Filters: Tags: Madrean Archipelago (X)
603 results (8ms)
Filters
Date Range
Types
Contacts
Tag Types Tag Schemes |
The Vista tool is used to create a Scenario of the invasives CAs affecting the Mogollon Chaparral 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,...
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
A mask that allows layers underneath the raster map of Pronghorn distribution to be displayed across the Madrean Archipelago Rapid Ecological Assessment (REA) boundary.
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
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).
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 per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
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 per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
This dataset contains per-pixel anomailes (z-scores) for each variable, which is the distance between two climate means in units of standard deviation. This includes change for the recent time slice (1981-2012) and future timslice (2040-2069). Recent anomalies are 800m resoultion and use PRISM as the source dataset. Future anomalies are 4km resolution and use ClimateWNA as the source dataset. Anomaly = delta (recent or future)/ standard deviation of baseline
Existing Source Dataset - metadata provided as TXT. Please see: wbd_poly_seamless.met.txt These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
Existing Source Dataset without metadata. For information about this dataset, please see: http://wireless.fcc.gov/geographic/index.htm?job=licensing_database_extracts These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
A raster map of Mogollon Chaparral distribution across the Madrean Archipelago Rapid Ecological Assessment (REA) boundary.
A raster map of Montane Life Zone distribution, which is a representative summary of all upland ecological systems that occur within the Montane Life Zone, within the Madrean Archipelago Rapid Ecological Assessment (REA) boundary. Ecological Systems included are: Madrean Pinyon-Juniper Woodland; Mogollon Chaparral; Madrean Lower Montane Pine-Oak Forest and Woodland; Southern Rocky Mountain Ponderosa Pine Woodland; Madrean Upper Montane Conifer-Oak Forest and Woodland; Colorado Plateau Pinyon-Juniper Woodland; Southern Rocky Mountain Ponderosa Pine Savanna; Colorado Plateau Mixed Bedrock Canyon and Tableland; Rocky Mountain Aspen Forest and Woodland; Southern Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest...
These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary. The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are provided in units of meters,...
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).
The Vista tool is used to create a Scenario of the fire (FI) 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...
|
|