scholarly journals Decoupling of otolith and somatic growth during anadromous migration in a northern salmonid

2019 ◽  
Vol 76 (11) ◽  
pp. 1940-1953 ◽  
Author(s):  
Christie M. Morrison ◽  
Mélodie Kunegel-Lion ◽  
Colin P. Gallagher ◽  
Rick J. Wastle ◽  
Ellen V. Lea ◽  
...  
Keyword(s):  
Life History ◽  
Critical Time ◽  
Somatic Growth ◽  
Fish Growth ◽  
Calcium Deposition ◽  
Fish Length ◽  
Length Relationship ◽  
Anadromous Migration ◽  
Back Calculation ◽  
Size At Age

We assessed the fish length – otolith length relationship (FL–OL) in Dolly Varden (Salvelinus malma malma) to verify proportional growth. A decoupling was detected during first ocean migration where fish growth was occurring at a greater rate than otolith growth. Because of this decoupling, the application of traditional back-calculation models overestimated the size-at-age in premigratory char. We developed modified back-calculation equations from existing traditional models to account for this decoupling based on discontinuous piecewise regressions. The new biological intercept breakpoint method (BI–BP) provided the most accurate representation of fish size-at-age throughout all life history stages when compared with known size-at-capture values in fish. The decoupling indicates that factors other than somatic growth are important for otolith accretion. Physiological changes during smoltification likely alter calcium uptake and thereby affect calcium deposition rates on otoliths during this short but biologically critical time period of life history. It is probable that species exhibiting similar complex ontogenetic shifts in life history will likely exhibit decoupling to some extent in the FL–OL relationship.

Fitting growth models to otolith increments to reveal time-varying growth

2021 ◽  
Author(s):  
Timothy E. Essington ◽  
Mary Elizabeth Matta ◽  
Bryan A. Black ◽  
Thomas E Helser ◽  
Paul D. Spencer
Keyword(s):  
Time Series ◽  
Environmental Change ◽  
Statistical Model ◽  
Growth Model ◽  
Growth Dynamics ◽  
Fish Growth ◽  
Fish Length ◽  
Growth Increments ◽  
Otolith Increments ◽  
Size At Age

Identifying changes in fish growth is important for accurate scientific advice used for fisheries management, because environmental change is affecting fish growth and size-at-age is a critical component of contemporary stock assessment methods. Growth-increment biochronologies are time series of growth-increments derived from hard parts of marine organisms that may reveal dynamics of somatic fish growth. Here we use time series of otolith increments of two fish stocks to fit and compare a biologically-derived growth model and a generalized statistical model. Both models produced similar trajectories of annual growth trends, but the biologically-based one was more precise and predicted smaller inter-annual fluctuations than the statistical model. The biologically-based model strongly indicated covariance between anabolic and catabolic rate among individuals. Otolith size-at-age did not closely match fish length-at-age, and consequently the growth model could not accurately hindcast observed fish length-at-age. For these reasons, fitted growth dynamics from otolith biochronologies may best suited to identify growth rate fluctuations, to understand past drivers of growth dynamics, and improve ecological forecast in the face of rapid environmental change.

A state-space spatial survey-based stock assessment (SSURBA) model to inform spatial variation in relative stock trends

2020 ◽  
Vol 77 (10) ◽  
pp. 1638-1658
Author(s):  
Rajeev Kumar ◽  
Noel G. Cadigan ◽  
Nan Zheng ◽  
Divya A. Varkey ◽  
M. Joanne Morgan
Keyword(s):  
State Space ◽  
Stock Assessment ◽  
State Space Model ◽  
Logistic Function ◽  
Fish Growth ◽  
Assessment Model ◽  
Fish Length ◽  
Stock Size ◽  
Age Cohort ◽  
Size At Age

An age-structured, spatial survey-based assessment model (SSURBA) is developed and applied to the Grand Banks stock (NAFO Divisions 3LNO) of American plaice (Hippoglossoides platessoides) in Newfoundland and Labrador. The state-space model is fit to annual spatial (i.e., three divisions) stock size-at-age research vessel (RV) survey indices that are assumed to be proportional to abundance. We model index catchability (q) as a logistic function of fish length, which varies with age, cohort, and the time of the survey; therefore, the model facilitates the estimation of q values that change spatially and temporally following changes in fish growth and survey gears. The SSURBA model produces division-level estimates of fishing mortality rates (F), stock productivity, and stock size relative to the logistic catchability assumption with q = 1 for fully selected ages. The spatial model allows us to include additional survey information compared with the space-aggregated assessment model (all of 3LNO) that is currently used to assess stock status. The model can provide estimates of relative catch, which we compare with reported catch trends to partially validate the model.

