Predicting Sex of Mediterranean Shag (Phalacrocorax aristotelis desmarestii) from Morphometric Variables

Pub Date : 2023-11-22 DOI:10.1675/063.046.0110
Carles Tobella, Guillem Arrufat, Joan Grajera, Enric Badosa, Raül Calderón, Josep M. Bas
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Abstract

Abstract. Biometrics have been widely employed to predict sex when clear dimorphism is lacking. In this study, we aimed to assess sexual dimorphism in the Mediterranean Shag (Phalacrocorax aristotelis desmarestii) and provide predictive functions for sex determination based on biometrics. A total of 102 individuals were employed, with 62 individuals used for model construction and 40 for effectiveness testing. Sex determination was accomplished through feather samples via CHD gene amplification for live birds and gonadal inspection for deceased birds. Eleven measurements were taken and analysed: bill depth, bill width, culmen length, bill length to feathers of side, wing length, 3rd primary length, tarsus length, tarsus depth, tarsus width, tail length, and body mass. We employed Generalized Linear Models (GLM) to construct the predictive equations. Sexual dimorphism was evident, with males displaying significantly larger bill depth, tarsus length, and wing length than females. The developed models, based on these variables, achieved accuracies ranging from 89.29% to 97.62% in sexing the birds. Determining the sex of birds enhances insights into behavioural and population dynamics of this vulnerable subspecies.
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从形态测量变量预测地中海长尾雉(Phalacrocorax aristotelis desmarestii)的性别
摘要。生物计量学已被广泛用于在缺乏明显二态性的情况下预测性别。在这项研究中,我们旨在评估地中海长尾雉(Phalacrocorax aristotelis desmarestii)的性别二形性,并提供基于生物计量学的性别鉴定预测功能。研究共使用了 102 只个体,其中 62 只用于构建模型,40 只用于有效性测试。活体鸟类通过 CHD 基因扩增采集羽毛样本,死亡鸟类通过性腺检查采集羽毛样本进行性别鉴定。我们对以下 11 项数据进行了测量和分析:喙深、喙宽、喙长、喙长至两侧羽毛的长度、翼长、第 3 主长、跗长、跗深、跗宽、尾长和体重。我们采用广义线性模型(GLM)构建了预测方程。雄鸟的喙深、跗长和翅长明显大于雌鸟。基于这些变量建立的模型对鸟类性别鉴定的准确率为 89.29% 至 97.62%。确定鸟类的性别有助于深入了解这一脆弱亚种的行为和种群动态。
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