A protocol for reproducible functional diversity analyses

Autores
Palacio, Facundo Xavier; Callaghan, Corey T.; Cardoso, Pedro; Hudgins, Emma J.; Jarzyna, Marta A.; Ottaviani, Gianluigi; Riva, Federico; Graco Roza, Caio; Shirey, Vaughn; Mammola, Stefano
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The widespread use of species traits in basic and applied ecology, conservation and biogeography has led to an exponential increase in functional diversity analyses, with > 10 000 papers published in 2010–2020, and > 1800 papers only in 2021. This interest is reflected in the development of a multitude of theoretical and methodological frameworks for calculating functional diversity, making it challenging to navigate the myriads of options and to report detailed accounts of trait-based analyses. Therefore, the discipline of trait-based ecology would benefit from the existence of a general guideline for standard reporting and good practices for analyses. We devise an eight-step protocol to guide researchers in conducting and reporting functional diversity analyses, with the overarching goal of increasing reproducibility, transparency and comparability across studies. The protocol is based on: 1) identification of a research question; 2) a sampling scheme and a study design; 3–4) assemblage of data matrices; 5) data exploration and preprocessing; 6) functional diversity computation; 7) model fitting, evaluation and interpretation; and 8) data, metadata and code provision. Throughout the protocol, we provide information on how to best select research questions, study designs, trait data, compute functional diversity, interpret results and discuss ways to ensure reproducibility in reporting results. To facilitate the implementation of this template, we further develop an interactive web-based application (stepFD) in the form of a checklist workflow, detailing all the steps of the protocol and allowing the user to produce a final ‘reproducibility report' to upload alongside the published paper. A thorough and transparent reporting of functional diversity analyses ensures that ecologists can incorporate others' findings into meta-analyses, the shared data can be integrated into larger databases for consensus analyses, and available code can be reused by other researchers. All these elements are key to pushing forward this vibrant and fast-growing field of research.
Fil: Palacio, Facundo Xavier. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico Zoología Vertebrados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Callaghan, Corey T.. No especifíca;
Fil: Cardoso, Pedro. University of Helsinki; Finlandia
Fil: Hudgins, Emma J.. Carleton University; Canadá
Fil: Jarzyna, Marta A.. Ohio State University; Estados Unidos
Fil: Ottaviani, Gianluigi. The Czech Academy of Sciences; República Checa
Fil: Riva, Federico. Carleton University; Canadá
Fil: Graco Roza, Caio. University of Helsinki; Finlandia
Fil: Shirey, Vaughn. University Of Georgetown; Estados Unidos
Fil: Mammola, Stefano. University of Helsinki; Finlandia
Materia
BIOLOGICAL DIVERSITY
ECOSYSTEM FUNCTIONING
OPEN SCIENCE
REPLICABILITY
REPRODUCIBILITY
STANDARDISED PROTOCOLS
TRAIT-BASED ECOLOGY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/213902

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network_name_str CONICET Digital (CONICET)
spelling A protocol for reproducible functional diversity analysesPalacio, Facundo XavierCallaghan, Corey T.Cardoso, PedroHudgins, Emma J.Jarzyna, Marta A.Ottaviani, GianluigiRiva, FedericoGraco Roza, CaioShirey, VaughnMammola, StefanoBIOLOGICAL DIVERSITYECOSYSTEM FUNCTIONINGOPEN SCIENCEREPLICABILITYREPRODUCIBILITYSTANDARDISED PROTOCOLSTRAIT-BASED ECOLOGYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The widespread use of species traits in basic and applied ecology, conservation and biogeography has led to an exponential increase in functional diversity analyses, with > 10 000 papers published in 2010–2020, and > 1800 papers only in 2021. This interest is reflected in the development of a multitude of theoretical and methodological frameworks for calculating functional diversity, making it challenging to navigate