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These data were generated for a cooperative project created by an agreement between the Federal Lands and Highways, Central Federal Lands Division (FLH-CFL) and the USGS Fort Collins Science Center (Colorado; https://www.fort.usgs.gov/) to facilitate development of spatially explicit natural resources and socioeconomic information for utilization during comprehensive transportation planning efforts. Federal Lands Highways (FLH) is the federal agency that helps guide and support transportation planning at national, regional, and state levels, including providing funding, information, and tools to state transportation planners. FLH is currently undertaking a series of pilot studies aimed at improving the availability,...
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The surface disturbance footprint raster data set quantifies the percent surface disturbance from development at a 90-meter resolution. The surface disturbance footprint is used to compute a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach. The surface disturbance footprint is mapped for the western United States (17 states), by compiling and combining spatial data for four development disturbance variable classes. Development classes include urban land cover (impervious surface), agriculture (cropland), energy and mineral extraction and transport (oil and gas wells, solar arrays, wind turbines, surface mines, pipelines, and transmission lines), and transportation...
Spatially-explicit state-and-transition simulation models of land use and land cover (LULC) increase our ability to assess regional landscape characteristics and associated carbon dynamics across multiple scenarios. By characterizing appropriate spatial attributes such as forest age and land-use distribution, a state-and-transition model can more effectively simulate the pattern and spread of LULC changes. This manuscript describes the methods and input parameters of the Land Use and Carbon Scenario Simulator (LUCAS), a customized state-and-transition simulation model utilized to assess the relative impacts of LULC on carbon stocks for the conterminous U.S. The methods and input parameters are spatially explicit...
Information on future land-use and land-cover (LULC) change is needed to analyze the impact of LULC change on ecological processes. The U.S. Geological Survey has produced spatially explicit, thematically detailed LULC projections for the conterminous United States. Four qualitative and quantitative scenarios of LULC change were developed, with characteristics consistent with the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES). The four quantified scenarios (A1B, A2, B1, and B2) served as input to the forecasting scenarios of land-use change (FORE-SCE) model. Four spatially explicit data sets consistent with scenario storylines were produced for the conterminous United...
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The USGS Upper Midwest Environmental Sciences Center developed a Monarch Relevant Land Cover data set covering the area of Canada. We used the 2010 land cover data set produced by the tri-national North American Land Change Monitoring System (NALCMS) and supported by the Commission for Environmental Cooperation (CEC) that depicts year 2010 land cover across North America at 30-meter spatial resolution, and incorporated additional spatially-explicit information to develop this land cover map. Additional sources of information included 2004 railroad data provided by The Atlas of Canada and the CEC, 2017 roads data provided by Statistics Canada, 2017 protected areas data provided by the CEC, and 2016 Canada provincial/territory...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Heinrichs Geoexploration Co. Maps: Arizona Map No. 18 BLM Range Surveys; 1 in. to 1 mile; 31 x 57 in.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Pima704 is located in T20S R7E Sec 2 N2 in the Presumido Peak - 15 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.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Pinal605A is located in T8S R12E Sec 17 SW in the Tortolita Mts - 15 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.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Gila126A is located in T1N R13E Sec 36 C in the Inspiration - 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.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Coconino420 is located in T22N R2E Sec 26 SE in the Williams - 15 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.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Cochise103 is located in T18S R23E Sec 10 E2 in the Cochise Stronghold - 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.
Global land-use/land-cover (LULC) change projections and historical datasets are typically available at coarse grid resolutions and are often incompatible with modeling applications at local to regional scales. The difficulty of downscaling and reapportioning global gridded LULC change projections to regional boundaries is a barrier to the use of these datasets in a state-and-transition simulation model (STSM) framework. Here we compare three downscaling techniques to transform gridded LULC transitions into spatial scales and thematic LULC classes appropriate for use in a regional STSM. For each downscaling approach, Intergovernmental Panel on Climate Change (IPCC) Representative Concentration Pathway (RCP) LULC...
Water shortages in California are a growing concern amidst ongoing drought, earlier spring snowmelt, projected future climate warming, and currently mandated water use restrictions. Increases in population and land use in coming decades will place additional pressure on already limited available water supplies. We used a state-and-transition simulation model to project future changes in developed (municipal and industrial) and agricultural land use to estimate associated water use demand from 2012 to 2062. Under current efficiency rates, total water use was projected to increase 1.8 billion cubic meters (+4.1%) driven primarily by urbanization and shifts to more water intensive crops. Only if currently mandated...
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This research focuses on understanding processes controlling temporal and spatial variability in aquatic carbon fluxes in headwater streams. Headwater streams are areas of active carbon cycling because of steep topographic gradients, complex soil and vegetation patterns, and an abundance of small lakes and streams. The project will combine information from the following major components: High-frequency measurements of aquatic carbon fluxes using in-stream sensors will provide information on temporal dynamics at unprecedented resolution. A geostatistical model will be developed to characterize relations between landscape type (e.g., wetlands, forest, tundra) and aquatic C dynamics and fluxes. Variations in fluxes...
The Biologic Carbon Sequestration Assessment Program (LandCarbon) is designed to support the following goals: Assess the current and potential carbon balance (stocks and fluxes) in major terrestrial and aquatic ecosystems Evaluate the effects of both natural and anthropogenic driving forces on ecosystem carbon balance and greenhouse gas fluxes Develop carbon monitoring methods and capabilities Conduct research and provide science support for increasing carbon sequestration in land management policies and practices More information is available on the LandCarbon website: https://www2.usgs.gov/climate_landuse/land_carbon/ The LandCarbon Community serves as a content management system for the LandCarbon Data Portal....


map background search result map search result map ADMMR mining collection file: Victor-Lucky-Copper Peak ADMMR mining collection file: Blue Copper Mine ADMMR mining collection file: Westside ADMMR mining collection file: Muheim Mine ADMMR mining collection file: Carlota Property Land Status on Paulden and Clarkdale Quadrangles Hope Metals Co. Map of Power Transmission Line and Gila Water Supply Pipe Line Proposed 54ft Vehicular Right of Way within the S.P.R.R. Right of Way Arizona Map No. 18 BLM Range Surveys Surface Disturbance Footprint from Development for the Western United States Headwater C fluxes 2010 Monarch Relevant Land Cover Data Set for Canada Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2010 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2010 ADMMR mining collection file: Westside ADMMR mining collection file: Carlota Property ADMMR mining collection file: Victor-Lucky-Copper Peak ADMMR mining collection file: Blue Copper Mine ADMMR mining collection file: Muheim Mine Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2010 Headwater C fluxes Surface Disturbance Footprint from Development for the Western United States 2010 Monarch Relevant Land Cover Data Set for Canada