Somatic Growth Effects on the Otolith–Fish Size Relationship in Young Pond-reared Striped Bass, Morone saxatilis

1989 ◽  
Vol 46 (1) ◽  
pp. 113-121 ◽  
Author(s):  
David H. Secor ◽  
John Mark Dean
Keyword(s):  
Growth Rate ◽  
Striped Bass ◽  
Somatic Growth ◽  
Morone Saxatilis ◽  
Fish Length ◽  
Fish Size ◽  
Somatic Growth Rate ◽  
Size Relationship ◽  
Highly Correlated ◽  
Otolith Size

Somatic growth rate of pond-reared larval and juvenile striped bass, Morone saxatilis, influenced the relationship between otolith size and fish size. Slower growing groups of individuals had larger and heavier otoliths, relative to fish length, than did faster growing groups. Within each growth group, otolith and fish size were highly correlated. Daily increment formation was validated from 10 to 51 d after hatch. Significant interaction occurred between age and fish size effects on otolith size. We propose that otolith growth occurs by two interacting processes. Otoliths grow daily in an incremental manner which is independent of somatic growth. Growth also proceeds continuously within each daily cycle of increment deposition, probably in some proportion to daily somatic growth. Corollaries to the hypotheses are (1) somatic growth rate can influence the otolith–fish size relationship, (2) intraspecific variation in otolith scaling might be used to predict past differences in somatic growth rate, and (3) there is a biological rationale for the use of otolith size and fish size as predictors in age estimation.

Effect of age, growth rate, and ontogeny on the otolith size – fish size relationship in bluefish, Pomatomus saltatrix, and the implications for back-calculation of size in fish early life history stages

1995 ◽  
Vol 52 (9) ◽  
pp. 1909-1922 ◽  
Author(s):  
Jonathan A. Hare ◽  
Robert K. Cowen
Keyword(s):  
Growth Rate ◽  
Relative Size ◽  
Somatic Growth ◽  
Early Life History ◽  
Pomatomus Saltatrix ◽  
Fish Size ◽  
Life History Stages ◽  
Size Relationship ◽  
Back Calculation ◽  
Otolith Size

The otolith size – fish size relationship was examined in field-collected larval and pelagic juvenile bluefish, Pomatomus saltatrix. The purpose was to evaluate the central assumption of proportional back-calculation techniques, namely that otolith and somatic growth are in constant proportion. Age-independent variability was found between otolith size and fish size that differed between ontogenetic stages. Stage-specific growth rate effects were also identified. Finally, the otolith size – fish size relationship changed at certain ontogenetic stage transitions. These effects, as well as others that have been found, are discussed with regard to the assumption of constant proportionality between otolith growth and fish growth. In light of this discussion, the overall validity of constant proportionality becomes suspect when applied to the early life history stages of fishes. Future work should take a longitudinal approach to the analysis of the relationship between otolith growth and somatic growth. In addition, regression and proportional methods should be modified to account for growth rate and ontogenetic effects. Finally, a relative size approach is presented that is appropriate in situations that require only relative measures of fish size. This relative size approach has several benefits and these are discussed in relation to other back-calculation procedures.

Spatial Variation in Food-Limited Growth of Juvenile Greenback Flounder, Rhombosolea tapirina: Evidence from Otolith Daily Increments and Otolith Scaling

1993 ◽  
Vol 50 (12) ◽  
pp. 2558-2567 ◽  
Author(s):  
Gregory P. Jenkins ◽  
Megan Shaw ◽  
Bryce D. Stewart
Keyword(s):  
Growth Rate ◽  
Growth Rates ◽  
Somatic Growth ◽  
Feeding Rates ◽  
Otolith Growth ◽  
Somatic Growth Rate ◽  
Daily Increment ◽  
Daily Increments ◽  
Highly Correlated ◽  
The Relationship