the myriads of options and to report detailed accounts of trait-based analyses. Therefore, the discipline of trait-based ecology would benefit from the existence of a general guideline for standard reporting and good practices for analyses. We devise an eight-step protocol to guide researchers in conducting and reporting functional diversity analyses, with the overarching goal of increasing reproducibility, transparency and comparability across studies. The protocol is based on: 1) identification of a research question; 2) a sampling scheme and a study design; 3–4) assemblage of data matrices; 5) data exploration and preprocessing; 6) functional diversity computation; 7) model fitting, evaluation and interpretation; and 8) data, metadata and code provision. Throughout the protocol, we provide information on how to best select research questions, study designs, trait data, compute functional diversity, interpret results and discuss ways to ensure reproducibility in reporting results. To facilitate the implementation of this template, we further develop an interactive web-based application (stepFD) in the form of a checklist workflow, detailing all the steps of the protocol and allowing the user to produce a final ‘reproducibility report' to upload alongside the published paper. A thorough and transparent reporting of functional diversity analyses ensures that ecologists can incorporate others' findings into meta-analyses, the shared data can be integrated into larger databases for consensus analyses, and available code can be reused by other researchers. All these elements are key to pushing forward this vibrant and fast-growing field of research.Fil: Palacio, Facundo Xavier. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico Zoología Vertebrados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Callaghan, Corey T.. No especifíca;Fil: Cardoso, Pedro. University of Helsinki; FinlandiaFil: Hudgins, Emma J.. Carleton University; CanadáFil: Jarzyna, Marta A.. Ohio State University; Estados UnidosFil: Ottaviani, Gianluigi. The Czech Academy of Sciences; República ChecaFil: Riva, Federico. Carleton University; CanadáFil: Graco Roza, Caio. University of Helsinki; FinlandiaFil: Shirey, Vaughn. University Of Georgetown; Estados UnidosFil: Mammola, Stefano. University of Helsinki; FinlandiaWiley Blackwell Publishing, Inc2022-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/213902Palacio, Facundo Xavier; Callaghan, Corey T.; Cardoso, Pedro; Hudgins, Emma J.; Jarzyna, Marta A.; et al.; A protocol for reproducible functional diversity analyses; Wiley Blackwell Publishing, Inc; Ecography; 2022; 11; 8-2022; 1-150906-7590CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/ecog.06287info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:17Zoai:ri.conicet.gov.ar:11336/213902instacron: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 10:29:17.534CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A protocol for reproducible functional diversity analyses
title A protocol for reproducible functional diversity analyses
spellingShingle A protocol for reproducible functional diversity analyses
Palacio, Facundo Xavier
BIOLOGICAL DIVERSITY
ECOSYSTEM FUNCTIONING
OPEN SCIENCE
REPLICABILITY
REPRODUCIBILITY
STANDARDISED PROTOCOLS
TRAIT-BASED ECOLOGY
title_short A protocol for reproducible functional diversity analyses
title_full A protocol for reproducible functional diversity analyses
title_fullStr A protocol for reproducible functional diversity analyses
title_full_unstemmed A protocol for reproducible functional diversity analyses
title_sort A protocol for reproducible functional diversity analyses
dc.creator.none.fl_str_mv Palacio, Facundo Xavier
Callaghan, Corey T.
Cardoso, Pedro
Hudgins, Emma J.
Jarzyna, Marta A.
Ottaviani, Gianluigi
Riva, Federico
Graco Roza, Caio
Shirey, Vaughn
Mammola, Stefano
author Palacio, Facundo Xavier
author_facet Palacio, Facundo Xavier
Callaghan, Corey T.
Cardoso, Pedro
Hudgins, Emma J.
Jarzyna, Marta A.
Ottaviani, Gianluigi
Riva, Federico
Graco Roza, Caio
Shirey, Vaughn
Mammola, Stefano
author_role author
author2 Callaghan, Corey T.
Cardoso, Pedro
Hudgins, Emma J.
Jarzyna, Marta A.
