Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_HUC_Boundary_poly.xml This layer describes the boundary for the Colorado Plateau (COP) Ecoregion.
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_BLM_Field_Offices_P2.xml BLM Field Office Boundaries for the Colorado Plateau Ecoregion
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 derived from these data.
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Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_BLM_Herd_Mgmt_Areas_poly.xml Herd Areas (HAs) are where horses were located during a flight inventory in the early 1970s as required by legislation. Herd Management Areas (HMAs) are locations where there is sufficient resources managed by the BLM to support horse or burro populations as identified in a BLM planning document.
This polygon database displays HAs and HMAs across the west.
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 derived from these data.
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_TG_HMA_status_pfc_4KM_poly.xml This dataset presents herd management areas 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.
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_TG_HMA_status_pfc_4KM_poly.xml This dataset presents herd management areas 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.
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_TG_HMA_status_pfc_4KM_poly.xml This dataset presents herd management areas 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.
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_TG_HMA_status_pfc_4KM_poly.xml This dataset presents herd management areas 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.
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_C_TI_4km_poly.xml This dataset provides an estimate of current terrestrial intactness, 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), 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.
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_N_TI_4km_poly.xml This dataset provides an estimate of near-term terrestrial intactness, 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
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_DV_L_PFC_4KM_poly.xml This dataset shows potential for long-term energy development, which was evaluated using a fuzzy logic model. This model integrates factors describing potential for petroleum development, solar development, and wind development.
Petroleum development was derived from the combination of BLM Oil / Gas leases (from CO, UT, and NM; none were available for AZ for this area), BLM Oil Shale / Tar Sands PEIS Alternative B areas, Department of Energy Oil / Gas fields, and areas of high potential for oil / gas development developed by Copeland et al. (2009).
Wind development was extracted from NREL estimates where potential wind class was 3 and above, combined with BLM wind priority areas.
Solar development was extracted from NREL estimates where slopes were less than 1%.
Highly protected areas (e.g., wilderness) were erased from each of the above factors.
These factors were combined using a fuzzy model to show the maximum across the three factors (fuzzy OR operation).
Caution is warranted when interpreting this dataset. Factors describing future potential for development are widely variable, and do not necessarily indicate those areas that have the highest potential for development - only those areas where the potential for development according to one of the factors in this model occupies proportionally more of a given reporting unit. Areas may be divided into higher likelihood of development by investigating additional factors such as local resource management plans (e.g., on BLM land), current and near-term leasing activity, and other planning processes. These sources of information were generally not available at the ecoregion scale.
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)
Description: See metadata (FGDC section) for complete information about this layer - https://landscape.blm.gov/COP_2010_metadata/COP_CL_L_PFC_4KM_poly.xml This dataset presents the current potential distribution of Colorado River Cutthroat Trout in the context of current and near-term aquatic intactness, and long-term potential for climate change at the watershed (HUC5) scale.
Current aquatic intactness is based on current measures of landscape development, water quality, hydrologic impacts, and road impacts. Near-term intactness includes estimates of urban growth. 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.
The aquatic intactness estimates provide one set of estimates of the current and near-term habitat conditions of this species; long-term potential for climate change indicates areas that may more strongly affect the status of this species . Many additional factors may affect this species beyond those captured in these models; these species-specific attributes could not be integrated using existing data within the scope of this REA. Local analysis are necessary to provide additional estimates of the current distribution of this species as well as incorporating additional factors that strongly influence the status and distribution of this species. Furthermore, the estimates used in this REA were required by BLM to be at the watershed (HUC5); this produces a landscape-scale averaging effect that may make it difficult to determine more locally specific measures of the condition of this species. Future analysis should be performed at a scale that more closely captures the functional neighborhood of this species, such as finer-grained watersheds (HUC6) or a grid of reporting units (e.g., 4KM grid).
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 derived from these data.
Copyright Text: CSS-Dynamac and Conservation Biology Institute (CBI)