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Does taxonomic and numerical resolution affect the assessment of invertebrate community structure in New World freshwater wetlands?
Pires, Mateus M; Grech, Marta G; Stenert, Cristina; Maltchik, Leonardo; Epele, Luis B; McLean, Kyle I; Kneitel, Jamie M; Bell, Douglas A; Greig, Hamish S; Gagne, Chase R; Batzer, Darold P.
Afiliação
  • Pires MM; Universidade do Vale do Rio dos Sinos (UNISINOS), 950 Unisinos av, São Leopoldo, RS, Brazil.
  • Grech MG; Centro de Investigación Esquel de Montaña y Estepa Patagónica (CONICET-UNPSJB), Roca 780, Esquel, Chubut, Argentina.
  • Stenert C; Facultad de Ciencias Naturales y Ciencias de la Salud (UNPSJB), Sede Esquel, Esquel, Chubut, Argentina.
  • Maltchik L; Universidade do Vale do Rio dos Sinos (UNISINOS), 950 Unisinos av, São Leopoldo, RS, Brazil.
  • Epele LB; Universidade do Vale do Rio dos Sinos (UNISINOS), 950 Unisinos av, São Leopoldo, RS, Brazil.
  • McLean KI; Centro de Investigación Esquel de Montaña y Estepa Patagónica (CONICET-UNPSJB), Roca 780, Esquel, Chubut, Argentina.
  • Kneitel JM; Facultad de Ciencias Naturales y Ciencias de la Salud (UNPSJB), Sede Esquel, Esquel, Chubut, Argentina.
  • Bell DA; U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, ND 58401, USA.
  • Greig HS; California State University, 6000 J St, Sacramento, CA 95819, USA.
  • Gagne CR; East Bay Regional Park District, 2950 Peralta Oaks Court, Oakland, CA 94605, USA.
  • Batzer DP; University of Maine, 212 Deering Hall, Orono, ME 04469, USA.
Ecol Indic ; 1252021 Jun.
Article em En | MEDLINE | ID: mdl-33737860
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Ecol Indic Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Ecol Indic Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos