BLM REA COP 2010 DV Allotments status pfc Long DV 4km poly

This dataset presents grazing allotments (from BLM and USFS) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute changes in runoff, precipitation, temperature, and vegetation change estimated using climate projections (RegCM3 regional climate model based on ECHAM5 boundary conditions) and a biogeography model (MAPSS) for the period 2045-2060. These models present one possible set of estimates of the status and potential for change for this conservation element. Many additional factors may affect this conservation element beyond those captured in these models; these attributes could not be integrated using existing data within the scope of this REA. Local analysis are necessary to incorporate additional factors that strongly influence the status of this conservation element, such as degree of recreational use, expansion of invasive species, and human disturbance.

Data and Resources

Field Value
accessLevel public
bureauCode {010:04}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier c52121e9-db8d-404a-b226-d8f8609cd071
metadata_type geospatial
modified 2016-09-15
old-spatial {"type": "Polygon", "coordinates": [[[-113.5536368, 36.18672755], [-107.1939778, 36.18672755], [-107.1939778, 41.00236956], [-113.5536368, 41.00236956], [-113.5536368, 36.18672755]]]}
publisher Bureau of Land Management
resource-type Dataset
source_datajson_identifier true
source_hash d4dc6c9a4b1a1b76847ead230e676d01a676f619
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-113.5536368, 36.18672755], [-107.1939778, 36.18672755], [-107.1939778, 41.00236956], [-113.5536368, 41.00236956], [-113.5536368, 36.18672755]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • arizona
  • blm
  • bureau-of-land-management
  • ckan
  • colorado
  • colorado-plateau
  • cop-2010
  • disturbance
  • doi
  • geo
  • geospatial
  • geoss
  • national
  • new-mexico
  • north-america
  • range
  • rapid-ecoregional-assessment
  • rea
  • united-states
  • utah
isopen False
license_id notspecified
license_title License not specified
maintainer Conservation Biology Institute (Point of Contact)
maintainer_email info@consbio.org
metadata_created 2025-11-19T19:17:58.418322
metadata_modified 2025-11-19T19:17:58.418328
notes This dataset presents grazing allotments (from BLM and USFS) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute changes in runoff, precipitation, temperature, and vegetation change estimated using climate projections (RegCM3 regional climate model based on ECHAM5 boundary conditions) and a biogeography model (MAPSS) for the period 2045-2060. These models present one possible set of estimates of the status and potential for change for this conservation element. Many additional factors may affect this conservation element beyond those captured in these models; these attributes could not be integrated using existing data within the scope of this REA. Local analysis are necessary to incorporate additional factors that strongly influence the status of this conservation element, such as degree of recreational use, expansion of invasive species, and human disturbance.
num_resources 3
num_tags 22
title BLM REA COP 2010 DV Allotments status pfc Long DV 4km poly