Dissertation Research: Extensions of Landmark-Based Morphometric Methods to Articulated Structures: An Example Using Plethodon

论文研究：基于地标的形态测量方法对铰接结构的扩展：使用 Plethodon 的示例

• 批准号: 9800636
• 负责人: F. James Rohlf
• 金额: $ 0.75万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-05-15 至 2000-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9800636&HistoricalAwards=false
• 关键词: Dissertation; Research; Extensions; Landmark; Based

ROHLF 9800636 Landmark-based geometric morphometrics is an approach to the study of shape of organisms in which one analyzes the Cartesian coordinates of homologous landmarks. They can be applied to two- and three-dimensional coordinates, and allow both a description of within- and between-group variability, and a visualization of the variation in a manner that allows a more meaningful biological interpretation. The proposed research has two main goals. The first is to develop and statistically evaluate methods to analyze landmark data from articulated structures. Three new methods will be developed, and tests based on each will be statistically evaluated through computer simulation studies designed to quantify their type I error rates and relative powers. These simulations will be performed using a variety of artificial data sets with various covariance structures in an attempt to determine whether one method is superior for expected data types, or which method is best suited for particular types of data. The second goal is to apply these techniques to a data set containing landmarks from skulls and mandibles of two species of plethodontid salamanders from sympatric and allopatric localities, to gain understanding of the relationship between trophic ecology and morphological variation in these species.

基于地标的几何形态计量学是研究生物形状的一种方法，其中分析了同源地标的笛卡尔坐标。它们可以应用于二维和三维坐标，并允许描述组内和组间的可变性，并以一种允许更有意义的生物学解释的方式将变化可视化。拟议的研究有两个主要目标。首先是开发和统计评估方法来分析铰接结构的地标数据。将开发三种新方法，并通过计算机模拟研究对基于每种方法的测试进行统计评估，旨在量化它们的第一类错误率和相对威力。这些模拟将使用具有各种协方差结构的各种人工数据集来执行，以试图确定一种方法是否优于预期的数据类型，或者哪种方法最适合特定类型的数据。第二个目标是将这些技术应用于包含来自同域和异域地区的两种多齿蝾螈头骨和下颌骨地标的数据集，以了解这些物种的营养生态和形态变化之间的关系。