Skip to main content
Advanced Search

Filters: Tags: natural resources (X)

965 results (147ms)   

View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with BLM Herd Management Areas (HMAs) in the Central Great Basin and Range Ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) from the near-future scenario (circa 2025) that intersect with areas managed for wild horses and burros in the western US. It does not model actual response or condition of the HMAs to the CAs. The data intersects two primary classes of information: The CAs consist of 20 classes which represent different types of human infrastructure on the landscape. Some types are easily defined, precise footprints (pipelines, roads, energy...
thumbnail
This raster is used to answer the management question (MQ) regarding areas of low potential for renewable energy development (solar, wind, geothermal) that could potentially mitigate impacts to CEs from potential energy development in the Mojave Basin and Range Ecoregion. The value indicated in the raster represents a score between 0-100, the lower values indicating areas of poor landscape condition (ecological integrity). The higher the score, better landscape conditions are expected. Areas in the middle of the spectrum likely offer areas that present opportunities for mitigation under the logic that these areas are likely to be mildly impacted by change agents and therefore present opportunities for mitigation/restoration....
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with sensitive soils (SS) in the Central Great Basin and Range ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with the areas that were modeled by NatureServe to represent nine types of sensitive soils. It does not model actual response or condition of the SS to the CAs. The data intersects two primary classes of information: The CAs consist of 19 classes which represent different types of human infrastructure on the landscape. Some types are easily defined, precise footprints (pipelines, roads, energy development areas) while others...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
The 'White Mesa Copper Deposit' file is part of the Grover Heinrichs mining collection. Grover was the Vice President of Heinrichs GEOEXploration, located in Tucson, Arizona. The collection contains over 1,400 folders including economic geology reports, maps, photos, correspondence, drill logs and other related materials. The focus of much of the information is on the western United States, particularly Arizona, but the collection also includes files on mining activity throughout the United States, foreign countries, and 82 mineral commodities.
thumbnail
The 'San Manuel Mine, San Manuel, AZ' file is part of the Grover Heinrichs mining collection. Grover was the Vice President of Heinrichs GEOEXploration, located in Tucson, Arizona. The collection contains over 1,400 folders including economic geology reports, maps, photos, correspondence, drill logs and other related materials. The focus of much of the information is on the western United States, particularly Arizona, but the collection also includes files on mining activity throughout the United States, foreign countries, and 82 mineral commodities.
thumbnail
This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Yavapai1010C is located in T12N R2E Sec 6 NW in the Mayer - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
thumbnail
This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Mohave439A is located in T14N R13W Sec 13 NW in the Greenwood Peak - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
thumbnail
This dataset includes field data for fishes sampled using set lines deployed quarterly during 2017 and 2018 at Ryer Island, Suisun Bay, California, USA. This data release includes all measured environmental parameters and fish taxa included in the analysis.
thumbnail
In 2012, US Geological Survey (USGS) and National Oceanic & Atmospheric Administration (NOAA) embarked on an ambitious project to digitize surficial seafloor data from existing National Ocean Service (NOS) smooth sheets in the Gulf of Alaska including numerous bays bordering the Gulf. USGS and NOAA are using the data for the nation-wide usSEABED project that seeks to compile and unify existing seafloor characterization point data into GIS-friendly data using the dbSEABED program (Jenkins, 1997; Reid and others, 2005; Buczkowski and others, 2006; Reid and others, 2006) and for the North Pacific Research Board’s Gulf of Alaska Integrated Ecosystems Research Program (NPRB, GOA-IERP, http://www.nprb.org/gulf-of-alaska-project)...
thumbnail
The data comprise the initial release of landscape disturbance polygons and lines (sites, pipelines and roads) related to natural gas and oil drilling developed prior to the end of 2013 in the 10-county region along the New York - Pennsylvania border. The study area includes the New York Counties of Allegany, Broome, Chemung, Steuben and Tioga, and the Pennsylvania counties of Bradford, McKean, Potter, Susquehanna, and Tioga. The data were collected using high-resolution aerial imagery from the National Agricultural Imagery Program (NAIP) for each available year between 2004 - 2013 within a geographic information system (GIS), along with additional geospatial data on oil and gas drilling permits and locations, administrative...


map background search result map search result map ADMMR mining collection file: Binghampton ADMMR mining collection file: Adela Digital seafloor character data of the Gulf of Alaska from historical National Ocean Service (NOS) smooth sheets Grover Heinrichs mining collection: San Manuel Mine, San Manuel, AZ Grover Heinrichs mining collection: White Mesa Copper Deposit Natural gas and oil drilling disturbance in the Marcellus Shale region of the New York - Pennsylvania border White sturgeon set line sampling at Ryer Island, Suisun Bay, California, 2017-2018 BLM REA MBR 2010 Risk Model of Invasive Annual Grasses - CBR and MBR BLM REA MBR 2010 Near Future Scenario Footprint Assessment Change Agent/Herd Management Areas Intersect BLM REA MBR 2010 Areas with Low Renewable Energy Potential and Opportunities for Mitigation Fig 14 BLM REA MBR 2010 NatureServe Terrestrial Ecological Systems IMBMixedSaltDesertScrub 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 Footprint Assessment Change Agent/Sensitive Soils Intersect BLM REA CBR 2010 NatureServe GBPinyonJuniperWoodlndTerrestrial Ecological Systems BLM REA CBR 2010 Risk Model of Invasive Annual Grasses - CBR and MBR ADMMR mining collection file: Adela ADMMR mining collection file: Binghampton White sturgeon set line sampling at Ryer Island, Suisun Bay, California, 2017-2018 Natural gas and oil drilling disturbance in the Marcellus Shale region of the New York - Pennsylvania border BLM REA CBR 2010 Ecological System Fire Regime Departure - Colorado Plateau Mixed Low Sagebrush Shrubland BLM REA MBR 2010 Near Future Scenario Footprint Assessment Change Agent/Herd Management Areas Intersect BLM REA MBR 2010 NatureServe Terrestrial Ecological Systems IMBMixedSaltDesertScrub 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 CBR 2010 Footprint Assessment Change Agent/Sensitive Soils Intersect 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 Areas with Low Renewable Energy Potential and Opportunities for Mitigation Fig 14 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 Digital seafloor character data of the Gulf of Alaska from historical National Ocean Service (NOS) smooth sheets