Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?

Autores
Marques Pires, Mateus; Grech, Marta Gladys; Stenert, Cristina; Maltchik, Leonardo; Epele, Luis Beltran; McLean, Kyle I.; Kneitel, Jamie M.; Bell, Douglas A.; Greig, Hamish S.; Gagne, Chase R.; Batzer, Darold P.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The efficiency of biodiversity assessments and biomonitoring studies is commonly challenged by limitations in taxonomic identification and quantification approaches. In this study, we assessed the effects of different taxonomic and numerical resolutions on a range of community structure metrics in invertebrate compositional data sets from six regions distributed across North and South America. We specifically assessed the degree of similarity in the metrics (richness, equitability, beta diversity, heterogeneity in community composition and congruence) for data sets identified to a coarse resolution (usually family level) and the finest taxonomic resolution practical (usually genus level, sometimes species or morphospecies) and by presence-absence and relative abundance numerical resolutions. Spearman correlations showed highly significant and positive associations between univariate metrics (richness and equitability) calculated for coarse- and finest-resolution datasets. Procrustes analysis detected significant congruence between composition datasets. Higher correlation coefficients were found for datasets with the same numerical resolutions regardless of the taxonomic level (about 90%), while the correlations for comparisons across numerical resolutions were consistently lower. Our findings indicate that family-level resolution can be used as a surrogate of finer taxonomic resolutions to calculate a range of biodiversity metrics commonly used to describe invertebrate community structure patterns in New World freshwater wetlands without significant loss of information. However, conclusions on biodiversity patterns derived from datasets with different numerical resolutions should be critically considered in studies on wetland invertebrates.
Fil: Marques Pires, Mateus. Universidad de Vale do Rio dos Sinos; Brasil
Fil: Grech, Marta Gladys. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina
Fil: Stenert, Cristina. Universidad de Vale do Rio dos Sinos; Brasil
Fil: Maltchik, Leonardo. Universidad de Vale do Rio dos Sinos; Brasil
Fil: Epele, Luis Beltran. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina
Fil: McLean, Kyle I.. United States Geological Survey; Estados Unidos
Fil: Kneitel, Jamie M.. California State University; Estados Unidos
Fil: Bell, Douglas A.. East Bay Regional Park District; Estados Unidos
Fil: Greig, Hamish S.. The University Of Maine (the University Of Maine);
Fil: Gagne, Chase R.. The University Of Maine (the University Of Maine);
Fil: Batzer, Darold P.. University of Georgia; Estados Unidos
Materia
ALPHA DIVERSITY
BETA DIVERSITY
CONGRUENCE
FRESHWATER PONDS
HIGHER-TAXON APPROACH
TAXONOMIC SURROGACY
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:11336/136052
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/136052
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?Marques Pires, MateusGrech, Marta GladysStenert, CristinaMaltchik, LeonardoEpele, Luis BeltranMcLean, Kyle I.Kneitel, Jamie M.Bell, Douglas A.Greig, Hamish S.Gagne, Chase R.Batzer, Darold P.ALPHA DIVERSITYBETA DIVERSITYCONGRUENCEFRESHWATER PONDSHIGHER-TAXON APPROACHTAXONOMIC SURROGACYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The efficiency of biodiversity assessments and biomonitoring studies is commonly challenged by limitations in taxonomic identification and quantification approaches. In this study, we assessed the effects of different taxonomic and numerical resolutions on a range of community structure metrics in invertebrate compositional data sets from six regions distributed across North and South America. We specifically assessed the degree of similarity in the metrics (richness, equitability, beta