Levy processes and stochastic von Bertalanffy models of growth, with application to fish population analysis

JOURNAL OF THEORETICAL BIOLOGY

卷:258

Article

Russo, Tommaso¹  Baldi, Paolo²  Parisi, Antonio³  Magnifico, Giuseppe⁴  Mariani, Stefano⁵  Cataudella, Stefano¹ 

[1] Univ Roma Tor Vergata, Dipartimento Biol, Lab Ecol Sperimentale & Acquacoltura, I-00173 Rome, Italy

[2] Univ Roma Tor Vergata, Dipartimento Matemat, I-00173 Rome, Italy

[3] Univ Roma Tor Vergata, Fac Econ, Dipartimento Studi Economicofinanziari & Metodi Q, I-00173 Rome, Italy

[4] CNR, Rome, Italy

[5] Univ Coll Dublin, Sch Biol & Environm Sci, Dublin, Ireland

关键词: Individual-based models;    Subordinators;    Fish growth;    Clupea harengus;    Fisheries;   

DOI  :  10.1016/j.jtbi.2009.01.033

来源: Elsevier

【 摘 要 】

The study of animal growth is a longstanding crucial topic of theoretical biology. In this paper we introduce a new class of stochastic growth models that enjoy two crucial properties: the growth path of an individual is monotonically increasing and the mean length at time t follows the classic von Bertalanffy model. Besides the theoretical development, the models are also tested against a large set of length-at-age data collected on Atlantic herring (Clupea harengus): the mean lengths and variances of the cohorts were directly estimated by least squares. The results show that the use of subordinators can lead to models enjoying interesting properties, in particular able to catch some specific features often observed in fish growth data. The use of subordinators seems to allow for an increased fidelity in the description of fish growth, whilst still conforming to the general parameters of the traditional von Bertalanffy equation. (c) 2009 Elsevier Ltd. All rights reserved.

【 授权许可】

Free