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These data were compiled for investigating the relationship between acoustic backscattering by riverbeds composed of various riverbed substrates (bed sediment), and for developing and testing a probabilistic model for substrate classification based on high-frequency multibeam acoustic backscatter. The model is described in Buscombe et al. (2017). The data consist of various quantities on coincident grids, from various sites along the Colorado River in Grand Canyon, including water depth, bed roughness, the area (or footprint) of the acoustic beam, unfiltered and filtered backscatter magnitude, sediment classification (for each location, 1 of 5 sediment classes in a categorical scheme), and the probabilities for...
These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index...
These data were compiled to create models that estimate entrainment rates and population growth rates of smallmouth bass below Glen Canyon Dam. Objective(s) of our study were to predict smallmouth bass entrainment rates and population growth under different future scenarios of Lake Powell elevations and management. These data represent parameters needed for associated models and data needed to produce figures. These data were collected from publicly available online sources including published papers and federal government datasets. These data were assembled by researchers from U.S. Geological Survey, Utah State University, Colorado State University, U.S. Fish and Wildlife Service. These data can be used to run...
Lake Powell retains most of the phosphorus that it receives, leading to downstream phosphorus limitation. These data were compiled to examine controls on phosphorus cycling below Lake Powell in the Colorado River and from storm inputs from the Paria River. Objectives of our study were to determine how several forms of phosphorus, both organic and inorganic, were cycled under varying dissolved oxygen concentrations and pH, reflecting the range of values observed in the river over the years. These data represent nitrogen, phosphorus, calcium, and carbon concentrations, water quality parameters (pH, dissolved oxygen, temperature), sediment composition, total protein, and extracellular enzyme activity (alkaline phosphatase)....
These data were compiled for/to modeling efforts for U.S. Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to create revised monthly Lake Powell elevations and outflows from Bureau of Reclamation Colorado River Mid-term Modeling System (CRMMS) traces that incorporate the alternatives in the sEIS documents and indicate when potential actions may occur and how that changes water movement and storage. These data represent monthly hydrologies for Lake Powell: inflow, outflow, and elevation forecasts for 2024-2027, as well as volumes of water in outflows for different water mangement strategies in NEPA supplemental...
These data were compiled for an outreach article published in the Boatman's Quarterly Review, which is a magazine published by Grand Canyon River Guides Association. The objectives of our study was to describe the outcomes of the 2018-2020 Bug Flows experiment to a general audience. These data represent 10 years (2012-2021) of invertebrate data and 100 years (1921-2021) of flow data. These data were collected from the Colorado River in Glen Canyon National Recreation Area and Grand Canyon National Park. These data were collected by recreational river runners through a community science effort where we provided river runners with light trapping equipment to sample emergent aquatic insects each night of their expeditions....
These data are aerial image-derived, classification maps of tamarisk (Tamarisk spp.) in the riparian zone of the Colorado River from Glen Canyon Dam to Separation Canyon, a total river distance of 412 km. The classification maps are published in GIS vector format. Two maps are published: 1) a classification of tamarisk from a 0.2 m resolution multispectral image dataset acquired in May 2009 (Tamarisk Classification 2009), and 2) a classification of tamarisk impacted by the tamarisk beetle (Diorhabda carinulata) from a 0.2 m resolution multispectral image dataset acquired in May 2013 (Beetle Impact Classification 2013). Tamarisk presence in 2009 was classified using the Mahalanobis Distance method with a total of...
These data were compiled to investigate the control of drying on the aeolian transport of river-sourced sand. Objectives of our study were to to examine aeolian sediment transport during a five-day period of low steady river flow on a river sandbar and adjacent aeolian dunefield. These data represent the observed and theoretical threshold fiction velocities for aeolian sediment transport, as well as the grain size, sediment moisture content, surface roughness and other characteristics of the sandbar and sand dune surfaces. These data were collected at a sandbar and aeolian sand dune along the Colorado River approximately 19 km downstream from Glen Canyon Dam at Lees Ferry, Arizona, USA from March 15 to 20, 2021....
This dataset represents 505 campsites along the Colorado River in Grand Canyon with associated debris flow probabilities calculated for approximately a 100-year period (Griffiths and others, 2004) and geomorphic attributes mapped by the U.S. Geological Survey, Grand Canyon Monitoring and Research Center (USGS-GCMRC) (Hadley and others, 2018). The campsite polygons were developed as part of a master campsite database that was a collaborative effort to maintain between the National Park Service in Grand Canyon National Park and the USGS-GCMRC. Debris flow probabilities have been added as an attribute from ungauged tributary watersheds published in 2004 (Griffiths and others, 2004). Area and percentages of campsites...
