Doctoral Dissertation Research: Generation and Evaluation of Body Mass Prediction Equations Using Articular Surface Areas of the Primate Tarsus

博士论文研究:利用灵长类跗骨关节表面积生成和评估体重预测方程

基本信息

  • 批准号:
    1540421
  • 负责人:
  • 金额:
    $ 1.64万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-01 至 2017-08-31
  • 项目状态:
    已结题

项目摘要

One of the most fundamental descriptors of a species is its body mass, which is strongly related to life history, diet, mode of locomotion, and many other ecological factors. Despite its centrality to a species' ecology, body mass remains difficult to reconstruct reliably from elements that preserve well in the fossil record, specifically teeth and bones. This project will assess the reliability of body mass prediction from dental and skeletal microCT scan measurements using a large sample of specimens with known body masses. The relationships between these measurements and body mass will be examined and compared to previously published results. This project also provides opportunities for collaboration with fellow graduate students, and training of and collaboration with undergraduates. Training will consist of microCT scanning, digital preparation, measurement protocols, and statistical analyses. MicroCT data collected for this project will be made publicly available using a free online repository, permitting wide access to previously unavailable material. Specimens digitized for this study could readily serve as valuable teaching tools.This project seeks to explore the relationship between body mass and the joint articular surfaces of the tarsus with a focus on a wide range of primate taxa. Tarsal elements will be microCT- or laser-scanned so that joint articular surface areas can be digitally measured. The primary objective is to improve the theoretical foundation for body mass prediction by addressing whether an improved functional understanding of predictor variables (articular surface areas) permits the generation of more reliable body mass prediction equations (BMPEs). This objective will be accomplished by 1) assessing the scaling relationships of different joint articular surface areas relative to body mass in extant taxa, 2) generating novel body mass prediction equations from joint articular surface areas for comparison to previously published BMPEs, and 3) generating novel BMPEs from specimens with associated and longitudinal body mass data for comparison to BMPEs generated from specimens lacking associated body mass data. These analyses will inform two subsequent portions of the study, 1) body mass prediction for a large sample of fossil primates, and 2) a detailed examination of body mass evolution during important stages of primate diversification.
一个物种最基本的描述之一是它的体重,它与生活史、饮食、运动方式和许多其他生态因素密切相关。尽管身体质量在物种生态学中占据中心地位,但它仍然很难根据化石记录中保存完好的元素(特别是牙齿和骨骼)可靠地重建。该项目将使用大量已知体重的标本样本,评估通过牙科和骨骼 microCT 扫描测量来预测体重的可靠性。将检查这些测量值与体重之间的关系,并与之前发布的结果进行比较。该项目还提供与研究生合作以及与本科生培训和合作的机会。培训将包括显微 CT 扫描、数字化准备、测量方案和统计分析。为该项目收集的 MicroCT 数据将通过免费的在线存储库公开提供,从而允许广泛访问以前无法获得的材料。本研究的数字化标本可以很容易地作为有价值的教学工具。该项目旨在探索体重与跗骨关节面之间的关系,重点关注广泛的灵长类动物类群。跗骨元件将进行显微 CT 或激光扫描,以便可以数字化测量关节表面区域。主要目标是通过解决预测变量(关节表面积)的改进功能理解是否允许生成更可靠的体重预测方程(BMPE)来改善体重预测的理论基础。这一目标将通过以下方式实现:1) 评估现有分类单元中不同关节关节表面区域相对于体重的比例关系,2) 从关节关节表面区域生成新的体重预测方程,以便与之前发布的 BMPE 进行比较,3) 生成来自具有相关体重数据和纵向体重数据的样本的新型 BMPE,用于与缺乏相关体重数据的样本生成的 BMPE 进行比较。这些分析将为研究的两个后续部分提供信息,1)对大量化石灵长类动物样本的体重预测,2)对灵长类动物多样化重要阶段体重进化的详细检查。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Evaluating morphometric body mass prediction equations with a juvenile human test sample: accuracy and applicability to small-bodied hominins
用青少年人体测试样本评估形态测量体重预测方程:对小型人类的准确性和适用性
  • DOI:
    10.1016/j.jhevol.2017.03.009
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Walker, Christopher S.;Yapuncich, Gabriel S.;Sridhar, Shilpa;Cameron, Noël;Churchill, Steven E.
  • 通讯作者:
    Churchill, Steven E.
Quantification of the position and depth of the flexor hallucis longus groove in euarchontans, with implications for the evolution of primate positional behavior: YAPUNCICH et al.
真鼠类拇长屈肌沟的位置和深度的量化,对灵长类位置行为的进化具有影响:YAPUNCICH 等人。
Alternative methods for calculating percentage prediction error and their implications for predicting body mass in fossil taxa
计算百分比预测误差的替代方法及其对预测化石类群体重的影响
  • DOI:
    10.1016/j.jhevol.2017.03.001
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Yapuncich, Gabriel S.
  • 通讯作者:
    Yapuncich, Gabriel S.
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Douglas Boyer其他文献

