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These data were compiled to accompany flow modeling work on Kanab Creek near the mouth (USGS gage 09403850). The data include topographic data collected by a remote sensing detection light detection and ranging (LIDAR) system and surveying total station in June 2017, high water marks from six floods from 2011 to 2013, and control points and gage structures. Topographic data include ground topography collected by LIDAR and channel bathymetry collected by total station survey of a 600 meter reach of Kanab Creek, ending at the confluence with the Colorado River in Grand Canyon, Arizona. High water mark data include sets from six floods collected by USGS personnel using total station surveys.
These data are a compilation of four mask layers (regions), and enhanced vegetation indices calculated from airborne or satellite imagery. The mask layers were used created to extract satellite EVI data from the four airborne or satellite imagery datasets. The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites. With the impending decommissioning of the MODIS sensors by the year 2020/2022, alternative platforms will need to be used to estimate EVI. These data were created to compare Landsat 5 (2000–2011), 8 (2013–2016) and the Visible Infrared...
These data were compiled to evaluate pinyon-juniper regeneration dynamics following stand-replacing wildfire and thinning treatments. Objectives of our study were to investigate vegetation community composition and tree recruitment in post-fire and post-thinning environments. These data represent plant and biological soil crust community composition and climatological records among intact, thinned, and burned pinyon–juniper woodlands. These data were collected in Mesa Verde National Park and Ute Mountain Ute Tribal Park from 6/1/2021 to 6/10/2021 and from 03/1/2022 to 11/30/2022 at two burned and two intact pinyon-juniper ecosystems in Mesa Verde National Park only. These data were collected by the U.S. Geological...
These data were compiled to determine whether transient population dynamics substantially alter population growth rates of sagebrush after disturbance, impede resilience and restoration, and in turn drive ecosystem transformation. Data were collected from 2014-2016 on sagebrush population height distributions at 531 sites across the Great Basin that had burned and were subsequently reseeded by the BLM. These data include field data on sagebrush density in 6 size classes and site attributes (seeding year, sampling year, random site designation, elevation, seeding rate). Also included are modeled spring soil moisture data at each site from the year of seeding to sampling. This data release includes associated software...
These are terrestrial laser scanner datasets collected in forested areas west of Flagstaff, Arizona in 2015 and 2016. For each of the two scanners, six treatment areas were scanned, with four of them overlapping one another (Figure 1). These data are composed of individual scans referenced to one another using reflective targets, and geolocated using differentially corrected GPS and RTK locations of scan locations (Figure 3). There were overall large differences in point density among the two scanners (Figure 2).
These NetCDF data were compiled to investigate how two complementary models can contribute to our understanding of contemporary and future big sagebrush regeneration across the historical and potential future sagebrush region. Objective of our study was to apply both models to address three specific objectives: (i) examine the geographic patterns of big sagebrush regeneration probabilities that the two different models project under historical conditions and future climate scenarios; (ii) quantify the robustness of model projections, e.g., the consistency among climate models in projected changes in regeneration for future time periods; and (iii) identify how model predictions for regeneration potential relate to...
These data were compiled to estimate fine-fuel abundance and distribution across the Buenos Aires National Wildlife Refuge in southern Arizona, USA. The objectives of the study were to develop and validate annual estimates of fine fuel (biomass of herbaceous vegetation) for the refuge and to assess changes in fine fuels through time in response to wildfire and prescribed fire. These data represent the amount of herbaceous biomass or fine fuels (kg/ha) present at a 10-m resolution derived from in-situ estimates of ground cover modeled with satellite imagery. These satellite image data were collected over the Buenos Aires National Wildlife Refuge during leaf-on (August) and leaf-off (November) time periods annually...
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...
These data were compiled from six automated weather stations that together provide several points in the meteorological record across a latitudinal and elevational gradient in southeastern Utah. Recorded data from these weather stations are associated with several different studies. Meteorological data are important for quantifying short term weather events as well as longer term climate trends. Spatially separated precipitation gauges allow for better characterization of the heterogeneity of precipitation events. These data were collected from six locations running from north to south in southeast Utah. All of the weather stations use Campbell Scientific data loggers and data are collected daily via telecommunications...
Categories: Data;
Tags: Canyonlands National Park,
Castle Valley,
Kerby Lane,
La Sal Mountains,
Moab,
These data were compiled to evaluate the potential adverse impacts that stocked trout may have on native fish populaitons through predation. Hatchery-reared rainbow and brown trout are typically fed exclusively on commercially prepared pelleted feeds and have no experience catching or consuming life fish at the time of stocking and yet stocked fish are percieved to present a high predation risk for juvenile native fishes. These data were compiled to allow for a relative comparison of predation effectiveness between hatchery-reared fish and wild fish. Mean numbers of prey fish surviving in replicated overnight laboratory predation trials were quantified.
Data was collected to characterize the conditions under which sagebrush occurs after seeding and wildfire in the Great Basin, and used to parameterize models used to explore adaptive seeding approaches. Data includes plot level field data on sagebrush occurrence, density, weather, and soil moisture conditions in the year that seeding after wildfire occurred. Weather data includes both average annual summaries and average weather at 5-day intervals from day 1-250 of the year of seeding. Also included are summaries of annual temperature and soil moisture conditions from 1979 to 2016 and model predictions of the probability of sagebrush establishment in each of these years.
