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This dataset represents the average maximum annual value of total vegetation carbon for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Mean maximum annual value of total vegetation carbon, in g m-2, 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, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). The MC1 model...
This dataset represents the average net primary production for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Mean net primary production (in g m-2 per yr), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. 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 NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). The...
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 ECHAM5 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...
Climate data (Average Seasonal Precipitation for Jan-Mar for 1968-1999) were created by PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) on a 2.5 arc-minute lat-lon grid. They are based on historical observations from 1968-1999. We created mean monthly climatologies for that period from the PRISM data, and reprojected the results to the BLM Albers 4km grid. We used these results as a historical baseline climate to de-bias RegCM3 projections. We also compiled annual and seasonal summaries of precipitation and temperature from the PRISM data to allow for simple comparisons with other climatologies.
This package contains 13 polygon layers representing baseline and predicted future climate niches (2050s & 2080s) of Grand fir (Abies grandis). 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 MPA Inventory is a comprehensive catalog that provides detailed information for existing marine protected areas in the United States. The inventory provides geospatial boundary information (in polygon format) and classification attributes that seek to define the conservation objectives, protection level, governance and related management criteria for all sites in the database. The comprehensive inventory of federal, state and territorial MPA sites provides governments and stakeholders with access to information to make better decisions about the current and future use of place-based conservation. The information also will be used to inform the development of the national system of marine protected areas as required...
MAPS Station information: • Geographic locations and operating history of MAPS stations operated during the years 1989-2003. • A Microsoft Word document stations.doc describes field names
Percent change in carbon consumed by fire 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. 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,...
Percent change in the average annual amount of live tree carbon 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 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. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Units are grams per square meter, and percent change was calculated as (C_Forestyr(2071-2100) minus C_Forestyr(1971-2000))...
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 wetlands on the Chugach National Forest, Alaska. The underlying data were received from US Fish and Wildlife Service. Wetlands interpreted stereoscopically and transferred to USGS base maps at 1:63,360 scale. Field verification/ground truthing in 8/79, 6/84, 8/85, 8/87, 6/88, 8/90. Total ground truthing time for the Chugach was 5 weeks. Coverage for the Chugach is only about 95% complete. There are no plans at this time to map these areas.
A water right is a legal right to use surface or ground water under the Alaska Water Use Act (AS 46.15). A water right allows a specific amount of water from a specific water source to be diverted, impounded, or withdrawn for a specific use. When a water right is granted, it becomes appurtenant to the land where the water is being used for as long as the water is used. If the land is sold, the water right transfers with the land to the new owner, unless the Department of Natural Resources (DNR) approves its separation from the land. In Alaska, because water wherever it naturally occurs is a common property resource, landowners do not have automatic rights to ground water or surface water. For example, if a farmer...
MAPSS vegetation classes for Oregon and Washington, USA
A combination of remote sensing and ecosystem modeling is used to examine the trends in NEP and net ecosystem carbon balance (NECB) in this region over the 1985 - 2007 period, with particular attention to land ownership since management now differs widely between public and private forestland. In the late 1980s, forestland in both ownership classes was subject to high rates of harvesting, and consequently the land was a carbon source (i.e. had a negative NECB). After the policy driven reduction in the harvest level, public forestland became a large carbon sink driven in part by increasing NEP whereas private forestland was close to carbon neutral.
These datasets represent the projected future majority vegetation type (30 year mode), for each HUC5 watershed, simulated by the model MC1 for the 30-year period 2071-2100. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Majority vegetation type was determined for each HUC5 watershed by calculating the 30 year mode from original ~ 4 km raster data. 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...
This dataset represents the average maximum annual value of total vegetation carbon for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Mean maximum annual value of total vegetation carbon, in g m-2, 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, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). The MC1 model...
Simulated Surface Runoff Change 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 ECHAM5 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)...
Percent change in the average annual maximum vegetation carbon 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 maximum total vegetation carbon 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. Units are grams per square meter. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water...
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).
Percent change in Growing Degree Days (GDD) 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. 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...
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