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This part of DS 781 presents 2-m-resolution SWATHPlus data for the acoustic-backscatter map of Offshore of Monterey map area, California. These metadata describe acoustic-backscatter data collected and processed by California State University, Monterey Bay (CSUMB), Seafloor Mapping Lab and processed into a map sheet by the U.S. Geological Survey. The raster data files are included in "Backscatter _SWATH_Monterey.zip," which is accessible from http://dx.doi.org/10.5066/F7F47M6T. This 2-m-resolution SWATHPlus acoustic backscatter map of Offshore of Monterey map area, California, was generated from backscatter data collected by CSUMB using 234-kHz and 468-kHz SEA SWATHplus bathymetric sidescan-sonar systems. Within...
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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 "BathymetryHS_5m_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...
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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 "Bathymetry_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 datum...
We examined the effects of the Zemko Dam removal on the Eightmile River system in Salem, Connecticut, USA. The objective of this research was to quantify spatiotemporal variation in fish community composition in response to small dam removal. We sampled fish abundance over a 6-year period (2005-2010) to quantify changes in fish assemblages prior to dam removal, during drawdown, and for three years following dam removal. Fish population dynamics were examined above the dam, below the dam, and at two reference sites by indicator species analysis, mixed models, non-metric multidimensional scaling, and analysis of similarity. We observed significant shifts in fish relative abundance over time in response to dam removal....
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Freshwater Aquatic Ecosystem Integrity - Blueprint 2.0 This layer is part of an older version of the Blueprint. This data represents the Blueprint 2.0 ecosystem integrity scores for the freshwater aquatic ecosystem within the South Atlantic LCC geography. To read more about the indicators, please visit the indicator page. Input Data and Mapping Steps Indicators (200 m resolution) were spatially modeled, tested, reviewed, and used as inputs to derive high integrity areas. Please see the indicator folder in the Blueprint 2.0 data gallery for more information about indicator spatial data. The integrity scores for this system are based on indicators within the freshwater aquatic ecosystem. These indicators served...
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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 2- 5%-15% Cover Risk 3 - 15%-25% Cover Risk 4 - 25%-45% Cover...
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Complete terrestrial ecological systems dataset verion 2.8. Updates done for the 27 systems that are included in the final NatureServe CE dataset. Clipped to CBR & MBR. 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...
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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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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...
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This dataset was derived from 'NatureServe L48 ESLF V2.7'. See process steps for additional information. 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...
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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 2- 5%-15% Cover Risk 3 - 15%-25% Cover Risk 4 - 25%-45% Cover...
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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 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 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 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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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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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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This map summarizes information presented in the other chapters of the report, including background information on the Bureau of Land Management and Rapid Ecoregional Assessments (REAs), and the REA components that are addressed by the Wyoming Basin REA. In addition, we provide two-page summaries for each Change Agent (development, invasive species, fire, and climate change) and Conservation Element (species and communities) assessed by the Wyoming Basin REA. The REA?s provide an assessment of 1) baseline conditions for long-term monitoring of broad-scale conditions and trends; 2) landscape-level intactness of ecological communities, habitats for priority species, and the ecoregion overall; and 3) a predictive capacity...


map background search result map search result map Bathymetry--Offshore Santa Cruz, California OUTDATED Freshwater Aquatic: Ecosystem Integrity - South Atlantic Blueprint 2.0 Backscatter [Swath]-- Offshore of Monterey Map Area, California Bathymetry Hillshade [5m]--Offshore of Monterey Map Area, California BLM REA MBR 2010 Risk Model of Invasive Annual Grasses - CBR and MBR BLM REA MBR 2010 NatureServe Terrestrial Ecological Systems, version 2.8 BLM REA MBR 2010 GEODB.SDE.CEI NATURESERVE L48 ESLF V2 7 BLM REA CBR 2010 Ecological System Fire Regime Departure - 2060 Inter-Mountain Basins Subalpine Limber-Bristlecone Pine Woodland BLM REA CBR 2010 Ecological System Fire Regime Departure - Colorado Plateau Mixed Low Sagebrush Shrubland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2060 Great Basin Xeric Mixed Sagebrush Shrubland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Subalpine Limber-Bristlecone Pine Woodland BLM REA CBR 2010 NatureServe GBPinyonJuniperWoodlndTerrestrial Ecological Systems BLM REA CBR 2010 Risk Model of Invasive Annual Grasses - CBR and MBR BLM REA MBR 2010 Aquatic/Riparian Ecosystem Status - North American Warm Desert Lower Montane Riparian Woodland Shrubland BLM REA MBR 2010 Terrestrial Ecosystems Status - Mogollon Chaparral BLM REA MBR 2010 Change Agent and Conservation Elements - Current and Near-term Intersect BLM REA MBR 2010 Terrestrial Ecosystems Status - Mojave Mid-Elevation Mixed Desert Scrub BLM REA MBR 2010 Aquatic/Riparian Ecosystem Status - Mojave Desert Lakes Reservoirs BLM REA WYB 2011 Ch03 Overview Synthesis Part 1 Backscatter [Swath]-- Offshore of Monterey Map Area, California Bathymetry--Offshore Santa Cruz, California Bathymetry Hillshade [5m]--Offshore of Monterey Map Area, California BLM REA CBR 2010 Ecological System Fire Regime Departure - Colorado Plateau Mixed Low Sagebrush Shrubland BLM REA MBR 2010 GEODB.SDE.CEI NATURESERVE L48 ESLF V2 7 BLM REA CBR 2010 Ecological System Fire Regime Departure - 2060 Inter-Mountain Basins Subalpine Limber-Bristlecone Pine Woodland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Subalpine Limber-Bristlecone Pine Woodland BLM REA MBR 2010 Aquatic/Riparian Ecosystem Status - North American Warm Desert Lower Montane Riparian Woodland Shrubland BLM REA MBR 2010 Terrestrial Ecosystems Status - Mogollon Chaparral BLM REA MBR 2010 Change Agent and Conservation Elements - Current and Near-term Intersect BLM REA MBR 2010 Terrestrial Ecosystems Status - Mojave Mid-Elevation Mixed Desert Scrub BLM REA MBR 2010 Aquatic/Riparian Ecosystem Status - Mojave Desert Lakes Reservoirs BLM REA CBR 2010 NatureServe GBPinyonJuniperWoodlndTerrestrial Ecological Systems BLM REA CBR 2010 Ecological System Fire Regime Departure - 2060 Great Basin Xeric Mixed Sagebrush Shrubland BLM REA MBR 2010 NatureServe Terrestrial Ecological Systems, version 2.8 BLM REA MBR 2010 Risk Model of Invasive Annual Grasses - CBR and MBR BLM REA CBR 2010 Risk Model of Invasive Annual Grasses - CBR and MBR OUTDATED Freshwater Aquatic: Ecosystem Integrity - South Atlantic Blueprint 2.0 BLM REA WYB 2011 Ch03 Overview Synthesis Part 1