Age, growth and reproduction of the protandrous hermaphrodite fish, Sarpa salpa, from the Portuguese continental coast

2016 ◽  
Vol 98 (2) ◽  
pp. 269-281 ◽  
Author(s):  
Rafaela Barros Paiva ◽  
Ana Neves ◽  
Vera Sequeira ◽  
Ana Rita Vieira ◽  
Maria José Costa ◽  
...  
Keyword(s):  
Information Criterion ◽  
Growth Function ◽  
Population Parameters ◽  
Von Bertalanffy Growth Function ◽  
Protandrous Hermaphrodite ◽  
Sarpa Salpa ◽  
Back Calculation ◽  
First Maturity ◽  
Available Information ◽  
Growth And Reproduction

Salema, Sarpa salpa is a commercial exploited species in the Atlantic Ocean with little available information for the essential population parameters, such as age, growth and reproduction. The present study aims to describe these parameters for S. salpa obtained off the coast of Portugal. Ages were estimated from the whole otolith readings; the minimum and the maximum ages observed were 0 and 14 years, respectively, corresponding to 5.2 and 41.4 cm of total length (TL). Whole otolith readings and back-calculation approaches were used to estimate the parameters of the von Bertalanffy growth function and the Akaike's information criterion value suggested that the second approach was the best one to describe the growth of salema: L∞ = 45.07 cm, k = 0.14 year−1 and t0 = −1.43 year. The species is a protandric hermaphrodite and the sex change process occurred between 28.6 and 40.9 cm TL. A short spawning season was identified, extending from September to November. The estimated length at first maturity for males was 24.5 cm TL, corresponding to an age of 2 years at first maturity. This species exhibited a determinate fecundity type and the relative annual fecundity varied between 462 and 2662 oocytes per gram of gutted weight.

scholarly journals Growth and reproduction of the deep-water rose shrimp, Parapenaeus longirostris (Lucas, 1846) (Decapoda, Penaeidae), in the Southern Tyrrhenian Sea

Crustaceana ◽  
2014 ◽  
Vol 87 (10) ◽  
pp. 1168-1184 ◽  
Author(s):  
Marco Arculeo ◽  
Marco Arculeo ◽  
Sabrina Lo Brutto ◽  
Marco Arculeo ◽  
Sabrina Lo Brutto ◽  
...  
Keyword(s):  
Deep Water ◽  
Growth Function ◽  
Western Coast ◽  
Tyrrhenian Sea ◽  
The North ◽  
Von Bertalanffy Growth Function ◽  
Parapenaeus Longirostris ◽  
Southern Tyrrhenian Sea ◽  
First Maturity ◽  
Two Peaks

From June 2006 to May 2007, monthly samples ofParapenaeus longirostris(Lucas, 1846) were collected on land from the landings of two different, although contiguous, fishing grounds exploited by the bottom trawl fisheries of the two fishing harbours of Terrasini and Porticello, located on the north-western coast of Sicily. Carapace length (CL) of the female and male deep-water rose shrimp in Terrasini ranged from 9 to 32 mm and 13 to 26 mm, respectively, whereas in Porticello the length ranged from 8 to 31 mm and 13 to 26 mm, respectively. The Von Bertalanffy Growth Function parameters for Terrasini females and males were CL∞ = 38.5 mm, year−1and CL∞ = 32.5 mm, year−1, respectively. For Porticello females and males, the parameters were CL∞ = 40 mm, year−1and CL∞ = 30 mm, year−1, respectively. Analysis of maturity stages indicates that the deep-water rose shrimp is an asynchronous batch of almost continuous spawners, although one to two peaks of activity can be detected. In both fishing areas, the reproductive phase peaked twice, once in January and again from August to September. The sizes at first maturity (CL50%) were 27.8 and 26.6 mm CL for Terrasini and Porticello, respectively.

scholarly journals Optimal exponent-pairs for the Bertalanffy-Pütter growth model

2018 ◽  
Author(s):  
Katharina Renner-Martin ◽  
Norbert Brunner ◽  
Manfred Kühleitner ◽  
Werner-Georg Nowak ◽  
Klaus Scheicher
Keyword(s):  
Differential Equation ◽  
Growth Model ◽  
Explanatory Power ◽  
Information Criterion ◽  
Optimal Growth ◽  
Growth Function ◽  
Data Fitting ◽  
Model Parameters ◽  
Data Set ◽  
Von Bertalanffy Growth Function

