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We assessed habitat suitability for salmonids across selected tributaries upstream from three hydroelectric dams on the upper Skagit River in Whatcom County, northern Washington. We used NetMap, a commercial toolset within the ArcMap geographic information system (GIS), to analyze stream attributes based upon a synthetic stream channel network derived from digital elevation models. The GIS-derived stream attributes—including gradient, bankfull width, valley width index, elevation, and stream flow—allowed us to examine the spatial distribution and relative quality of spawning and rearing habitat for salmonids based on existing intrinsic potential (IP) models. As a first step, we created maps of potential anadromous...
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This portion of the data release presents fish abundance data from samples collected in the Elwha River estuary, Washington, in 2006, 2007, 2013, and 2014 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We used the Puget Sound beach seining protocol (Simenstad and others, 1991) to sample fish populations in the Elwha River estuary complex. The beach seine was 38 m long x 2 m deep, with a 2 m x 2 m bag in the center of the net; mesh size was 3.18 mm, 6.35 mm, and 31.75 mm, for the bag, center panel, and wings, respectively. The seine net was deployed from bank to bank by a small skiff and then pulled on shore. The number of...
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This portion of the data release presents terrestrial invertebrate abundance data from samples collected in emergent and shrub vegetation along the edge of the Elwha River estuary, Washington, in 2007 and 2013 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We deployed terrestrial insect fallout traps at ten locations in the east estuary, five replicates each in shrub and emergent (littoral) vegetation habitats. Clear, rectangular traps (2,400 cm2 in 2007 and 3,526 cm2 in 2013) were filled with 5 cm of filtered soapy water and deployed for 72 hours. Invertebrate counts from 2013 were standardized to the 2007 bin size to account...
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We collected environmental DNA (eDNA) data from the Elwha River, home to the world’s largest dam removal project, to track the spatial and temporal patterns of species responses following dam removal. In total, we collected data for 11 different fish taxa, sampled at 25 sites ranging across 56 river kilometers in a wilderness river for 4 years following dam removal. We show that eDNA can effectively be used to determine whether fish have recolonized past former dams, and in some cases determine the spatial extent of that recolonization.
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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...
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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.
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This portion of the data release presents riparian plant species abundance (percent cover) data from plots sampled in the Elwha River estuary, Washington, in 2007 and 2014. In August 2007, we established 21 vegetation plots within the study area in a stratified random fashion, with three to five plots in five of the vegetation cover types denoted in the habitat classification maps: mixed riparian forest, willow-alder forest, riparian shrub, emergent marsh/marsh-shrub transition, and dunegrass. Each plot was 100 square meter, usually 10 m x 10 m, but in areas where the vegetation patch was narrow, plots were either 4 m x 25 m or 5 m x 20 m. We visually estimated percent cover by species of all vascular plants within...
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 28 August 2014 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (5-8 September 2014) for areas < MHHW and aerial lidar surveys (7 November 2014) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (30 September 2014) for elevations > MHHW.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 11 September 2009 1 meter resolution NAIP aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (17 September 2009) for areas < MHHW and aerial lidar surveys (4-6 April 2009) for elevations > MHHW.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 26 August 2013 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (16 September 2013) for areas < MHHW and aerial lidar surveys (17 October 2012) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (19 September 2013) for elevations > MHHW.
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This portion of the data release presents riparian plant species richness (number of unique taxa) data from plots sampled in the Elwha River estuary, Washington, in 2007 and 2014. In August 2007, we established 21 vegetation plots within the study area in a stratified random fashion, with three to five plots in five of the vegetation cover types denoted in the habitat classification maps: mixed riparian forest, willow-alder forest, riparian shrub, emergent marsh/marsh-shrub transition, and dunegrass. Each plot was 100 square meters, usually 10 m x 10 m, but in areas where the vegetation patch was narrow, plots were either 4 m x 25 m or 5 m x 20 m. We visually estimated percent cover by species of all vascular plants...
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We conducted a study to test the factors related to detectability of two invasive aquatic plants (Egeria densa and Myriophyllym spicatum) using environmental DNA (eDNA), over extended periods of time, and specifically examined how plant growth stage and abundance relates to eDNA detection in semi-natural and natural conditions. This dataset is from sampling performed in summer of 2018 in lakes with varying species abundances, and a subset of lakes were re-sampled to test temporal variability in detection.