Ottaviani, Gianluigi
Riva, Federico
Graco Roza, Caio
Shirey, Vaughn
Mammola, Stefano
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv BIOLOGICAL DIVERSITY
ECOSYSTEM FUNCTIONING
OPEN SCIENCE
REPLICABILITY
REPRODUCIBILITY
STANDARDISED PROTOCOLS
TRAIT-BASED ECOLOGY
topic BIOLOGICAL DIVERSITY
ECOSYSTEM FUNCTIONING
OPEN SCIENCE
REPLICABILITY
REPRODUCIBILITY
STANDARDISED PROTOCOLS
TRAIT-BASED ECOLOGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The widespread use of species traits in basic and applied ecology, conservation and biogeography has led to an exponential increase in functional diversity analyses, with > 10 000 papers published in 2010–2020, and > 1800 papers only in 2021. This interest is reflected in the development of a multitude of theoretical and methodological frameworks for calculating functional diversity, making it challenging to navigate the myriads of options and to report detailed accounts of trait-based analyses. Therefore, the discipline of trait-based ecology would benefit from the existence of a general guideline for standard reporting and good practices for analyses. We devise an eight-step protocol to guide researchers in conducting and reporting functional diversity analyses, with the overarching goal of increasing reproducibility, transparency and comparability across studies. The protocol is based on: 1) identification of a research question; 2) a sampling scheme and a study design; 3–4) assemblage of data matrices; 5) data exploration and preprocessing; 6) functional diversity computation; 7) model fitting, evaluation and interpretation; and 8) data, metadata and code provision. Throughout the protocol, we provide information on how to best select research questions, study designs, trait data, compute functional diversity, interpret results and discuss ways to ensure reproducibility in reporting results. To facilitate the implementation of this template, we further develop an interactive web-based application (stepFD) in the form of a checklist workflow, detailing all the steps of the protocol and allowing the user to produce a final ‘reproducibility report' to upload alongside the published paper. A thorough and transparent reporting of functional diversity analyses ensures that ecologists can incorporate others' findings into meta-analyses, the shared data can be integrated into larger databases for consensus analyses, and available code can be reused by other researchers. All these elements are key to pushing forward this vibrant and fast-growing field of research.
Fil: Palacio, Facundo Xavier. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Departamento Científico Zoología Vertebrados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Callaghan, Corey T.. No especifíca;
Fil: Cardoso, Pedro. University of Helsinki; Finlandia
Fil: Hudgins, Emma J.. Carleton University; Canadá
Fil: Jarzyna, Marta A.. Ohio State University; Estados Unidos
Fil: Ottaviani, Gianluigi. The Czech Academy of Sciences; República Checa
Fil: Riva, Federico. Carleton University; Canadá
Fil: Graco Roza, Caio. University of Helsinki; Finlandia
Fil: Shirey, Vaughn. University Of Georgetown; Estados Unidos
Fil: Mammola, Stefano. University of Helsinki; Finlandia
description The widespread use of species traits in basic and applied ecology, conservation and biogeography has led to an exponential increase in functional diversity analyses, with > 10 000 papers published in 2010–2020, and > 1800 papers only in 2021. This interest is reflected in the development of a multitude of theoretical and methodological frameworks for calculating functional diversity, making it challenging to navigate the myriads of options and to report detailed accounts of trait-based analyses. Therefore, the discipline of trait-based ecology would benefit from the existence of a general guideline for standard reporting and good practices for analyses. We devise an eight-step protocol to guide researchers in conducting and reporting functional diversity analyses, with the overarching goal of increasing reproducibility, transparency and comparability across studies. The protocol is based on: 1) identification of a research question; 2) a sampling scheme and a study design; 3–4) assemblage of data matrices; 5) data exploration and preprocessing; 6) functional diversity computation; 7) model fitting, evaluation and interpretation; and 8) data, metadata and code provision. Throughout the protocol, we provide information on how to best select research questions, study designs, trait data, compute functional diversity, interpret results and discuss ways to ensure reproducibility in reporting results. To facilitate the implementation of this template, we further develop an interactive web-based application (stepFD) in the form of a checklist workflow, detailing all the steps of the protocol and allowing the user to produce a final ‘reproducibility report' to upload alongside the published paper. A thorough and transparent reporting of functional diversity analyses ensures that ecologists can incorporate others' findings into meta-analyses, the shared data can be integrated into larger databases for consensus analyses, and available code can be reused by other researchers. All these elements are key to pushing forward this vibrant and fast-growing field of research.
publishDate 2022
dc.date.none.fl_str_mv 2022-08
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/11336/213902
Palacio, Facundo Xavier; Callaghan, Corey T.; Cardoso, Pedro; Hudgins, Emma J.; Jarzyna, Marta A.; et al.; A protocol for reproducible functional diversity analyses; Wiley Blackwell Publishing, Inc; Ecography; 2022; 11; 8-2022; 1-15
0906-7590
CONICET Digital
CONICET
url http://hdl.handle.net/11336/213902
identifier_str_mv Palacio, Facundo Xavier; Callaghan, Corey T.; Cardoso, Pedro; Hudgins, Emma J.; Jarzyna, Marta A.; et al.; A protocol for reproducible functional diversity analyses; Wiley Blackwell Publishing, Inc; Ecography; 2022; 11; 8-2022; 1-15
0906-7590
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/ecog.06287
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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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