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This layer represents the number of Tier 1 fish species known to occur in each HUC10 watershed in the state, according to data available in CPW’s fish database as of December 2014. There are 25 fish species on the Tier 1 SGCN list; a maximum of eight different species occur in the same watershed. This map is an indicator of species richness only; it does not consider relative habitat quality, or population metrics such as density or abundance, across watersheds.
This dataset represents the Terrestrial Conservation Opportunity Areas identified by the 2015 update to Missouri's State Wildlife Action Plan.
The Conservation Opportunity Areas (COAs) for Tennessee capture populations of GCN species and high quality habitats, and as appropriate, define the geographically relevant framework for achieving conservation outcomes. The COAs currently designed for Tennessee are large geographies, with the expectation that further prioritization and goal setting for specific habitat outcomes can be achieved within them through collaborations with partners on shared objectives. While designing the COAs for Tennessee, the planning team considered three major attributes: GCN habitat priority, the problems affecting the habitats, and the on-the-ground opportunities to implement conservation actions.
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.
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.
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).
Album caption and index card: Rocky Mountain National Park, Colorado, picture by the Union Pacific Railroad, 1913, Mount Ypsilon, which, with Hague's Peak and Flat Top, form sentinels standing just within the crooked arm of the Continental Divide. Ypsilon is 13,500 feet high, while Hague is 13,382 and two miles north. Note: Whenever this photograph is reproduced, it must have state immediately beneath the reproduction: "Courtesy of the Union Pacific Railroad." Handwritten notes on album caption: Long's Peak quad, Larimer County, Colo.
Album caption: Mescalero Indian Reservation, New Mexico. Triangulation signal Sierra Blanca White Mtn., N. Mex. 12,000 ft. above sea level. Picture by Van. H. Manning, 1909. Handwritten notes on album caption: Mescalero quad., Otero County, N.M. Index card: Triangulation monument on Sierra Blanca. Otero County, New Mexico. 1909.
This dataset represents a species habitat distribution map for Northern Flicker (Colaptes auratus) within the conterminous United States (CONUS) based on 2001 ground conditions. This habitat map was created by applying a deductive habitat model to remotely-sensed data layers within the species' known range. See Gap Analysis Project Species Habitat Maps for more information regarding model process and user constraints. For species specific model information, see the attached Species Habitat Model Report.
Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Louisiana
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...
Impacts of Climate Warming on River Ice Break-up and Snowmelt Freshet Processes on the Porcupine River in Northern Yukon
Determining Priority Amphibian and Reptile Conservation Areas (PARCAs) in the South Atlantic landscape, and assessing their efficacy for cross-taxa conservation: Geographic Dataset
GIS layers depicting South Atlantic Priority Amphibian and Reptile Conservation Areas (PARCAs)
Album caption: Oregon, Wasco County, The Dalles quad. June 5, 1930. Big Eddy of the Columbia River at downstream end of Five-Mile Rapid. View downstream from the SW. ¼ sec. 29, T. 2 N., R. 14 E. Index card: Big Eddy of Columbia River and Mt. Hood.
Album caption: Down Koyukuk River, and plateau topography. Lunch Sept. 10, about 75 miles above mouth of river. Looking S. 55 deg. W. No index card.
This data layer represents a tested potential Conservation Target (CT) for PFLCC's Priority Resource (PR): Coastal Uplands. The suggested potential CT was Species Richness. Species Richness is one component of biodiversity, an important aspect of landscape conservation. Biodiversity is important for maintaining the balance of natural communities and ecosystems upon which humans also depend. Florida has a high level of species diversity and endemism but the state is experiencing threats to its natural heritage from a variety of sources. The data used in this analysis in addition to the Priority Resource layer is the Species Richness layer from the CLIP 4.0 geodatabase. The core layer of the geodatabase is from the...