Perry, Stephen

A Function-Based Framework for Stream Assessment & Restoration Projects: Stream restoration efforts have increased significantly in the US over the past few decades and are now recognized as a billion-dollar industry. These restoration efforts stem from centuries of abuse as humans continue to alter the riverine landscape for a variety of purposes, including farming, logging, mining and development on the floodplain, and the subsequent need for channelization and flood control. These activities have significantly diminished the natural functions of our stream corridors. Today stream corridor restoration efforts seek to improve or restore these lost functions. A variety of federal, state and local programs, along with efforts from non-profit organizations, provide funding for these programs. The goals are varied and range from simple streambank stabilization projects to watershed scale restoration. For these projects to be successful it is important to know why the project is being completed and what techniques are best suited to restore the lost functions. Knowing why a project is needed requires some form of functional assessment followed by clear project goals. To successfully restore stream functions, it is necessary to understand how these different functions work together and which restoration techniques influence a given function. It is also imperative to understand that stream functions are interrelated and build on each other in a specific order, a functional hierarchy. If this hierarchy is understood, it is easier to establish project goals. And with clearer goals, it is easier to evaluate project success.
Located in Science and Data / Brook Trout Related Publications / Stream Assessment and Monitoring
Sampling strategies for estimating brook trout effective population size: The influence of sampling strategy on estimates of effective population size (Ne) from single-sample genetic methods has not been rigorously examined, though these methods are increasingly used. For headwater salmonids, spatially close kin association among age-0 individuals suggests that sampling strategy (number of individuals and location from which they are collected) will influence estimates of Ne through family representation effects. We collected age-0 brook trout by completely sampling three headwater habitat patches, and used microsatellite data and empirically parameterized simulations to test the effects of different combinations of sample size (S = 25, 50, 75, 100, 150, or 200) and number of equally-spaced sample starting locations (SL = 1, 2, 3, 4, or random) on estimates of mean family size and effective number of breeders (Nb). Both S and SL had a strong influence on estimates of mean family size and ^ Nb; however the strength of the effects varied among habitat patches that varied in family spatial distributions. The sampling strategy that resulted in an optimal balance between precise estimates of Nb and sampling effort regardless of family structure occurred with S = 75 and SL = 3. This strategy limited bias by ensuring samples contained individuals from a high proportion of available families while providing a large enough sample size for precise estimates. Because this sampling effort performed well for populations that vary in family structure, it should provide a generally applicable approach for genetic monitoring of iteroparous headwater stream fishes that have overlapping generations.
Located in Science and Data / Brook Trout Related Publications / Stream Assessment and Monitoring
Brook Trout Genetics Research: Research studies related to Brook Trout genetics.
Located in Science and Data / Brook Trout Related Publications
Fragmentation and Patch Size Shape Genetic Structure of Brook Trout Populations: We tested the relative influence of habitat patch size and connectivity on genetic structure and effective population size in eight brook trout (Salvelinus fontinalis) habitat patches in a watershed in Virginia, USA. Variation at eight microsatellite loci in 2229 young-of-the-year brook trout for two successive cohorts (2010 and 2011) was examined. Genetic differentiation across all populations was pronounced. Overall F'ST was 0.397 (95% CI: 0.322–0.525) and overall FST was 0.124 (95% CI: 0.096–0.159). Above-barrier patch size had a strong positive relationship with genetic diversity, Nˆ b, and genetic differentiation. Our analysis is consistent with greater extinction risk in smaller above-barrier patches. Larger above-barrier patches contained greater genetic diversity but reduced Nˆ b relative to adjacent below-barrier patches. The primary effect of barriers may be to reduce available above-barrier spawning habitat, even for larger above-barrier patches. Below-barrier patches also showed evidence of reduced genetic diversity and lack of connectivity. Genetic monitoring focused at gaining a broader understanding of the relationships here will be necessary to fully evaluate local extinction risks.
Located in Science and Data / Brook Trout Related Publications / Brook Trout Genetics Research
Chesapeake Bay Brook Trout Management Strategy-References: This folder contains the publications cited in the Chesapeake Bay Brook Trout Management Strategy (2015-2025).
Located in Science and Data / Brook Trout Related Publications
Assessment and predictive model for Brook Trout in the eastern US - Thieling 2006: This Masters Thesis describes models used to predict the classification of Brook Trout status at the subwatershed scale.
Located in Science and Data / Brook Trout Related Publications / Chesapeake Bay Brook Trout Management Strategy-References
Distribution and Status of Brook Trout in eastern U.S. - Hudy et al. 2008: This publication describes the distribution and status of Brook Trout across its historic eastern U. S. range.
Located in Science and Data / Brook Trout Related Publications / Chesapeake Bay Brook Trout Management Strategy-References
The Importance of Scale: Assessing and Predicting Brook Trout Status - Hudy et al. 2013: This article analyzes extensive fine-scale occupancy data across the southern historic range of Brook Trout.
Located in Science and Data / Brook Trout Related Publications / Chesapeake Bay Brook Trout Management Strategy-References
Patch Metrics: A Cost Effective Method for Monitoring Brook Trout Populations - Hudy et al. 2013: This paper describes a cost effective method for monitoring short and long term trends of Chesapeake Bay's Brook Trout populations.
Located in Science and Data / Brook Trout Related Publications / Chesapeake Bay Brook Trout Management Strategy-References
Chesapeake Bay Fish Passage Prioritization: An assessment of dams in the Chesapeake Bay watershed.
Located in Science and Data / Brook Trout Related Publications / Chesapeake Bay Brook Trout Management Strategy-References

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