Confronting existing knowledge on ecological preferences of stream macroinvertebrates with independent biomonitoring data using a Bayesian multi-species distribution model

• Published in: Freshwater science Vol. 40; no. 1; pp. 202 - 220
• Main Authors: Vermeiren, Peter, Reichert, Peter, Graf, Wolfram, Leitner, Patrick, Schmidt-Kloiber, Astrid, Schuwirth, Nele
• Format: Journal Article
• Language: English
• Published: Lawrence The University of Chicago Press 01.03.2021; University of Chicago Press
• Subjects: Anthropogenic factors; Bayesian analysis; Benthos; Bioindicators; Biomonitoring; Conditional probability; Data; Datasets; Distribution; Ecological effects; Environmental factors; Flow velocity; Fluvial morphology; Geographical distribution; Human influences; Identification; Indicator organisms; Indicator species; Insecticides; Knowledge; Knowledge bases (artificial intelligence); Macroinvertebrates; Morphology; Organic matter; Phylogeny; Preferences; Probability theory; Resolution; Rivers; Statistical inference; Stream pollution; Substrata; Taxa; Taxonomy; Temperature; Temperature preferences; Velocity; Zoobenthos; ecological niches; biomonitoring; Bayesian inference; habitat suitability; taxonomic resolution

A wide knowledge base regarding the ecological preferences of benthic macroinvertebrates is synthesized in public databases. This knowledge can assist in disentangling the influence of multiple environmental factors on the probability of occurrence of macroinvertebrates and in identifying anthropoge...