Growth rates of juvenile flounder, Rhombosolea tapirina, determined from daily increment number, and the relationship between otolith and fish sizes (otolith scaling), were compared between two adjacent areas. Swan Bay, Victoria, a sheltered bay with a well-developed seagrass-detrital system, supports higher populations of prey and feeding rates of juvenile flounder than Port Phillip Bay, an area more exposed to waves and tidal currents. Temperature was significantly higher in Swan Bay (though generally less than 1 °C). Growth rates determined from daily increment number were similar within bays, but significantly different between bays. The pooled growth rate for Swan Bay (0.29 mm∙d−1) was significantly higher than for Port Phillip Bay (0.17 mm∙d−1). The same pattern was found for otolith scaling. Most of the variation in growth rates between the two bays was apparently related to food supply. A laboratory experiment indicated that otolith growth rate had a minimum level which was independent of somatic growth rate, and an additional component which was highly correlated with somatic growth rate. This resulted in an exponential decrease in otolith growth per unit somatic growth with increasing somatic growth rate such that variation in otolith scaling would be greatest at low growth rates.

Using a GLMM to estimate the somatic growth rate trend for male South African west coast rock lobster, Jasus lalandii

2004 ◽  
Vol 70 (2-3) ◽  
pp. 339-349 ◽  
Author(s):  
A. Brandão ◽  
D.S. Butterworth ◽  
S.J. Johnston ◽  
J.P. Glazer
Keyword(s):  
Growth Rate ◽  
South African ◽  
West Coast ◽  
Somatic Growth ◽  
Rock Lobster ◽  
Somatic Growth Rate

scholarly journals Age and growth rate variation influence the functional relationship between somatic and otolith size

2017 ◽  
Vol 74 (5) ◽  
pp. 680-692 ◽  
Author(s):  
Eloïse C. Ashworth ◽  
Norman G. Hall ◽  
S. Alex Hesp ◽  
Peter G. Coulson ◽  
Ian C. Potter
Keyword(s):  
Growth Rate ◽  
Age And Growth ◽  
Growth Effect ◽  
Parameter Estimates ◽  
Rate Variation ◽  
Fish Length ◽  
Correlated Errors ◽  
Otolith Growth ◽  
Positive Dependence ◽  
Otolith Size

Curves describing the length–otolith size relationships for juveniles and adults of six fish species with widely differing biological characteristics were fitted simultaneously to fish length and otolith size at age, assuming that deviations from those curves are correlated rather than independent. The trajectories of the somatic and otolith growth curves throughout life, which reflect changing ratios of somatic to otolith growth rates, varied markedly among species and resulted in differing trends in the relationships formed between fish and otolith size. Correlations between deviations from predicted values were always positive. Dependence of length on otolith growth rate (i.e., “growth effect”) and “correlated errors in variables” introduce bias into parameter estimates obtained from regressions describing the allometric relationships between fish lengths and otolith sizes. The approach taken in this study to describe somatic and otolith growth accounted for both of these effects and that of age to produce more reliable determinations of the length–otolith size relationships used for back-calculation and assumed when drawing inferences from sclerochronological studies.

Comparison of Otolith-Based Back-Calculation Methods to Determine Individual Growth Histories of Larval Striped Bass, Morone saxatilis

1992 ◽  
Vol 49 (7) ◽  
pp. 1439-1454 ◽  
Author(s):  
David H. Secor ◽  
John Mark Dean
Keyword(s):  
Striped Bass ◽  
Somatic Growth ◽  
Morone Saxatilis ◽  
Growth Effect ◽  
Individual Growth ◽  
Quadratic Model ◽  
Calculation Methods ◽  
Otolith Growth ◽  
Experimental Proof ◽  
Back Calculation

In rearing studies on 6- to 22-d-old larval striped bass, Morone saxatilis, we applied several back-calculation methods to known-growth larvae. A growth effect occurred on otolith diameter – standard length relationships, where slower growing larvae had relatively larger otoliths. Otolith growth was less affected by feeding regime than was somatic growth. Due to the conservative nature of otolith growth, proportional based (Biological Intercept Method) and simple linear regression methods linearized somatic growth transitions and did not estimate periods of negative growth. A quadratic regression method which used age as an additional predictor resulted in the accurate back-calculation of size at age in all groups of laboratory-reared larvae. However, when model coefficients were applied to a test population of pond-reared larvae, the quadratic model performed poorly. While differences in relative otolith size between pond- and laboratory-reared larvae could be ascribed to a temperature effect, the inability to apply the model also indicates a problem specific to regression-based methods. Theoretical rationale and experimental proof provided evidence for the inclusion of age in back-calculation models, but parameterization will have to occur for each field application.

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