RESUMO

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.

RESUMO

Although in most recent broad-scale analyses, diversity is measured by counting the number of species in a given area or spatial unity (species richness), a `top-down' approach has been used sometimes, counting higher-taxon (genera, family) instead of species with some advantages. However, this higher-taxon approach is quite empirical and the cut-off level is usually arbitrarily defined. In this work, we show that the higher-taxon approach could be theoretically linked with models of phenotypic diversification by means of phylogenetic autocorrelation analysis in such a way that the taxonomic (or phylogenetic) rank to be used could not be necessarily arbitrary. This rank expresses past time in which taxa became independent for a given phenotypic trait or for the evolution of average phenotypes across different traits. We illustrated the approach by evaluating phylogenetic patches for 23 morphological, ecological and behavioural characters in New World terrestrial Carnivora. The higher-taxon counts at 18.8 mya (S L) defined by phylogenetic correlograms are highly correlated with species richness (r = 0.899; P 0.001 with ca. 13 degrees of freedom by taking spatial autocorrelation into account). However, S L in North America is usually larger than in South America. Thus, although there are more species in South and Central America, the fast recent diversification that occurred in this region generated species that are "redundant" in relation to lineages that were present at 18.8 my. BP. Therefore, the number of lineages can be comparatively used as a measure of evolutionary diversity under a given model of phenotypic divergence among lower taxonomic units.

Embora as análises da biodiversidade em escalas geográficas amplas sejam normalmente realizadas em nível das espécies, alguns trabalhos recentes têm utilizado contagens de categorias taxonômicas mais elevadas, com algumas vantagens. Entretanto, essa abordagem é aplicada de forma empírica e o nível hierárquico escolhido (gênero, famílias, etc.) é geralmente arbitrário. Este trabalho, mostra que essa abordagem pode ser ligada teoricamente aos modelos de evolução fenotípica pelos métodos de autocorrelação filogenética. Esse nível da hierarquia deve expressar o tempo passado no qual os taxa analisados se tornam independentes estatisticamente, para o fenótipo. O método proposto foi aplicado para analisar a evolução fenotípica de 23 caracteres morfológicos, ecológicos e comportamentais em espécies de Carnivora do Novo Mundo. A contagem de linhagens há 18,8 milhões de anos atrás, definida pelos correlogramas filogenéticos, foi altamente correlacionada com a riqueza de espécies (r = 0,899; P 0,001 com 13 graus de liberdade, levando em consideração a autocorrelação espacial). O número de linhagens foi maior na América do Norte, de modo que embora haja mais espécies na região tropical, estas representam eventos recentes de diversificação, com espécies redundantes em relação às linhagens que existiam há 18,8 milhões de anos atrás. O número de linhagens definido por autocorrelação pode ser utilizado como uma medida de diversidade evolutiva sob um dado modelo de divergência fenotípica.