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PCA and DFA as multivariate tools to resolve ambiguous species relationships in museum collections
Proceedings of the Biological Society of Washington ( IF 0.5 ) Pub Date : 2018-01-01 , DOI: 10.2988/17-00020
Kristy L. Tuttle 1
Affiliation  

Abstract Taxonomic relationships in genus Berylmys (B. bowersi, B. mackenziei, B. manipulus, B. berdmorei) have traditionally been ambiguous and made difficult by their geographically disjunct and scattered populations. Several specimens held in museum collections are still of unknown or disputed species assignations. Nor have cranial characters in this genus been tested for significance in variance or for usefulness in separating species. Appropriate species identifications are important for any museum-based study of phylogeny, phylogeography, population biology, functional morphology, or conservation. This study tested diagnostic characters and species assignments on one-hundred two specimens of Berylmys housed in American Museum of Natural History (AMNH), Smithsonian Museum of Natural History (NMNH), and Field Museum of Natural History (FMNH) collections. Discriminant function (DFA), principal components (PCA), and linear regression were used to analyze sixteen morphometric measurements. DFA correctly assigned >90% of specimens to their predefined species group. Length of palate (PL) and auditory bulla (LAB), length (RL) and depth of rostrum (RD), and breadth of incisive foramina (BIF) were the best discriminators among species. Six specimens of B. bowersi were re-classified as B. mackenziei, and two B. mackenziei were re-classifed as B. bowersi. One specimen of B. bowersi, of unknown locality, is indicative of Malaysian affinity under DFA.

中文翻译:

PCA 和 DFA 作为解决博物馆藏品中模糊物种关系的多元工具

摘要 Berylmys 属(B. bowersi、B. mackenziei、B. manipulus、B. berdmorei)的分类关系历来是不明确的,并且因其地理上分离和分散的种群而变得困难。博物馆藏品中的一些标本仍属于未知或有争议的物种归属。也没有测试该属的颅骨特征的变异显着性或分离物种的有用性。适当的物种鉴定对于任何基于博物馆的系统发育、系统地理学、种群生物学、功能形态学或保护的研究都很重要。这项研究测试了美国自然历史博物馆 (AMNH)、史密森自然历史博物馆 (NMNH) 中的一百两个 Berylmys 标本的诊断特征和物种分配。和菲尔德自然历史博物馆 (FMNH) 的藏品。判别函数 (DFA)、主成分 (PCA) 和线性回归用于分析 16 种形态测量测量值。DFA 将 > 90% 的标本正确分配到其预定义的物种组。上颚(PL)和听泡(LAB)的长度、长度(RL)和讲台的深度(RD)以及切齿孔的宽度(BIF)是物种间最好的鉴别器。B. bowersi 的六个标本被重新分类为 B. mackenziei,两个 B. mackenziei 被重新分类为 B. bowersi。一个未知地点的 B. bowersi 标本表明马来西亚在 DFA 下的亲和力。90% 的标本属于其预定义的物种组。上颚(PL)和听泡(LAB)的长度、长度(RL)和讲台的深度(RD)以及切齿孔的宽度(BIF)是物种间最好的鉴别器。B. bowersi 的六个标本被重新分类为 B. mackenziei,两个 B. mackenziei 被重新分类为 B. bowersi。一个未知地点的 B. bowersi 标本表明马来西亚在 DFA 下的亲和力。90% 的标本属于其预定义的物种组。上颚(PL)和听泡(LAB)的长度、长度(RL)和讲台的深度(RD)以及切齿孔的宽度(BIF)是物种间最好的鉴别器。B. bowersi 的六个标本被重新分类为 B. mackenziei,两个 B. mackenziei 被重新分类为 B. bowersi。一个未知地点的 B. bowersi 标本表明马来西亚在 DFA 下的亲和力。
更新日期:2018-01-01
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