Age-dependent Parameters of the von Bertalanffy, 1938 Growth Model: The Case of Sardinella aurita (Valenciennes, 1847) along the Central Algerian Coast (Southeastern Mediterranean Sea) Awaiting Galley Proofs - In Production

Ryma Azaoui (1) , Mohamed Toumi (2) , Rachid Amara (3)
(1) University of Algiers 1, Faculty of Sciences, Department of Life Sciences, Laboratory of Living Resources of Economic Interest in Algeria (REVIECO), 2 Didouche Mourad Street, Algiers , Algeria
(2) University of Algiers 1, Faculty of Sciences, Department of Life Sciences, Laboratory of Living Resources of Economic Interest in Algeria (REVIECO), 2 Didouche Mourad Street, Algiers , Algeria
(3) University of the Littoral Opal Coast, Laboratory of Oceanology and Geosciences UMR 8187 CNRS, 28 Foch Avenue, Wimereux , France

Abstract

Background: Small pelagic teleosts, such as the round sardinella (Sardinella aurita), play a pivotal role in maintaining marine ecosystem architecture and reinforcing regional food security. However, the long-term sustainability of these stocks is increasingly compromised by synergistic pressures from overexploitation and fluctuating environmental factors.


Aims: This study aimed to introduce a modified growth model for short-lived pelagic fish, incorporating age-related variability. The objective was to refine biomass estimations and optimize stock assessment protocols.


Material and Methods: Biological sampling was conducted monthly from January to December 2023 along the central Algerian coast, yielding a total of 1,128 individuals. Two distinct growth formulations were evaluated: the conventional von Bertalanffy Growth Function (VBGF) assuming a constant growth coefficient K, and an age-dependent approach wherein parameter values (Kn, L∞n) were resolved independently for each identified age cohort.


Results: Comparative analysis revealed two distinct growth scenarios. The classical VBGF scenario (K), characterized by slow growth (K = 0.31 year-1, L∞ = 30.90 cm), projected a maximum lifespan (Tmax) of 10 years of 10 years. Conversely, the age-structured model (Kn) exhibited rapid initial growth (K1 = 2.27 year-1), that progressively decelerated to 0.46 year-1 by age five, projecting a maximum lifespan (Tmax) of 7 years — although only five age classes were resolved from the sampled population due to intense fishing pressure — and asymptotic lengths (L∞n) ranging from 9.35 cm at age one to 25.10 cm at age five. The growth performance index (Φ′) varied from 2.29 to 2.50 across age classes, with a coefficient of variation (CV) of 4%. Total mortality (Z) was estimated at 3.97 year-1. Under the age-structured scenario, natural mortality (M) decreased with age, from 1.10 year-1 at age one to 0.43 year-1 at age five, contrasting with a static baseline M of 0.39 year-1 across all cohorts— while fishing mortality (F) increased with age, from 2.87 year-1 at age one to 3.54 year-1 at age five, compared to a constant F of 3.58 year-1.


Conclusions: The age-dependent model (Kn) provides a more robust and biologically realistic depiction of S. aurita growth life-history dynamics, supporting sustainable management practices that account for rapid early growth and reproductive energy allocation. This data-parsimonious mathematical framework offers a highly practical alternative for stock assessments in data-limited fisheries where complex bioenergetic modeling is logistically infeasible.


Keywords: Pelagic Species, Age, Growth Coefficient, Bioenergetics, Food Safety, Mediterranean Sea.

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Authors

Ryma Azaoui
r.azaoui@univ-alger.dz (Primary Contact)
Mohamed Toumi
Rachid Amara
Azaoui, R., Toumi, M., & Amara, R. (2026). Age-dependent Parameters of the von Bertalanffy, 1938 Growth Model: The Case of Sardinella aurita (Valenciennes, 1847) along the Central Algerian Coast (Southeastern Mediterranean Sea): Awaiting Galley Proofs - In Production. The North African Journal of Food and Nutrition Research, 10(21). Retrieved from https://www.najfnr.com/home/article/view/774

Article Details

Received 2025-07-13
Accepted 2026-06-03
Published 2026-06-16