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The dataset supports a larger study that examined the impacts of three tackifiers (guar, psyllium, and polyacrylamide) on growth of two dryland mosses (Bryum argenteum and Syntrichia ruralis). Moss fragments were grown in petri dishes and subjected to individual tackifiers in one of three possible concentrations (0.5x, 1x, or 2x) of the respective manufacturer's recommended application rate. Distilled water was used as a control treatment, giving a total of ten treatments (nine tackifier-concentration combinations and a water control). Bryum fragments were watered four times daily for six weeks and Syntrichia fragments were watered twice daily for five weeks, after which the experiments were concluded. Shoot length,...
Fifteen fires from the Chronosequence dataset (see Knutson et al. 2014) were visited in 2012 and 2013 and surveyed for cover of lichens and mosses. Fires were selected to cover the range of average precipitation for each of three water years following fire, fire severity, time since fire, season of ignition, total acres burned and grazing intensity. Cattle grazing was characterized by distance from water sources for cattle, cow dung density counts and Animal Unit Months from the Rangeland Administration System of the Bureau of Land Management. Fire was characterized by whether or not a site burned, time since fire, the area burned, and an estimated amount of shrub cover consumed by the fire as compared to seemingly...
Data includes satellite derived pre-fire functional group cover of annual and perennial herbaceous, shrubs, bareground and litter across four rangeland megafires in the Western US, as well as field estimated invasive annual grass measurements from the 2nd to 3rd years post-fire. Additional landscape and restoration treatment covariates hypothesized to influence post-fire invasive annual grass cover are included.
This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and medusahead (Taeniatherum caput-medusae. The dataset was generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; Harmonized...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Great Basin,
Harmonized Landsat Sentinel,
Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2023 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate the ramifications of future change across the western US, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emissions scenarios...
The rasters in this dataset represent modeled outputs of potential fire connectivity and relative flow patterns in the Great Basin. We define ‘fire connectivity’ as the landscape’s capacity to facilitate fire transmission from one point on the landscape to another. We applied an omnidirectional circuit theory algorithm (Omniscape) to model fire connectivity in the Great Basin of the western United States. We used predicted rates of fire spread to approximate conductance and calculated current densities to identify connections among areas with high spread rates. We calculated the cumulative current density as well as normalized cumulative current density, with the outputs included here as raster data.
This data release supports interpretations of field-observed root distributions within a shallow landslide headscarp (CB1) located below Mettman Ridge within the Oregon Coast Range, approximately 15 km northeast of Coos Bay, Oregon, USA. (Schmidt_2021_CB1_topo_far.png and Schmidt_2021_CB1_topo_close.png). Root species, diameter (greater than or equal to 1 mm), general orientation relative to the slide scarp, and depth below ground surface were characterized immediately following landsliding in response to large-magnitude precipitation in November 1996 which triggered thousands of landslides within the area (Montgomery and others, 2009). The enclosed data includes: (1) tests of root-thread failure as a function of...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Botany,
Forestry,
Geomorphology,
Oregon,
Soil Sciences,
This data release provides access to a low-altitude aeromagnetic survey flown over a part of the Cascade Range of the US Pacific Northwest, approximately centered over the town of Cascade Locks, Oregon. The Cascade Locks magnetic survey encompasses two large stratovolcanoes of the Cascade Range: Mt. Hood (3426 m) in Oregon and Mt. Adams (3742 m) in Washington. Data were acquired between October 17, 2021, and February 26, 2022, by KBM Resources Group, Thunder Bay, Ontario, Canada, working under contract to the U.S. Geological Survey. The survey is underlain by a diverse magnetic terrane, including Miocene flood basalts of the Columbia River Basalt Group and Tertiary to Quaternary volcanic and intrusive rocks of the...
Categories: Data;
Tags: Cascade Range,
Cascadia,
Clackamas County,
Clark County,
Columbia River Gorge National Scenic Area,
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
This dataset provides details from stream metabolism models for 20 stream sites in the United States that were sampled as part of the National Water Quality Program's Regional Stream Quality Assessments (RSQA). Metabolism was estimated at each site using the streamMetabolizer package in R. For each of the 20 sites, three files are provided; (1) the input data, which includes continuous dissolved oxygen, water temperature, light, and stream depth, (2) the output data containing the daily metabolism estimates, and (3) a site-specific html 'guide' for running the streamMetabolizer package in R. The site 'short_name' is included in each file name to distinguish the files associated with each field site. Final metabolism...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Connecticut,
Georgia,
Illinois,
Indiana,
Iowa,
This table is a crosswalk or lookup table that classifies rock type (surface geology) by its permeability, or the ability to pass substances, such as liquids or gases. The rock types that are classified are located in the Northwest U.S. -- Oregon, Washington, Idaho, Utah, Nevada, Wyoming, and Montana.
