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Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wildfire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain....
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wildfire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain....
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial...
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial...
Soil residual water corresponds to the model variable "total streamflow." In the model MC1, this is calculated (in cm of water) as the water flowing through the soil profile below the last soil layer (streamflow), water leached into the subsoil (baseflow) and also includes runoff. The output is presented here as a monthly average. Soil residual water is part of the model output from Brendan Rogers' MS thesis work. Brendan used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial...
The Geographic Information Retrieval and Analysis System (GIRAS) was developed in the mid 70s to put into digital form a number of data layers which were of interest to the USGS. One of these data layers was the Hydrologic Units. The map is based on the Hydrologic Unit Maps published by the U.S. Geological Survey Office of Water Data Coordination, together with the list descriptions and name of region, subregion, accounting units, and cataloging unit. The hydrologic units are encoded with an eight-digit number that indicates the hydrologic region (first two digits), hydrologic subregion second two digits), accounting unit (third two digits), and cataloging unit (fourth two digits). The data produced by GIRAS was...
For a description of each map layer, select the Details tab, then select a Layer Name. This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). This dataset quantifies current wildlife habitat connectivity patterns for the Columbia Plateau Ecoregion in Washington, Oregon, and Idaho. Available WHCWG raster data include model base layers, resistance,...
The dataset contains 3 maps that show the current and predicted range of Ponderosa Pine (Pinus ponderosa) in the Pacific Northwest region. The layers include: 1) the species range modeled under current climate conditions for 1950-75 2) a continuous model of the predicted range for 1950-2006 and 3) potential range expansion and contraction from 2000-2009.
Land management practices often directly alter vegetation structure and composition, but the degree to which ecological processes such as herbivory interact with management to influence biodiversity is less well understood. We hypothesized that intensive forest management and large herbivores have compounding effects on early-seral plant communities and plantation establishment (i.e., tree survival and growth), and the degree of such effects is dependent on the intensity of management practices. We established 225 m2 wild ungulate (deer and elk) exclosures nested within a manipulated gradient of management intensity (no-spray Control, Light herbicide, Moderate herbicide and Intensive herbicide treatments), replicated...
Categories: Data;
Types: Citation;
Tags: Oregon,
Pacific Northwest,
biodiversity,
cervidae,
community,
This data release presents baseline datasets of phreatophytic groundwater-dependent ecosystem (GDE) locations in Oregon and trends in physical and environmental factors potentially influencing proximal groundwater supplies. The data release consists of three child items. The child items are: (1) Select Phreatophytic Shrub and Grass Species of Oregon, the Estimated Distribution of Phreatophytic Shrubland and Grassland Across Oregon, and Field Observations used to Constrain Mapped Species Distributions (tabular and raster datasets), (2) Historical Trends in Shallow and Deep Groundwater Levels by Well and 8-Digit Hydrologic Units (HUC8) (1990-2019, 2005-2019, and 2015-2019), GridMET Precipitation and Air Temperature...
To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
Shapefile;
Tags: Bandon,
Bull Island,
Coos Bay,
Grays Harbor,
Nisqually,
To test experimental warming effects, we used and enhanced the Snake River Plain (SRP) Warming Experiment. At Birds of Prey National Conservation Area (BOP NCA), a warming frame and control plot pair were established at five locations along a 4 km distance at 3000’ ASL on loam soils with a mosaic of cheatgrass (Bromus tectorum), Sandberg’s bluegrass (Poa secunda), and biotic soil crusts. This area is relatively disturbed and has high abundances of exotic annual grasses or naturalized restoration grasses. Plot sizes were 2.4 x 2.4 m and were installed in fall 2012. At 4800’ ASL on rocky loam soils in Hollister, five frames were arrayed with paired control plots across a 2 km transect at 4900’ ASL in a Wyoming Big...
Categories: Data;
Tags: Big wyoming sagebrush,
Grasslands and Plains,
Great Basin,
Idaho,
Landscapes,
We conducted vegetation surveys concurrently with elevation surveys at every fourth elevation point (~25% of the elevation points) (Figure 5). We visually assessed percent cover of all plant species within a 0.25 m2 quadrat, and recorded the average and maximum height (measured to the nearest centimeter) of each species. Total plant cover in a plot could exceed 100% due to vegetation layering. Vascular plant nomenclature generally follows Baldwin et al. (2012) and Cook et al. (2013). We located 69 tidal wetland species in 2,154 vegetation plots across the nine estuaries in the study. Common species included Carex lyngbyei, Sarcocornia perennis, Distichlis spicata, Deschampsia cespitosa, Juncus balticus and Potentilla...
To parameterize accretion for SLR models, we measured historic rates of mineral and organic matter accumulation at each site by collecting deep soil cores with a Russian peat borer. At each site, we obtained cores in each of three vegetation zones: low, medium, and high marsh. Two replicate cores were sampled from each station for a total of 6 cores per site (except Coos Bay where 7 cores were taken). Coring locations were determined by RTK GPS elevation and tidal inundation data. Transects for core sampling were determined in ArcGIS, using a digitial elevation model and site-specific tidal datums to choose station locations below MHW (low), between MHW and MHHW (mid), and above MHHW (high). Sediment cores were...
Terrestrial ecosystems are vulnerable to future changes in the global climate, including increased temperatures, changing precipitation patterns, and changes in vegetation. Information on the potential effects of climate change on bird communities can help guide effective conservation and inform land management decisions. We used output from MC2, a dynamic global vegetation model (DGVM), and climate models to inform the potential distribution of vegetation types based on hybrid vegetation maps dervied from the GAP vegetation classification system. These hybrid vegetation models were then used to inform bird distribution models0. The data covers three time periods (1970-1999), (2035-2064), and (2070-2099) for 59...
The following files are designed to be run using the Path Landscape Model software, version 3.0.4. Later versions of the software cannot run these files. To get a copy of this software, please contact Apex RMS at path@apexrms.com. 1) "Path Landscape Mode" folder contains files to be run in the PLM softwarel, version 3.0.4 or later. Path models MUST be run with the provided MCM mulitplier files to apply the required transition probability adjustments for procesess such as insect outbreaks, wildfire, and climate change trends. Each Path database is set up with three folders: - The 'Common' folder contains a single Path scenario (also named 'Common'). The Transitions tab within the Common scenario contains the climate-smart...
Categories: Data;
Types: Downloadable;
Tags: Birds,
Drought, Fire and Extreme Weather,
Fire,
Forests,
Grasslands and Plains,
Environmental DNA results for water samples collected at USGS streamgages in the Columbia and Colorado river basins. Water samples were collected by USGS hydrologic technicians May - September 2018 and analyzed for presence of kokanee and yellow perch DNA. In this dataset, we report results and applicable covariates associated with each streamgage location. This is version 1.1 of this data release. The Kokanee_Perch_eDNA data and metadata files have been revised to correct for improper attribution of 16 samples. For access to previous versions, please contact the Point of Contact identified on this page.
In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Boise,
GPS measurement,
Hypack,
Hysweep,
ID,
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