PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function
- Autores
- Segrestin, Jules; Sartori, Kevin; Navas, Marie-Laure; Kattge, Jens; Díaz, Sandra Myrna; Garnier, Eric
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Segrestin, Jules. Université de Montpellier; Francia
Fil: Sartori, Kevin. Université de Montpellier; Francia
Fil: Navas, Marie-Laure. Université de Montpellier; Francia
Fil: Kattge, Jens. German Centre For Integrative Biodiversity Research Halle-jena-leipzig; Alemania. Max Planck Institute For Biogeochemistry; Alemania
Fil: Díaz, Sandra Myrna. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
Fil: Garnier, Eric. Université de Montpellier; Francia - Materia
-
COMPARATIVE PLANT ECOLOGY
FUNCTIONAL DIMENSIONS
PLANT PHENOTYPES
PLANT TRAITS
TRAIT VARIATION
USER-FRIENDLY APPLICATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/211358
Ver los metadatos del registro completo
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PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and functionSegrestin, JulesSartori, KevinNavas, Marie-LaureKattge, JensDíaz, Sandra MyrnaGarnier, EricCOMPARATIVE PLANT ECOLOGYFUNCTIONAL DIMENSIONSPLANT PHENOTYPESPLANT TRAITSTRAIT VARIATIONUSER-FRIENDLY APPLICATIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1A 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.Fil: Segrestin, Jules. Université de Montpellier; FranciaFil: Sartori, Kevin. Université de Montpellier; FranciaFil: Navas, Marie-Laure. Université de Montpellier; FranciaFil: Kattge, Jens. German Centre For Integrative Biodiversity Research Halle-jena-leipzig; Alemania. Max Planck Institute For Biogeochemistry; AlemaniaFil: Díaz, Sandra Myrna. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; ArgentinaFil: Garnier, Eric. Université de Montpellier; FranciaJohn Wiley and Sons Ltd2021-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/211358Segrestin, Jules; Sartori, Kevin; Navas, Marie-Laure; Kattge, Jens; Díaz, Sandra Myrna; et al.; PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function; John Wiley and Sons Ltd; Ecology and Evolution; 11; 4; 2-2021; 1526-15342045-7758CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.6928info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/ece3.6928info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:27Zoai:ri.conicet.gov.ar:11336/211358instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:37:27.429CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function |
title |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function |
spellingShingle |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function Segrestin, Jules COMPARATIVE PLANT ECOLOGY FUNCTIONAL DIMENSIONS PLANT PHENOTYPES PLANT TRAITS TRAIT VARIATION USER-FRIENDLY APPLICATION |
title_short |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function |
title_full |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function |
title_fullStr |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function |
title_full_unstemmed |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function |
title_sort |
PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function |
dc.creator.none.fl_str_mv |
Segrestin, Jules Sartori, Kevin Navas, Marie-Laure Kattge, Jens Díaz, Sandra Myrna Garnier, Eric |
author |
Segrestin, Jules |
author_facet |
Segrestin, Jules Sartori, Kevin Navas, Marie-Laure Kattge, Jens Díaz, Sandra Myrna Garnier, Eric |
author_role |
author |
author2 |
Sartori, Kevin Navas, Marie-Laure Kattge, Jens Díaz, Sandra Myrna Garnier, Eric |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
COMPARATIVE PLANT ECOLOGY FUNCTIONAL DIMENSIONS PLANT PHENOTYPES PLANT TRAITS TRAIT VARIATION USER-FRIENDLY APPLICATION |
topic |
COMPARATIVE PLANT ECOLOGY FUNCTIONAL DIMENSIONS PLANT PHENOTYPES PLANT TRAITS TRAIT VARIATION USER-FRIENDLY APPLICATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. Fil: Segrestin, Jules. Université de Montpellier; Francia Fil: Sartori, Kevin. Université de Montpellier; Francia Fil: Navas, Marie-Laure. Université de Montpellier; Francia Fil: Kattge, Jens. German Centre For Integrative Biodiversity Research Halle-jena-leipzig; Alemania. Max Planck Institute For Biogeochemistry; Alemania Fil: Díaz, Sandra Myrna. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Garnier, Eric. Université de Montpellier; Francia |
description |
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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/211358 Segrestin, Jules; Sartori, Kevin; Navas, Marie-Laure; Kattge, Jens; Díaz, Sandra Myrna; et al.; PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function; John Wiley and Sons Ltd; Ecology and Evolution; 11; 4; 2-2021; 1526-1534 2045-7758 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/211358 |
identifier_str_mv |
Segrestin, Jules; Sartori, Kevin; Navas, Marie-Laure; Kattge, Jens; Díaz, Sandra Myrna; et al.; PhenoSpace: A Shiny application to visualize trait data in the phenotypic space of the global spectrum of plant form and function; John Wiley and Sons Ltd; Ecology and Evolution; 11; 4; 2-2021; 1526-1534 2045-7758 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.6928 info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/ece3.6928 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
John Wiley and Sons Ltd |
publisher.none.fl_str_mv |
John Wiley and Sons Ltd |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613179961769984 |
score |
13.070432 |