A von Bertalanffy Growth Model with a Seasonally Varying Coefficient

Cloern, James E.; Nichols, Frederic H.

doi:10.1139/f78-231

Cited by 88 publications

(54 citation statements)

References 5 publications

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“…The merit of the maximum likelihood method is that it allows the use of any growth curve and, as shown here, any functional form for growth variability. For example, this method may be used to choose between various models for seasonal growth: Pitcher & MacDonald (1973) gave two such models (one of which was used here) and a further one was given by Cloern & Nichols (1978). The key point in the present approach is that growth variability is assumed to depend on the expected growth alone.…”

Section: Discussionmentioning

confidence: 99%

Maximum likelihood estimation of growth and growth variability from tagging data

Francis

1988

New Zealand Journal of Marine and Freshwater Research

134

217

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A maximum likelihood approach is described for the analysis of growth increment data derived from tagging experiments. As well as describing mean growth this approach allows the separate estimation of measurement error and growth variability, and uses mixture theory to provide an objective way of dealing with outliers. The method is illustrated using data for Pacific bonito (Sarda chiliensis) and the growth variability model is compared to other published models. The difference between growth curves derived from tagging and age-length data is emphasised and new parameters are given for the von Bertalanffy curve that have better statistical properties, and represent better the growth information in tagging data, than do the conventional parameters.

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Section: Discussionmentioning

confidence: 99%

Maximum likelihood estimation of growth and growth variability from tagging data

Francis

1988

New Zealand Journal of Marine and Freshwater Research

134

217

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“…Incorporation of the seasonal VBGF (Pitcher and MacDonald, 1973;Cloern and Nichols, 1978;Pauly and Gaschuetz, 1979) would yield a more accurate model with a better determination of harvest time. A full year of growth data is however recommended in order to correctly fit an oscillating seasonal VBGF.…”

Section: Economic Evaluationmentioning

confidence: 99%

Evaluation of different shallow water culture methods for the scallop Nodipecten subnodosus using biologic and economic modeling

et al. 2006

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The desire to develop sustainable small-scale aquaculture on the Baja California peninsula has focused attention toward the native scallop Nodipecten (Lyropecten) subnodosus, a species characterized by rapid growth, large size and high domestic market price. The cool upwelling waters around Bahía Magdalena seem to provide suitable conditions for N. subnodosus culture, yet cheaper, less technically demanding methods of culture are desired to add to the practicality of development for local resource users. Culturing in the shallow 'esteros' (reverse-estuaries) rather than in the central section of the bay may provide such an alternative. Between September 2002 and April 2003, three grow-out culture methods (suspended module, bottom and off-bottom culture) were compared at two different densities (40% and 60% coverage) in terms of scallop growth, mortality and associated costs, in order to create a predictive model of monetary returns. Scallops exhibited retarded growth and increased mortality during the warm, oxygen-poor water conditions of late summer (August-September), which coincided with increased reproductive activity (Gonad Index) and lowered energy reserves (Adductor Muscle Index). Growth performance was best during a period of lower temperature in late December 2002 to early January 2003. Of the six treatments, 40% density off-bottom culture provided the best grow-out conditions in terms of average growth and mortality (K year = 0.51, Z year = 0.29). However, a simulation of a 10-year culture operation accounting for the addition of a new batch of seed each year (100,000 ind.·year − 1 ) shows 60% density off-bottom culture (K year = 0.44, Z year = 0.37) to be the most profitable (net present value = US$28,631, internal rate of return = 27.0%). A 6-year period is predicted before the culture is profitable. The model proved valuable in comparing profitability between culture methods and is relevant as a tool for investment decisions in other culture operations.

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“…All growth equations and length/mass relations were analyzed using an iterative, non-linear, least-squares regression model (the Levenberg-Marquardt method; Press et al 1988) on a MacintoshT\' computer and, where required, using parameters initially seeded from approximations in the literature (Cloern & Nichols 1978, Sager & Gosselck 1986, Clasing et al 1994). Other statisti.cs were computed using the Systat program (Systat 1992) and Sokal & Rohlf (1981).…”

Section: Dtmentioning

confidence: 99%

Larval settlement, post-settlement growth and secondary production of the Florida lancelet (= amphioxus) Branchiostoma floridae

Stokes¹

1996

Mar. Ecol. Prog. Ser.

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A population of Branch~ostoma flondae in Tampa Bay, Flonda, USA was sieved from the substratum frequently (often daily) from June 1992 through September 1994 Body lengths were measured for 54264 luvenlle and adult lancelets The breedlng season lasted each year from early May through early September and newly metamorphosed lancelets settled as luveniles from late May through mid October, dunng this period of the year dlstinct settlements occurred approxmately every 1 to 3 wk Post-settlement growth was followed as changes in modal length on size-frequency histograms Changes in cohort growth over this peliod were compared to several different simple and seasonally oscillating growth models The von Bertalanffy functlon in s m p l e and oscillating forms provided the best estmates of lancelet growth The lancelets grew in summer (almost 0 5 mm d-' in recently settled luveniles), but growth slowed and almost ceased durlng wlnter B flondae can llve at least 2 yr and can reach a maxlmum length of 58 mm The maximal secondary productlon was 61 53 g m-' yrrl (ash-free dry welght) and the productlon to biomass ratio was 11 64 Population densities at the study site ranged from about 100 to 1200 lancelets m '

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A von Bertalanffy Growth Model with a Seasonally Varying Coefficient

Cited by 88 publications

References 5 publications

Maximum likelihood estimation of growth and growth variability from tagging data

Maximum likelihood estimation of growth and growth variability from tagging data

Evaluation of different shallow water culture methods for the scallop Nodipecten subnodosus using biologic and economic modeling

Larval settlement, post-settlement growth and secondary production of the Florida lancelet (= amphioxus) Branchiostoma floridae

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