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This dataset combines "key ecological values" within intact forest landscapes in order to identify what can be called "key ecological areas" that is, the most valuable areas from an ecological perspective. Although intact forest landscapes have intrinsic value in themselves, identifying "key ecological values" within intact forest landscapes is challenging due to the limited amount of information on most remaining intact areas. It is also difficult to evaluate trade-offs in various prioritization schemes, as value judgments are required and values vary widely. In addition, the methodologies that have been developed for identifying and prioritizing values may not yet be sufficiently refined in order to receive...
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including...
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This part of DS 781 presents data for the bathymetry and shaded-relief maps of Offshore Scott Creek, California. The raster data file is included in "BathymetryHS_OffshoreScottCreek.zip", which is accessible from http://dx.doi.org/10.5066/F7CJ8BJW.The bathymetry and shaded-relief maps of Offshore Scott Creek, California, were generated from bathymetry data collected by California State University, Monterey Bay (CSUMB), by Fugro Pelagos, and by the U.S. Geological Survey (USGS). Mapping was completed between 2006 and 2009, using a combination of 400-kHz Reson 7125 and 244-kHz Reson 8101 multibeam echosounders, as well as a 234-kHz SWATHplus bathymetric sidescan-sonar system. These mapping missions combined to collect...
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Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including...
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This part of DS 781 presents data for the bathymetry and shaded-relief maps of Offshore Santa Cruz, California. The raster data file is included in "BathymetryHS_OffshoreSantaCruz.zip", which is accessible from http://dx.doi.org/10.5066/F7TM785G.The bathymetry and shaded-relief maps of Offshore Santa Cruz, California, were generated from bathymetry data collected by the U.S. Geological Survey (USGS). Mapping was completed in 2009 using a 234-kHz SWATHplus bathymetric sidescan-sonar system. The mapping mission collected bathymetry data from about the 10-m isobath to beyond the 3-nautical-mile limit of California�s State Waters. NOTE: The horizontal datum of this bathymetry data (NAD83) differs from the horizontal...
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This part of DS 781 presents data for 2-m and 5-m bathymetry and shaded-relief maps of Offshore of Monterey map area, California. The raster data file is included in "Bathymetry_OffshoreMonterey.zip," which is accessible from http://dx.doi.org/10.3133/ofr20161110. The 2-m and 5-m bathymetry and shaded-relief maps of Offshore of Monterey map area, California, was generated from acoustic bathymetry data collected by California State University, Monterey Bay (CSUMB) and by Monterey Bay Aquarium Research Institute (MBARI), as well as from bathymetric lidar data collected by the U.S. Army Corps of Engineers, Joint Airborne Lidar Bathymetry Center of Expertise (JALBTCX). Acoustic mapping was completed between 1998 and...
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This part of DS 781 presents the seafloor-character map of Offshore of Monterey map area, California. The raster data file is included in "SeafloorCharacter_2m_OffshoreMonterey.zip," which is accessible from http://dx.doi.org/10.3133/ofr20161110. This raster-format seafloor-character map shows four substrate classes in the Offshore of Monterey map area, California. The substrate classes mapped in this area have been colored to indicate which of the following California Marine Life Protection Act depth zones and slope classes they belong: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), Depth Zone 4 (100 to 200 m), Depth Zone 5 (deeper than 200 m), Slope Class 1 (0 degrees - 5 degrees; flat), and Slope...
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This part of DS 781 presents data for the acoustic-backscatter map of Offshore of Monterey map area, California. Backscatter data are provided as separate grids depending on Resolution. The raster data files are included in "Backscatter_5m_OffshoreMonterey.zip," which is accessible from http://dx.doi.org/10.3133/ofr20161110. This acoustic-backscatter map of the Offshore of Monterey map area in central California was generated from backscatter data collected by California State University, Monterey Bay (CSUMB) and by Monterey Bay Aquarium Research Institute (MBARI). Mapping was completed between 1998 and 2012 using a combination of multibeam echosounders including 200-kHz/400-kHz Reson 7125, 100-kHz Reson 7111, 240...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
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Subset of "Risk Model of Invasive Annual Grasses" - 15% category This dataset represents the location and class density of potential annual grass risk within the Central Great Basin and Mojave Basin Ecoregion for the 2010 time period. This model represent a composite of multiple inductive (Maximum Entropy) models of varying annual grass cover using non-spectral landscape variables. Input Variables: elevation, aspect, distance to fire, geology, distance to hydric soils, distance to intermitant streams, landform, ombrotype, distance to perrenial streams, soil pH, density of primary roads, density of secondary/local roads, percent sandy soil, slope, thermotype. Classification of Model 0-No/Low Risk 1- < 5% Cover Risk...