The Bertalanffy-Pütter growth model describes mass m at age t by means of the differential equation dm/dt = p⋅ma−q⋅mb. The special case using the Bertalanffy exponent-pair a=2/3 and b=1 is most common (it corresponds to the von Bertalanffy growth function VBGF for length in fishery literature). For data fitting using general exponents, five model parameters need to be optimized, the pair a<b of non-negative exponents, the non-negative constants p and q, and a positive initial value m0 for the differential equation. For the case b=1 it is known that for most fish data any exponent a<1 could be used to model growth without affecting the fit to the data significantly (when the other parameters p, q, m0 were optimized). Thereby, data fitting used the method of least squares, minimizing the sum of squared errors (SSE). It was conjectured that the optimization of both exponents would result in a significantly better fit of the optimal growth function to the data and thereby reduce SSE. This conjecture was tested for a data set for the mass-growth of Walleye (Sander vitreus), a fish from Lake Erie, USA. Compared to the Bertalanffy exponent-pair the optimal exponent-pair achieved a reduction of SSE by 10%. However, when the optimization of additional parameters was penalized, using the Akaike information criterion (AIC), then the optimal exponent-pair model had a higher (worse) AIC, when compared to the Bertalanffy exponent-pair. Thereby SSE and AIC are different ways to compare models. SSE is used, when predictive power is needed alone, and AIC is used, when simplicity of the model and explanatory power are needed.

Age and growth estimates of the Kwangtung skate Dipturus kwangtungensis in the waters of northern Taiwan

2015 ◽  
Vol 96 (7) ◽  
pp. 1395-1402 ◽  
Author(s):  
Shoou-Jeng Joung ◽  
Chien-Chi Chen ◽  
Kwang-Ming Liu ◽  
Tzu-Chi Hsieh
Keyword(s):  
Growth Parameters ◽  
Information Criterion ◽  
Growth Function ◽  
Age And Growth ◽  
Gompertz Function ◽  
Growth Band ◽  
Von Bertalanffy Growth Function ◽  
North Eastern ◽  
Robertson Function ◽  
Northern Taiwan

The age and growth of Kwangtung skate, Dipturus kwangtungensis, in the waters off northern Taiwan were estimated from 422 specimens collected between July 2006 and July 2008 at the Tashi fishing market in north-eastern Taiwan. The sexes-combined relationship between total length (TL) and centrum diameter (D) was estimated as follows: TL = 14.11D0.888 (N = 411, r2 = 0.94, P < 0.001). Growth band pairs (comprised of translucent and opaque bands) in vertebrae were determined to form once annually, based on the centrum edge analysis. Up to 14 band pairs were found for both sexes. The von Bertalanffy growth function (VBGF), two-parameter VBGF, the Robertson function, and the Gompertz function were used to fit the observed length-at-age data. The Akaike information criterion corrected indicated that the Gompertz function best fit the observed length at age data. Sex-specific growth functions were not significantly different; the sexes-combined growth parameters were estimated as follows: asymptotic length (L∞) = 96.7 cm TL, growth coefficient (kG) = 0.144 year−1 and constant (t0) = 5.45 year (N = 364, P < 0.01).

scholarly journals Age, growth and reproduction of the Galapagos sailfin grouper Mycteroperca olfax (Jenyns, 1840): an overdue and needed comprehensive baseline

2015 ◽  
Author(s):  
Paolo Usseglio ◽  
Alan M. Friedlander ◽  
Edward E. DeMartini ◽  
Anna Schuhbauer ◽  
Pelayo Salinas de Léon
Keyword(s):  
Growth Function ◽  
Management Plan ◽  
Parameter Estimates ◽  
Fishery Resource ◽  
Galapagos Archipelago ◽  
Von Bertalanffy Growth Function ◽  
History Information ◽  
Mean Size ◽  
Growth And Reproduction

