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Vegetation types from Kuchler (1975) potential vegetation map were aggregated into 35 classes as part of the VEMAP project (Vegetation/Ecosystem Modeling and Analysis Project, Kittel et al. 1995). Functional vegetation types were reclassified (grouped in ArcMap) by the Conservation Biology Institute to reflect the classification scheme used by Brendan Rogers.
Fish distribution in Umpqua National Forest. The cover was built at two locations and by two people. Cottage Grove prepared the Cottage Grove district fish distribution and the Supervisors office prepared the fish distribution for Tiller, North Umpqua, and Diamond Lake districts. The SO then merged the two layers together. The fish distribution layer was developed using the existing stream layer, then identifying those streams and stream breaks for each fish species. The streams that don't have any fish distribution were deleted fom the layer. Arcview was the program used to create the layer utilizing heads-up digitizing to identify the breaks. This cover was built at a map scale of 1:24000.
Evolutionarily Significant Unit (ESU) boundaries for Anadromous fish within the Western Oregon Plan (WOPR) Revision project area. Shows areas where species is a candidate or non-warranted along with threatened or endangered.BLM (Bureau of Land Management) WOPR (Western Oregon Plan Revision) FSH (Fish) PRMP (Proposed ResourceManagement Plan) ESU (Environmental Significant Unit) NOAA (National Oceanic and Atmospheric Administration) This data is a PRMP release version of the data fsh_as_a_steelhead_esu_poly.
The Monthly Projected Soil Moisture at Bottom Layer (SMBT) data sets are part of the downscaled global climate models created for the 2008 California climate change assessment. These files are made from daily data and are monthly mean values in millimeters. SMBT layers have been created through a Bias Corrected Statistical Downscaling (BCSD) approach and are currently available for the cnrmcm3, gfdlcm21, ncarccsm3, and ncarpcm1 models under the A2 and B1 scenarios. The BCSD data cover 31.9375N to 43.9375N and 124.5625W to 113.0625W. The VIC grid is a 1/8th degree grid so this makes a "box" of 93 longitudes by 97 latitudes. The VIC computations are done over land only. For the 93x97 box there would be a total of...
The Towboat reserves were put in place at the request of the Council of Marine Carriers (CMC) to protect harbours along the BC Coast to ensure harbours of refuge (temporary shelter during inclement weather or when waiting for favorable tides) remained available for commercial marine traffic - eg. tugs towing booms and barges up and down the coast. These harbours needed to be of adequate size, be located along commercial navigation routes and provide adequate shelter to accommodate the tug and the load being towed. Certain harbours were identified as critical harbours because they meet the size, location and shelter criteria required. To ensure the harbour remains available as a harbour refuge, shoreline development...
The British Columbia Marine Conservation Analysis (BCMCA) is a collaborative project assembling and analyzing spatial information about Canada's Pacific Ocean. The overall goal of the BCMCA is to identify marine areas of high conservation value and marine areas important to human use. Results of the project are intended to inform and help advance marine planning initiatives in BC by providing collaborative, peer-reviewed scientific analyses based on the best ecological and socio-economic spatial data at scales relevant to a BC coast-wide analysis.
This data represents the location of coastal British Columbia coastal campsites, kayak use sites and kayak staging areas.
This set of files includes downscaled projections of decadal means of annual mean temperatures (in degrees Celsius, no unit conversion necessary) for each decade from 1910 - 2006 (CRU TS 3.0) or 2009 (CRU TS 3.1) at 771x771 meter spatial resolution. Each file represents a decadal mean of an annual mean calculated from mean monthly data. The spatial extent includes Alaska. Each set of files originates from the Climatic Research Unit (CRU, http://www.cru.uea.ac.uk/) TS 3.0 or 3.1 dataset. TS 3.0 extends through December 2006 while 3.1 extends to December 2009. ============================= Downscaling: These files are bias corrected and downscaled via the delta method using PRISM (http://prism.oregonstate.edu/)...
