caa a22 4500 467905320 CHVBK 20180406152832.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s10661-006-0766-5 doi (NATIONALLICENCE)springer-10.1007/s10661-006-0766-5 Combining Logistic Models with Multivariate Methods for the Rapid Biological Assessment of Rivers Using Macroinvertebrates [Elektronische Daten] [S. Oliveira, R. Cortes] This work represents an attempt to define a simple method to classify the relative degree of disturbance of sites in lotic systems on the basis of comparison of their faunistic composition with reference sites. Two ecotypes were selected in northern Portugal where benthic invertebrates were sampled in reaches with different levels of contamination. As a first stage, previous Geographic Information System information was used to define reference sites in each ecotype. Afterwards, multivariate techniques and non linear estimation models were combined to assess biological quality. This method allowed us to quantify sites according to increasing levels of contamination, after the probabilities of occurrence of taxa along a gradient of contamination taking into account the reference condition. The results suggest that this method is sensitive to organic pollution, easy to interpret, namely the species tolerance, and could be a good framework to establish regional rankings depending on the ecological impact of river sites. Springer Science + Business Media, Inc., 2006 benthic communities nationallicence biomonitoring nationallicence ecotypes nationallicence logistic models nationallicence multivariate techniques nationallicence reference sites nationallicence Oliveira S. Departamento Florestal, Universidade de Trás-os-Montes e Alto Douro, Apartment 1013, Vila Real, Portugal aut Cortes R. Departamento Florestal, Universidade de Trás-os-Montes e Alto Douro, Apartment 1013, Vila Real, Portugal aut Environmental Monitoring and Assessment Kluwer Academic Publishers 112/1-3(2006-01-01), 93-113 0167-6369 112:1-3<93 2006 112 10661 https://doi.org/10.1007/s10661-006-0766-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-0766-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Oliveira S. Departamento Florestal, Universidade de Trás-os-Montes e Alto Douro, Apartment 1013, Vila Real, Portugal aut NATIONALLICENCE 700 1- Cortes R. Departamento Florestal, Universidade de Trás-os-Montes e Alto Douro, Apartment 1013, Vila Real, Portugal aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 112/1-3(2006-01-01), 93-113 0167-6369 112:1-3<93 2006 112 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer