Filters: partyWithName: Patrick B Shafroth (X)
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With the help of local and regional natural resource professionals, we developed a broad-scale, spatially-explicit assessment of 146 miles (~20,000 acres) of the Colorado River mainstem in Grand and San Juan Counties, Utah that can be used to support conservation planning and riparian restoration prioritization. For the assessment we: 1) acquired, modified or created spatial datasets of Colorado River bottomland conditions; 2) synthesized those datasets into habitat suitability models and estimates of natural recovery potential, fire risk and relative cost; 3) investigated and described dominant ecosystem trends and human uses, and; 4) suggested site selection and prioritization approaches. Here, we make available...
This set of maps shows relative habitat quality for riparian understory species, both with and without a penalty applied for abundant tamarisk. Component layers are included, as are complementary layers of channel boundaries, reaches, and bottomland kilometers.
Geomorphic response in the limitrophe region of the Colorado River to the 2014 delta pulse flow, United States and Mexico On March 23, 2014, a portion of the Colorado River bypassed Morelos Dam, the last dam on the river, and flowed into the dry river channel of the Colorado River delta. This “pulse flow” was the result of an international agreement, Minute 319, which allowed Colorado River water to be stored and released for environmental restoration. The U.S. Geological Survey participated in monitoring effects of the pulse flow, with particular emphasis on the limitrophe reach of the river, which represents the international border for 30 km between Yuma, Arizona, USA and San Luis Rio Colorado, Sonora, MX. Our...
All of the component layers for the Cost of Restoration model. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
Model showing suitability for bat watering habitat. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
Models for Relative Cost of Restoration, Recovery Potential, and Risk of Fire. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
Two models for risk of fire: one for all ignition sources (lightning and human causes), and one for natural causes (lightning ignition only). For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
Final model for restoration potential plus all model component layers. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
Plains or Fremont cottonwood spatial data containing 9 rasters. Each of the rasters represent the following: 1) X1st_random - ensemble of 5 models with random background data and 1st percentile threshold 2) X10th_random - ensemble of 5 models with random background data and 10th percentile threshold 3) MaxSS_random - ensemble of 5 models with random background data and MaxSS threshold 4) X1st_Salix_1st - ensemble of 5 models with random background data and 1st percentile threshold 5) X10th_Salix - ensemble of 5 models with random background data and 10th percentile threshold 6) MaxSS_Salix - ensemble of 5 models with random background data and MaxSS threshold 7) X1st_combined - ensemble of 10 models with random...
The data release presents observations of riparian vegetation, topography, and ground cover in two river reaches of the Upper Colorado River within a river segment extending 208 river kilometers (rkm), from near the Colorado/Utah border to the confluence of the Green River. Methods included field observations and analysis of the plant community five times over eight years in the fall of 2010, 2012, 2013, 2015 and 2017, encompassing a second cycle of biocontrol-induced dieback of invasive Tamarix spp. shrubs. The data release includes four .csv files related to field observations: UTM coordinates of field transects; vegetation, topography and ground surface information at the pinpoint level and at the transect level;...
Categories: Data,
Data Release - Revised;
Tags: Moab,
Salix,
Tamarix,
USGS Science Data Catalog (SDC),
Upper Colorado River,
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...
Categories: Data;
Types: Citation;
Tags: Clallam County,
Elwha River,
Olympic Peninsula,
State of Washington,
Strait of Juan de Fuca,
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...
Categories: Data;
Types: Citation;
Tags: Clallam County,
Elwha River,
Olympic Peninsula,
State of Washington,
Strait of Juan de Fuca,
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.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Clallam County,
Elwha River,
Olympic Peninsula,
Port Angeles,
United States of America,
Model for the potential for restoration. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
This collection of maps shows vegetation cover types that are either Dominant or Common (see project documentation for full methodology in mapping). Sparse cover types are not shown here. All patches have a dominant cover type, but not all have a Common type. Vegetation features were mapped by National Park Service staff; ground-truthing and editing of vegetation data was done by project staff, as was mapping of bare areas and channel features. Associated layers of river channels, reaches, and bottomland kilometers are included for reference.
This data set shows the extent of the Colorado River Conservation Planning project bottomland area as delineated by topography and vegetation, The bottomland area is subdivided into 1 km polygons measured from the upstream project boundary.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
Final model for openland species plus all model component layers. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
All layers used in the risk of fire models. Human ignition sources not used for the Natural Fire model. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
All layers used in the Restoration Potential Model. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
This map shows areas covered by the high flow of the Colorado River mainstem between the Utah Colorado border and the upper pool of Lake Powell, Utah (146 miles). The channel boundary was mapped from public available NAIP imagery flown on June 28, 2011, when the river flow was 886 m3/s at the Cisco gage. Area not covered by 2011 flow is represented by bottomland boundary.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
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