期刊
NEW PHYTOLOGIST
卷 207, 期 2, 页码 260-274出版社
WILEY
DOI: 10.1111/nph.13367
关键词
diversification; extinction rate; phylogeny; radiation; speciation rate; vascular plants
资金
- Swiss National Science Foundation
- US National Science Foundation [DEB-1145606, IOS-1256706, IOS-0842800, DEB-1353815]
- Direct For Biological Sciences
- Division Of Integrative Organismal Systems [1256706] Funding Source: National Science Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1145606] Funding Source: National Science Foundation
We review the empirical phylogenetic literature on plant diversification, highlighting challenges in separating the effects of speciation and extinction, in specifying diversification mechanisms, and in making convincing arguments. In recent discussions of context dependence, key opportunities and landscapes, and indirect effects and lag times, we see a distinct shift away from single-point/single-cause key innovation' hypotheses toward more nuanced explanations involving multiple interacting causal agents assembled step-wise through a tree. To help crystalize this emerging perspective we introduce the term synnovation' (a hybrid of synergy' and innovation') for an interacting combination of traits with a particular consequence (key synnovation' in the case of increased diversification rate), and the term confluence' for the sequential coming together of a set of traits (innovations and synnovations), environmental changes, and geographic movements along the branches of a phylogenetic tree. We illustrate these concepts using the radiation of Bromeliaceae. We also highlight the generality of these ideas by considering how rate heterogeneity associated with a confluence relates to the existence of particularly species-poor lineages, or depauperons.' Many challenges are posed by this re-purposed research framework, including difficulties associated with partial taxon sampling, uncertainty in divergence time estimation, and extinction.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据