diversity, heterogeneity in community composition and congruence) for data sets identified to a coarse resolution (usually family level) and the finest taxonomic resolution practical (usually genus level, sometimes species or morphospecies) and by presence-absence and relative abundance numerical resolutions. Spearman correlations showed highly significant and positive associations between univariate metrics (richness and equitability) calculated for coarse- and finest-resolution datasets. Procrustes analysis detected significant congruence between composition datasets. Higher correlation coefficients were found for datasets with the same numerical resolutions regardless of the taxonomic level (about 90%), while the correlations for comparisons across numerical resolutions were consistently lower. Our findings indicate that family-level resolution can be used as a surrogate of finer taxonomic resolutions to calculate a range of biodiversity metrics commonly used to describe invertebrate community structure patterns in New World freshwater wetlands without significant loss of information. However, conclusions on biodiversity patterns derived from datasets with different numerical resolutions should be critically considered in studies on wetland invertebrates.Fil: Marques Pires, Mateus. Universidad de Vale do Rio dos Sinos; BrasilFil: Grech, Marta Gladys. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; ArgentinaFil: Stenert, Cristina. Universidad de Vale do Rio dos Sinos; BrasilFil: Maltchik, Leonardo. Universidad de Vale do Rio dos Sinos; BrasilFil: Epele, Luis Beltran. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; ArgentinaFil: McLean, Kyle I.. United States Geological Survey; Estados UnidosFil: Kneitel, Jamie M.. California State University; Estados UnidosFil: Bell, Douglas A.. East Bay Regional Park District; Estados UnidosFil: Greig, Hamish S.. The University Of Maine (the University Of Maine);Fil: Gagne, Chase R.. The University Of Maine (the University Of Maine);Fil: Batzer, Darold P.. University of Georgia; Estados UnidosElsevier2021-06info: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/11336/136052Marques Pires, Mateus; Grech, Marta Gladys; Stenert, Cristina; Maltchik, Leonardo; Epele, Luis Beltran; et al.; Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?; Elsevier; Ecological Indicators; 125; 6-2021; 1-71470-160XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1470160X21001023info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2021.107437info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:58:29Zoai:ri.conicet.gov.ar:11336/136052instacron: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:34982025-09-03 09:58:29.68CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
title Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
spellingShingle Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
Marques Pires, Mateus
ALPHA DIVERSITY
BETA DIVERSITY
CONGRUENCE
FRESHWATER PONDS
HIGHER-TAXON APPROACH
TAXONOMIC SURROGACY
title_short Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
title_full Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
title_fullStr Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
title_full_unstemmed Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
title_sort Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
dc.creator.none.fl_str_mv Marques Pires, Mateus
Grech, Marta Gladys
Stenert, Cristina
Maltchik, Leonardo
Epele, Luis Beltran
McLean, Kyle I.
Kneitel, Jamie M.
Bell, Douglas A.
Greig, Hamish S.
Gagne, Chase R.
Batzer, Darold P.
author Marques Pires, Mateus
author_facet Marques Pires, Mateus
Grech, Marta Gladys
Stenert, Cristina
Maltchik, Leonardo
Epele, Luis Beltran
McLean, Kyle I.
Kneitel, Jamie M.
Bell, Douglas A.
Greig, Hamish S.
Gagne, Chase R.
Batzer, Darold P.
author_role author
author2 Grech, Marta Gladys
Stenert, Cristina
Maltchik, Leonardo
Epele, Luis Beltran
McLean, Kyle I.
Kneitel, Jamie M.
Bell, Douglas A.
Greig, Hamish S.
Gagne, Chase R.
Batzer, Darold P.
