Filters: Types: Map Service (X) > Tags: {"type":"Organization"} (X) > Extensions: Raster (X)
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Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Fragmentation,
Grasslands and Plains,
Greater Wildland Ecosystem,
Housing Density,
LANDFIRE,
Land use change and fragmentation of Fort Peck Greater Wildland Ecosystems (GWE) using LANDFIRE data
Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Fragmentation,
Grasslands and Plains,
Greater Wildland Ecosystem,
Housing Density,
Land Use Land Cover,
Mean modeled snow-water-equivalent (meters) on April 1 for the T2 climate change scenario. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: McKenzie River Basin,
Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
The absolute difference between mean modeled snow-water-equivalent on March 28 for the reference period and mean modeled snow-water-equivalent on March 13 for the T2 climate change scenario, which are the dates of peak basin-integrated SWE for each period, respectively. Reference period: the period 1989 – 2009 for the McKenzie River Basin domain, and 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: McKenzie River Basin,
Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
The threshold raster includes the raw streamflow permanence probability value at a given pixel that represents the estimated critical value to differentiate between wet conditions (above the threshold) and dry conditions (below the threshold). Confidence interval rasters indicate the value above or below the threshold corresponding to the nth percentile of confidence that the pixel is wet (above) or dry (below). Raw streamflow permanence probabilities were produced by the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data Visualization & Tools,
Data Visualization & Tools,
Drought,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: 2061-2080,
Drought, Fire and Extreme Weather,
Fire,
Forests,
Landscapes,
To assess the current topography of the tidal marshes we conducted survey-grade elevation surveys at all sites between 2009 and 2013 using a Leica RX1200 Real Time Kinematic (RTK)Global Positioning System (GPS) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK network coverage (San Pablo, Petaluma, Pt. Mugu, and Newport), 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 (Humboldt, Bolinas, Morro and Tijuana), rover positions were received in real time from a Leica GS10 antenna base station via radio link. When using the base station, we adjusted...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Drought, Fire and Extreme Weather,
Extreme Weather,
Newport Bay,
Sea-Level Rise and Coasts,
Southwest CASC,
We used WARMER, a 1-D cohort model of wetland accretion (Swanson et al., 2014), which is based on Callaway et al. (1996), to examine the effects of three SLR projections on future habitat composition at each study site. Each cohort in the model represents the total organic and inorganic matter added to the soil column each year. WARMER calculates annual elevation changes relative to MSL based on projected changes in relative sea level, subsidence, inorganic sediment accumulation, aboveground and belowground organic matter inputs, soil compaction, and organic matter decomposition for a representative marsh area. Cohort density, a function of soil mineral, organic, and water content, is calculated at each time step...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Drought, Fire and Extreme Weather,
Extreme Weather,
SLR modeling,
Sea-Level Rise and Coasts,
Southwest CASC,
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