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Ecological reference map.
Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
The US Geological Survey Chesapeake Bay Watershed Land Cover Data Series, 2011 edition, (CBLCD-e11) consists of Level I Land Cover data for the years 1984, 1992, 2001, 2006 and 2011. It consists of a series of five 8-bit unsigned integer raster data files of 30 meter spatial resolution in Albers Conic Equal Area projection, NAD83 datum. The 1984 – 2006 data layers were created by aggregating most Level II Anderson classes of the USGS CBLCD Land Cover Data Series released in 2010 (Irani and Claggett, 2010).
Proportion of Low and Black Sagebrush Land Cover (5-km scale) in the Wyoming Basins Ecoregional Assessment area
Proportion of low and black sagebrush land cover within a 5-km radius developed using a circular focal moving window analysis.
Location of mixed shrubland land cover obtained from the LANDFIRE Existing Vegetation Type dataset.
Development of oil and gas wells leads to the destruction and fragmentation of natural habitat. Oil and gas wells also increase noise levels which has been shown to be detrimental to some wildlife species. Therefore, the density of oil and gas wells in the western United States was modeled based on data obtained from the National Oil and Gas Assessment.
Speaker: Dr. Jason Kreitler, USGSWednesday, October 24, 2012 -12:00pm to 1:00pmThis project is analyzing downscaled climate model data to assess the geography of climate change at scales relevant to actual conservation actions. This work analyzes the California Essential Habitat Connectivity products to determine which protected lands are most vulnerable and which of the proposed corridors would partially mitigate climate change threats.
Orthorectified image from aerial photograph of wetland T9 from 2003 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland T4 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetlands T6 and T7 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
This dataset represents the Terrestrial Conservation Opportunity Areas identified by the 2015 update to Missouri's State Wildlife Action Plan.
Orthorectified image from aerial photograph of wetland P3 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
This file contains the polygon SDE Feature Class for Federal Fluid Minerals(Oil and Gas) for the Bureau of Land Management(BLM)Montana/Dakotas. Federal Fluid Minerals as well as Federal Lease status and Indian Minerals/Leases are included. Plat maps are used to find federal mineral ownership and the Bureau of Land Management's LR2000 database is used to find current leasing status.
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_2m_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...
This part of DS 781 presents data for the folds for the geologic and geomorphic map of the Offshore Monterey map area, California. The vector data file is included in "Folds_OffshoreMonterey.zip," which is accessible from http://dx.doi.org/10.3133/ofr20161110. The shelf north and east of the Monterey Bay Peninsula in the Offshore of Monterey map area is cut by a diffuse zone of northwest striking, steeply dipping to vertical faults comprising the Monterey Bay Fault Zone (MBFZ). This zone, originally mapped by Greene (1977, 1990), extends about 45 km across Monterey Bay (Map E on sheet 9). Fault strands within the MBFZ are mapped with high-resolution seismic-reflection profiles (sheet 8). Seismic-reflection profiles...
This part of DS 781 presents data for the paleoshorelines for the geologic and geomorphic map of Offshore Monterey, California. The vector data file is included in "Paleoshorelines_OffshoreMonterey.zip," which is accessible from http://dx.doi.org/10.3133/ofr20161110. Sea level has risen about 125 to 130 m over about the last 21,000 years (for example, Stanford and others, 2011), leading to broadening of the continental shelf, progressive eastward migration of the shoreline, and associated transgressive erosion and deposition. Sea-level rise was apparently not steady, leading to development of a submerged shoreline along the flank of Carmel Canyon (water depths of 80 to 90 m) during a relative stillstand. Paleoshorelines...
This dataset consists of the current distribution (2000s) of mangrove forests in the southeastern U.S. This dataset was created from the current best available mangrove data on a state specific basis. Florida mangrove data was extracted from Florida Landuse Land Cover Classification System (FLUCCS). For Louisiana, we used observations of mangrove stands from aerial surveys by Michot et al. (2010). Mangrove presence in Texas came from maps produced by Sherrod & McMillan (1981) and the NOAA Benthic Habitat Atlas of Coastal Texas (Finkbeiner et al. 2009). Please note that this map depicts the distribution of mangrove forests and not mangrove individuals. More detailed information on this dataset is available in Osland...
Various presentations given on SECAS in 2012.
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
The Comprehensive Habitat Type Dataset was developed by merging NOAA Benthic Habitat Atlas (BHA), Ecological Mapping Systems of Texas (aka Texas Ecological Systems Database, TESD), and National Wetlands Inventory (NWI) data within the study area for the ICF 2012 project (CGP LCC 2012-002 Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast). BHA data was used to depict mangroves, oysters, and patchy, continuous, and discontinuous seagrass beds where BHA existed within the study area. NWI data was used for all wetland/intertidal environments where NWI data existed within the study area. TESD data was used for all upland environments, and weltand/intertidal...