Does accounting for within-individual trait variation matter for measuring functional diversity?

Autores
Palacio, Facundo Xavier; Fernández, Gustavo Javier; Ordano, Mariano Andrés
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Trait-based approaches to disentangle assembly processes in ecological communities typically rely on average trait values obtained from the literature or databases. Recently, ecologists have shown growing concern in accounting for intraspecific variation in trait-based metrics. Besides intraspecific variation, plants and animals exhibit functional trait variation within the same individual (within-individual variation), which may exceed intraspecific variation and constitute a functional trait itself, influencing ecosystem functioning through individual performance variation. However, the role of within-individual variation in functional diversity (FD) remains unexplored. Here, we used sequential foraging observations of four bird species to quantify the magnitudes of interspecific, intraspecific and within-individual functional trait (foraging item, maneuver and stratum) variation. Then, we estimated functional richness using different hierarchical levels of increasing data resolution: (1) average trait values (based on our own literature search, on a global dataset, on the first observation of each foraging sequence and on complete foraging sequences), (2) average trait values plus intraspecific trait variation, and (3) average trait values plus intraspecific and within-individual trait variation. We also performed a series of simulations accounting for different levels of within-individual trait variation. For the empirical data, both intraspecific and within-individual variation accounted for more than 84% of total variation in functional traits, and for one trait (foraging maneuver) within-individual variation accounted for 84.31%. Although all FD metrics showed significant positive correlations, their magnitude consistently decreased when intraspecific and within-individual variations were taken into account (Pearson's correlations from 0.99 to 0.28). Simulations also showed that not accounting for within-individual variation strikingly underestimated functional richness, even at the lowest levels (<5%) of within-individual variation. Our results reveal that within-individual variation may represent a major source of functional trait variation. Overall, the inclusion of within-individual variation in trait-based approaches would improve our understanding and use of FD estimators and determine to what extent it matters for assembly processes.
Fil: Palacio, Facundo Xavier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Zoología de Vertebrados. Sección Ornitología; Argentina
Fil: Fernández, Gustavo Javier. Universidad Nacional del Comahue. Asentamiento Universidad San Martín de Los Andes; Argentina
Fil: Ordano, Mariano Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina
Materia
BEHAVIORAL VARIABILITY
BIRD FORAGING BEHAVIOR
INTRASPECIFIC VARIATION
TRAIT-BASED APPROACH
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/91523

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spelling Does accounting for within-individual trait variation matter for measuring functional diversity?Palacio, Facundo XavierFernández, Gustavo JavierOrdano, Mariano AndrésBEHAVIORAL VARIABILITYBIRD FORAGING BEHAVIORINTRASPECIFIC VARIATIONTRAIT-BASED APPROACHhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Trait-based approaches to disentangle assembly processes in ecological communities typically rely on average trait values obtained from the literature or databases. Recently, ecologists have shown growing concern in accounting for intraspecific variation in trait-based metrics. Besides intraspecific variation, plants and animals exhibit functional trait variation within the same individual (within-individual variation), which may exceed intraspecific variation and constitute a functional trait itself, influencing ecosystem functioning through individual performance variation. However, the role of within-individual variation in functional diversity (FD) remains unexplored. Here, we used sequential foraging observations of four bird species to quantify the magnitudes of interspecific, intraspecific and within-individual functional trait (foraging item, maneuver and stratum) variation. Then, we estimated functional richness using different hierarchical levels of increasing data resolution: (1) average trait values (based on our own literature search, on a global dataset, on the first observation of each foraging sequence and on complete foraging sequences), (2) average trait values plus intraspecific trait variation, and (3) average trait values plus intraspecific and within-individual trait variation. We also performed a series of simulations accounting for different levels of within-individual trait variation. For the empirical data, both intraspecific and within-individual variation accounted for more than 84% of total variation in functional traits, and for one trait (foraging maneuver) within-individual variation accounted for 84.31%. Although all FD metrics showed significant positive correlations, their magnitude consistently decreased when intraspecific and within-individual variations were taken into account (Pearson's correlations from 0.99 to 0.28). Simulations also showed that not accounting for within-individual variation strikingly underestimated functional richness, even at the lowest levels (<5%) of within-individual variation. Our results reveal that within-individual variation may represent a major source of functional trait variation. Overall, the inclusion of within-individual variation in trait-based approaches would improve our understanding and use of FD estimators and determine to what extent it matters for assembly processes.Fil: Palacio, Facundo Xavier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Zoología de Vertebrados. Sección Ornitología; ArgentinaFil: Fernández, Gustavo Javier. Universidad Nacional del Comahue. Asentamiento Universidad San Martín de Los Andes; ArgentinaFil: Ordano, Mariano Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; ArgentinaElsevier Science2019-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/91523Palacio, Facundo Xavier; Fernández, Gustavo Javier; Ordano, Mariano Andrés; Does accounting for within-individual trait variation matter for measuring functional diversity?; Elsevier Science; Ecological Indicators; 102; 7-2019; 43-501470-160XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1470160X19301293info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2019.02.018info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:44:34Zoai:ri.conicet.gov.ar:11336/91523instacron: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 14:44:35.197CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Does accounting for within-individual trait variation matter for measuring functional diversity?
title Does accounting for within-individual trait variation matter for measuring functional diversity?
spellingShingle Does accounting for within-individual trait variation matter for measuring functional diversity?
