Optimal strategies for sampling functional traits in species-rich forests

Autores
Paine, C. E. Timothy; Baraloto, Christopher; Diaz, Sandra Myrna
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
1. Functional traits provide insight into a variety of ecological questions, yet theoptimal sampling method to estimate the community-level distribution of plantfunctional trait values remains a subject of debate, especially in species-rich forests.2. We present a simulation analysis of the trait distribution of a set of nine completelysampled permanent plots in the lowland rain forests of French Guiana.3. Increased sampling intensity consistently improved accuracy in estimatingcommunity-weighted means and variances of functional trait values, whereas therewas substantial variation among functional traits, and minor differences amongsampling strategies.4. Thus, investment in intensified sampling yields a greater improvement in theaccuracy of estimation than does an equivalent investment in sampling designcomplication.5. Notably, ?taxon-free? strategies frequently had greater accuracy than did abundancebasedstrategies, which had the additional cost of requiring botanical surveys.6. We conclude that there is no substitute for extensive field sampling to accuratelycharacterize the distribution of functional trait values in species-rich forests.
Fil: Paine, C. E. Timothy. University of Stirling. Biological and Environmental Sciences; Reino Unido
Fil: Baraloto, Christopher. Florida International University. Department of Biological Sciences. International Center for Tropical Botany; Estados Unidos
Fil: Diaz, Sandra Myrna. 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
Materia
FRENCH GUIANA
FUNCTIONAL TRAITS
PLANT TRAITS
SPECIAL LEAF AREA
WOOD DENSITY
SAMPLING DESIGN
TROPICAL FOREST
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:11336/16400
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/16400
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimal strategies for sampling functional traits in species-rich forestsPaine, C. E. TimothyBaraloto, ChristopherDiaz, Sandra MyrnaFRENCH GUIANAFUNCTIONAL TRAITSPLANT TRAITSSPECIAL LEAF AREAWOOD DENSITYSAMPLING DESIGNTROPICAL FORESThttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/11. Functional traits provide insight into a variety of ecological questions, yet theoptimal sampling method to estimate the community-level distribution of plantfunctional trait values remains a subject of debate, especially in species-rich forests.2. We present a simulation analysis of the trait distribution of a set of nine completelysampled permanent plots in the lowland rain forests of French Guiana.3. Increased sampling intensity consistently improved accuracy in estimatingcommunity-weighted means and variances of functional trait values, whereas therewas substantial variation among functional traits, and minor differences amongsampling strategies.4. Thus, investment in intensified sampling yields a greater improvement in theaccuracy of estimation than does an equivalent investment in sampling designcomplication.5. Notably, ?taxon-free? strategies frequently had greater accuracy than did abundancebasedstrategies, which had the additional cost of requiring botanical surveys.6. We conclude that there is no substitute for extensive field sampling to accuratelycharacterize the distribution of functional trait values in species-rich forests.Fil: Paine, C. E. Timothy. University of Stirling. Biological and Environmental Sciences; Reino UnidoFil: Baraloto, Christopher. Florida International University. Department of Biological Sciences. International Center for Tropical Botany; Estados UnidosFil: Diaz, Sandra Myrna. 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; ArgentinaWiley2015-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/16400Paine, C. E. Timothy; Baraloto, Christopher; Diaz, Sandra Myrna; Optimal strategies for sampling functional traits in species-rich forests; Wiley; Functional Ecology; 29; 10; 3-2015; 1325-13311365-243enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12433/abstractinfo:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2435.12433info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:59:46Zoai:ri.conicet.gov.ar:11336/16400instacron: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:34982025-10-15 14:59:47.195CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal strategies for sampling functional traits in species-rich forests
title Optimal strategies for sampling functional traits in species-rich forests
spellingShingle Optimal strategies for sampling functional traits in species-rich forests
Paine, C. E. Timothy
FRENCH GUIANA
FUNCTIONAL TRAITS
PLANT TRAITS