Comparison of techniques of back-calculation of growth and settlement marks from the otoliths of three species of Diplodus from the Mediterranean Sea

2000 ◽  
Vol 57 (6) ◽  
pp. 1291-1299 ◽  
Author(s):  
Laurent Vigliola ◽  
Mireille Harmelin-Vivien ◽  
Mark G Meekan
Keyword(s):  
Growth Rate ◽  
Mediterranean Sea ◽  
Marked Change ◽  
Somatic Growth ◽  
Growth Curves ◽  
Increment Width ◽  
Back Calculation ◽  
The Mediterranean ◽  
Size At Age ◽  
Settlement Mark

We developed a model of back-calculation of fish size from otoliths that could accommodate both changes in the relationship between otolith and somatic growth that occur through time and variation in growth rates among individuals. We used this model to back-calculate estimates of size and growth from otoliths of three species of Diplodus from the Mediterranean Sea. The outcomes of our model were compared with those of three other models and with growth curves estimated directly from populations of fish in the field. We found that our new model produced estimates of size-at-age that were closer to those observed in the field than the biological intercept, time-varying growth, and body proportional models. Comparison of profiles of increment width from otoliths of newly settled and juvenile Diplodus puntazzo and Diplodus vulgaris showed that these species formed a settlement mark, where increment width declined at settlement. In contrast, a settlement mark was not evident in the otoliths of Diplodus sargus. However, settlement of all species coincided with a sharp decline in somatic growth rate. Thus, growth rate may provide a means of estimating the timing of settlement in species that do not display a marked change in increment width.

scholarly journals A three dimensional, full life cycle, anchovy and sardine model for the North Aegean Sea (Eastern Mediterranean): Validation, sensitivity and climatic scenario simulations

2021 ◽  
Vol 22 (3) ◽  
pp. 653
Author(s):  
ATHANASIOS GKANASOS ◽  
EUDOXIA SCHISMENOU ◽  
KOSTAS TSIARAS ◽  
STYLIANOS SOMARAKIS ◽  
MARIANNA GIANNOULAKI ◽  
...  
Keyword(s):  
Temperature Increase ◽  
Eastern Mediterranean ◽  
Larval Growth ◽  
Somatic Growth ◽  
Aegean Sea ◽  
Fish Growth ◽  
Prey Concentration ◽  
The North ◽  
North Aegean ◽  
North Aegean Sea

We present the development of a 3D full-lifecycle, individual-based model (IBM) for anchovy and sardine, online coupled to an existing hydrodynamic/biogeochemical low-trophic level (LTL) model for the North Aegean Sea. It was built upon an existing 1D model for the same species and area, with the addition of a horizontal movement scheme. In the model, both species evolve from the embryonic stage (egg+yolk sac larva) to the larval, juvenile, and adult stages. Somatic growth is simulated with the use of a “Wisconsin” type bioenergetics model and fish populations with an adaptation of the ‘super individuals’ (SI) approach. For the reference simulation and model calibration, in terms of fish growth and population biomass, the 2000-2010 period was selected. Interannual biomass variability of anchovy was successfully represented by the model, while the simulated biomass of sardine exhibited low variability and did not satisfactorily reproduce the observed interannual variability from acoustic surveys. The spatial distribution of both species’ biomass was in relatively good agreement with field data. Additional single-species simulations revealed that species compete for food resources. Temperature sensitivity experiments showed that both species reacted negatively to a temperature increase. Anchovy, in particular, was more affected since its spawning and larval growth periods largely overlap with the period of maximum yearly temperature and low prey concentration. Finally, simulation experiments using IPCC climatic scenarios showed that the predicted temperature increase and zooplankton concentration decrease in the future will negatively affect anchovy, resulting in sardine prevalence.

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.

Fecundity of the American Plaice, Hippoglossoides platessoides (Fabr.) from Grand Bank and Newfoundland Areas

1964 ◽  
Vol 21 (3) ◽  
pp. 597-612 ◽  
Author(s):  
T. K. Pitt
Keyword(s):  
Egg Production ◽  
Fish Length ◽  
Northern Slope ◽  
Southern Slope ◽  
Ovary Weight ◽  
Length Relationship ◽  
Relationship Of ◽  
Hippoglossoides Platessoides

Fecundity estimates were made on a total of 140 mature American plaice from the southern and northern slopes of the Grand Bank and from St. Mary's Bay. Log–log relationships were established between fecundity and fish length, gutted and gilled weight, age, and ovary weight. No differences were found to exist between the fecundity–length relationship of plaice from the three areas, but there is a suggestion that within areas there may be annual differences in egg production. At comparable ages plaice from the southern slope of the Grand Bank are larger in size and produce more eggs than those from the northern slope and St. Mary's Bay.