Palacio, Facundo Xavier
BEHAVIORAL VARIABILITY
BIRD FORAGING BEHAVIOR
INTRASPECIFIC VARIATION
TRAIT-BASED APPROACH
title_short Does accounting for within-individual trait variation matter for measuring functional diversity?
title_full Does accounting for within-individual trait variation matter for measuring functional diversity?
title_fullStr Does accounting for within-individual trait variation matter for measuring functional diversity?
title_full_unstemmed Does accounting for within-individual trait variation matter for measuring functional diversity?
title_sort Does accounting for within-individual trait variation matter for measuring functional diversity?
dc.creator.none.fl_str_mv Palacio, Facundo Xavier
Fernández, Gustavo Javier
Ordano, Mariano Andrés
author Palacio, Facundo Xavier
author_facet Palacio, Facundo Xavier
Fernández, Gustavo Javier
Ordano, Mariano Andrés
author_role author
author2 Fernández, Gustavo Javier
Ordano, Mariano Andrés
author2_role author
author
dc.subject.none.fl_str_mv BEHAVIORAL VARIABILITY
BIRD FORAGING BEHAVIOR
INTRASPECIFIC VARIATION
TRAIT-BASED APPROACH
topic BEHAVIORAL VARIABILITY
BIRD FORAGING BEHAVIOR
INTRASPECIFIC VARIATION
TRAIT-BASED APPROACH
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Trait-based approaches to disentangle assembly processes in ecological communities typically rely on average trait values obtained from the literature or databases. Recently, ecologists have shown growing concern in accounting for intraspecific variation in trait-based metrics. Besides intraspecific variation, plants and animals exhibit functional trait variation within the same individual (within-individual variation), which may exceed intraspecific variation and constitute a functional trait itself, influencing ecosystem functioning through individual performance variation. However, the role of within-individual variation in functional diversity (FD) remains unexplored. Here, we used sequential foraging observations of four bird species to quantify the magnitudes of interspecific, intraspecific and within-individual functional trait (foraging item, maneuver and stratum) variation. Then, we estimated functional richness using different hierarchical levels of increasing data resolution: (1) average trait values (based on our own literature search, on a global dataset, on the first observation of each foraging sequence and on complete foraging sequences), (2) average trait values plus intraspecific trait variation, and (3) average trait values plus intraspecific and within-individual trait variation. We also performed a series of simulations accounting for different levels of within-individual trait variation. For the empirical data, both intraspecific and within-individual variation accounted for more than 84% of total variation in functional traits, and for one trait (foraging maneuver) within-individual variation accounted for 84.31%. Although all FD metrics showed significant positive correlations, their magnitude consistently decreased when intraspecific and within-individual variations were taken into account (Pearson's correlations from 0.99 to 0.28). Simulations also showed that not accounting for within-individual variation strikingly underestimated functional richness, even at the lowest levels (<5%) of within-individual variation. Our results reveal that within-individual variation may represent a major source of functional trait variation. Overall, the inclusion of within-individual variation in trait-based approaches would improve our understanding and use of FD estimators and determine to what extent it matters for assembly processes.
Fil: Palacio, Facundo Xavier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Zoología de Vertebrados. Sección Ornitología; Argentina
Fil: Fernández, Gustavo Javier. Universidad Nacional del Comahue. Asentamiento Universidad San Martín de Los Andes; Argentina
Fil: Ordano, Mariano Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina
description Trait-based approaches to disentangle assembly processes in ecological communities typically rely on average trait values obtained from the literature or databases. Recently, ecologists have shown growing concern in accounting for intraspecific variation in trait-based metrics. Besides intraspecific variation, plants and animals exhibit functional trait variation within the same individual (within-individual variation), which may exceed intraspecific variation and constitute a functional trait itself, influencing ecosystem functioning through individual performance variation. However, the role of within-individual variation in functional diversity (FD) remains unexplored. Here, we used sequential foraging observations of four bird species to quantify the magnitudes of interspecific, intraspecific and within-individual functional trait (foraging item, maneuver and stratum) variation. Then, we estimated functional richness using different hierarchical levels of increasing data resolution: (1) average trait values (based on our own literature search, on a global dataset, on the first observation of each foraging sequence and on complete foraging sequences), (2) average trait values plus intraspecific trait variation, and (3) average trait values plus intraspecific and within-individual trait variation. We also performed a series of simulations accounting for different levels of within-individual trait variation. For the empirical data, both intraspecific and within-individual variation accounted for more than 84% of total variation in functional traits, and for one trait (foraging maneuver) within-individual variation accounted for 84.31%. Although all FD metrics showed significant positive correlations, their magnitude consistently decreased when intraspecific and within-individual variations were taken into account (Pearson's correlations from 0.99 to 0.28). Simulations also showed that not accounting for within-individual variation strikingly underestimated functional richness, even at the lowest levels (<5%) of within-individual variation. Our results reveal that within-individual variation may represent a major source of functional trait variation. Overall, the inclusion of within-individual variation in trait-based approaches would improve our understanding and use of FD estimators and determine to what extent it matters for assembly processes.
publishDate 2019
dc.date.none.fl_str_mv 2019-07
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/11336/91523
Palacio, Facundo Xavier; Fernández, Gustavo Javier; Ordano, Mariano Andrés; Does accounting for within-individual trait variation matter for measuring functional diversity?; Elsevier Science; Ecological Indicators; 102; 7-2019; 43-50
1470-160X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/91523
identifier_str_mv Palacio, Facundo Xavier; Fernández, Gustavo Javier; Ordano, Mariano Andrés; Does accounting for within-individual trait variation matter for measuring functional diversity?; Elsevier Science; Ecological Indicators; 102; 7-2019; 43-50
1470-160X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1470160X19301293
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2019.02.018
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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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