SPECIAL LEAF AREA
WOOD DENSITY
SAMPLING DESIGN
TROPICAL FOREST
title_short Optimal strategies for sampling functional traits in species-rich forests
title_full Optimal strategies for sampling functional traits in species-rich forests
title_fullStr Optimal strategies for sampling functional traits in species-rich forests
title_full_unstemmed Optimal strategies for sampling functional traits in species-rich forests
title_sort Optimal strategies for sampling functional traits in species-rich forests
dc.creator.none.fl_str_mv Paine, C. E. Timothy
Baraloto, Christopher
Diaz, Sandra Myrna
author Paine, C. E. Timothy
author_facet Paine, C. E. Timothy
Baraloto, Christopher
Diaz, Sandra Myrna
author_role author
author2 Baraloto, Christopher
Diaz, Sandra Myrna
author2_role author
author
dc.subject.none.fl_str_mv FRENCH GUIANA
FUNCTIONAL TRAITS
PLANT TRAITS
SPECIAL LEAF AREA
WOOD DENSITY
SAMPLING DESIGN
TROPICAL FOREST
topic FRENCH GUIANA
FUNCTIONAL TRAITS
PLANT TRAITS
SPECIAL LEAF AREA
WOOD DENSITY
SAMPLING DESIGN
TROPICAL FOREST
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 1. Functional traits provide insight into a variety of ecological questions, yet theoptimal sampling method to estimate the community-level distribution of plantfunctional trait values remains a subject of debate, especially in species-rich forests.2. We present a simulation analysis of the trait distribution of a set of nine completelysampled permanent plots in the lowland rain forests of French Guiana.3. Increased sampling intensity consistently improved accuracy in estimatingcommunity-weighted means and variances of functional trait values, whereas therewas substantial variation among functional traits, and minor differences amongsampling strategies.4. Thus, investment in intensified sampling yields a greater improvement in theaccuracy of estimation than does an equivalent investment in sampling designcomplication.5. Notably, ?taxon-free? strategies frequently had greater accuracy than did abundancebasedstrategies, which had the additional cost of requiring botanical surveys.6. We conclude that there is no substitute for extensive field sampling to accuratelycharacterize the distribution of functional trait values in species-rich forests.
Fil: Paine, C. E. Timothy. University of Stirling. Biological and Environmental Sciences; Reino Unido
Fil: Baraloto, Christopher. Florida International University. Department of Biological Sciences. International Center for Tropical Botany; Estados Unidos
Fil: Diaz, Sandra Myrna. 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
description 1. Functional traits provide insight into a variety of ecological questions, yet theoptimal sampling method to estimate the community-level distribution of plantfunctional trait values remains a subject of debate, especially in species-rich forests.2. We present a simulation analysis of the trait distribution of a set of nine completelysampled permanent plots in the lowland rain forests of French Guiana.3. Increased sampling intensity consistently improved accuracy in estimatingcommunity-weighted means and variances of functional trait values, whereas therewas substantial variation among functional traits, and minor differences amongsampling strategies.4. Thus, investment in intensified sampling yields a greater improvement in theaccuracy of estimation than does an equivalent investment in sampling designcomplication.5. Notably, ?taxon-free? strategies frequently had greater accuracy than did abundancebasedstrategies, which had the additional cost of requiring botanical surveys.6. We conclude that there is no substitute for extensive field sampling to accuratelycharacterize the distribution of functional trait values in species-rich forests.
publishDate 2015
dc.date.none.fl_str_mv 2015-03
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/11336/16400
Paine, C. E. Timothy; Baraloto, Christopher; Diaz, Sandra Myrna; Optimal strategies for sampling functional traits in species-rich forests; Wiley; Functional Ecology; 29; 10; 3-2015; 1325-1331
1365-243
url http://hdl.handle.net/11336/16400
identifier_str_mv Paine, C. E. Timothy; Baraloto, Christopher; Diaz, Sandra Myrna; Optimal strategies for sampling functional traits in species-rich forests; Wiley; Functional Ecology; 29; 10; 3-2015; 1325-1331
1365-243
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12433/abstract
info:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2435.12433
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
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
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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score 13.22299

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