Von Bertalanffy function

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Short description: Growth curve model

The von Bertalanffy growth function (VBGF), or von Bertalanffy curve, is a type of growth curve for a time series and is named after Ludwig von Bertalanffy. It is a special case of the generalised logistic function. The growth curve is used to model mean length from age in animals.[1] The function is commonly applied in ecology to model fish growth[2] and in paleontology to model sclerochronological parameters of shell growth.[3]

The model can be written as the following:

L(a)=L(1exp(k(at0)))

where a is age, k is the growth coefficient, t0 is the theoretical age when size is zero, and L is asymptotic size.[4] It is the solution of the following linear differential equation:

dLda=k(LL)

History

In 1920, August Pütter proposed that growth was the result of a balance between anabolism and catabolism.[5] von Bertalanffy, citing Pütter, borrowed this concept and published its equation first in 1941,[6] and elaborated on it later on.[7] The original equation was under the following form: dWdt=ηWmκWnwith W the weight, η and κ constants of anabolism and catabolism respectively, and m, n constant exponants. Von Bertalanffy gave himself the resulting equation for W as a function of t, assuming that n=1 and m1 :[7]

W=(ηκ(ηκW01m)e(1m)κt)11m

Prior to von Bertalanffy, in 1921, J. A. Murray wrote a similar differential equation,[8] with m=23, according to the then-called "surface law", and n=1, but Murray's article does not appear in von Bertalanffy's sources.

Seasonally-adjusted von Bertalanffy

The seasonally-adjusted von Bertalanffy is an extension of this function that accounts for organism growth that occurs seasonally. It was created by I. F. Somers in 1988.[9]

See also

References

  1. Daniel Pauly; G. R. Morgan (1987). Length-based Methods in Fisheries Research. WorldFish. pp. 299. ISBN 978-971-10-2228-0. https://books.google.com/books?id=R4DC-ALyducC&pg=PA299. 
  2. Food and Agriculture Organization of the United Nations (2005). Management Techniques for Elasmobranch Fisheries. Food & Agriculture Org.. pp. 93. ISBN 978-92-5-105403-1. https://books.google.com/books?id=KT0jXz2AyIsC&pg=PA93. 
  3. Moss, D.K.; Ivany, L.C.; Jones, D.S. (2021). "Fossil bivalves and the sclerochronological reawakening". Paleobiology 47 (4): 551–573. doi:10.1017/pab.2021.16. 
  4. John K. Carlson; Kenneth J. Goldman (5 April 2007). Special Issue: Age and Growth of Chondrichthyan Fishes: New Methods, Techniques and Analysis. Springer Science & Business Media. ISBN 978-1-4020-5570-6. https://books.google.com/books?id=ESUyc2dMrnEC&pg=PA301. 
  5. Pütter, August (1920). "Studien über physiologische Ähnlichkeit VI. Wachstumsähnlichkeiten". Pflüger's Archiv für die Gesamte Physiologie des Menschen und der Tiere 180 (1): 298-340. 
  6. von Bertalanffy, Ludwig (1941). "Untersuchungen uber die Gesetzlichkeit des Wachstums. VII. Stoffwechseltypen und Wachstumstypen". Biologisches Zentralblatt 61: 510-532. 
  7. 7.0 7.1 von Bertalanffy, Ludwig (1957). "Quantitative laws in metabolism and growth". The Quarterly Review of Biology 32 (3): 217-231. http://www.jstor.org/stable/2815257. 
  8. Murray, J Alan (1921). "Normal growth in animals". The Journal of Agricultural Science 11 (3): 258-274. 
  9. Somers, I.F. (1988). "On a seasonally oscillating growth function". Fishbyte 6 (1): 8–11. https://econpapers.repec.org/RePEc:wfi:wfbyte:39518.