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Ecological studies of mayflies (Insecta, Ephemeroptera): Can sampling effort be reduced without losing essential taxonomic and ecological information? Acta Amazonica
SHIMANO,Yulie; CARDOSO,Mylena; JUEN,Leandro.
ABSTRACT The present study evaluated the potential for the reduction of sampling effort in studies of ephemeropteran nymphs in Brazilian Amazon streams, Pará State, Brazil, without the loss of ecological information (species composition, abundance, and richness), and the congruence of different levels of taxonomic resolution (morphospecies, genus, family and functional group). Test groups of 15, 10 and five subsamples were selected from the 20 subsamples collected per stream (40 streams sampled), and were compared in terms of their species richness and abundance (ANOVA), and composition (Procrustes). Taxonomic resolution was also analyzed in Procrustes. Species abundance (F(3, 156) = 25.426; p < 0.001) and richness (F(3, 156) = 13.866, p < 0.001)...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Congruence; Environmental monitoring; Functional feeding group; Taxonomic resolution.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672018000200137
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Optimizing image-based protocol to monitor macroepibenthic communities colonizing artificial structures ArchiMer
Taormina, Bastien; Marzloff, Martin; Desroy, Nicolas; Caisey, Xavier; Dugornay, Olivier; Metral Thiesse, Emmanuelle; Tancray, Aurelien; Carlier, Antoine.
Underwater imagery is increasingly used as an effective and repeatable method to monitor benthic ecosystems. Nevertheless, extracting ecologically relevant information from a large amount of raw images remains a time-consuming and somewhat laborious challenge. Thus, underwater imagery processing needs to strike a compromise between time-efficient image annotation and accuracy in quantifying benthic community composition. Designing and implementing robust image sampling and image annotation protocols are therefore critical to rationally address these trade-offs between ecological accuracy and processing time. The aim of this study was to develop and to optimize a reliable image scoring strategy based on the point count method using imagery data acquired on...
Tipo: Text Palavras-chave: Benthic monitoring; Fouling community; Sampling design; Taxonomic resolution; Underwater imagery.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00599/71160/69550.pdf
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