Choice of field and laboratory methods affects the detection of anthropogenic disturbances using stream macroinvertebrate assemblages
Accurate and precise detection of anthropogenic impacts on streams using macroinvertebrates as ecological indicators depends on the use of proper field and laboratory methods. We assessed the responsiveness to anthropogenic disturbances of assemblage metrics and composition by comparing commonly employed alternative combinations of field sampling and taxonomic enumeration methods. Four datasets for our comparisons were derived in the field by 1) conducting multihabitat sampling (MH) or 2) targeted samples in a single habitat (leaf packs – SH) and in the laboratory by 3) counting all individuals of the samples, or 4) simulating subsampling of 300 individuals per sample. We collected our data from 39 headwater stream sites in a relatively small basin of the Brazilian Cerrado. We used a previously published quantitative integrated disturbance index (IDI), based on both local and catchment disturbance measurements, to characterize the intensity of human alterations at each site. Family richness and % Ephemeroptera, Plecoptera and Trichoptera (EPT) individuals obtained from each dataset were tested against the IDI through simple linear regressions, and the assemblage composition between least- and most-disturbed sites was tested using PERMANOVAs. When counting all individuals, differences in taxonomic richness and assemblage composition of macroinvertebrate assemblages between least- and most-disturbed sites were more pronounced in the MH than in the SH sampling method. Leaf packs seemed to concentrate a high abundance and diversity of macroinvertebrates in most-disturbed sites, acting as ‘biodiversity islands’ in these situations, which likely diminished the response of the assemblages to the disturbance gradient when this substrate was targeted. However, MH sampling produced weaker results than SH when subsampling was performed. The % EPT individuals responded better to the disturbance gradient when SH was employed, and its efficiency was not affected by the subsampling procedure. We conclude that no single method was the best in all situations. The efficiency of field and laboratory methods depend on the interactions among each, and the decision of which procedure to use depends on the amount of time and resources available, on the variables of interest, habitat type occurrences, and on the other methods being employed in the sampling protocol.