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

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 i...

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Autores principales:	Mateus M. Pires, Marta G. Grech, Cristina Stenert, Leonardo Maltchik, Luis B. Epele, Kyle I. McLean, Jamie M. Kneitel, Douglas A. Bell, Hamish S. Greig, Chase R. Gagne, Darold P. Batzer
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Alpha diversity Beta diversity Congruence Freshwater ponds Higher-taxon approach Taxonomic surrogacy Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/61e49afe83544288aad8a28ad646c06f
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spelling	oai:doaj.org-article:61e49afe83544288aad8a28ad646c06f2021-12-01T04:46:10ZDoes taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?1470-160X10.1016/j.ecolind.2021.107437https://doaj.org/article/61e49afe83544288aad8a28ad646c06f2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21001023https://doaj.org/toc/1470-160XThe 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.Mateus M. PiresMarta G. GrechCristina StenertLeonardo MaltchikLuis B. EpeleKyle I. McLeanJamie M. KneitelDouglas A. BellHamish S. GreigChase R. GagneDarold P. BatzerElsevierarticleAlpha diversityBeta diversityCongruenceFreshwater pondsHigher-taxon approachTaxonomic surrogacyEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107437- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Alpha diversity Beta diversity Congruence Freshwater ponds Higher-taxon approach Taxonomic surrogacy Ecology QH540-549.5
spellingShingle	Alpha diversity Beta diversity Congruence Freshwater ponds Higher-taxon approach Taxonomic surrogacy Ecology QH540-549.5 Mateus M. Pires Marta G. Grech Cristina Stenert Leonardo Maltchik Luis B. Epele Kyle I. McLean Jamie M. Kneitel Douglas A. Bell Hamish S. Greig Chase R. Gagne Darold P. Batzer Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
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.
format	article
author	Mateus M. Pires Marta G. Grech Cristina Stenert Leonardo Maltchik Luis B. Epele Kyle I. McLean Jamie M. Kneitel Douglas A. Bell Hamish S. Greig Chase R. Gagne Darold P. Batzer
author_facet	Mateus M. Pires Marta G. Grech Cristina Stenert Leonardo Maltchik Luis B. Epele Kyle I. McLean Jamie M. Kneitel Douglas A. Bell Hamish S. Greig Chase R. Gagne Darold P. Batzer
author_sort	Mateus M. Pires
title	Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
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?
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/61e49afe83544288aad8a28ad646c06f
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Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?

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