PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function.
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function.
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PhenoSpace：一个在植物形态和功能的全球谱的表型空间中可视化性状数据的闪亮应用程序。
DOI：
10.1002/ece3.6928
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发表时间：
2021-03
影响因子：
2.6
通讯作者：
Garnier E
中科院分区：
文献类型：
--
作者：
Segrestin J;Sartori K;Navas ML;Kattge J;Díaz S;Garnier E
最近对世界范围内维管植物物种的六个主要性状的变异分析表明，四分之三的性状变异是通过植物形态和功能的二维全球谱（以下简称“全球谱”）捕获的。我们开发了表型空间应用程序，其目的是可视化和导出任何个体/种群/物种在全球谱表型空间中的位置。表型空间是一个闪亮的应用程序，帮助用户操作和可视化数据有关的植物形态和功能的全球光谱。可以通过以下网址免费访问：https://shiny.cefe.cnrs.fr/PhenoSpace/。PhenoSpace有三个主要功能。首先，它允许用户使用性状和生长形式的不同组合来可视化全球谱的表型空间。其次，来自任何新的用户定义数据集的性状数据都可以投射到全球谱的表型空间，前提是六个性状中至少有两个是可用的。最后，生成的图形和导入数据在PCA轴上的加载可以下载，允许用户进行进一步的分析。表型空间实现了在全球光谱的表型空间中定位植物的实际目标，使得在全球背景下比较任何组织水平的性状变异成为可能。这是比较植物生态学的一个主要目的，将特定的个体、种群或物种置于更广泛的背景下，利用植物设计和功能的相关指标，促进对不同大陆和环境的结果进行比较和综合。表型空间是一个闪亮的应用程序，它实现了在植物形态和功能的全球光谱的表型空间中定位植物的实际目标，使得在全球背景下比较任何组织水平的性状变异成为可能。
A recent analysis of variation in six major traits conducted on a large worldwide sample of vascular plant species showed that three‐quarters of trait variation was captured by a two‐dimensional global spectrum of plant form and function (“global spectrum” hereafter). We developed the PhenoSpace application, whose aim is to visualize and export the position of any individual/population/species in the phenotypic space of the global spectrum. PhenoSpace is a Shiny application that helps users to manipulate and visualize data pertaining to the global spectrum of plant form and function. It is freely accessible at the following URL: https://shiny.cefe.cnrs.fr/PhenoSpace/. PhenoSpace has three main functionalities. First, it allows users to visualize the phenotypic space of the global spectrum using different combinations of traits and growth forms. Second, trait data from any new user‐defined dataset can be projected onto the phenotypic space of the global spectrum, provided that at least two of the six traits are available. Finally, figures produced and loadings of the imported data on the PCA axes can be downloaded, allowing users to conduct further analyses. PhenoSpace fulfills the practical goal of positioning plants in the phenotypic space of the global spectrum, making it possible to compare trait variation at any level of organization against the worldwide background. This serves a major aim of comparative plant ecology, which is to put specific sets of individuals, populations or species into a broader context, facilitating comparison and synthesis of results across different continents and environments using relevant indicators of plant design and function. PhenoSpace is a shiny application that fulfills the practical goal of positioning plants in the phenotypic space of the global spectrum of plant form and function, making it possible to compare trait variation at any level of organization against the worldwide background.
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影响因子：
3.4
作者：
Violle, Cyrille;Navas, Marie-Laure;Garnier, Eric
通讯作者：
Garnier, Eric
影响因子：
64.8
作者：
Wright, IJ;Reich, PB;Villar, R
通讯作者：
Villar, R
影响因子：
64.8
作者：
Diaz, Sandra;Kattge, Jens;Gorne, Lucas D.
通讯作者：
Gorne, Lucas D.
影响因子：
3.9
作者：
Navas, M. -L.;Roumet, C.;Garnier, E.
通讯作者：
Garnier, E.
影响因子：
5.2
作者：
Pierce, Simon;Negreiros, Daniel;Tampucci, Duccio
通讯作者：
Tampucci, Duccio