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This portion of the data release presents water column dissolved nutrient concentration data and water quality parameters from samples collected in the Elwha River estuary, Washington, in 2006, 2007, 2013, and 2014 (USGS Field Activities L-15-13-PS, L-24-13-PS, T-R5-13-PS, T-R6-13-PS, T-RA-14-PS, 2014-614-FA, 2014-628-FA, 2014-633-FA, 2014-666-FA). Water column samples were collected by hand in acid-washed opaque bottles from multiple locations. Water quality was measured using a handheld Hydolab Data Sonde 4a. The locations of water sample collections were determined with a hand-held global positioning system (GPS). The water samples were filtered through GF/F filters immediately after collection. The filtrate...
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This portion of the data release presents sediment grain-size data from samples collected in the Elwha River estuary, Washington, in July 2013 and June 2014 (USGS Field Activities L-15-13-PS and 2014-628-FA). Surface sediment was collected from one location in 2013 and five locations in 2014 using a using a push core. The locations of grab samples were determined with a hand-held global positioning system (GPS). The cores were split into one- to three-centimeter sections. The grain-size distributions of samples were determined using standard techniques developed by the USGS Pacific Coastal and Marine Science Center sediment lab. Size fractions are defined as gravel (> 2 mm), sand (63 micron to 2 mm), silt (4 micron...
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This portion of the data release presents aquatic invertebrate abundance data from samples collected in the Elwha River estuary, Washington, in 2007 and 2013 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). Replicate benthic samples were collected at 18 locations throughout the estuary complex using a petite Ponar grab sampler (appx. 2400 mL sample) and sorted through a 500-micron sieve. Samples were fixed in 10 percent formalin for 3 to 5 days before being transferred to 70 percent ethanol until processing. Individuals were identified to the lowest possible taxonomic resolution, but are grouped according to insect Orders in...
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Estuary vegetation cover delineated from 3 September 2011* 0.3-meter-resolution aerial imagery (Microsoft/Digital Globe) at a scale of 1:1500. *Image date of 3-Sep corrected in metadata. During product generation the imagery date was believed to be 8-25-2011, as reported by DigitalGlobe reseller.
map background search result map search result map Aquatic invertebrate abundance in the Elwha River estuary, Washington, in 2007 and 2013 Fish abundance in the Elwha River estuary, Washington, from 2006 to 2014 Sediment grain size in the Elwha River estuary, Washington, from 2013 and 2014. Terrestrial invertebrate abundance in the Elwha River estuary, Washington, in 2007 and 2013. Water quality in the Elwha River estuary, Washington, from 2006 to 2014. Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2013 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Vegetation habitat units derived from 2009 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2011 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2012 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2014 aerial imagery and field data for the Elwha River estuary, Washington Riparian vegetation abundance (percent cover) in the Elwha River estuary, Washington, in 2007 and 2014 Riparian vegetation species richness in the Elwha River estuary, Washington, in 2007 and 2014 USGS Dam Removal Science Database v4.0 Detection of invasive aquatic plants Myriophyllum spicatum and Egeria densa in lakes using eDNA, field and mesocosm data Environmental DNA (eDNA) is an Effective Tool to Track Recolonizing Migratory Fish Following Large-Scale Dam Removal, field data Compilation of cost estimates for dam removal projects in the United States Upper Skagit River intrinsic potential results Terrestrial invertebrate abundance in the Elwha River estuary, Washington, in 2007 and 2013. Riparian vegetation abundance (percent cover) in the Elwha River estuary, Washington, in 2007 and 2014 Riparian vegetation species richness in the Elwha River estuary, Washington, in 2007 and 2014 Water quality in the Elwha River estuary, Washington, from 2006 to 2014. Fish abundance in the Elwha River estuary, Washington, from 2006 to 2014 Aquatic invertebrate abundance in the Elwha River estuary, Washington, in 2007 and 2013 Sediment grain size in the Elwha River estuary, Washington, from 2013 and 2014. Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2012 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2014 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2011 aerial imagery and field data for the Elwha River estuary, Washington Vegetation habitat units derived from 2009 aerial imagery and field data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2013 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Upper Skagit River intrinsic potential results Detection of invasive aquatic plants Myriophyllum spicatum and Egeria densa in lakes using eDNA, field and mesocosm data USGS Dam Removal Science Database v4.0 Compilation of cost estimates for dam removal projects in the United States