von Bertalanffy statistics

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von Bertalanffy specifications


Unique identifier OMICS_06493
Name von Bertalanffy
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Maintained Yes


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Publication for von Bertalanffy

von Bertalanffy in publications

PMCID: 5940859
PMID: 29740021
DOI: 10.1038/s41598-018-25403-x

[…] of habitats, including the west coast of us, alaska, and north sea (figure s1). secondly, we linked the fraction of explained variation by fishing (or temperature) to life history traits (including von bertalanffy growth rate (k), length infinity (linf), age at maturation (a50), length at maturation (l50)), as well as long-term mean and variability of fishing and habitat temperature conditions. […]

PMCID: 5933764
PMID: 29723211
DOI: 10.1371/journal.pone.0196092

[…] have declared that no competing interests exist., accurate information on the growth rates of fish is crucial for fisheries stock assessment and management. empirical life history parameters (von bertalanffy growth) are widely fitted to cross-sectional size-at-age data sampled from fish populations. this method often assumes that environmental factors affecting growth remain constant […]

PMCID: 5919015
PMID: 29694381
DOI: 10.1371/journal.pone.0196189

[…] was modeled using harmonic functions. these functions have been applied in fisheries studies assuming symmetrical curves, e.g., individual growth models incorporating a seasonal oscillation into the von bertalanffy growth function [–], reproductive processes such as gonadosomatic condition [–], and egg production associated with seasonal trends []. these functions have also been applied to study […]

PMCID: 5897324
PMID: 29650984
DOI: 10.1038/s41598-018-24047-1

[…] tested sexual differences in growth trajectories by comparing parameters of the fitted growth models in particular instars. we applied three commonly used models, gompertz,, logistic, and von bertalanffy,, to estimate the following growth parameters: the asymptotic size (a), the growth rate (k), the inflection point (l). in the case of von bertalanffy model, the time when body mass […]

PMCID: 5882670
PMID: 29657746
DOI: 10.1098/rsos.171087

[…] [] for r, using the akaike information criterion (aic) as a measure of model fit. we concluded that models had equal explanatory power when they differed by fewer than 2 aic points []., the standard von bertalanffy growth function (vbgf) is 2.1l(t)=l∞(1−e−k(t−t0)), where l∞ is the asymptotic size, k is a coefficient of growth (in time−1) and t0 is the (hypothetical) age at which length is equal […]

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von Bertalanffy institution(s)
Science Institute, University of Iceland, Reykjavik, Iceland

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