Reading Yule in light of the history and present of macroevolution.

IF 4.7 2区 生物学 Q1 BIOLOGY Philosophical Transactions of the Royal Society B: Biological Sciences Pub Date : 2025-02-13 Epub Date: 2025-02-20 DOI:10.1098/rstb.2023.0299
Matt Pennell, Ailene MacPherson
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Abstract

Yule's 1925 paper introducing the branching model that bears his name was a landmark contribution to the biodiversity sciences. In his paper, Yule developed stochastic models to explain the observed distribution of species across genera and to test hypotheses about the relationship between clade age, diversity and geographic range. Here, we discuss the intellectual context in which Yule produced this work, highlight Yule's key mathematical and conceptual contributions using both his and more modern derivations and critically examine some of the assumptions of his work through a modern lens. We then document the strange trajectory of his work through the history of macroevolutionary thought and discuss how the fundamental challenges he grappled with-such as defining higher taxa, linking microevolutionary population dynamics to macroevolutionary rates, and accounting for inconsistent taxonomic practices-remain with us a century later.This article is part of the theme issue '"A mathematical theory of evolution": phylogenetic models dating back 100 years'.

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从宏观进化论的历史和现状来解读圣诞。
尤尔在1925年发表的论文介绍了以他的名字命名的分支模型,这是对生物多样性科学的一个里程碑式的贡献。在他的论文中,Yule开发了随机模型来解释观察到的物种跨属分布,并检验了关于进化枝年龄、多样性和地理范围之间关系的假设。在这里,我们讨论尤尔产生这项工作的知识背景,突出尤尔的关键数学和概念贡献,使用他和更现代的推导,并通过现代的镜头批判性地检查他的工作中的一些假设。然后,我们通过宏观进化思想的历史记录了他工作的奇怪轨迹,并讨论了他所应对的基本挑战,例如定义高级分类群,将微观进化种群动态与宏观进化速率联系起来,以及解释不一致的分类实践,这些挑战如何在一个世纪后仍然存在。这篇文章是主题“进化的数学理论”的一部分:追溯到100年前的系统发育模型。
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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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