scholarly journals Wigwam River Juvenile Bull Trout and Fish Habitat Monitoring Program : 2002 Data Report.

2003 ◽  
Author(s):  
R.S. Cope
Keyword(s):  
Fish Habitat ◽  
Monitoring Program ◽  
Bull Trout ◽  
Habitat Monitoring

Using confidence intervals to estimate the response of salmon populations (Oncorhynchus spp.) to experimental habitat alterations

2005 ◽  
Vol 62 (12) ◽  
pp. 2716-2726 ◽  
Author(s):  
Michael J Bradford ◽  
Josh Korman ◽  
Paul S Higgins
Keyword(s):  
Confidence Intervals ◽  
Effect Size ◽  
Null Hypothesis ◽  
Statistical Power ◽  
Habitat Restoration ◽  
Coho Salmon ◽  
Fish Habitat ◽  
Monitoring Program ◽  
Considerable Uncertainty ◽  
Monitoring Programs

There is considerable uncertainty about the effectiveness of fish habitat restoration programs, and reliable monitoring programs are needed to evaluate them. Statistical power analysis based on traditional hypothesis tests are usually used for monitoring program design, but here we argue that effect size estimates and their associated confidence intervals are more informative because results can be compared with both the null hypothesis of no effect and effect sizes of interest, such as restoration goals. We used a stochastic simulation model to compare alternative monitoring strategies for a habitat alteration that would change the productivity and capacity of a coho salmon (Oncorhynchus kisutch) producing stream. Estimates of the effect size using a freshwater stock–recruit model were more precise than those from monitoring the abundance of either spawners or smolts. Less than ideal monitoring programs can produce ambiguous results, which are cases in which the confidence interval includes both the null hypothesis and the effect size of interest. Our model is a useful planning tool because it allows the evaluation of the utility of different types of monitoring data, which should stimulate discussion on how the results will ultimately inform decision-making.

It’s complicated…Environmental DNA as a predictor of trout and char abundance in streams

2020 ◽  
Author(s):  
Adam J. Sepulveda ◽  
Robert Al-Chokhachy ◽  
Matthew B Laramie ◽  
Kyle Crapster ◽  
W Ladd Knotek ◽  
...  
Keyword(s):  
Cutthroat Trout ◽  
Environmental Dna ◽  
Fish Abundance ◽  
Bull Trout ◽  
Intermountain West ◽  
Salvelinus Confluentus ◽  
Oncorhynchus Clarkii ◽  
Habitat Monitoring ◽  
Abundance Estimates ◽  
Random Site

The potential to provide inferences about fish abundance from environmental (e)DNA samples has generated great interest. However, the accuracy of these abundance estimates is often low and variable across species and space. A plausible refinement is the use of common aquatic habitat monitoring data to account for attributes that influence eDNA dynamics. We therefore evaluated the relationships between eDNA concentration and abundance of bull trout (Salvelinus confluentus), westslope cutthroat trout (Oncorhynchus clarkii lewisi) and rainbow trout (O. mykiss) at 42 stream sites in the Intermountain West (USA and CAN) and tested if accounting for site-specific habitat attributes improved the accuracy of fish abundance estimates. eDNA concentrations were positively associated with fish abundance but these relationships varied by species and site and there was considerable variation unaccounted for. Random site-level differences explained much of this variation, but specific habitat attributes of those sites explained relatively small amounts of this variation. Our results underscore that either eDNA sampling or environmental characterization will require further refinement before eDNA can be used reliably to estimate fish abundance in streams.

Pulp and Paper Environmental Effects Monitoring in Canada: An Overview

2002 ◽  
Vol 37 (1) ◽  
pp. 7-19 ◽  
Author(s):  
Sherry L. Walker ◽  
Kathleen Hedley ◽  
Edward Porter
Keyword(s):  
Environmental Effects ◽  
Fish Habitat ◽  
Monitoring Program ◽  
Research Priorities ◽  
Pulp And Paper ◽  
Paper Mills ◽  
Fisheries Resources ◽  
Pulp And Paper Effluent ◽  
Receiving Environments ◽  
Environmental Effects Monitoring

