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This dataset contains two feature classes - contacts and map units - digitized from the Atlas of Mars 1:5,000,000 Geologic Series Map Amenthes Area (1979). Geologic structures have been omitted.
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This data layer represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' Priority Resource (PR). The potential CT shown here is the protected/managed area. These layers were created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving a conservation success for that CT. The data layer available for evaluating the area under management and/or...
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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...
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Upland Hardwood Ecosystem Integrity - Blueprint 2.1 This layer is part of an older version of the Blueprint. This data represents the Blueprint 2.1 ecosystem integrity scores for the upland hardwood 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 Blueprint 2.1 data gallery for more information about indicator spatial data. The integrity scores for this system are based on the upland hardwood indicators, landscapes indicators, freshwater aquatic indicators, and waterscapes indicators....
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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...
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This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map forest damage. Observers use paper maps, typically 1:100,000 scale USGS maps, upon which they record the damage. There is also a digital sketchmap system that may be used. The digital system uses GPS to display the...
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Draft Pine & Prairie Ecosystem Integrity - Blueprint 2.2 This data represents the Blueprint 2.2 ecosystem integrity scores for the pine and prairie 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 Blueprint 2.2 data gallery for more information about indicator spatial data. The integrity scores for this system are based on the pine and prairie indicators, freshwater aquatic indicators, landscapes indicators, and waterscapes indicators. These indicators served as inputs into...
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These data represent a potential Conservation Target for the Working Lands Priority Resource of the PFLCC. The potential Conservation Target is the connectivity of Working Lands. The Florida Greenways layer from CLIP 4.0 provides a context for Connectivity with natural habitats that provide connections between large natural areas in Florida. For additional metadata on CLIP 4.0, see the gallery of the same name in the Peninsular Florida LCC Community. The data set shown depicts the Greenways priorities within the Working Lands Priority Resource only. The Working Lands Priority Resource raster layer was used as a mask to extract the Greenways priority values for pattern analysis.
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This dataset provides the results of an assessment of estuary habitat condition in the conterminous United States. To analyze estuary condition, a cumulative disturbance index was developed based on habitat stressor variable data available at a national scale for anthropogenic disturbances measured within estuaries and their associated watersheds. Twenty-eight variables were combined within stressor categories to develop four sub-indices of disturbance for land use, alterations of river flows, pollution sources, and estuary eutrophication. These four sub-indices of disturbance were then combined to develop cumulative disturbance index scores for each estuary. This index describes the estimated combined stress on...
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The Exotic (EXO) and Native (NAT) biodiversity features represent exotic and native plant species communities in the Georgia Basin. These features (or rasters) were created following similar methods as Schuster & Arcese (2013), wherein they modelled and mapped bird species distributions using presence-absence data from ebird (http://ebird.org/content/ebird/about/; Sullivan et al. 2009). Plant species occurrence data were drawn from several sources (Boag 2014; Dr. E Gonzales; Dr. Joe Bennett; E-Flora BC 2013). Data for the 20 most abundant native and exotic plant species (40 species total) identified by Bennett (2014) were used to map the NAT and EXO communities, respectively (species list can be found in Appendix...
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Estimated number of breeding pairs of LeConte's sparrow based on the amount of grass, trees, and/or hay in the landscape. Landscape scale varied from 1/4- to 2-mile radius depending on the species. Pair estimates were calculated for grass patches >=1 ha, extrapolated to 40-ac cells, then smoothed by averaging over a 1-mile radius. Models were based on point count surveys conducted in 2003-2005 throughout the Tallgrass Prairie Pothole Region. Point count locations were stratified by cover type, the amount of grass in the landscape, and USFWS Wetland Management District boundaries. Landcover data were derived from 2000 Thematic Mapper imagery. Grid values = number of breeding pairs per 30-m pixel.
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This dataset includes 800m resolution long-term average estimates of the contributions to the quick-flow runoff component of the water budget over the time period from 2000-2013 and annual estimates for the individual years. These estimates were developed with a new empirical regression for surface runoff data generated from a USGS-developed hydrograph separation program (PART) run on streamflow data from 1434 gaged watersheds as a function of surficial geology type (USGS), precipitation (PRISM), and soil hydraulic conductivity (STATSGO). Irrigated water quantities reported in the 2000, 2005, and 2010 USGS Water Use datasets are also incorporated as effective additional precipitation. The contributing input datasets...
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Almost all the pictures acquired by Mariner 10 that were used for mapping were obtained during the first encounter: those covering the southeast half of the quadrangle are incoming close-encounter images, and those covering the north-west corner are outoing close-encounter images. At the time the pictures were obtained, the terminator was at about long 7° to 8°, within the eastern part of the quadrangle. A large gap in coverage between in the incoming and outgoing images appears as a northeast-trending diagonal blank strip on the base map. A small part of this gap was filled in the southwestern part of the quadrangle by very poor second-encounter images.
