scholarly journals Research on Von Bertalanffy model and its application for predicting recoverable reserves and production of oilfield

2021 ◽  
Vol 692 (4) ◽  
pp. 042029
Author(s):  
Feng Liu ◽  
Ahuan Zhou ◽  
Linjun Yu ◽  
Yue Wang ◽  
Fei Yang
Keyword(s):  
Von Bertalanffy ◽  
Von Bertalanffy Model ◽  
Recoverable Reserves

scholarly journals Growth of the tambaqui Colossoma macropomum (Cuvier) (Characiformes: Characidae): which is the best model?

2005 ◽  
Vol 65 (1) ◽  
pp. 129-139 ◽  
Author(s):  
M. A. H Penna ◽  
M. A Villacorta-Corrêa ◽  
T. Walter ◽  
M. Petrere-JR
Keyword(s):  
Growth Model ◽  
Negative Correlation ◽  
The Other ◽  
Data Sources ◽  
Von Bertalanffy ◽  
Data Set ◽  
Colossoma Macropomum ◽  
Von Bertalanffy Model ◽  
Estimated Parameters ◽  
Schnute Model

In order to decide which is the best growth model for the tambaqui Colossoma macropomum Cuvier, 1818, we utilized 249 and 256 length-at-age ring readings in otholiths and scales respectively, for the same sample of individuals. The Schnute model was utilized and it is concluded that the Von Bertalanffy model is the most adequate for these data, because it proved highly stable for the data set, and only slightly sensitive to the initial values of the estimated parameters. The phi' values estimated from five different data sources presented a CV = 4.78%. The numerical discrepancies between these values are of not much concern due to the high negative correlation between k and L<FONT FACE=Symbol>¥</FONT> viz, so that when one of them increases, the other decreases and the final result in phi' remains nearly unchanged.

Age, growth and mortality of the garfish, Belone belone (L. 1761) in the Adriatic Sea

2012 ◽  
Vol 93 (2) ◽  
pp. 365-372 ◽  
Author(s):  
Barbara Zorica ◽  
Vanja Čikeš Keč
Keyword(s):  
Adriatic Sea ◽  
Growth Parameters ◽  
Fork Length ◽  
Mortality Rates ◽  
Von Bertalanffy ◽  
Positive Allometry ◽  
Von Bertalanffy Model ◽  
Total Length ◽  
Belone Belone ◽  
Conservation And Management

A sample of 3393 garfish, Belone belone (Linnaeus, 1761) was captured using a seine net between January 2003 and December 2008, along the eastern Adriatic Sea. The range in total length was 20.8–75.4 cm and in weight was 12.21–639.25 g. Length–length equations for converting size measurements (standard length and fork length to total length (TL)) were linear. In the length–weight relationship, positive allometry was established (b = 3.4818). Age, determined from sagittal otoliths, ranged from 1+ to 8+ years. The estimated von Bertalanffy model growth parameters for garfish were L∞ = 90.3 cm, K = 0.158 year−1, t0 = −0.109. Otolith weight was endorsed as a possible age predictor, as it showed highly exponential correlation with total garfish length and age (Wo = 0.0012 TL2.189; Wo = 0.568t1.486). These findings were used to examine mortality rates and exploitation in order to improve conservation and management of this pelagic species.

scholarly journals Structure and population dynamics of the secondary burrower crayfish Procambarus acanthophorus from a tropical Mexican wetland

2016 ◽  
Vol 94 (7) ◽  
pp. 479-488
Author(s):  
J.A. Viccon-Pale ◽  
P. Ortega ◽  
L. Mendoza-Vargas ◽  
P. Castilla-Hernández ◽  
A. López-Cuevas ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Sex Ratio ◽  
Growth Parameters ◽  
Von Bertalanffy ◽  
Frequency Distributions ◽  
Structure And Dynamics ◽  
Von Bertalanffy Model ◽  
Cephalothorax Length ◽  
Flood Period ◽  
Class Dynamic

Catch size, sex ratio, structure and dynamics, as well as mortality, of a population of the secondary burrower crayfish Procambarus acanthophorus Villalobos, 1948, from tropical wetland La Mixtequilla, Veracruz, Mexico, were examined. Monthly samples were taken from artisanal commercial captures. A total of 2141 individuals were caught. Although the total female:male ratio was 0.86, variation in sex ratios have also been found in monthly catches. Monthly polymodal frequency distributions of cephalothorax length (CL) were analyzed by the Bhattacharya method. Population catches consisted of six CL classes. The CL-class dynamic may show adaptations to the flood period. Growth parameters were estimated using the von Bertalanffy model. For females, K = 0.39 year−1, CL∞ = 57.30 mm, [Formula: see text] = 3.11, and tmax = 6.73 years were found; it is appropriate that for males, K = 0.40 year−1, CL∞ = 59.00 mm, [Formula: see text] = 3.14, and tmax = 6.59 years were found. We also examined whether water temperature influences the catches or sex ratio.