Douglas Boyer的其他文献

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{{ truncateString('Douglas Boyer', 18)}}的其他基金

Doctoral Dissertation Research: The shape of hands and feet and the transition to upright walking
博士论文研究:手脚的形状以及直立行走的过渡
  • 批准号:
    2316552
  • 财政年份:
    2023
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Standard Grant
Building Capacity in MorphoSource through state-of-art, flexible data storage protocols for broader and more sustainable adoption by museums and other mass-data producers.
通过最先进、灵活的数据存储协议建设 MorphoSource 的能力,以便博物馆和其他海量数据生产者更广泛、更可持续地采用。
  • 批准号:
    2311380
  • 财政年份:
    2023
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Continuing Grant
Sustaining MorphoSource 3D data Repository: Supporting a transformation in research and education practices relying on biodiversity and natural history collections
维持 MorphoSource 3D 数据存储库:支持依赖生物多样性和自然历史收藏的研究和教育实践转型
  • 批准号:
    2149257
  • 财政年份:
    2022
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Standard Grant
Collaborative Research: Measuring leaping performance, evaluating its anatomical correlates, and reconsidering the importance of leaping in primate origins and early evolution
合作研究:测量跳跃表现,评估其解剖学相关性,并重新考虑跳跃在灵长类起源和早期进化中的重要性
  • 批准号:
    2020434
  • 财政年份:
    2021
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Standard Grant
COLLABORATIVE PROPOSAL:ABI DEVELOPMENT: AN INTEGRATED PLATFORM FOR RETRIEVAL, VISUALIZATION AND ANALYSIS OF 3D MORPHOLOGY FROM DIGITAL BIOLOGICAL COLLECTIONS
合作提案:ABI 开发:数字生物馆藏 3D 形态检索、可视化和分析的综合平台
  • 批准号:
    1759839
  • 财政年份:
    2018
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research: Encephalic Arterial Canals and their Functional Significance
博士论文研究:脑动脉管及其功能意义
  • 批准号:
    1825129
  • 财政年份:
    2018
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research: Descent Locomotion Behavior in Primates
博士论文研究:灵长类动物的下降运动行为
  • 批准号:
    1751686
  • 财政年份:
    2018
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Standard Grant
ABI Development: Collaborative Research: The first open access digital archive for high fidelity 3D data on morphological phenomes
ABI 开发:协作研究:第一个开放存取数字档案,用于形态学现象的高保真 3D 数据
  • 批准号:
    1661386
  • 财政年份:
    2017
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Continuing Grant
CAREER: Evolution of Morphological Diversity in Primates as revealed by 3D Digital Data, Comprehensive Datasets, and Automated Phenotyping
职业:3D 数字数据、综合数据集和自动表型分析揭示灵长类动物形态多样性的演变
  • 批准号:
    1552848
  • 财政年份:
    2016
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Continuing Grant
Collaborative Research: Reassessing Primate Origins through Digital Investigation of Eocene Fossils from the Bridger Basin, Wyoming
合作研究:通过对怀俄明州布里杰盆地始新世化石的数字调查重新评估灵长类动物起源
  • 批准号:
    1440742
  • 财政年份:
    2014
  • 资助金额:
    $ 1.64万
  • 项目类别:
    Standard Grant

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