subject><subject>Computer simulation</subject><subject>Environmental changes</subject><subject>Environmental conditions</subject><subject>Environmental effects</subject><subject>Environmental factors</subject><subject>Evaluation</subject><subject>Fish</subject><subject>Fish populations</subject><subject>Fishes</subject><subject>Gadus morhua</subject><subject>Growth</subject><subject>Marine</subject><subject>Modelling</subject><subject>Otolith reading</subject><subject>Otoliths</subject><subject>Populations</subject><subject>Robustness</subject><subject>Sensitivity analysis</subject><subject>Time series</subject><subject>Variability</subject><subject>Variation</subject><issn>0706-652X</issn><issn>1205-7533</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqV0s9rFDEUB_AgFlyrZ6-DnjxMm58zk2Mp_igUlbaKt_A2-7KTZZpsk6zof99sx4OFRZEQAsnn-0LII-QVoyeMCX1qNw5yyynTLZWKPiELxqlqeyXEU7KgPe3aTvHvz8jznDeUMq4YXZBvX2LBUDxMTY67ZDE30TVLD7nxoSkjNnbyt1CwyRiyL_5HnTNyPo9NLHHyZayJaMcUQ5ziup6_IEcOpowvf6_H5Ov7dzfnH9vLzx8uzs8uW6uUKK1WK43IBtDgOqskH7hjUvRqZfulAy0cR9tLtnRaWbAAHDX0blj1HWppuTgmb-a62xTvdpiL2dRXhHql4XIYmOj0IP6uRCcpVXKv2lmtYULjg4slgV1jwARTDOh83T7rhOi4pEJW__qAt1t_Z_5EJwdQHSu89fZg1bePAtUU_FnWsMvZXFxf_Yf99NieztammHNCZ7apfmz6ZRg1-wYyDw1k9g1k9g1UE3xOhGQTZoRkx3-G7gEJwsdW</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Smoliński, Szymon</creator><creator>Morrongiello, John</creator><creator>van der Sleen, Peter</creator><creator>Black, Bryan A</creator><creator>Campana, Steven E</creator><general>NRC Research Press</general><general>Canadian Science Publishing NRC Research Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>7QG</scope><scope>7QH</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7U7</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>F1W</scope><scope>H95</scope><scope>H96</scope><scope>H97</scope><scope>H98</scope><scope>H99</scope><scope>L.F</scope><scope>L.G</scope></search><sort><creationdate>20200901</creationdate><title>Potential sources of bias in the climate sensitivities of fish otolith biochronologies</title><author>Smoliński, Szymon ; 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In this study, mixed-effects models were applied to otolith data simulated for two hypothetical fish populations with assumed biological parameters and known growth response to environmental variability. Our objective was to assess the sensitivity of environment–growth relationships derived from otolith biochronologies when challenged with a range of realistic ageing errors and sampling regimes. We found that the development of a robust biochronology and the precision of environmental effect estimates can be seriously hampered by insufficient sample size. Moreover, the introduction of even moderate ageing error into the data can cause substantial underestimation of environmental sources of growth variation. This underestimation diminished our capacity to correctly quantify the known environment–growth relationship and more generally will lead to overly conservative conclusions concerning the growth response to environmental change. 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subjects | Age determination Aging Analysis Climate change Computer simulation Environmental changes Environmental conditions Environmental effects Environmental factors Evaluation Fish Fish populations Fishes Gadus morhua Growth Marine Modelling Otolith reading Otoliths Populations Robustness Sensitivity analysis Time series Variability Variation |
title | Potential sources of bias in the climate sensitivities of fish otolith biochronologies |
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