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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.
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 mean Day of Thaw (in ordinal dates) for the decade 2060-2069 at 771x771 meter spatial resolution. Day of Thaw approximates when the running mean rises above 0°C. Although raster values represent ordinal dates, the values 0 and 365 are special classes. A value of 0 indicates...
This shapefile includes projections of annual area burned, fire return interval, and percent forest (current decade only) for the current (2010s), near-term (2020s) and long-term (2050s and 2060s) decades, for the A2 emissions scenario, for 3rd level HUCs within the YKL REA study area. Values were obtained by running 100 repetitions of the Alaska Frame-Based Ecosystem Code (ALFRESCO) model for the top five performing global climate models in the Arctic at a 1x1 km resolution. These outputs were then averaged together to determine the composite, 5 model average, the decades of interest extracted, and the resulting table exported as a shapefile. For background on ALFRESCO, please refer to: Is Alaska's Boreal Forest...
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 winter (December, January, February) total precipitation (in millimeters) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A1B emissions scenario. The...
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 winter (December, January, February) total precipitation (in millimeters) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A2 emissions scenario. The...
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 summer (June, July, August) total precipitation (in millimeters) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean of seasonal totals calculated from monthly totals, using the A2 emissions scenario. The spatial extent...
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 March Snow Day Fraction (in percent) for the decade 2060-2069 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (March) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days in a month...
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 October Snow Day Fraction (in percent) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (October) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days in...
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 May Snow Day Fraction (in percent) for the decade 2050-2059 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (May) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days in a month...
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. - Change in mean July temperature provides an assessment of potential future change in the hottest month. Although temperature changes appear more drastic during winter months, changes in summer temperature may have greater impacts on some CEs. The change in decadal mean July temperature was developed by subtracting the current...
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 October Snow Day Fraction (in percent) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (October) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days in...
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 May Snow Day Fraction (in percent) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly (May) averages, using the A2 emissions scenario. Snow Day Fraction is the percentage of days in a month...
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 annual total precipitation (in millimeters) for the decade 2010-2019 at 771x771 meter spatial resolution. The file represents a decadal mean of annual totals calculated from monthly totals, using the A1B emissions scenario. It is clipped to the YKL REA study...
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).
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.
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).
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 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 simple assessment layer is used to answer management questions (MQs) about which high biodiversity sites (HBS) will experience significant climate change in the near future scenario in the Mojave Basin and Range Ecoregion. This is a basic intersect of areas that will likely experience significant climate change effects with the areas that have been identified by previous 3rd party analyses as having extraordinary biodiversity. It does not model actual response or condition of the HBS to climate change. Nearly all HBS in the ecoregion will experience significant effects according to the criteria that were selected. The climate space trends data layer was used to ascertain areas of significant climate changes....
Some of the NOS 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 Snow Day Fraction (%) for the decades 2010-2019, 2020-2029, and 2060-2069, and months January, February, March, April, May, September, October, November, and December at 771x771 meter spatial resolution. The file represents a decadal mean calculated from monthly means, using the...
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