Sereno Paul C
Department of Organismal Biology and Anatomy and Committee on Evolutionary Biology, University of Chicago, 1027 E. 57th Street, Chicago, IL 60637, USA.
Cladistics. 2009 Dec;25(6):624-659. doi: 10.1111/j.1096-0031.2009.00265.x. Epub 2009 Aug 4.
Current strategies to compare or synthesize morphology-based cladistic hypotheses do not empower individual cladists to (i) understand the origin, authorship, or structure of character data, (ii) efficiently locate and collate previously published character data, or (iii) effectively compare character data from competing cladistic hypotheses. This paper outlines the requisite terminology, methods and indices to effectively compile and compare morphological character data between competing cladistic hypotheses and to isolate and measure the most important factors behind differing cladistic results-character selection and character-state scoring. When the procedures outlined here are facilitated by appropriate software, morphology-based cladistics may overcome long-recognized limitations in data comparison and synthesis.
当前用于比较或综合基于形态学的分支系统学假设的策略，无法让个体分支系统学家做到：（i）理解性状数据的起源、作者或结构；（ii）有效地查找和整理先前发表的性状数据；或（iii）有效地比较来自相互竞争的分支系统学假设的性状数据。本文概述了必要的术语、方法和指标，以便有效地汇编和比较相互竞争的分支系统学假设之间的形态性状数据，并分离和衡量导致不同分支系统学结果的最重要因素——性状选择和性状状态评分。当这里概述的程序由适当的软件辅助时，基于形态学的分支系统学可能会克服数据比较和综合中长期存在的局限性。
