Estimation of von Bertalanffy growth parameters: A versatile linear regression approach

Stamatopoulos, C.; Caddy, John F.

doi:10.1093/icesjms/45.2.200

Cited by 16 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…1994), using ‘non‐seasonal’ analytical length at age procedure. The model which resulted in the lowest sum of squares (SSQ) was used to fit the von Bertalanffy growth model for the population (Stamatopoulos & Caddy 1989), and t 0 was estimated using:…”

Section: Estimation Of Growth Parametersmentioning

confidence: 99%

Yield, growth and mortality rate of the Thai river sprat, Clupeichthys aesarnensis, in Sirinthorn Reservoir, Thailand

Jutagate

Silva

Mattson³

2003

Fisheries Management Eco

View full text Add to dashboard Cite

The Thai river sprat, Clupeichthys aesarnensis Wongratana, is a clupeid with a short life span, and supports artisanal fisheries in a number of reservoirs in the Mekong Basin. The growth parameters, mortality rates and the status of the Thai river sprat in Sirinthorn Reservoir (28 800 ha), NE Thailand (15°N; 105°E), are presented. The fishery is based on lured lift‐nets, operated 7–14 days in the new moon period, September to April each year. It was shown that the von Bertalanffy growth function (VBGF) model was Lt (mm) = 78.43[1 − exp{−0.211[t − (−0.7996)]}] and its growth conformed to an isometric pattern. Natural mortality rate (month−1) was 0.13 month−1. Total mortality rates ranged from 0.69 to 1.53 month−1 depending on the weather and the fishing season. Recruitment was continuous throughout the year but peaked in June and July. The yield per recruit model indicated that the exploitation rate of this fishery is probably too high.

show abstract

Section: Estimation Of Growth Parametersmentioning

confidence: 99%

Yield, growth and mortality rate of the Thai river sprat, Clupeichthys aesarnensis, in Sirinthorn Reservoir, Thailand

Jutagate

Silva

Mattson³

2003

Fisheries Management Eco

View full text Add to dashboard Cite

show abstract

“…Beverton and Holt (1957) popularized the current form of the VBGF by changing the original three-parameter formulation to include t 0 rather than L 0 . Several estimation techniques, ranging from linear fitting (Walford 1946;Stamatopoulos and Caddy 1989) to nonlinear least squares (Tomlinson and Abramson 1961;Marquardt 1963), iterative fitting (Rafail 1973), and likelihood (Kimura 1980) methods have subsequently been proposed. Kimura (2000) then suggested a functional regression approach to explicitly incorporate ageing error.…”

Section: Discussionmentioning

confidence: 99%

Admitting ageing error when fitting growth curves: an example using the von Bertalanffy growth function with random effects

Cope

Punt²

2007

Can. J. Fish. Aquat. Sci.

View full text Add to dashboard Cite

A way to explicitly incorporate ageing error into the estimation of von Bertalanffy growth function (VBGF) parameters using a random effects (RE) modeling framework is presented. This RE framework also accounts for the effects of selectivity on growth curve estimation by characterizing the distribution of true ages derived from multiple age reads using either an exponential or gamma distribution. Simulation testing across four life histories is used to compare the RE approach with standard nonlinear (SNL) approaches that use the primary, average, or median ages in growth estimation. Sensitivity tests compare the effects of assumed length and ageing error, selectivity, and recruitment variability on the estimation of growth curve parameters. Results support the use of the RE method using a gamma distribution over the SNL methods because RE method estimates of VBGF growth parameters were more precise across life histories and sensitivity trials. This general approach can be applied and expanded to other growth models. Applications demonstrate that the results from RE methods may differ in biologically important ways to those obtained from SNL approaches.Résumé : Nous présentons une méthode pour incorporer de façon explicite l'erreur de détermination de l'âge dans l'estimation des paramètres de la fonction de croissance de von Bertalanffy (VBGF) dans le cadre de la modélisation à effets aléatoires (RE). Ce cadre RE tient aussi compte des effets de la sélectivité sur l'estimation de la courbe de Hcroissance en caractérisant la distribution des âges réels dérivée de lectures multiples des âges à l'aide des distributions exponentielle ou gamma. Nous effectuons une vérification par simulation sur quatre cycles biologiques afin de comparer la méthodologie RE avec les méthodes standard non linéaires (SNL) qui utilisent les âges primaires, moyens ou médians dans l'estimation de la croissance. Des tests de sensibilité servent à comparer les effets des erreurs présu-mées de longueur et d'âge, de la sélectivité et de la variabilité du recrutement sur l'estimation des paramètres de la courbe de croissance. Nos résultats appuient le choix de la méthode RE avec une distribution gamma plutôt que les méthodologies SNL parce que la méthode RE génère des estimations plus précises des paramètres de croissance de VBGF au cours des cycles biologiques et dans les tests de sensibilité. Cette méthodologie générale peut être étendue et s'appliquer à d'autres modèles de croissance. Les applications des méthodes RE révèlent que les résultats peuvent différer de ceux des méthodologies SNL de différentes manières qui ont des conséquences biologiques importantes.[Traduit par la Rédaction] Cope and Punt 218

