Skip to main content

Person

Rachelle C Johnson

Bio Tech

Western Fisheries Research Center

Email: rachellejohnson@usgs.gov
Office Phone: 206-526-2532

Supervisor: Jeffrey Duda
thumbnail
This database is the result of an extensive literature search aimed at identifying documents relevant to the emerging field of dam removal science. In total the database contains 296 citations that contain empirical monitoring information associated with 207 different dam removals across the United States and abroad. Data includes publications through 2020 and supplemented with the U.S. Army Corps of Engineers National Inventory of Dams database, U.S. Geological Survey National Water Information System and aerial photos to estimate locations when coordinates were not provided. Publications were located using the Web of Science, Google Scholar, and Clearinghouse for Dam Removal Information.
thumbnail
This dataset provides cost estimates for 668 dam removal projects occurring in the United States. Cost estimates were obtained by searching the internet for sources of information that mention the cost of dam removal projects listed in the USGS Dam Removal Information Portal. When cost data were not available for a dam removal but contact information was, then personal communications were used to acquire additional cost information. The accuracy of estimates is not known but we assume that most estimates represent close to the total cost or the minimum financial cost, with overestimates being rare. Total cost information could include component costs related to project planning, dam deconstruction cost, and several...
This release includes data used to fit mass- and temperature-dependent functions for consumption and respiration of redside shiner based on controlled laboratory experiments of maximum consumption (Cmax) rates and routine metabolic rates using intermittent-flow respirometry, across a range of fish sizes (0.6–27.3 g) and temperatures (5–31° C). Long term growth experiments were conducted to evaluate performance of the resulting bioenergetics model. Initial bioenergetic simulations of long-term growth experiments indicated large model error for predicted consumption and growth, and a growth rate error (GRE) correction was developed as a function of daily consumption rate (J·g-1·d-1) and water temperature, and included...
thumbnail
This release includes data used to evaluate the structure and function of the Ross Lake and Diablo Lake food webs. This includes data on zooplankton density and production (zooplankton_density.csv and daphnia_region_production_biomass.csv), lake volume estimates used to expand zooplankton density and production data (lake_volume_estimates.csv), fish sampling (FishSampleEvents.csv), fish biological information including diets, age, and stable isotope analysis (FishFullData_formatted.csv, FishPreyLength.csv), scale back-calculations (salmonid_back_calc.csv, rss_back_calc.csv), fish energy density (calorimetry_processed.csv), stable isotope data for invertebrate end members (si_inverts.csv), and hydroacoustic sampling...
thumbnail
This dataset contains the information necessary for bioenergetics modeling of rainbow trout growth in select tributaries to the Upper Skagit River Hydroelectric reservoirs. The diet, invertebrate drift, and size-at-age data used to create modeling inputs is included in csv files. The input data generated for modeling can be found in the folder 'FB4 Upper Skagit Tributaries - Data Release' and includes stream temperatures derived from direct observations, fish size-at-age from scale analysis, and fish diet and stream invertebrate drift data. Output data and log files from our modeling in the associated publication is also included in this folder. Please refer to the associated publication for additional details about...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.