title: The fish community as an indicator of biotic integrity of the streams in the Sinos River basin, Brazil.
abstract: The basin of the Sinos River, located in the northeastern part of Rio Grande do Sul state, Brazil, has been highly impacted by industrial and urban activities. Water quality is low because of domestic and industrial sewage discharges. Most of the tributaries have suffered drastic structural interventions like canalisations and the removal of riparian vegetation. The aims of this study were to: 1) assess the diversity of fish at 34 sampling sites in twenty-four tributaries of the Sinos River basin; 2) quantify impact level by the Shannon-Wiener diversity index and an adapted Index of Biotic Integrity (IBI); and 3) check the interference of environmental impacts, formerly quantified in a Stream Corridor Assessment Survey (SCAS), on the fish assembly and 4) compare the relationship between the IBI with stream order. Fish sampling was performed by electric fishing in the period from April 2004 to August 2006. A total of 4,869 individuals were sampled, representing 61 species, 14 families and six orders. Significant relationships of the Shannon-Wiener index and IBI with SCAS scores and stream orders were found. Of all impacts that make up the SCAS score, only channel modifications were significantly correlated with IBI. These results indicate that the adaptation of the IBI was effective and performed better than the Shannon-Wiener diversity index when related directly to specific impact categories. The application of the IBI with the SCAS and the other variables was efficient in the tributaries of the Sinos River basin because it showed the biotic degradation in accordance with changes in physical habitat.
authors.affiliation: Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brazil. patybiologia@gmail.com
authors.forename: P F
authors.initials: PF
authors.lastname: Costa
authors.forename: U H
authors.initials: UH
authors.lastname: Schulz
mesh_terms: D000818:Animals; D058448:Biota; D001938:Brazil; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005399:Fishes / Q000145:classification*; D011157:Population Dynamics; D045483:Rivers