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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/211358
Acceder
id CONICETDig_2d067f4c6e980a32717e2769bfaec423
oai_identifier_str oai:ri.conicet.gov.ar:11336/211358
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-22T11:05:36Zoai: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:34982025-10-22 11:05:37.072CONICET 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
_version_ 1846781339061190656
score 12.982451

Publicaciones similares