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This dataset contains 8 layers showing current and predicted ranges of grand fir (Abies grandis ). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
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.
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...
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.
This package contains 13 polygon layers representing baseline and predicted future climate niches (2050s & 2080s) of Sitka Spruce (Picea sitchensis). 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.
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 dataset represents the average amount of Growing Degree Days (GDD) per year within each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Growing degree days (referenced to 0oC) (unit = deg C days) were determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries. They 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 NM, for a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). The MC1 model...
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 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.
This dataset represents freshwater streams on the Chugach National Forest, Alaska. Streams were digitized from 1:31,380 orthophoto quads. Estuarine channel types may extend beyond shoreline. Selected stream arcs on Cordova Ranger District updated October and November 2002. Presence of fish species and stream class were updated.
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
This dataset contains 8 layers showing current and predicted ranges of Douglas fir (Pseudotsuga menziesii). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
Two future climate change scenarios at a resolution of 0.5 degree latitude/longitude for the conterminous United States were used in the Vegetation Ecosystems Modelling Analysis Project (VEMAP): a moderately warm scenario produced by the general circulation model from the Hadley Climate Centre [Johns et al., 1997; Mitchell and Johns, 1997], HADCM2SUL (up to a 2.8oC increase in average annual U.S. temperature in 2100) and a warmer scenario (up to a 5.8oC increase in average annual U.S. temperature in 2100), CGCM1, from the Canadian Climate Center [Boer et al., 1999a, 1999b; Flato et al., 1999]. Both general circulation models (GCMs) included sulfate aerosols and a fully dynamic 3-D ocean. Both transient scenarios...
This dataset represents the average carbon consumed by fire for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Carbon in biomass consumed by fire, in g m-2 yr-1, 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 budget, and wild fire impacts for OR, WA, OR and WA, for a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). The MC1 model was run using historical data...
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