The Galapagos Sailfin grouper, Mycteroperca olfax, locally known as bacalao and listed as vulnerable by IUCN, is culturally, economically, and ecologically important to the Galapagos archipelago and its people. It is regionally endemic to the Eastern Tropical Pacific, and, while an important fishery resource that has shown substantial declines in recent years, to date no effective management regulations are in place to ensure the sustainability of its Galapagos fishery. Previous estimates of longevity and size of maturity for bacalao are inconsistent with estimates for congeners, which questions the accuracy of prior estimates. We set out to rigorously assess the age, growth, and reproductive biology of bacalao in order to provide more accurate life history information to inform more effective fisheries management for this species. The oldest fish in our sample was 24 years old, which is 2-3 times greater than previously reported estimates of longevity. Parameter estimates for the von Bertalanffy growth function (k= 0.07, L∞= 119.1 cm TL, and to= -2.33 years) show bacalao to grow much slower and obtain substantially larger asymptotic maximum length than previous studies. Mean size at maturity (as female) was estimated at 61.1 cm TL, corresponding to an age of 7.8 years. As a protogynous hermaphrodite, size at sex change (from adult female to adult male) occurred at 83.7 cm TL, corresponding to 15.2 years of age. We found that sex ratios were extremely female biased (0.015 M:1F), with a large majority of the individuals in our experimental catch being immature (73%). Our results show that bacalao grow slower, live longer, and mature at a much larger size and greater age than previously thought, with very few mature males in the population. These findings have key implications for the fishery of this valuable species and urge for a long-due species management plan to ensure its long-term sustainability.

scholarly journals Age, growth and reproduction of the Galapagos sailfin grouper Mycteroperca olfax (Jenyns, 1840): an overdue and needed comprehensive baseline

2015 ◽  
Author(s):  
Paolo Usseglio ◽  
Alan M. Friedlander ◽  
Edward E. DeMartini ◽  
Anna Schuhbauer ◽  
Pelayo Salinas de Léon
Keyword(s):  
Growth Function ◽  
Management Plan ◽  
Parameter Estimates ◽  
Fishery Resource ◽  
Galapagos Archipelago ◽  
Von Bertalanffy Growth Function ◽  
History Information ◽  
Mean Size ◽  
Growth And Reproduction

The Galapagos Sailfin grouper, Mycteroperca olfax, locally known as bacalao and listed as vulnerable by IUCN, is culturally, economically, and ecologically important to the Galapagos archipelago and its people. It is regionally endemic to the Eastern Tropical Pacific, and, while an important fishery resource that has shown substantial declines in recent years, to date no effective management regulations are in place to ensure the sustainability of its Galapagos fishery. Previous estimates of longevity and size of maturity for bacalao are inconsistent with estimates for congeners, which questions the accuracy of prior estimates. We set out to rigorously assess the age, growth, and reproductive biology of bacalao in order to provide more accurate life history information to inform more effective fisheries management for this species. The oldest fish in our sample was 24 years old, which is 2-3 times greater than previously reported estimates of longevity. Parameter estimates for the von Bertalanffy growth function (k= 0.07, L∞= 119.1 cm TL, and to= -2.33 years) show bacalao to grow much slower and obtain substantially larger asymptotic maximum length than previous studies. Mean size at maturity (as female) was estimated at 61.1 cm TL, corresponding to an age of 7.8 years. As a protogynous hermaphrodite, size at sex change (from adult female to adult male) occurred at 83.7 cm TL, corresponding to 15.2 years of age. We found that sex ratios were extremely female biased (0.015 M:1F), with a large majority of the individuals in our experimental catch being immature (73%). Our results show that bacalao grow slower, live longer, and mature at a much larger size and greater age than previously thought, with very few mature males in the population. These findings have key implications for the fishery of this valuable species and urge for a long-due species management plan to ensure its long-term sustainability.

scholarly journals On the exponent in the von Bertalanffy growth model

2017 ◽  
Author(s):  
Katharina Renner-Martin ◽  
Norbert Brunner ◽  
Manfred Kühleitner ◽  
Georg Nowak ◽  
Klaus Scheicher
Keyword(s):  
Information Criterion ◽  
Growth Function ◽  
Data Sets ◽  
Scaling Exponent ◽  
Von Bertalanffy ◽  
Metabolic Scaling ◽  
Von Bertalanffy Growth Function ◽  
Definition Of ◽  
Growth Of Animals ◽  
Best Fit