Data includes head smut infection level (caused by the fungal pathogen, Ustilago bullata) on cheatgrass (Bromus tectorum) and cheatgrass cover for plots measured annually during the first four years after the 2015 Soda wildfire. Additional landscape and weather covariates that are hypothesized to influence infection and host density are included.
This dataset contains observations used to better understand the initial establishment of sagebrush (Artemisia sp.), in the first 1-2 years post-wildfire. Field data come from 460 sagebrush populations sampled across the Great Basin and many GIS-derived co-variates are included as well.
In 2015, approximately 10 million acres of Federal lands across six western states were proposed for withdrawal from mineral entry by the Bureau of Land Management (BLM) in order to conserve habitat critical for the greater sage-grouse. As a result, the U.S. Geological Survey (USGS) launched the Sagebrush Mineral-Resource Assessment (SaMiRA) project in late-2015 to provide BLM with an assessment of the locatable minerals and an evaluation of the leaseable and saleable minerals within the proposed withdrawal areas. BLM provided Legacy Rehost 2000 System (LR2000) spatial data to the USGS on March 6, 2016 to help identify areas containing mineral leases and claims. The LR2000 system reports BLM land and mineral-use...
To quantify the potential for landward migration at the estuary level, we developed a geospatial dataset for the conterminous United States (CONUS) that identifies the boundaries for estuarine drainage areas. Nine estuarine drainage areas in south Florida were delineated using data developed by the South Florida Water Management District (SFWMD 2018). For the rest of CONUS, we used information contained within the National Fish Habitat Action Plan (NFHAP) - Coastal Spatial Framework (CSF) (National Centers for Coastal Ocean Science 2021). The original NFHAP-CSF data included 612 drainage areas, which were too many for our purposes. Therefore, we merged smaller drainage areas with larger, adjacent drainage areas...
We quantified the potential area available for landward migration of tidal saline wetlands and freshwater wetlands due to sea-level rise (SLR) at the estuary scale for 166 estuarine drainage areas and at the state scale for 22 coastal states and District of Columbia. We used 2016 Coastal Change Analysis Program (C-CAP) data in combination with the future wetland migration data under the 1.5 m global SLR scenario to evaluate the potential for wetland migration into all the individual C-CAP classes and into the following six land cover categories: (1) freshwater forest (wetland); (2) freshwater marsh (wetland); (3) terrestrial forest (upland); (4) terrestrial grassland (upland); (5) agricultural croplands (upland);...
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
Rangelands have immense inherent spatial and temporal variability, yet assessments of land condition and trends are often assessed relative to the condition of a limited number of representative points. Ecological Potential (EP) data are spatially comprehensive, quantitative, and needed as a baseline for comparison of current rangeland vegetation conditions, trends, and management targets. We define EP as the potential fractional cover of vegetation components bare ground, herbaceous, litter, shrub, and sagebrush represented in the least disturbed and most productive portion of the western U.S. This dataset enables: 1) setting realistic expectations for restoration and management targets at 30-meter resolution,...
This data represents occupancy predictions for western bumble bee in 2020 across the western conterminous United States. This product is a 30-meter resolution downscaled version of previously published occupancy layers for the western bumble bee. For more information on original publications, see the publication listed in the Larger Works Cited Section.
The Gap Analysis Project (GAP) Analytical Database represents a synthesis of three core datasets for the conterminous U.S. Specifically 1) the GAP/LANDFIRE National Terrestrial Ecosystems_2011; 2) the Protected Areas Database of the United States (PAD-US) 1.4; and 3) the Species Ranges and Habitat Distribution Models for all terrestrial vertebrates. This database provides a mechanism to effiiently obtain summary statistics of those for a variety of spatial extents, including US states, US counties, Landscape Conservation Cooperation Network Areas, EPA's Level III-IV Ecoregions of the United States, and Level I-III Ecoregions of North America and 12-digit (6th level) hydrologic units. Disclaimer for Approved Database...
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