利用系统发育和环境数据研究和预测功能特征综合征的框架

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-02-23 DOI:10.1111/2041-210X.14304
Pablo Sanchez-Martinez, David D. Ackerly, Jordi Martínez-Vilalta, Maurizio Mencuccini, Kyle G. Dexter, Todd E. Dawson
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引用次数: 0

摘要

性状并不是孤立进化的,而往往是综合性状综合征的一部分,然而环境效应和进化历史对性状及其相关性的相对贡献并不容易解决。在本研究中,我们建立了一个方法框架,以阐明功能性状综合体的生态进化模式。为此,我们将与系统发育遗传和环境变量(环境系统发育保守性)、仅与系统发育遗传(非归因系统发育保守性)和仅与环境变量(进化易变的环境效应)相关的方差和协方差进行了分离。性状综合征的方差-协方差结构以网络形式显示。然后,我们利用这一框架来指导一种新衍生的估算方法,该方法基于机器学习模型,可预测未取样类群的性状值,同时考虑环境和系统发育信息以及性状协方差。TrEvol 是一个 R 软件包,提供了一套统一的方法来研究和预测多变量性状模式,并提高我们的性状值估算能力。为了说明其用途,我们利用模拟数据以及与水力学和叶片经济光谱相关的物种水平性状,结合干旱指数,证明大多数性状相关性可归因于环境系统发育保守性。这一概念框架可用于研究从不同系统发育深度的性状适应进化到种内性状变异等问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A framework to study and predict functional trait syndromes using phylogenetic and environmental data

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来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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