show abstract

“…Despite possible annual variations in growth, the increase during the summer was between 75 and 100% of the annual increase ( The weight-length relationship was calculated separately for males and females and for the sexes combined, for each month (Table 4). A covariance analysis indicated that the differences between sexes was generally not significant, except for the slope in September (Table 5) Allen (1966) and (b) the method of Stamatopoulos and Caddy (1989). class, than detected by the otoliths, appeared in June and July, and some inconsistencies appeared for the oldest age groups.…”

Section: Monthsmentioning

confidence: 93%

“…The von Bertalanffy model is widely accepted as a growth model forfishes (Gulland, 1969;Ricker, 1980). The growth curve was fitted using the iterative method proposed by Allen (1966) and by the linear regression technique proposed by Stamatopoulos and Caddy (1989) using the computer software CAST provided by those authors. The weight-length relationship fitted was:…”

Section: Methodsmentioning

confidence: 99%

Growth and Sexual Maturation of the American Sand Lance (Ammodytes americanus Dekay) off the North Shore of the Gulf of St. Lawrence

Brêthes¹,

Saint-Pierre²,

Desrosiers³

1992

J. Northw. Atl. Fish. Sci.

View full text Add to dashboard Cite

Samples of American sand lance (Ammodytes americanus) were collected in JuneSeptember 1983 off the north shore of the Gulf of St. Lawrence, at depths varying from 1 to 40 m. Length-frequency modes identified by modal analysis corresponded closely with mean lengths of fish based on otolith annuli counts, supporting the hypothesis that the number of annuli corresponds to the age of the fish. The otolith length was linearly correlated with the fish length. An opaque annulus was deposited over a short period, primarily August. The study indicated that 75-100% of the annual growth was achieved during the June-September period. Maximum life span was estimated to be 12 years. The parameters of the von Bertalanffy growth equation were: K = 0.24 year", Lao = 188.2 mm, to = -1.14 year. The growth of the American sand lance in the study area was slower than for the same species and for A. dubius in more southern areas. The length-weight relationship indicated that the growth in weight was isometric and identical for both sexes. Length-weight relationship, gonadosomatic index and the observation of maturity stages suggested that reproduction takes place shortly after September. All the fishes were matured at 20 months of age. Males mature at a smaller size «85 mm) than the females (90 mm).

show abstract

Estimation of von Bertalanffy growth parameters: A versatile linear regression approach

Cited by 16 publications

References 0 publications

Yield, growth and mortality rate of the Thai river sprat, Clupeichthys aesarnensis, in Sirinthorn Reservoir, Thailand

Yield, growth and mortality rate of the Thai river sprat, Clupeichthys aesarnensis, in Sirinthorn Reservoir, Thailand

Admitting ageing error when fitting growth curves: an example using the von Bertalanffy growth function with random effects

Growth and Sexual Maturation of the American Sand Lance (Ammodytes americanus Dekay) off the North Shore of the Gulf of St. Lawrence

Contact Info

Product

Resources

About