Abstract Environmental effects monitoring (EEM) is a requirement for pulp and paper mills in Canada discharging effluent directly into receiving environments under the Pulp and Paper Effluent Regulations of the Fisheries Act. The objective of the EEM program is to assess effects on fish, fish habitat and the use of fisheries resources by humans, potentially affected by the deposit of mill effluent in aquatic receiving environments. The information provided by the monitoring program will contribute to assessing the adequacy of the regulations. Difficulties encountered in the first round of monitoring led to an extensive science review of key components and resulted in improvement to process, scientific defensibility of the monitoring data and site-specific flexibility of the EEM program. The second cycle of EEM was, overall, markedly more successful than Cycle 1. However, problems were still evident for fish surveys conducted in marine and estuarine environments. The adoption of improved alternative monitoring approaches (e.g., caged bivalves, mesocosms) should alleviate many of these problems. An overview of the EEM program, results to date, alternative monitoring approaches, and research priorities to fill data gaps are presented.

Development of a Monitoring Design for Examining Effects in Wild Fish Associated with Discharges from Metal Mines

2002 ◽  
Vol 37 (1) ◽  
pp. 229-249 ◽  
Author(s):  
Sandra C. Ribey ◽  
Kelly R. Munkittrick ◽  
Mark E. McMaster ◽  
Simon Courtenay ◽  
Claude Langlois ◽  
...  
Keyword(s):  
Fish Habitat ◽  
Monitoring Program ◽  
Fish Tissue ◽  
Fish Population ◽  
Benthic Invertebrate ◽  
Alternative Methods ◽  
Metal Mining ◽  
Monitoring Design ◽  
Mine Effluent ◽  
Fisheries Act

Abstract As part of the amended Metal Mining Liquid Effluent Regulations under the Fisheries Act, mines will be required to develop and conduct Environmental Effects Monitoring (EEM). EEM will be done to evaluate the effects of mine effluent on fish, fish habitat, and fish usability. Mines will be required to determine if there are changes in fish populations and/or in the usability of fish due to mine effluent. The EEM program has been designed with a tiered monitoring approach, with the first phase determining if an effect is present. Subsequent phases of EEM will focus on continued monitoring and determining the magnitude, geographic extent, and cause of effects (if any). Fish collected from the area exposed to mine effluent will be compared to fish from a reference area in order to determine if there is an effect, if the effect is mine related and the cause of the effect within the effluent. The fish population survey will examine the growth, reproduction, condition, and survival of one or more resident sentinel fish species. Fish usability will be determined based on the appearance of fish, their use, and the contaminant levels in fish tissue. It is recognized that some mines may not be able to implement a fish monitoring program as outlined, so it has been recommended that alternative methods, such as a caged bivalves or on-site bioassays, may also be used. Frequency of monitoring will be dependent on the previous results of the fish and benthic invertebrate monitoring phases.

Predictive modeling and spatial mapping of fish distributions in small streams of the Canadian Rocky Mountain foothills

2008 ◽  
Vol 65 (2) ◽  
pp. 319-333 ◽  
Author(s):  
Richard J McCleary ◽  
Marwan A Hassan
Keyword(s):  
Land Use ◽  
Rainbow Trout ◽  
Brook Trout ◽  
Resource Selection ◽  
Fish Habitat ◽  
Rocky Mountain ◽  
Selection Function ◽  
Bull Trout ◽  
Automated Method ◽  
Small Streams

We developed an automated procedure for modeling spatial distribution of fish occurrence using logistic regression models and geographic information system (GIS) tools. Predictors were measured from a digital elevation model (DEM) and stream layers. We evaluated the accuracy of GIS measures of reach slope through a comparison with field measures. Resource selection function models were used to explain presence-absence of bull trout (Salvelinus confluentus), rainbow trout, (Oncorhynchus mykiss), nonnative brook trout (Salvelinus fontinalis), and all fishes. Our models were extrapolated based on low, medium, and high levels of probability to produce reach-scale maps across 12 000 km2. We attempted to improve models by adding land-use variables; however, the terrain best suited to road building and harvest also contained the habitat selected by rainbow trout, whereas bull trout generally selected terrain too steep for land use. These confounding factors emphasize the need for process-based investigations in addition to correlative approaches to identify habitat requirements. This automated method provides a rapid evaluation of fish habitat across remote areas useful for salmonid conservation and research planning.

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