Categories: Data,
Data Release - In Progress,
Data Release - Provisional;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Colorado River,
Glen Canyon,
Glen Canyon National Recreation Area,
Grand Canyon,
These data are the primary data used to estimate rainbow trout abundance and survival in the Colorado River, Glen and Grand Canyons. Refer to the analyses as per the associated journal manuscript (see Larger Work Citation). Prey availability, feeding efficiency, and competition reduce somatic growth and cause the collapse of a fish population" Nighttime boat electrofishing was used to sample rainbow trout four times per year in April, July, September, and January, from April 2012 through September 2016. A total of five reaches were sampled between Glen Canyon Dam (river kilometer [rkm] 0) to below the confluence with the Little Colorado River (located at rkm 130). Reaches ranged from two to six km in length. A total...
These data were compiled for modeling efforts of Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to forecast water temperature, smallmouth bass population growth rate, and smallmouth bass entrainment rates under different water management scenarios. These data represent forecasted smallmouth bass entrainment rates and smallmouth bass population growth rates. Data were collected in 2023 and 2024 by the Bureau of Reclamation CRMMS and then used by the U.S. Geological Survey-Southwest Biological Science Center-Grand Canyon Monitoring & Research Center in the modeling process. These data can be used to evaluate different...
These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center using mathematical modeling methods.
These data were compiled to assess potential impacts of altered operations of Glen Canyon Dam on riparian plant resources. Objective(s) of our study were to quantify potential responses of specific vegetation metrics. These data represent predicted changes in vegetation metrics based on the data in the Interim Guidelines and LTEMP_SEIS folders. These data were collected in Grand Canyon and Glen Canyon below the dam from 2014-2019. These data were collected by USGS SBSC scientists through ground-based vegetation surveys. These data can be used to predict responses of vegetation metrics only to the specific alterations to dam operations that were simulated.
These data were compiled to test hypotheses regarding drivers of movement of brown trout. Objectives of our study were to test whether the degree of movement varied in response to placement of a weir in Bright Angel Creek, fall timed flooding events, or simply seasonal changes. These data represent summarized capture histories of brown trout in terms of states based on physical locations, data on removal efforts in Bright Angel Creek, and summaries of effort in the mainstem Colorado River. These data were collected at several locations along the Colorado River in Glen and Grand Canyon, including Bright Angel Creek from 2011 to 2018. These data were collected by U.S. Geological Survey, National Park Service, and...
These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is...
These data were compiled to assess physiological responses of plants to short-term changes in streamflow, both increased and decreased. Objective(s) of our study were to determine the degree to which plants with different habitat preferences and functional strategies responded to short-term increases or decreases in the elevation of the water table. These data represent streamflow rates, temperature, and metrics of plant water status. These data were collected in Glen Canyon National Recreation Area from March 13-27, 2021, and collected by the U.S. Geological Survey-Grand Canyon Monitoring and Research Center. Streamflow data were obtained from the Lees Ferry gage station, and temperature data were obtained from...
These data are classified maps of water in the Colorado River at a discharge of approximately 227 meters squared/second in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The water classification data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify water which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and...
These data were compiled to evaluate impacts of different reservoir management scenarios on sand exposure for aeolian landscape and cultural site resources. Objective of our study was to predict areas of dry, bare Colorado River sand as a function of different management alternative scenarios. These data represent predictions of dry, bare sand for the reach of the Colorado River between Glen Canyon Dam and Bright Angel Creek in Grand Canyon National Park. These data were created during 2023 by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to understand how the area of sand available for windblown transport might be impacted different...
These data are records collected from six automated weather stations in operation between January 1, 2014 and December 31, 2015 within the Colorado River Corridor of Grand Canyon National Park and Glen Canyon National Recreation Area. Data collection locations, equipment configurations and methods follow those of the original report (OFR 2014-1247). These files are 4-minute interval data for each of the automated weather stations, tab separated by parameter (wind direction, wind speed, wind gusts, air temperature, relative humidity, barometric pressure, and rainfall). Climatic conditions during the reporting period were warm and dry early in 2014 and transitioned to average to slightly above precipitation from mid-2014...
Dissolved oxygen estimates were generated to help understand how different alternative management scenarios may affect the likelihood of low dissolved oxygen in Glen Canyon Dam releases. The study aimed to examine the effects of different management alternatives on late summer and early fall dissolved oxygen concentrations in Glen Canyon Dam releases. The estimates represent estimates of dissolved oxygen concentration in Glen Canyon Dam releases between August and October of a given year. These estimates were generated using data collected in Lake Powell reservoir as part of a long-term inter-agency water quality monitoring program conducted by the Bureau of Reclamation, the National Park Service, and the U.S. Geological...
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