Predicting taxonomic identity of bird bones using 3D geometric morphometrics

Predicting taxonomic identity of bird bones using 3D geometric morphometrics

论文摘要

<正>Species identification of bones currently relies on relatively few taxonomic specialists that have access to large and well-curated bone collections. I aim to develop a method for identifying species from a single bone in the absence of specialist taxonomy training. 3D shape analyses (i.e. geometric morphometrics) are routinely used to study variation in bone shape among species, primarily to understand the role of environment and other drivers of shape

论文目录

文章来源

类型: 国际会议

作者: Emma Holvast,Daniel B Thomas

来源: The 11th International Symposium of Integrative Zoology(ISIZ) 2019-12-02

年度: 2019

分类: 基础科学

专业: 生物学

单位: School of Natural and Computational Sciences, Massey University

分类号: Q959

DOI: 10.26914/c.cnkihy.2019.004681

页码: 64-65

总页数: 2

文件大小: 622k

下载量: 1

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Predicting taxonomic identity of bird bones using 3D geometric morphometrics
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