Bertalanffy proposed the differential equation m´(t) = p × m (t) a –q × m (t) for the description of the mass growth of animals as a function m(t) of time t. He suggested that the solution using the metabolic scaling exponent a = 2/3 (von Bertalanffy growth function VBGF) would be universal for vertebrates. Several authors questioned universality, as for certain species other models would provide a better fit. This paper reconsiders this question. Using the Akaike information criterion it proposes a testable definition of ‘weak universality’ for a taxonomic group of species. (It roughly means that a model has an acceptable fit to most data sets of that group.) This definition was applied to 60 data sets from literature (37 about fish and 23 about non-fish species) and for each dataset an optimal metabolic scaling exponent 0 ≤ a opt < 1 was identified, where the model function m(t) achieved the best fit to the data. Although in general this optimal exponent differed widely from a = 2/3 of the VBGF, the VBGF was weakly universal for fish, but not for non-fish. This observation supported the conjecture that the pattern of growth for fish may be distinct. The paper discusses this conjecture.

scholarly journals Improved estimates of age, growth and reproduction for the regionally endemic Galapagos sailfin grouperMycteroperca olfax(Jenyns, 1840)

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1270 ◽  
Author(s):  
Paolo Usseglio ◽  
Alan M. Friedlander ◽  
Edward E. DeMartini ◽  
Anna Schuhbauer ◽  
Eva Schemmel ◽  
...  
Keyword(s):  
Growth Function ◽  
Management Plan ◽  
Parameter Estimates ◽  
Size At Maturity ◽  
Fishery Resource ◽  
Galapagos Archipelago ◽  
Von Bertalanffy Growth Function ◽  
Mean Size ◽  
Growth And Reproduction

The Galapagos Sailfin grouper,Mycteroperca olfax, locally known as bacalao and listed as vulnerable by the IUCN, is culturally, economically, and ecologically important to the Galapagos archipelago and its people. It is regionally endemic to the Eastern Tropical Pacific, and, while an important fishery resource that has shown substantial declines in recent years, to date no effective management regulations are in place to ensure the sustainability of the Galapagos fishery for this species. Previous estimates of longevity and size at maturity for bacalao are inconsistent with estimates for congeners, which brings into question the accuracy of prior estimates. We set out to assess the age, growth, and reproductive biology of bacalao in order to provide more accurate life history information to inform more effective fisheries management for this species. The oldest fish in our sample was 21 years old, which is 2–3 times greater than previously reported estimates of longevity. Parameter estimates for the von Bertalanffy growth function (k= 0.11,L∞= 110 cm TL, andto= − 1.7 years) show bacalao to grow much slower and attain substantially larger asymptotic maximum length than previous studies. Mean size at maturity (as female) was estimated at 65.3 cm TL, corresponding to a mean age of 6.5 years. We found that sex ratios were extremely female biased (0.009 M:1F), with a large majority of the individuals in our experimental catch being immature (79%). Our results show that bacalao grow slower, live longer, and mature at a much larger size and greater age than previously thought, with very few mature males in the population. These findings have important implications for the fishery of this valuable species and provide the impetus for a long-overdue species management plan to ensure its long-term sustainability.

Age and growth of the threatened endemic skate Rioraja agassizii (Chondrichthyes, Arhynchobatidae) in the western South Atlantic

2019 ◽  
Vol 70 (1) ◽  
pp. 84 ◽  
Author(s):  
F. P. Caltabellotta ◽  
F. M. Silva ◽  
F. S. Motta ◽  
O. B. F. Gadig
Keyword(s):  
Growth Parameters ◽  
Management Strategies ◽  
Information Criterion ◽  
Growth Function ◽  
South Atlantic ◽  
Age And Growth ◽  
Biological Information ◽  
Growth Coefficient ◽  
Von Bertalanffy Growth Function ◽  
Best Fit