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This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. To more precisely identify areas where native species may presently be found, a map was generated that considers the following three categories of habitat quality: High, areas dominated by native vegetation; Medium, areas dominated by nonnative vegetation; and Low, highly modified landscapes. The primary source for mapping these three categories is the HIGAP land-cover classification (Gon, 2006). The High category includes all HIGAP land-cover classes that are considered to be either native dominated or mixed native and nonnative in order to represent those areas that have substantial native-species composition....
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This dataset depicts staffed visitor stations within the Pacific Southwest Region of the U.S. Fish and Wildlife Service. Staffed visitor stations may be refuge offices that are open to the public during specified hours, or may be dedicated visitor centers. This dataset does not include kiosks or other areas which contain information for visitors but are not staffed. The locations of these stations are based on the USFWS Corporate Master Table, with additional editing and updates based on the input of field and visitor services staff.
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This dataset depicts staffed visitor stations within the Pacific Southwest Region of the U.S. Fish and Wildlife Service. Staffed visitor stations may be refuge offices that are open to the public during specified hours, or may be dedicated visitor centers. This dataset does not include kiosks or other areas which contain information for visitors but are not staffed. The locations of these stations are based on the USFWS Corporate Master Table, with additional editing and updates based on the input of field and visitor services staff.
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Our objective was to develop a species-distribution model using habitat associations that represent probability of suitable habitat for the species historical range and the range under climate change scenarios including a hot/dry prediction (MIROC3.2) and a cool/wet prediction (ECHAM5) and 1-m and 2-m sea level rise scenarios; urban growth was also inlcuded. Future model predictions were based on extrapolated data for two time steps in the 21st century: mid (2046-2064) and late (2081-2100). Species distributions were modeled with Maxent (Maximum Entropy presence-only algorithm); climate change scenarios were based on precipitation and temperature changes as applied to stream conditions (e.g., flow) modeled with...
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The ACS is a national, publicly available survey provided by the U.S. Census Bureau that collects information about population, education, housing, economic status, and more. Planners, public officials, entrepreneurs, and researchers rely on the data collected through this survey to help understand community conditions and to support community planning efforts.
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Coastal Condition (Combined) This layer is an older version of one of the the South Atlantic LCC indicators in the estuarine ecosystem (both estuarine marsh and estuarine open water). It is an index of coastal condition capturing water quality, sediment quality, and benthic community condition. This indicator was updated with more current data in Blueprint 2.1. Reason for Selection This index measures the overall abiotic condition of the system, is well monitored, and is synthesized by the Environmental Protection Agency (EPA) every 5 years. It integrates measures of water quality, sediment quality, and benthic habitat quality. Input Data The EPA Coastal Condition Index (CCI) is a ranking derived from a water...
map background search result map search result map Damage to forested areas in the North Pacific LCC, USA, 1999 Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast Hawaii Habitat Quality (HI_HabQual) Annual average quick-flow runoff across the CONUS, 2000-2013 HAPET Breeding Pairs - LeConte's sparrow NFHP 2015 National Estuary Assessment Results OUTDATED Indicator V 2.0: Estuarine Combined: Coastal Condition Staffed Visitor Stations - USFWS, Pacific Southwest Region Staffed Visitor Stations - USFWS, Pacific Southwest Region American Community Survey (ACS) : Population Density per Square Mile (2013) OUTDATED Upland Hardwood: Ecosystem Score V 2.1 Rivers Current Exotic Communities Draft Pine & Prairie: Ecosystem Score V 2.2 HFU Protected Area CU Species Richness Working Lands - Connectivity apalachicola_Floater.mxd Geologic Map of the Victoria Quadrangle of Mercury Geologic Map of the Amenthes Quadrangle of Mars Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast apalachicola_Floater.mxd Current Exotic Communities Hawaii Habitat Quality (HI_HabQual) HAPET Breeding Pairs - LeConte's sparrow HFU Protected Area Working Lands - Connectivity CU Species Richness Staffed Visitor Stations - USFWS, Pacific Southwest Region Staffed Visitor Stations - USFWS, Pacific Southwest Region Damage to forested areas in the North Pacific LCC, USA, 1999 Rivers OUTDATED Indicator V 2.0: Estuarine Combined: Coastal Condition OUTDATED Upland Hardwood: Ecosystem Score V 2.1 Draft Pine & Prairie: Ecosystem Score V 2.2 American Community Survey (ACS) : Population Density per Square Mile (2013) Geologic Map of the Amenthes Quadrangle of Mars Annual average quick-flow runoff across the CONUS, 2000-2013 NFHP 2015 National Estuary Assessment Results Geologic Map of the Victoria Quadrangle of Mercury