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Filters: Tags: Madrean Archipelago (X) > Types: Downloadable (X)

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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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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...
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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...
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The Vista tool is used to create a Scenario of the 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 impact of the...


map background search result map search result map BLM REA MAR 2012 Climate "Deltas" 1901_1980_1981_2012_ppt_09 BLM REA MAR 2012 Climate "Deltas" deltaratio_1901_1980_2040_2069_cmd_08 BLM REA MAR 2012 Climate Trends - trend_1981_2012_ppt_01 BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2010) BLM REA MAR 2012 Climate "Deltas" deltaratio_1901_1980_2040_2069_cmd_03 BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment: North American Warm Desert Lower Montane Riparian Woodland, Shrubland and Stream 30m BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_cmd_10 BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (1999) BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment: North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream HUC 10 BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_tmin_07 BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2005) BLM REA MAR 2012 Terrestrial Ecosystem Ecological Status Assessment: Madrean Encinal BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment based on water use: North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream BLM REA MAR 2012 Ecological Integrity Assessment (EIA): Terrestrial Desert Scrub Lifezone BLM REA MAR 2012 Climate Trends - trend_1981_2012_tmin_01 BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment based on habitat quality: North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2004) BLM REA MAR 2012 U.S. Counties (Generalized) - MAR BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_ppt_07 BLM REA MAR 2012 Climate Trends - trend_1981_2012_tmax_14 BLM REA MAR 2012 U.S. Counties (Generalized) - MAR BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment: North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream HUC 10 BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment: North American Warm Desert Lower Montane Riparian Woodland, Shrubland and Stream 30m BLM REA MAR 2012 Terrestrial Ecosystem Ecological Status Assessment: Madrean Encinal BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment based on water use: North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream BLM REA MAR 2012 Aquatic Ecosystem Ecological Status Assessment based on habitat quality: North American Warm Desert Riparian Woodland, Shrubland, Mesquite Bosque and Stream BLM REA MAR 2012 Ecological Integrity Assessment (EIA): Terrestrial Desert Scrub Lifezone BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2010) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (1999) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2005) BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2004) BLM REA MAR 2012 Climate "Deltas" 1901_1980_1981_2012_ppt_09 BLM REA MAR 2012 Climate Trends - trend_1981_2012_ppt_01 BLM REA MAR 2012 Climate Trends - trend_1981_2012_tmin_01 BLM REA MAR 2012 Climate Trends - trend_1981_2012_tmax_14 BLM REA MAR 2012 Climate "Deltas" deltaratio_1901_1980_2040_2069_cmd_08 BLM REA MAR 2012 Climate "Deltas" deltaratio_1901_1980_2040_2069_cmd_03 BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_cmd_10 BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_tmin_07 BLM REA MAR 2012 Climate "Deltas" 1901_1980_2040_2069_ppt_07