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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).
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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).
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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).
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U.S. Counties (Generalized) represents the counties of the United States in the 50 states and the District of Columbia. These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
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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.
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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).
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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).
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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.
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Ecological Status Assessment - full for the Nectivorous Bats species group conservation element (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. The BLM should be cited as the data source in any products...
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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....
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Ecological Status Assessment - full for the Madrean Pinyon-Juniper Woodland terrestrial ecosystem conservation element (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. The BLM should be cited as the data...
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The Vista tool is used to create a Scenario of the CAs affecting the North American Warm Desert Lower Montane Riparian Woodland, Shrubland and Stream CE and applies user-input Landscape Condition Model (LCM) scores to generate ESAs for each of the CEs. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the CA...
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The Vista tool is used to create a Scenario of the CAs affecting the Madrean Encinal CE and applies user-input Landscape Condition Model (LCM) scores to generate ESAs for each of the CEs. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the CA from the footprint out for the specified distance, declining along...
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The Vista tool is used to create a Scenario of the habitat quality CAs affecting the North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream CE and applies user-input Landscape Condition Model (LCM) scores to generate ESAs for each of the CEs. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the...
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The Vista tool is used to create a Scenario of CAs affecting the Terrestrial Desert Scrub Lifezone Distribution CE and applies user-input Landscape Condition Model (LCM) scores to generate an Ecological Integrity Assessment (EIA) for the CE. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the CA from the footprint...
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The Vista tool is used to create a Scenario of the water use CAs affecting the North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream CE and applies user-input Landscape Condition Model (LCM) scores to generate ESAs for the CE. The LCM consists of Site Impact scores and impact Distances for each CA category. Site Impact scores are a value between 0 and 1 representing the impact of the CA on the relevant CEs. A score close to 1 indicates negligible or no impact from that CA. A score close to 0 indicates the highest possible impact, e.g. an interstate highway that makes the area in which it occurs completely unsuitable for the CE. Distances are set in meters and extend the impact of the...
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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.
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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).
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The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer...
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The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer...