Several studies indicate that negative impacts on water quality are minimally related to silviculture. We analyzed the water quality of a stream in a silvicultural region in southern Brazil, considering the relationship between the components of the landscape and biotic quality indexes, merging physical and biological descriptions of the macroinvertebrate community and environment. We selected three points in the Faxinalzinho stream to collect macroinvertebrate samples and to perform perceptual analysis from September to December/2014, applying the Biological Monitoring Working Party (BMWP') and the Rapid Assessment Protocol for Habitat Diversity (RAPHD). Diversity metrics and a Non-metric Multidimensional Scaling (NMDS) were also applied to explore variations in the aquatic community abundance matrix, associating the data to Land Use/Land Cover. A total of 569 individuals was recorded, distributed in 27 taxa. The results showed good water quality in the studied points, mainly when compared to other studies regarding urban rivers. However, we found negative effects in the site with higher silviculture land cover, presenting acceptable water quality (BMWP'= 66) and altered environmental conditions (RAPHD= 51), while the other sites presented excellent water quality (BMWP'= 127-131) and natural environment (RAPHD= 85-91).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.