The Rio skate Rioraja agassizii is a threatened endemic skate species frequently caught as bycatch in the western South Atlantic. However, there is no biological information about its age and growth parameters, which would be necessary to provide science-based information for the development of management strategies for this species. The aim of the present study was to provide information about the age and growth parameters of R. agassizii. In all, 138 vertebrae from individuals ranging in size from 9.0 to 53.2-cm total length (TL) were analysed. The edge analysis indicated a trend for annual band deposition in the vertebrae. Maximum ages estimated for males and females were 6 and 10 years respectively. Akaike’s information criterion indicated that the modified two-parameter form of the von Bertalanffy growth function (using length at birth L0=9.0cm TL) provided the best fit, with derived parameters of theoretical maximum length L∞=49.6cm TL and growth coefficient k=0.27 for males and L∞=59.0cm TL and k=0.22 for females. Our results are important to understanding the resilience of this skate species to harvest, which can contribute to the development of fisheries management strategies and conservation programs.

scholarly journals On the exponent in the von Bertalanffy growth model

2017 ◽  
Author(s):  
Katharina Renner-Martin ◽  
Norbert Brunner ◽  
Manfred Kühleitner ◽  
Georg Nowak ◽  
Klaus Scheicher
Keyword(s):  
Information Criterion ◽  
Growth Function ◽  
Data Sets ◽  
Scaling Exponent ◽  
Von Bertalanffy ◽  
Metabolic Scaling ◽  
Von Bertalanffy Growth Function ◽  
Definition Of ◽  
Growth Of Animals ◽  
Best Fit

Bertalanffy proposed the differential equation m´(t) = p × m (t) a –q × m (t) for the description of the mass growth of animals as a function m(t) of time t. He suggested that the solution using the metabolic scaling exponent a = 2/3 (von Bertalanffy growth function VBGF) would be universal for vertebrates. Several authors questioned universality, as for certain species other models would provide a better fit. This paper reconsiders this question. Using the Akaike information criterion it proposes a testable definition of ‘weak universality’ for a taxonomic group of species. (It roughly means that a model has an acceptable fit to most data sets of that group.) This definition was applied to 60 data sets from literature (37 about fish and 23 about non-fish species) and for each dataset an optimal metabolic scaling exponent 0 ≤ a opt < 1 was identified, where the model function m(t) achieved the best fit to the data. Although in general this optimal exponent differed widely from a = 2/3 of the VBGF, the VBGF was weakly universal for fish, but not for non-fish. This observation supported the conjecture that the pattern of growth for fish may be distinct. The paper discusses this conjecture.

scholarly journals Optimal exponent-pairs for the Bertalanffy-Pütter growth model

2018 ◽  
Author(s):  
Katharina Renner-Martin ◽  
Norbert Brunner ◽  
Manfred Kühleitner ◽  
Werner-Georg Nowak ◽  
Klaus Scheicher
Keyword(s):  
Differential Equation ◽  
Growth Model ◽  
Explanatory Power ◽  
Information Criterion ◽  
Optimal Growth ◽  
Growth Function ◽  
Data Fitting ◽  
Model Parameters ◽  
Data Set ◽  
Von Bertalanffy Growth Function

The Bertalanffy-Pütter growth model describes mass m at age t by means of the differential equation dm/dt = p⋅ma−q⋅mb. The special case using the Bertalanffy exponent-pair a=2/3 and b=1 is most common (it corresponds to the von Bertalanffy growth function VBGF for length in fishery literature). For data fitting using general exponents, five model parameters need to be optimized, the pair a<b of non-negative exponents, the non-negative constants p and q, and a positive initial value m0 for the differential equation. For the case b=1 it is known that for most fish data any exponent a<1 could be used to model growth without affecting the fit to the data significantly (when the other parameters p, q, m0 were optimized). Thereby, data fitting used the method of least squares, minimizing the sum of squared errors (SSE). It was conjectured that the optimization of both exponents would result in a significantly better fit of the optimal growth function to the data and thereby reduce SSE. This conjecture was tested for a data set for the mass-growth of Walleye (Sander vitreus), a fish from Lake Erie, USA. Compared to the Bertalanffy exponent-pair the optimal exponent-pair achieved a reduction of SSE by 10%. However, when the optimization of additional parameters was penalized, using the Akaike information criterion (AIC), then the optimal exponent-pair model had a higher (worse) AIC, when compared to the Bertalanffy exponent-pair. Thereby SSE and AIC are different ways to compare models. SSE is used, when predictive power is needed alone, and AIC is used, when simplicity of the model and explanatory power are needed.

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