title: Taxonomic and numerical resolutions of nepomorpha (insecta: heteroptera) in cerrado streams.
abstract: Transformations of natural landscapes and their biodiversity have become increasingly dramatic and intense, creating a demand for rapid and inexpensive methods to assess and monitor ecosystems, especially the most vulnerable ones, such as aquatic systems. The speed with which surveys can collect, identify, and describe ecological patterns is much slower than that of the loss of biodiversity. Thus, there is a tendency for higher-level taxonomic identification to be used, a practice that is justified by factors such as the cost-benefit ratio, and the lack of taxonomists and reliable information on species distributions and diversity. However, most of these studies do not evaluate the degree of representativeness obtained by different taxonomic resolutions. Given this demand, the present study aims to investigate the congruence between species-level and genus-level data for the infraorder Nepomorpha, based on taxonomic and numerical resolutions. We collected specimens of aquatic Nepomorpha from five streams of first to fourth order of magnitude in the Pindaíba River Basin in the Cerrado of the state of Mato Grosso, Brazil, totaling 20 sites. A principal coordinates analysis (PCoA) applied to the data indicated that species-level and genus-level abundances were relatively similar (>80% similarity), although this similarity was reduced when compared with the presence/absence of genera (R = 0.77). The presence/absence ordinations of species and genera were similar to those recorded for their abundances (R = 0.95 and R = 0.74, respectively). The results indicate that analyses at the genus level may be used instead of species, given a loss of information of 11 to 19%, although congruence is higher when using abundance data instead of presence/absence. This analysis confirms that the use of the genus level data is a safe shortcut for environmental monitoring studies, although this approach must be treated with caution when the objectives include conservation actions, and faunal complementarity and/or inventories.
authors.affiliation: Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brasil; Laboratório de Entomologia, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brasil.
authors.forename: Nubia França da Silva
authors.initials: NF
authors.lastname: Giehl
authors.affiliation: Programa de Pós-graduação em Ciências Ambientais, ICB1, Universidade Federal de Goiás, Goiânia, Goiás, Brasil.
authors.forename: Karina
authors.initials: K
authors.lastname: Dias-Silva
authors.affiliation: Laboratório de Ecologia e Conservação, Instituto de Ciências Biológicas, Universidade Federal do Pará (UFPA), Belém, Pará, Brasil.
authors.forename: Leandro
authors.initials: L
authors.lastname: Juen
authors.affiliation: Laboratório de Entomologia, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brasil.
authors.forename: Joana Darc
authors.initials: JD
authors.lastname: Batista
authors.affiliation: Laboratório de Entomologia, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brasil; Departamento de Biologia, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brasil.
authors.forename: Helena Soares Ramos
authors.initials: HS
authors.lastname: Cabette
mesh_terms: D000818:Animals; D001938:Brazil; D004784:Environmental Monitoring; D020062:Heteroptera / Q000145:classification* / Q000235:genetics; D007313:Insecta / Q000145:classification* / Q000235:genetics
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