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Biometric sex discrimination is unreliable when sexual dimorphism varies within and between years: an example in Eurasian Oystercatchers Haematopus ostralegus

机译:当性别二态性在数年之内和数年之间变化时,生物特征识别的性别是不可靠的:以欧亚牡蛎为例

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Molecular sexing of birds has been possible for over a decade, but for practical reasons many studies still use biometric data for sex discrimination. In some species, the sexes are easy to distinguish but sexual dimorphism is often more subtle, requiring the use of statistical analyses of biometric measurements to discriminate sexes. These models are usually parameterized and validated using data from a limited number of sites and years. However, the resulting discriminant functions are often applied to other populations and periods. A crucial, but usually untested, assumption is that sexual dimorphism does not vary in time and space. Here we illustrate the consequences of violation of this assumption in Eurasian Oystercatchers Haematopus ostralegus, a species for which most studies have relied on biometric sexing. Using biometric data from captures of known-sex birds, we show that sexual dimorphism varied substantially in time and even reversed in some months and years. Furthermore, some biometric traits used in sexing changed gradually over time, causing a reduction in sexual dimorphism. We show that the consequences of this variation on sex discrimination in Oystercatchers are subtle and easily overlooked, but can result in inaccurate and strongly male- or female-biased sex-ratio estimates. We recommend that biometric sexing should be avoided in Oystercatchers unless specific calibration for each month, year and area is carried out. This recommendation also applies to other species where biometric traits may depend on environmental conditions. We argue that this condition might apply to many bird species and therefore advise caution when interpreting results based on biometric sex discrimination.
机译:鸟类的分子性别鉴定已经有十多年的历史了,但是出于实际原因,许多研究仍使用生物特征数据进行性别歧视。在某些物种中,性别易于区分,但性二态性通常更微妙,需要使用生物特征测量的统计分析来区分性别。这些模型通常使用有限数量的站点和年份的数据进行参数化和验证。但是,由此产生的判别函数通常会应用于其他人群和时期。一个关键的但通常未经检验的假设是,性二态性在时间和空间上没有变化。在这里,我们说明了违反这一假设的后果,这在大多数研究都依赖于生物特征识别的物种中属于欧亚蛎cat(Haematopus ostralegus)。利用已知性别鸟类捕获的生物特征数据,我们发现性二态性随时间变化很大,甚至在几个月和几年中逆转。此外,一些用于性交的生物特征随着时间的流逝而逐渐变化,从而导致性二态性降低。我们表明,这种变化对牡蛎捕捞者中性别歧视的影响是微妙的,容易被忽视,但是会导致不正确且强烈的男性或女性偏向的性别比估计。我们建议在牡蛎捕捞者中避免进行生物特征识别,除非对每个月,年和地区进行特定的校准。此建议也适用于其他生物特征可能取决于环境条件的物种。我们认为这种情况可能适用于许多鸟类,因此在解释基于生物特征性别歧视的结果时建议谨慎。

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