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This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
Current Bioclimate, Projected Future Bioclimate, Projected Change in Future Suitable Bioclimate for the Apacherian-Chihuahuan Semi-Desert Grassland and Steppe CE. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data....
This dataset was developed by the USGS for use in regional climate simulation analyses. These data were applied in the BLM REA analysis for the NGP ecoregion. For more information pertaining to these data and climate modeling, please refer to http://regclim.coas.oregonstate.edu/. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The User is encouraged to carefully consider the content of the metadata file associated with these data.
This map document was created for use in the BLM NGP Rapid Ecoregional Assessment. This map contains the data layers and layout for the change in temperature (September-October) due to climate change. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The User is encouraged to carefully consider the content of the metadata file associated with these data.
This dataset is a raster summarizing the change in suitable bioclimate by looking at the difference between current and A2 2050s. Value coding:-3 = Lost bioclimate; 0 = absence (current and future); 1= maintained bioclimate; 4 = gained bioclimate
This dataset is a raster summarizing the change in suitable bioclimate by looking at the difference between current and A2 2050s. Value coding:-3 = Lost bioclimate; 0 = absence (current and future); 1= maintained bioclimate; 4 = gained bioclimate
Monthly and Annual dataset covering the conterminous U.S., for the years 1905-1919. Contains spatially gridded average mean temperature at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.
This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
This is a StoryMap used to organize a series of web applications related to Alaska wildland fires. Alaska Wildland Fire Information uses a tabbed layout. Each tab as a specific fire-related theme. The five (5) tabs are: Wildland Fires: This tab provides access to a broad suite of information related to wildland fires in Alaska. Lightning: This tab is tailored to show current and recent lightning activity in Alaska and neighboring territories. Fire Spotter: This tab is designed to provided information used on wildland fire detection missions. Reporting and Admin: This tab is designed to provide information commonly incorporated into wildland fire reports. Fire History and Fuels: This tab is tailored to provide information...
Trends measure the magnitude and statistical significance within the recent 32-year timeslice (1981-2012) using a combination of two tests. Theil-Sen slope was used to calculate magnitude of change within the recent timeframe; a Theil-Sen linear regression line is fit to the 32-year time series. The change in the value of this line across the 32-year period indicates magnitude of climate change. The Mann-Kendall test was used to calculate p-values to measure the statistical significance of the magnitude of the 32-year trend. Change was only deemed statistically significant in places where the Mann-Kendall p-value was less than 0.05.
This dataset contains RegCM3 Climate Change modeled April snow water equivalent (mm) data for the Middle Rockies Ecoregion (2050-2069).
This data set contains elevation data and shows potential suitable precipitation ranges for Russian Knapweed in the Middle Rockies Ecoregion.
This dataset contains RegCM3 Climate Change modeled mean November - February temperature (degrees C) data for the Middle Rockies Ecoregion (1980-1999).
Increasing temperatures across the region will cause a lengthening of the growing season and an increase in heat accumulation (measured as summer warmth index) during summer months. These changes could have profound effects on phenology, plant growth, water availability, and species distributions. July temperature isotherms and SWI have been used to help define vegetation distribution and potential for vegetation change across the boreal and arctic biomes. The northern limit of the boreal forest occurs approximately at the 12°C mean July isotherm and a SWI of 35°C mo, and strong linkages have been described between SWI and treeline advance. The southern boundary for the boreal forest occurs at approximately the...
To evaluate the potential effects of climate change on terrestrial communities and tree species we used models of bioclimatic envelopes suitable for terrestrial communities and tree species across the U.S. developed by Rehfeldt et al. 2012. We developed a crosswalk between the biome classification used by Rehfeldt et al. and the terrestrial communities based on LANDFIRE used for the REA. We used the crosswalk to represent the potential changes in bioclimatic envelope for biomes modeled by Rehfeldt et al. for three of the climate change scenarios they evaluated. Climate scenario I using CCCM3. Climate scenario II used GFDLCM21.Climate scenario III used HADCM3. All used emission scenario A2. Time period 2030 represents...
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...
For each variable the per pixel change between the recent time slice (1981-2012) or future timslice (2050s) and the baseline (1900-1980) was calculated, identifying climate “deltas” for each pixel. Recent deltas are 800m resolution and use PRISM as the source dataset. Future deltas are 4km resolution and use ClimateWNA as the source dataset. Delta = later timeslice (recent or future) - baseline. Raster values are expressed in climate units either mm for precipitation or degrees c for temperature. delta ratio values are included for precipitation and CMD, which are ratios of change (1 = no change, < 1 = decreasing, > 1 = increasing).
This dataset contains RegCM3 Climate Change modeled November - February precipitation (mm) data for the Middle Rockies Ecoregion (1980-1999).
Average annual precipitation for 2046-2060 projected by the by 36-member ensemble (16 GCMs with multiple runs of some models, all the runs available for BCSD) driven by the A2 emissions scenario at 1/8 degree latitude-longitude (approximately 12km by 12 km) over the Wyoming Basin and surrounding areas. BCSD data downloaded the "Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections," archived at http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/.
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This file includes a downscaled projection of decadal average of February Snow Day Fraction (in percent) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (February) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days...
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