Ontogenetic and diel variation in stream habitat use by brook trout (Salvelinus fontinalis) in a headwater stream

2011 ◽  
Vol 26 (1) ◽  
pp. 143-152 ◽  
Author(s):  
James H. Johnson ◽  
Robert M. Ross ◽  
David S. Dropkin ◽  
Lori A. Redell
Keyword(s):  
Habitat Use ◽  
Brook Trout ◽  
Salvelinus Fontinalis ◽  
Headwater Stream ◽  
Stream Habitat ◽  
Diel Variation

Long-Term Effects of Large Woody Debris Addition on Stream Habitat and Brook Trout Populations

2010 ◽  
Vol 1 (2) ◽  
pp. 146-151 ◽  
Author(s):  
John A. Sweka ◽  
Kyle J. Hartman ◽  
Jonathan M. Niles
Keyword(s):  
Brook Trout ◽  
Habitat Complexity ◽  
Salvelinus Fontinalis ◽  
Woody Debris ◽  
Large Woody Debris ◽  
Stream Habitat ◽  
Long Term Effects ◽  
Habitat Manipulation ◽  
Central Appalachians

Abstract In this study, we resurveyed stream habitat and sampled brook trout Salvelinus fontinalis populations 6 y after large woody debris additions to determine long-term changes in habitat and brook trout populations. In a previous study, we added large woody debris to eight streams in the central Appalachians of West Virginia to determine whether stream habitat could be enhanced and brook trout populations increased following habitat manipulation. The large woody debris additions had no overall effect on stream habitat and brook trout populations by 6 y after the additions. The assumption that a lack of large woody debris is limiting stream habitat and brook trout populations was not supported by our results. In high-gradient streams, habitat complexity may be governed more by the abundance of boulders and large woody debris may have a lesser influence on trout populations.

Hierarchical analysis of relationships between brook trout (Salvelinus fontinalis) density and stream habitat features

2007 ◽  
Vol 64 (5) ◽  
pp. 777-785 ◽  
Author(s):  
Julie Deschênes ◽  
Marco A Rodríguez
Keyword(s):  
Current Velocity ◽  
Brook Trout ◽  
Salvelinus Fontinalis ◽  
Woody Debris ◽  
Spatial Scales ◽  
Contextual Effect ◽  
Stream Habitat ◽  
Habitat Features ◽  
Multiple Spatial Scales ◽  
Habitat Variables

We used hierarchical linear regression to examine relationships between brook trout (Salvelinus fontinalis) density and habitat features nested at three levels: sections within reaches, reaches within streams, and streams within a basin. Brook trout density and environmental variables were quantified at 600 stream sections distributed among 120 reaches and 22 streams in the Cascapedia River basin, Quebec, Canada. Decomposition of variance showed that variation in density among streams was small relative to that among sections or reaches and not statistically significant. Density was influenced by habitat variables at both the section (current velocity, woody debris, cover) and reach (subbasin area, height increment at flood, valley width) levels. A cross-level interaction between current velocity and subbasin area pointed to a "contextual" effect: density showed stronger decline with current velocity in larger subbasins than in smaller subbasins. This result suggests that there was no single "best scale" for examining fish–environment relationships. Accounting for contextual effects by use of hierarchical models can enhance our understanding of how habitat features influence fish densities at multiple spatial scales.

Spatial variability in adult brook trout (Salvelinus fontinalis) survival within two intensively surveyed headwater stream networks

2014 ◽  
Vol 71 (7) ◽  
pp. 1010-1019 ◽  
Author(s):  
Yoichiro Kanno ◽  
Benjamin H. Letcher ◽  
Jason C. Vokoun ◽  
Elise F. Zipkin
Keyword(s):  
Spatial Variability ◽  
Count Data ◽  
Brook Trout ◽  
Salvelinus Fontinalis ◽  
Survival Rates ◽  
Headwater Stream ◽  
The Other ◽  
Stream Networks ◽  
Open Population ◽  
Demographic Rates

Headwater stream networks are considered heterogeneous riverscapes, but it is challenging to characterize spatial variability in demographic rates. We estimated site-scale (50 m) survival of adult (>age 1+) brook trout (Salvelinus fontinalis) within two intensively surveyed headwater stream networks by applying an open-population N-mixture approach to count data collected over two consecutive summers. The estimated annual apparent survival rate was 0.37 (95% CI: 0.28–0.46) in one network and 0.31 (95% CI: 0.15–0.45) in the other network. In both networks, trout survival was higher in stream sites characterized by more abundant pool habitats. Trout survival was negatively associated with mean depth in one network and positively associated with stream gradient in the other. Stream temperature was not related to trout survival in either network, possibly because the majority of sites were thermally suitable. A similar analytical approach can be useful for inferring survival rates when count data are available over space and time but individual tagging is not feasible.

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