Skip to content. | Skip to navigation

Sections
Personal tools
You are here: Home / Practitioners (individuals) / Perry, Stephen

Search results

371 items matching your search terms.
Filter the results.
Item type


















New items since



Sort by relevance · date (newest first) · alphabetically
St. Croix River Tributary Culvert Replacement,West Musquash Tributary, Grand Lake Stream, Maine
This project will improve access to a West Musquash Tributary (Otter Brook) for fish and other aquatic organisms and restore the ecological function of this stream. In addition, the project will address a chronic sedimentation problem that is detrimental to the health of the stream, the 4,200 acre Big Musquash wetlands complex, and the West Branch of the St. Croix River International Waterway. The project cost is $44,000 and the estimated socioeconomic benefit is $0.8 million.
Located in Projects / 2006 - 2018 Projects / 2018 Projects
File St. Croix River Tributary Culvert Replacement,West Musquash Trib., Grand Lake Stream, Maine
Project application
Located in Projects / / 2018 Projects / St. Croix River Tributary Culvert Replacement,West Musquash Tributary, Grand Lake Stream, Maine
State Maps of Wild Brook Trout Patch Distribution
These state maps visually depict the location of wild Brook Trout patches.
Located in Science and Data / EBTJV Maps Archive (pdfs) / EBTJV State Maps and Resources
Stream Assessment and Monitoring
Research publications related to assessing and monitoring streams.
Located in Science and Data / Brook Trout Related Publications
File ECMAScript program Summary of EBTJV Business Plan Priorities
This document summarizes the Brook Trout conservation priorities contained within the EBTJV's 2014-2018 Business Plan.
Located in About EBTJV / EBTJV Management / EBTJV Business Plan
File Troff document Sunday River "Chop and Drop", ME_FY07 Project
This project evaluated the impacts of adding large woody material to streams in order to attenuate flows and determined that adding this material resulted in positive trends in reducing flashiness of flows, improving Brook Trout habitat, and trapping sediment. However, one of the lessons learned was that a longer monitoring period than the three-year life of this project is needed. Overall, the project determined that "chop and drop" can be a relatively inexpensive and simple method to attenuate variability in flows, create, improve and restore Brook Trout habitat, and trap sediment.
Located in Projects / Project Completion Reports
Symposium Proceedings
Located in Science and Data / Symposium Proceedings
File Technical Guide for Field Practitioners: Understanding and Monitoring Aquatic Organism Passage at Road-Stream Crossings
Stream connectivity has become increasingly important for river restoration and fish-habitat improvement projects (Fullerton et al. 2010) amidst increasing evidence that it plays a vital role in supporting aquatic organism populations (Roni et al. 2002; Gibson et al. 2005) and species diversity (Nislow et al. 2011). Recent emphasis on identifying and removing barriers in order to restore aquatic organism passage (AOP) is based on well-documented negative effects of road-stream crossings on fish (Rieman et al. 1997; Hudy et al. 2005) and the potential for cost-effective restoration of aquatic habitat. However, challenges remain in identifying barriers and prioritizing road-stream crossings for remediation. The U.S. Department of Agriculture Forest Service (USFS) has been working to stream-line the process of identifying and remediating road-stream crossings that are inadequate for AOP.
Located in Science and Data / Brook Trout Related Publications
File 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
File The Importance of Scale: Assessing and Predicting Brook Trout Status in its Southern Native Range
Occupancy models are of increasing interest to managers and natural resource decision makers. Assessment of status and trends, as well as the specific drivers influencing occupancy, both may change as a function of scale, and analyses conducted at multiple scales can help identify important mechanisms leading to changes in distributions. We analyzed extensive fine-scale occupancy data across the southern historic range of the brook trout, Salvelinus fontinalis to determine which landscape metrics and thresholds were useful in predicting brook trout presence across three relevant spatial scales and how brook trout occupancy varied by scale. Percentage occupancy declined markedly with increased spatial resolution, as 52% of watersheds (HUC10) but only 32% of subwatersheds (HUC12) and 14% of catchments (HUC14) were occupied. Across all three scales, habitats which were exclusively occupied by native brook trout (without non-native trout) were rare (<10%). CART models using GIS-derived landscape predictor variables were developed for three classification cases: Case 1:(brook trout; no brook trout), Case 2 (brook trout; non-native trout only; no trout), and Case 3 (brook trout only; brook and non-native trout; non-native trout only and no trout). Model results were sensitive to both scale and the number of classification categories with respect to classification accuracy, variable selection and variable threshold values. Classification accuracy tended to be lowest at the finest (catchment) scale potentially reflecting stochastic population processes and barriers to movement. Classification rates for the overall models were: Case 1: Watershed (80.19%); Subwatershed (85.06%); Catchment (71.13%); Case 2: Watershed (69.31%); Subwatershed (68.72%); Catchment (57.38%); Case 3: Watershed (58.91%); Subwatershed (59.83%); Catchment (47.59%). Our multiscale approach revealed soil permeability (positive) and atmospheric pollution (negative) to be important predictors. The predicted occupancy and observed status of brook trout appear to be influenced by the scale the data are collected and reported.
Located in Science and Data / Brook Trout Related Publications