BLM REA COP 2010 Near-Term Terrestrial Intactness (HUC5)

This dataset provides an estimate of near-term terrestrial intactness (using HUC5 reporting units), based on a fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness. A powerpoint version of the logic model is available at: Vector\Conservation_Elements\Terrestrial\Ecosystem\Documentation\COP_TI_logic_models.pptx This model integrates agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces, combined with estimates of urban growth from David Theobald), linear development (from BLM GTLF, utility lines, and pipelines), energy and mining development (from state mine and USGS national mines datasets as well as AZ uranium mines, geothermal wells, and oil/gas wells), invasive vegetation (multiple sources combined for invasives analyses in this REA), and measures of natural vegetation fragmentation calculated using FRAGSTATS. Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Caution is warranted in interpreting this dataset because it provides a single estimate of terrestrial intactness based on available data. The degree of terrestrial intactness likely varies for a particular species or conservation element, and may depend on additional factors or thresholds not included in this model. Instead, this model should be taken as a general measure of intactness that can serve as a template for evaluating across many species at the ecoregion scale, and provides a framework within which species-specific parameters can be incorporated for more detailed analyses. Note: this dataset does not include near-term estimates of energy development; at the time this model was executed, reliable data were not available. Such data have since been incorporated for this REA, and could be included in a revised estimate. In particular, this dataset from Holly Copeland (2009) is located at Vector\Existing_Source_Datasets\economy\Energy\COP_Future_Petroleum.gdb\COP_ProjectedWells_Anticipated_poly

Data e Risorse

Campo Valore
accessLevel public
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modified 2016-09-15
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publisher Bureau of Land Management
resource-type Dataset
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Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • arizona
  • blm
  • bureau-of-land-management
  • ckan
  • colorado
  • colorado-plateau
  • cop-2010
  • doi
  • framework
  • geo
  • geospatial
  • geoss
  • management
  • national
  • new-mexico
  • north-america
  • rapid-ecoregional-assessment
  • rea
  • united-states
  • utah
  • vegetation
isopen False
license_id notspecified
license_title License not specified
maintainer Conservation Biology Institute (Point of Contact)
maintainer_email info@consbio.org
metadata_created 2025-11-22T16:55:33.891719
metadata_modified 2025-11-22T16:55:33.891725
notes This dataset provides an estimate of near-term terrestrial intactness (using HUC5 reporting units), based on a fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness. A powerpoint version of the logic model is available at: Vector\Conservation_Elements\Terrestrial\Ecosystem\Documentation\COP_TI_logic_models.pptx This model integrates agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces, combined with estimates of urban growth from David Theobald), linear development (from BLM GTLF, utility lines, and pipelines), energy and mining development (from state mine and USGS national mines datasets as well as AZ uranium mines, geothermal wells, and oil/gas wells), invasive vegetation (multiple sources combined for invasives analyses in this REA), and measures of natural vegetation fragmentation calculated using FRAGSTATS. Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Caution is warranted in interpreting this dataset because it provides a single estimate of terrestrial intactness based on available data. The degree of terrestrial intactness likely varies for a particular species or conservation element, and may depend on additional factors or thresholds not included in this model. Instead, this model should be taken as a general measure of intactness that can serve as a template for evaluating across many species at the ecoregion scale, and provides a framework within which species-specific parameters can be incorporated for more detailed analyses. Note: this dataset does not include near-term estimates of energy development; at the time this model was executed, reliable data were not available. Such data have since been incorporated for this REA, and could be included in a revised estimate. In particular, this dataset from Holly Copeland (2009) is located at Vector\Existing_Source_Datasets\economy\Energy\COP_Future_Petroleum.gdb\COP_ProjectedWells_Anticipated_poly
num_resources 3
num_tags 23
title BLM REA COP 2010 Near-Term Terrestrial Intactness (HUC5)