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ALPHA DIVERSITY
BETA DIVERSITY
CONGRUENCE
FRESHWATER PONDS
HIGHER-TAXON APPROACH
TAXONOMIC SURROGACY
topic ALPHA DIVERSITY
BETA DIVERSITY
CONGRUENCE
FRESHWATER PONDS
HIGHER-TAXON APPROACH
TAXONOMIC SURROGACY
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 efficiency of biodiversity assessments and biomonitoring studies is commonly challenged by limitations in taxonomic identification and quantification approaches. In this study, we assessed the effects of different taxonomic and numerical resolutions on a range of community structure metrics in invertebrate compositional data sets from six regions distributed across North and South America. We specifically assessed the degree of similarity in the metrics (richness, equitability, beta diversity, heterogeneity in community composition and congruence) for data sets identified to a coarse resolution (usually family level) and the finest taxonomic resolution practical (usually genus level, sometimes species or morphospecies) and by presence-absence and relative abundance numerical resolutions. Spearman correlations showed highly significant and positive associations between univariate metrics (richness and equitability) calculated for coarse- and finest-resolution datasets. Procrustes analysis detected significant congruence between composition datasets. Higher correlation coefficients were found for datasets with the same numerical resolutions regardless of the taxonomic level (about 90%), while the correlations for comparisons across numerical resolutions were consistently lower. Our findings indicate that family-level resolution can be used as a surrogate of finer taxonomic resolutions to calculate a range of biodiversity metrics commonly used to describe invertebrate community structure patterns in New World freshwater wetlands without significant loss of information. However, conclusions on biodiversity patterns derived from datasets with different numerical resolutions should be critically considered in studies on wetland invertebrates.
Fil: Marques Pires, Mateus. Universidad de Vale do Rio dos Sinos; Brasil
Fil: Grech, Marta Gladys. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina
Fil: Stenert, Cristina. Universidad de Vale do Rio dos Sinos; Brasil
Fil: Maltchik, Leonardo. Universidad de Vale do Rio dos Sinos; Brasil
Fil: Epele, Luis Beltran. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagónica. Universidad Nacional de la Patagonia "San Juan Bosco". Centro de Investigación Esquel de Montaña y Estepa Patagónica; Argentina
Fil: McLean, Kyle I.. United States Geological Survey; Estados Unidos
Fil: Kneitel, Jamie M.. California State University; Estados Unidos
Fil: Bell, Douglas A.. East Bay Regional Park District; Estados Unidos
Fil: Greig, Hamish S.. The University Of Maine (the University Of Maine);
Fil: Gagne, Chase R.. The University Of Maine (the University Of Maine);
Fil: Batzer, Darold P.. University of Georgia; Estados Unidos
description The efficiency of biodiversity assessments and biomonitoring studies is commonly challenged by limitations in taxonomic identification and quantification approaches. In this study, we assessed the effects of different taxonomic and numerical resolutions on a range of community structure metrics in invertebrate compositional data sets from six regions distributed across North and South America. We specifically assessed the degree of similarity in the metrics (richness, equitability, beta diversity, heterogeneity in community composition and congruence) for data sets identified to a coarse resolution (usually family level) and the finest taxonomic resolution practical (usually genus level, sometimes species or morphospecies) and by presence-absence and relative abundance numerical resolutions. Spearman correlations showed highly significant and positive associations between univariate metrics (richness and equitability) calculated for coarse- and finest-resolution datasets. Procrustes analysis detected significant congruence between composition datasets. Higher correlation coefficients were found for datasets with the same numerical resolutions regardless of the taxonomic level (about 90%), while the correlations for comparisons across numerical resolutions were consistently lower. Our findings indicate that family-level resolution can be used as a surrogate of finer taxonomic resolutions to calculate a range of biodiversity metrics commonly used to describe invertebrate community structure patterns in New World freshwater wetlands without significant loss of information. However, conclusions on biodiversity patterns derived from datasets with different numerical resolutions should be critically considered in studies on wetland invertebrates.
publishDate 2021
dc.date.none.fl_str_mv 2021-06
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/11336/136052
Marques Pires, Mateus; Grech, Marta Gladys; Stenert, Cristina; Maltchik, Leonardo; Epele, Luis Beltran; et al.; Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?; Elsevier; Ecological Indicators; 125; 6-2021; 1-7
1470-160X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/136052
identifier_str_mv Marques Pires, Mateus; Grech, Marta Gladys; Stenert, Cristina; Maltchik, Leonardo; Epele, Luis Beltran; et al.; Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?; Elsevier; Ecological Indicators; 125; 6-2021; 1-7
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://linkinghub.elsevier.com/retrieve/pii/S1470160X21001023
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2021.107437
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.13397

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