Temporal variation in the early life-history characteristics of the King George whiting (Sillaginodes punctata) from analysis of otolith microstructure

1996 ◽  
Vol 47 (6) ◽  
pp. 809 ◽  
Author(s):  
AJ Fowler ◽  
DA Short
Keyword(s):  
Life History ◽  
Growth Rates ◽  
Early Life ◽  
Somatic Growth ◽  
South Australia ◽  
Early Life History ◽  
Exponential Relationship ◽  
Life History Characteristics ◽  
Linear Relationships ◽  
Temperature Regimes

This study describes the duration of the settlement season, the somatic and otolith growth rates, and presettlement durations for Sillaginodes punctata at Barker Inlet, South Australia. The settlement season was from June to November, with settlement occurring in two phases over this period. Somatic growth rates ranged from <0.1 to 0.25 mm day-1 depending on age and time of year, making size (SL) a relatively poor indicator of age. Alternatively, otolith size (OL) was strongly related to age, but the linear relationships varied systematically among sampling occasions. Because of variation in somatic growth rates, the SL-OL relationships were relatively poor. The biological intercept method was used to back-calculate fish sizes from otolith increment widths for three samples of fish. These growth trajectories differed considerably, two being logistic in shape and the third being an exponential relationship. Presettlement durations increased from 80 to 130 days between June and September and were inversely related to growth rate. Settlement competence is related more to size than to age. The broad natural variation in early life-history characteristics is likely to relate to water temperature regimes along larval advection pathways through the long settlement season.

Slow life-history traits of a neritic predator, the bronze whaler (Carcharhinus brachyurus)

2017 ◽  
Vol 68 (3) ◽  
pp. 461 ◽  
Author(s):  
Michael Drew ◽  
Paul Rogers ◽  
Charlie Huveneers
Keyword(s):  
Life History ◽  
Growth Parameters ◽  
Isolated Populations ◽  
Life History Characteristics ◽  
Regional Estimates ◽  
Males And Females ◽  
Size At Age ◽  
Slow Growing ◽  
Best Fit ◽  
Age Estimates

Intra-species plasticity in the life-history characteristics of sharks leads to the need for regional estimates to accurately determine resilience to anthropogenic effects. The present study provides the first length-at-age, growth and maturity estimates for the bronze whaler (Carcharhinus brachyurus) from southern Australia. Age estimates were obtained from vertebral sections of 466 individuals spanning 50–308-cm total length. Maximum estimates of age for males and females were 25 and 31 years respectively. The three-parameter logistic model for females (L∞=308cm LT, k=0.15, α=742) and for males (L∞=317cm LT, k=0.13, α=782) provided the best fit to the size at age data. Males matured at a similar age (16 years), but smaller size than females (224v. 270cm LT). Growth parameters and age-at-maturity estimates were similar to those for genetically isolated C. brachyurus populations, and the sympatric dusky shark (C. obscurus). The southern Australian C. brachyurus population is long-lived, slow growing and late maturing. These growth parameters are needed to undertake demographic analyses to assess the resilience of C. brachyurus to fishing, and provide an example of a wide-ranging elasmobranch with similar life-history characteristics across isolated populations.

scholarly journals Incorporating temporal heterogeneity in environmental conditions into a somatic growth model

2017 ◽  
Vol 74 (3) ◽  
pp. 316-326 ◽  
Author(s):  
M.C. Dzul ◽  
C.B. Yackulic ◽  
J. Korman ◽  
M.D. Yard ◽  
J.D. Muehlbauer
Keyword(s):  
Food Availability ◽  
Growth Model ◽  
Environmental Conditions ◽  
Colorado River ◽  
Growth Models ◽  
Somatic Growth ◽  
Environmental Data ◽  
Fish Growth ◽  
Positive Temperature ◽  
Environmental Controls

Evaluating environmental effects on fish growth can be challenging because environmental conditions may vary at relatively fine temporal scales compared with sampling occasions. Here we develop a Bayesian state-space growth model to evaluate effects of monthly environmental data on growth of fish that are observed less frequently (e.g., from mark–recapture data where time between captures can range from months to years). We assess effects of temperature, turbidity, food availability, flow variability, and trout abundance on subadult humpback chub (Gila cypha) growth in two rivers, the Colorado River (CR) and the Little Colorado River (LCR), and we use out-of-sample prediction to rank competing models. Environmental covariates explained a high proportion of the variation in growth in both rivers; however, the best growth models were river-specific and included either positive temperature and turbidity duration effects (CR) or positive temperature and food availability effects (LCR). Our approach to analyzing environmental controls on growth should be applicable in other systems where environmental data vary over relatively short time scales compared with animal observations.

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