Growth and reproductive parameters of Kalliapseudes schubartii in the estuarine region of the Lagoa dos Patos (southern Brazil)

2003 ◽  
Vol 83 (5) ◽  
pp. 931-935 ◽  
Author(s):  
Duane B. Fonseca ◽  
Fernando D'Incao
Keyword(s):  
Reproductive Activity ◽  
Individual Growth ◽  
Von Bertalanffy ◽  
Reproductive Parameters ◽  
Southern Brazil ◽  
Relative Growth ◽  
Von Bertalanffy Model ◽  
Soft Bottoms ◽  
Estuarine Region ◽  
Growth And Reproduction

Kalliapseudes schubartii (Crustacea: Tanaidacea) is a tube dwelling invertebrate living in estuarine soft bottoms with distribution along the south-east and southern Brazilian and Uruguayan coasts. Individual growth, and reproduction were examined by taking samples for a year in the estuarine region of the Lagoa dos Patos (southern Brazil). The von Bertalanffy model described growth of K. schubartii (K=4.54 y−1, L∞=13.22 mm). Reproductive activity was observed in spring and summer. No relationship was observed between total length of females and brood size. Eggs, embryos, and mancas were often observed in a marsupium. Relative growth analysis showed two levels of allometry in the growth of chelipeds of males.

A von Bertalanffy Growth Model with a Seasonally Varying Coefficient

1978 ◽  
Vol 35 (11) ◽  
pp. 1479-1482 ◽  
Author(s):  
James E. Cloern ◽  
Frederic H. Nichols
Keyword(s):  
Growth Rate ◽  
San Francisco ◽  
Growth Model ◽  
Macoma Balthica ◽  
Body Growth ◽  
Von Bertalanffy ◽  
Simple Modification ◽  
Varying Coefficient ◽  
Von Bertalanffy Model ◽  
Hippoglossoides Elassodon

The von Bertalanffy model of body growth is inappropriate for organisms whose growth is restricted to a seasonal period because it assumes that growth rate is invariant with time. Incorporation of a time-varying coefficient significantly improves the capability of the von Bertalanffy equation to describe changing body size of both the bivalve mollusc Macoma balthica in San Francisco Bay and the flathead sole, Hippoglossoides elassodon, in Washington state. This simple modification of the von Bertalanffy model should offer improved predictions of body growth for a variety of other aquatic animals. Key words: Bertalanffy, growth model, growth rate, Macoma balthica

scholarly journals The multiplicative heteroscedastic Von Bertalanffy model

2012 ◽  
Vol 26 (1) ◽  
pp. 71-81
Author(s):  
Carlos Alberto Ribeiro Diniz ◽  
Francisco Louzada-Neto ◽  
Lia Hanna Martins Morita
Keyword(s):  
Von Bertalanffy ◽  
Von Bertalanffy Model

scholarly journals Growth models of Thermus aquaticus and Thermus scotoductus

2012 ◽  
Vol 60 (5) ◽  
pp. 19-26
Author(s):  
Libor Babák ◽  
P. Šupinová ◽  
R. Burdychová
Keyword(s):  
Experimental Data ◽  
Mathematical Models ◽  
Goodness Of Fit ◽  
Statistical Evaluation ◽  
Microbial Count ◽  
Von Bertalanffy ◽  
Thermus Aquaticus ◽  
Von Bertalanffy Model ◽  
Richards Model ◽  
Verhulst Model

Members of the genusThermusfamily are signifiant producers of secondary metabolites, which are very commonly used in industry. Beside the productivity, it is also important to study the growth curve of each strain. The mathematical models which are commonly used to describe behavior of microbial strains under different physical and chemical conditions can reduce measured data.In this study, the mathematical models which describe only the microbial count were used. For analysis, Verhulst model, von Bertalanffy model and Richards model were chosen.During the cultivation ofThermus aquaticusandThermus scotoductusstrains, optical density (OD) and concentration of microorganisms were measured. The mathematical models were fitted to experimental data. The fitting was made in program MATLAB. The coefficients of models and statistical evaluation of goodness of fit of models were identified from mathematical analyses. Graphs of individual models were plotted with prediction bounds. 95% confidence levels were used to statistical evaluation of goodness of fit of models and prediction bounds.Richards model was evaluted as the most corresponding with experimental data. Similar results were reached using Verhulst model. Von Bertalanffy model was not coresponded with experimental data.

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