Relationship between Morphological Characteristics and Quality of Aquatic Habitat in Mountain Streams of Slovakia

• Published in: Water (Basel) Vol. 13; no. 2; p. 142
• Main Authors: Štefunková, Zuzana, Macura, Viliam, Škrinár, Andrej, Ivan, Peter, Čistý, Milan, Majorošová, Martina, Tyukosová, Viktória
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-01-2021
• Subjects: Accuracy; Aquatic habitats; area-weighted suitability; Bioindicators; Correlation analysis; Creeks & streams; Decision making; Ecosystems; Evaluation; Fishes; Flow characteristics; Flow velocity; Foothills; habitat; habitat suitability curves; Habitats; Hydraulics; Instream flow; Instream Flow Incremental Methodology (IFIM); Morphology; Mountain streams; Physical characteristics; Polls & surveys; Quality assessment; river morphology; Rivers; Salmo trutta; Software; Streams; Surface area; Topography; Trout; Variables; Water depth; Water quality; Slovakia; Switzerland
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w13020142

This study evaluated the relationship between abiotic flow characteristics and habitat quality. Habitat quality was assessed using the Instream Flow Incremental Methodology (IFIM), which uses bioindication. Brown trout was selected as a bioindicator because of its sensitivity to morphological changes and its occurrence in sufficient reference reaches. The correlation between the morphological characteristics of the stream and the area-weighted suitability (AWS), which represents habitat quality, was evaluated. Fifty-nine reference reaches of fifty-two mountain and piedmont streams in Slovakia were analysed. The correlation analysis demonstrated the strongest relationship between the AWS and the stream depth and width. The relationship between the water surface area and the AWS indicated that, for mountain streams, there is a significantly increasing trend of the AWS value with increasing surface area. Considering piedmont streams, the AWS variation with a change in the water-surface area was minimal. These results can form the basis for deriving regression equations to determine habitat quality. Such a procedure can significantly simplify the evaluation of the quality of aquatic habitat, making it much more accessible for design practice.