Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands? release_r7lp5a425bdr5aajq4yhvygfee

by 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

Published in Ecological Indicators by Elsevier BV.

2021   Volume 125, p107437

Abstract

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.
In text/plain format

Archived Files and Locations

application/pdf   3.4 MB
file_oumaa4lfznbddae3mnq4k4nbhe
ri.conicet.gov.ar (web)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-02-15
Language   en ?
Container Metadata
Open Access Publication
In DOAJ
In Keepers Registry
ISSN-L:  1470-160X
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: d76e8aba-fb2e-40e0-bfc9-abcfeb110ffc
API URL: JSON