These data were estimated for use in the bioecomomic model simulation of the rainbow trout population in the Colorado River in Marble Canyon. The initial rainbow trout abundance is a vector (RBT_intN) representing the population of rainbow trout within each river segment (151 mile long sergments) along the mainstem of the Colorado River from Lees Ferry to 151 river miles downstream. The movement matrix (MMat) is a distribution that estimates the probability that a rainbow trout wil move to any one of the 151 river segments downstream of Lees Ferry.
This workbook contains spatial data on the hydrology, sedimentology, and vegetation extent within the Colorado River corridor from 60 to 78 miles (97 to 125 kilometers) downstream from Glen Canyon Dam, Arizona. In combination with the accompanying MATLAB scripts, these data were used to generate the results within the accompanying manuscript (Kasprak et al., Quantifying and Forecasting Changes in the Areal Extent of River Valley Sediment in Response to Altered Hydrology and Land Cover). Specifically, the datasets include (a) the daily mean or estimated/measured maximum discharge for the Colorado River at Lees Ferry (USGS #09380000) from 1921 to 2016, (b) the estimated daily maximum discharge for the future period...
These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of BSNEs in a variety of rangelands, 2) BSNEs along downwind edges of unpaved roads where they run perpendicular to the dominant wind direction, and 3) long term BSNE sites used to test imporance of climate trends on aeolian transport. Also included in this data archive are raster files that were created from the BSNE data...
In 2004 U.S. Geological Survey biologists recorded vegetation and biological soil crust (BSC) cover by species as well as measured soil stability and compaction data along 85 transects at the Badger Wash study area in western Colorado. Soil samples were collected and processed for chemistry and texture. Using analysis of variance and nonmetric multidimensional scaling (NMDS) we assessed the cover of vegetation and BSC both grouped by plant physiognomy and dynamic soil properties (soil chemistry/nutrients and stability and compaction) as influenced by the effects of grazing history and soil group (which varied by slope, topographic wetness index and soil properties). Vegetation and BSC cover data were also compared...
These data were compiled to allow examination of northern spotted owl territorial occupancy dynamics, especially with regards to the roles played by habitat and competition with barred owl in past and future dynamics. Data are estimates of parameters derived from previous modelling of northern spotted owl territorial occupancy dynamics. These data were collected as part of monitoring of northern spotted owl demography. Associated code allows analysis of these estimates to understand the roles of competition and habitat in recent northern spotted owl declines and to predict the future of northern spotted owl under various management scenarios.
These data were compiled to accompany flow modeling work on Little Colorado river above the mouth (USGS gage 09402300). The data include topographic data collected by LIDAR and total station in June 2017, high water marks from nine historic floods, and control points and gage structures. Topographic data include ground topography collected by LIDAR and channel bathymetry collected by total station survey of a 2500 meter reach of the Little Colorado River ending near the confluence with the Colorado River. High water mark data were collected by USGS personnel using total station surveys and are divided into nine distinct sets based on elevation profile.
These data were compiled for a mtDNA (CO1 gene) analysis of net-spinning caddisflies (Hydropsyche oslari) in the Colorado River Basin of the western United States. They were incorporated in a study that investigated the genetic diversity and population structure of H. oslari relative to the river network structure in the Upper and Lower Colorado River Basins. The data were collected from 2015 to 2016 through a collaboration with river runners. These citizen scientists collected insects by deploying light traps for one hour each night of their expedition. Light trap contents were preserved in ethanol on site and returned to the Southwest Biological Science Center in Flagstaff, Arizona for analysis in the laboratory.
The Large River Monitoring Forum compiled fish assemblage data for five large rivers in the U.S. as a part of a coordinated effort to compare and contract river monitoring efforts in large river systems. Fish community data from five monitoring programs were integrated to create the standardized dataset. Authors: Timothy D. Counihan1, Ian R. Waite2, Andy Casper3, David Ward4, Jennifer Sauer5, Elise Irwin6, Colin Chapman7, Brian Ickes5, Craig Paukert8, John Kosovich9, and Jennifer M. Bayer10 1- United States Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, 5501A Cook-Underwood Road, Cook, WA 98605; email:tcounihan@usgs.gov; Phone:509-538-2299; Fax:509-538-2843 2- United States...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado River,
Columbia River,
Fish,
Fish Assemblages,
Fish Community Analysis,
These data were compiled to support and inform the Bureau of Land Management’s Colorado Plateau Native Plant Program and to guide future management action when selecting regions to collect and increase seed for native plant materials development. The objective of our study was to develop geospatial datasets to aid land managers and restoration practitioners in identifying areas that will need to be restored in the future (currently disturbed) as well as areas to source new native plant materials for propagation with increased climate similarity to these areas across the Colorado Plateau, Arizona/New Mexico Mountains, and Arizona/New Mexico Plateaus. These data represent species distribution models for 12 high priority...
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