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Title: Effects of isolation and environmental variables on fish community structure in the Brazilian amazon madeira-purus interfluve
Other Titles: Efeito do isolamento e das variáveis ambientais na estrutura de comunidades de peixes do interflúvio madeira-purus na amazônia Brasileira
Authors: Barros, Daniela de França
Albernaz, Ana Luísa Kerti Mangabeira
Zuanon, Jansen
Espírito-Santo, Helder Mateus Viana
Mendonça, Fernando Pereira
Galuch, André Vieira
Keywords: Animals
Biological Model
Environmental Monitoring
Principal Component Analysis
Water Flow
Environmental Monitoring
Models, Biological
Principal Component Analysis
Water Movements
Issue Date: 2013
metadata.dc.publisher.journal: Revista Brasileira de Biologia
metadata.dc.relation.ispartof: Volume 73, Número 3, Pags. 491-499
Abstract: Due to the existence of terrestrial barriers to freshwater fish dispersion, it is believed that its distribution is strongly associated with historical factors related to the formation of the habitats they occupy. By the other hand, some studies reveal the influence of abiotic conditions (such as size of water bodies, pH, conductivity) on the composition of fish fauna occurring in small streams. This study aimed to investigate whether drainage basins, because catchment boundaries are potential barriers to fish dispersion, or the physical structure and physico-chemical characteristics of water have a greater influence on fish community structure in small streams. We sampled 22 streams belonging to five drainage basins in the Madeira-Purus interfluve. Fish were caught with dip nets and a small trawl, and data were simultaneously obtained on structural characteristics of the streams and physico-chemical characteristics of the water. Community composition was analyzed using Non-Metric Multidimensional Scaling (NMDS), and variables related to structural and physico-chemical characteristics were summarized by Principal Component Analysis (PCA). Two explanatory models relating faunal composition to environmental factors were constructed: the first using only continuous variables and the second including the drainage basin as a categorical variable. The Akaike Information Criterion (AIC) and AIC weight were used to select the best model. Although structural and physico-chemical variables significantly contributed to explaining faunal composition, the model including the drainage basin was clearly the better of the two models (more than 90% support in the data). The importance of drainage basins in structuring fish communities in streams may have significant consequences for conservation planning in these environments.
metadata.dc.identifier.doi: 10.1590/S1519-69842013000300005
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