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西南部粗壮希拉毒蜥物种复合体的成员能否通过形态特征加以区分?

Can members of the south-western Gila robusta species complex be distinguished by morphological features?

作者信息

Moran C J, O'Neill M W, Armbruster J W, Gibb A C

机构信息

College of Arts and Sciences, Fairfield University, 1073 N. Benson Rd, Fairfield, CT, 06824, U.S.A.

United States Forest Service Coconino National Forest, 1824 S. Thompson St, Flagstaff, AZ, 86001, U.S.A.

出版信息

J Fish Biol. 2017 Jul;91(1):302-316. doi: 10.1111/jfb.13348. Epub 2017 Jun 6.

Abstract

The goal for this project was to re-examine key morphological characters hypothesized to differentiate Gila intermedia, Gila robusta and Gila nigra and outline methods better suited for making species designations based on morphology. Using a combination of meristic counts, morphological measurements and geometric morphometrics, morphological dissimilarities were quantified among these three putative species. Traditional meristic counts and morphological measurements (i.e. distances between landmarks) were not useful for species identification. Geometric morphometrics, however, identified differences among species, while also suggesting an effect of geographic location on morphological variation. Using canonical variate analysis for the 441 fish sampled in this study, geometric morphometrics accurately predicted true group membership 100% of the time for G. nigra, 97% of the time for G. intermedia and 91% of the time for G. robusta. These results suggest that geometric morphometric analysis is necessary to identify morphological differences among the three species. Geometric morphometric analysis used in this study can be adopted by management officials as a tool to classify unidentified individuals.

摘要

本项目的目标是重新审视那些被认为可用于区分中间吉拉丽鱼、粗壮吉拉丽鱼和黑吉拉丽鱼的关键形态特征,并概述更适合基于形态学进行物种划分的方法。通过结合可数性状计数、形态测量和几何形态测量学,对这三个假定物种之间的形态差异进行了量化。传统的可数性状计数和形态测量(即地标之间的距离)对物种识别并无用处。然而,几何形态测量学不仅识别出了物种之间的差异,还表明地理位置对形态变异有影响。利用本研究中采样的441条鱼进行典型变量分析,几何形态测量学在黑吉拉丽鱼中100%准确预测了真实的群体归属,在中间吉拉丽鱼中97%的时间预测准确,在粗壮吉拉丽鱼中91%的时间预测准确。这些结果表明,几何形态测量分析对于识别这三个物种之间的形态差异是必要的。本研究中使用的几何形态测量分析可被管理人员用作对未识别个体进行分类的工具。

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