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Growth Modeling of the Sharpnose Shark (Carcharhinus macloti) in the Persian Gulf and Gulf of Oman (Hormozgan Province, Iran)
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Hasn Sahraei   , Mohammad Hersij , Hadi Raeisi * , Mohammas Gholizadeh , Zia Kordjazz , Hiroyuki Matsuda |
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Abstract: (53 Views) |
this research aimed to evaluate and compare several mathematical models for describing the growth trajectory of the sharpnose shark (Carcharhinus macloti) within the coastal waters of Hormozgan Province, situated in the northwestern Persian Gulf and northeastern Gulf of Oman, between 2019 and 2022. A total of 265 individuals, including 156 females and 109 males, were sampled for morphometric measurements and age estimation through vertebral band counts. Five growth models—second-degree polynomial, von Bertalanffy, Gompertz, logistic, and Schnute—were fitted using Python programming tools in a Jupyter environment.For females, logistic, Gompertz, and Schnute models provided the best fit according to the Bayesian Information Criterion (BIC), while the von Bertalanffy model failed to accurately represent growth in either sex. Although the polynomial model demonstrated statistical fit, its biological interpretability remains limited. Among males, the polynomial model showed the best numerical fit, followed closely by Gompertz and logistic models. The estimated asymptotic length (L∞) and growth rate (K) for females were 106.11 cm and 0.34 year⁻¹, respectively, with an inflection point at 1.7 years. In males, these values were 103.9 cm, 0.40 year⁻¹, and -0.46 (t₀).Overall, the study emphasizes the necessity of model selection based on empirical data quality and biological plausibility, rather than defaulting to traditional models.
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| Keywords: Carcharhinus macloti, growth dynamics, statistical modeling, Gompertz model, non-linear regression, Persian Gulf |
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Type of Study: Applicable |
Subject:
Special
Received: 2025/06/2 | Accepted: 2025/09/16 | Published: 2026/01/6
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