This set of files includes downscaled projections of decadal means of monthly mean temperatures (in degrees Celsius, no unit conversion necessary) for each month of every decade from 2010 - 2100 (see exceptions below) at 771x771 meter spatial resolution. Each file represents a mean monthly mean in a given decade. The spatial extent includes Alaska. ========= Overview: Most of SNAP’s climate projections come in multiple versions. There are 5 climate models, one 5 model average, 3 climate scenarios, 12 months, and 100 years. This amounts to 21,600 files per variable for monthly data. Some datasets are derived products such as monthly decadal averages or specific seasonal averages, among others. This specific dataset...
Climate data (NCEP: Average Annual Temperature, 1968-1999) have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET web site (http://users.ictp.it/RegCNET/model.html), and the ICTP RegCM publications...
This dataset depicts the Difference for Average Summer Temperature for Jul-Sep for 2045-2060 compared to 1968-1999 for GFDL. These data have been generated using a regional climate model called RegCM3 using boundary conditions from observations or general circulation models for historical conditions, and from GCM projections for future conditions. Regional climate model description: RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET...
Change in the majority generalized vegetation type for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Majority generalized vegetation type was determined for each HUC5 watershed from from original ~ 4 km raster data. Generalized vegetation types were assigned by combining detailed MC1 vegetation classes into four general catagories: desert, grassland, shrubland, and forest. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background:...
This dataset represents the average amount of live tree carbon for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Simulated mean live forest carbon (output variable C_Forestyr in MC1 version B60, which includes both above and below-ground tree carbon) was determined for each HUC5 watershed. Units are grams per square meter. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and...
Percent change in the mean area burned per year (per ~4 km pixel) for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Mean area burned per year per ~4 km pixel (in square meters), was determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water...
Simulated Surface Runoff by the biogeography model MAPSS using S. Hostetler's (USGS) climate data (detailed information available at http://regclim.coas.oregonstate.edu/domains.html), created using RegCM3 with GFDL boundary conditions. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well...
This dataset contains all National Forest Inventoried Roadless Areas (IRAs) for the Alaska Region (R10). The IRA data was originally submitted to GSTC by all national forests through their Regional Offices for the Forest Service's Roadless Area Conservation Initiative. The data was consolidated at the GSTC and used in the Draft Environment Impact Statement. Between the draft and final stages of the Environmental Impact Statement, the data was updated by the forests to reflect any corrections to Inventoried Roadless Areas that were based on their existing forest plan. The data was also supplemented to include Special Designated Area information and to include Inventoried Roadless Areas within Special Designated...
This data series contains 2868 temporal datasets.These data are climate model outputs that have been downscaled to 4-km spatial resolution using the Bias Corrected Statistical Downscaling (BCSD) method. Moore and Walden have modified the BCSD method described by Wood et al (2002), Long-range experimental hydrologic forecasting for the eastern United States. Journal of Geophysical Research-Atmospheres 107: 4429-4443 and Salathe (2005), Downscaling simulations of future global climate with application to hydrologic modeling. International Journal of Climatology 25: 419-436. The modifications include a different interpolation scheme between GCM grid cells and a different approach to dealing with extreme values (Z-scores...
For his MS thesis, Brendan Rogers 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 grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
This package contains 13 polygon layers representing baseline and predicted future climate niches (2050s & 2080s) of Pacific silver fir (Abies amabilis). The modeling algorithm Maxent and the Worldclim predictor set have been used to compute niche projections under two emission scenarios (A1B & A2A) based on three general circulation models (CSIRO, CCCMA & HADCM3). The shapefiles are derived from gridded model outputs with a grid cell resolution of 30 arc-seconds.
The Humpback Shrimp catch grid dataset has been assembled directly from the Shellfish Data Units harvest log database located at the Pacific Biological Station (PBS). The dataset has been modified to meet the sensitive nature of the data as per the Access to Information Act20(1)(b,c); which specifies that Fisheries and Oceans Canada will not disclose to a third party confidential information that may prejudice the competitive position of the fisher, in which fishing location has been identified as one of the entities to be protected. There was a 10km x 10km grid used in the desensitization process as well information was limited to total Effort (kilometre) and total Catch (lbs). The dataset is comprised of Humpback...
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