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Summarized fire regime departure scores for types falling within Basin Upland categories of the ecoregion-wide conceptual model. Colorado Plateau Mixed Low Sagebrush Shrubland Great Basin Xeric Mixed Sagebrush Shrubland Inter-Mountain Basins Big Sagebrush Shrubland Inter-Mountain Basins Big Sagebrush Steppe Inter-Mountain Basins Greasewood Flat Inter-Mountain Basins Mixed Salt Desert Scrub Inter-Mountain Basins Semi-Desert Grassland Inter-Mountain Basins Semi-Desert Shrub-Steppe Mojave Mid-Elevation Mixed Desert Scrub- mesic Mojave Mid-Elevation Mixed Desert Scrub- thermic Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire...
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This dataset represents the location and class density of potential invasive Woody Riparian risk within the Central Great Basin and Mojave Basin Ecoregion for the 2010 time period. This model represent an inductive (Maximum Entropy) models of Tamarisk sp. and Russian Olive using non-spectral landscape variables. Input Variables: elevation, aspect, geology, distance to hydric soils, distance to intermitant streams, landform, ombrotype, distance to perrenial streams, soil pH, percent sandy soil, slope, thermotype.
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This map shows the current and near-term status of terrestrial ecosystems, in addition to the input datasets used for the analysis and distribution modeling that were involved in producing these status datasets. 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...
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This map shows the status of aquatic ecosystems, in addition to the input datasets used for the analysis and distribution modeling that were involved in producing these status datasets. 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...
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This map shows the current and near-term intersect between several change agents and conservation elements, in addition to the dependent datasets involved in this geospatial modeling. 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...
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This map shows the current and near-term status of aquatic ecosystems, in addition to the input datasets used for the analysis and distribution modeling that were involved in producing these status datasets. 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...
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Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...


map background search result map search result map Canada's Ecological Values within Intact Forest Landscapes Bathymetry Hillshade--Offshore Scott Creek, California Bathymetry Hillshade--Offshore Santa Cruz, California Backscatter [5m]--Offshore of Monterey Map Area, California Seafloor character, 2-m-resolution grid--Offshore of Monterey Map Area, California Bathymetry [5m]--Offshore of Monterey Map Area, California Southwest Energy Development and Drought BLM REA COP 2010 NatureServe National Landcover (v27) ColoradoPlateauBlackbrushMormonTeaShrubland_NatureServe_DIST_30m BLM REA SOD 2010 Riparian, Current Distribution - NatureServe National Landcover (v27) BLM REA MBR 2010 l48 eslf v2 7 upland BLM REA MBR 2010 Ecological System Fire Regime Departure 2060 - Sonora-Mojave Semi Desert Chaparral BLM REA CBR 2010 Ecological System Fire Regime Departure - Basin Upland Summary - CBR BLM REA CBR 2010 Ecological System Fire Regime Departure - 2060 Inter-Mountain Basins Semi-Desert Shrub-Steppe BLM REA CBR 2010 Risk Model of Invasive Annual Grasses - 15% category BLM REA CBR 2010 Risk Model of Invasive Woody Riparian - CBR and MBR BLM REA MBR 2010 Terrestrial Ecosystems Status - Sonora Mojave Mixed Salt Desert Scrub BLM REA CBR 2010 Terrestrial Ecosystems Status - Inter-Mountain Basins Cliff Canyon BLM REA CBR 2010 Change Agent and Conservation Elements - Current and Near-term Intersect BLM REA CBR 2010 Aquatic/Riparian Ecosystem Status - Great Basin Lakes Reservoirs Seafloor character, 2-m-resolution grid--Offshore of Monterey Map Area, California Bathymetry Hillshade--Offshore Santa Cruz, California Bathymetry Hillshade--Offshore Scott Creek, California Bathymetry [5m]--Offshore of Monterey Map Area, California Backscatter [5m]--Offshore of Monterey Map Area, California BLM REA MBR 2010 Ecological System Fire Regime Departure 2060 - Sonora-Mojave Semi Desert Chaparral BLM REA SOD 2010 Riparian, Current Distribution - NatureServe National Landcover (v27) BLM REA COP 2010 NatureServe National Landcover (v27) ColoradoPlateauBlackbrushMormonTeaShrubland_NatureServe_DIST_30m BLM REA CBR 2010 Ecological System Fire Regime Departure - Basin Upland Summary - CBR BLM REA CBR 2010 Ecological System Fire Regime Departure - 2060 Inter-Mountain Basins Semi-Desert Shrub-Steppe BLM REA MBR 2010 Terrestrial Ecosystems Status - Sonora Mojave Mixed Salt Desert Scrub Southwest Energy Development and Drought BLM REA MBR 2010 l48 eslf v2 7 upland BLM REA CBR 2010 Risk Model of Invasive Annual Grasses - 15% category BLM REA CBR 2010 Risk Model of Invasive Woody Riparian - CBR and MBR BLM REA CBR 2010 Terrestrial Ecosystems Status - Inter-Mountain Basins Cliff Canyon BLM REA CBR 2010 Change Agent and Conservation Elements - Current and Near-term Intersect BLM REA CBR 2010 Aquatic/Riparian Ecosystem Status - Great Basin Lakes Reservoirs Canada's Ecological Values within Intact Forest Landscapes