<p>Reliable and comparable growth estimates are critical for accurate comparative studies, robust stock assessments, and effective fisheries management. Many studies compare Von Bertalanffy fish growth parameters (Brody growth coefficient <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(K\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>K</mi> </math></EquationSource> </InlineEquation> and asymptotic length <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\({L}_{\infty })\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>L</mi> <mi>∞</mi> </msub> <mrow> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> across species, populations, or time periods. These parameters are often obtained from literature or FishBase without accounting for the ageing method used to estimate size at age, despite known differences in age estimates from different structures. In this study, we use four species as a case study and demonstrate that fish ageing based on otoliths and scales can produce significantly different estimates of <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\({L}_{\infty }\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>L</mi> <mi>∞</mi> </msub> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(K\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>K</mi> </math></EquationSource> </InlineEquation>. We then analyse available <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(K\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>K</mi> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\({L}_{\infty }\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>L</mi> <mi>∞</mi> </msub> </math></EquationSource> </InlineEquation> records from FishBase and show that <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\({L}_{\infty }\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>L</mi> <mi>∞</mi> </msub> </math></EquationSource> </InlineEquation> values derived from scales were, on average, 15% higher than those obtained from otoliths, while <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(K\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>K</mi> </math></EquationSource> </InlineEquation> values were 20% smaller, strongly suggesting that this pattern is not limited to a few cases but likely reflects a general trend across a taxonomically diverse range of species. We strongly recommend that ageing methods be clearly reported in all growth studies and included in databases, that comparative analyses explicitly account for ageing method in statistical model structure, and that researchers consider methodological differences when interpreting growth parameter variations across studies.</p>

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Disregarding fish ageing method can compromise growth parameter comparability across studies

  • Elyza Pilipaityte,
  • Eglė Jakubavičiūtė,
  • Žilvinas Pūtys,
  • Asta Audzijonyte

摘要

Reliable and comparable growth estimates are critical for accurate comparative studies, robust stock assessments, and effective fisheries management. Many studies compare Von Bertalanffy fish growth parameters (Brody growth coefficient \(K\) K and asymptotic length \({L}_{\infty })\) L ) across species, populations, or time periods. These parameters are often obtained from literature or FishBase without accounting for the ageing method used to estimate size at age, despite known differences in age estimates from different structures. In this study, we use four species as a case study and demonstrate that fish ageing based on otoliths and scales can produce significantly different estimates of \({L}_{\infty }\) L and \(K\) K . We then analyse available \(K\) K and \({L}_{\infty }\) L records from FishBase and show that \({L}_{\infty }\) L values derived from scales were, on average, 15% higher than those obtained from otoliths, while \(K\) K values were 20% smaller, strongly suggesting that this pattern is not limited to a few cases but likely reflects a general trend across a taxonomically diverse range of species. We strongly recommend that ageing methods be clearly reported in all growth studies and included in databases, that comparative analyses explicitly account for ageing method in statistical model structure, and that researchers consider methodological differences when interpreting growth parameter variations across studies.