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首页> 外文期刊>Wildlife Biology >What determines the success of the species identification? The identification of 10 deer (Cervidae) species in China based on multiple parameters of hair morphology
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What determines the success of the species identification? The identification of 10 deer (Cervidae) species in China based on multiple parameters of hair morphology

机译:是什么决定了物种鉴定的成功?基于毛发形态的多种参数鉴定中国10种鹿(Cervidae)物种

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摘要

Hair morphological structure is widely utilized for species identification based on the differentiation of scales and medullar pattern of mammal hairs. To determine what may influence the accuracy of identification using hair morphology, we measured and calculated 11 parameters of hair morphometry of 10 deer species in China. Our results suggested that the morphological parameters of deer hairs have extensive overlap within Cervidae species and we obtained a correct discriminant rate of 90.1% for 10 deer species. For the five sympatric deer species in the northeastern forests of China, 94.2% of hairs can be identified correctly, with a correct discriminant rate of 89.7% and 83.9% when the hair tip or root was absent, respectively. When both hair tip and root were absent, we obtained a correct discriminant rate of 73.6%. In addition, we obtained a correct discriminant rate of 97.9% for five sympatric deer species using a blind test approach to remove observer bias. Hair morphological characteristics are similar within the family or genus because of their close genetic relationships. Furthermore, species with similar living habitat conditions may have similar hair morphological structure. These factors influence discriminant capacity, and we evidently cannot identify them more accurately when using only one morphological parameter of hair. While understanding the above, our quantitative multi-parameter morphometric analyses successfully identified the hairs of deer, and likely have significant applications concerning further mammal species.
机译:基于哺乳动物毛发的鳞片和髓质模式的分化,毛发形态结构广泛用于物种鉴定。为了确定使用毛发形态来影响鉴定的准确性,我们测量和计算了中国10次鹿种毛体形态学的11个参数。我们的研究结果表明,鹿毛的形态参数在CervIDAE物种中具有广泛的重叠,我们获得了10个鹿种类的正确判别率为90.1%。对于中国东北森林的五种分组鹿种类,94.2%的毛发可以正确鉴定,当不存在毛发尖端或根部时,正确的判别率为89.7%和83.9%。当毛发尖端和根部都没有,我们获得了73.6%的正确判别率。此外,我们使用盲试验方法获得了五种合并鹿物种的正确判别率为97.9%,以消除观察者偏置。由于其密切的遗传关系,毛发形态特征在家庭或属中类似。此外,具有类似生活栖息地条件的物种可能具有类似的毛发形态结构。这些因素影响判别能力,并且当仅使用一种头发的形貌参数时,我们显然无法更准确地识别它们。在理解上述情况下,我们的定量多参数形态学分析成功地确定了鹿的毛发,并且可能有关于其他哺乳动物物种的重要应用。

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