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The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS. The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in...
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This dataset combines the sensitive soils datasets for the Southern Rockies Landscape Conservation Cooperative, the projected future vegetation and the simulated historic potential natural vegetation, created using the MC2 dynamic global vegetation model. Colors represent unique combinations of vegetation change and the number of sensitive soil factors present in a given area.
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The acquisition of forest parameters by host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk map assessment, utilized within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure...
Abstract (from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138759): Future climate change may significantly alter the distributions of many plant taxa. The effects of climate change may be particularly large in mountainous regions where climate can vary significantly with elevation. Understanding potential future vegetation changes in these regions requires methods that can resolve vegetation responses to climate change at fine spatial resolutions. We used LPJ, a dynamic global vegetation model, to assess potential future vegetation changes for a large topographically complex area of the northwest United States and southwest Canada (38.0–58.0°N latitude by 136.6–103.0°W longitude). LPJ is a...
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These datasets contain the attributes of individual trees located in and around Sequoia and Kings Canyon national parks. Attributes include remote sensing indices, terrain characteristics, and-- for the calibration data-- tree size and growth rates. Calibration data (mixedconifervulnerability_calibrationdataset.csv) were collected in long term research plots where trees are visited annually to check for mortality and periodically re-measured for diameter to capture growth. Validation data (mixedconifervulnerability_validationdataset.csv) were collected as part of a randomized sample located within a remote sensing 'flight box'. Remote sensing indices and terrain variables for both datasets were extracted from National...
Our country faces a wide array of natural hazards that threaten its safety, security, economic well-being, and natural resources. To minimize future losses, communities need a clear understanding of how they are vulnerable to natural hazards and of strategies for increasing their resilience. Vulnerability and resilience are influenced by (1) how communities choose to use hazard-prone land, (2) pre-existing socioeconomic conditions, (3) likely future patterns of land change, and (4) current efforts to reduce and manage risks. The objective of this project is to develop new ways of assessing and communicating community vulnerability and resilience to natural hazards. This work supports core elements of the USGS mission...
This project designed a monitoring program and protocol to detect the effects of climate change on tidal marsh bird population abundance and distribution. It is a companion to “Tidal Marsh Bird Population and Habitat Assessment for San Francisco Bay under Future Climate Change Conditions” and will build on its products, enabling evaluation of the long-term viability of four tidal-marsh bird species threatened by impacts of climate change: Clapper Rail, Black Rail, Common Yellowthroat, and Song Sparrow (three endemic subspecies: San Pablo, Suisun, and Alameda). Information is available through the California Avian Data Center. See also: http://data.prbo.org/apps/sfbslr/index.php?page=lcc-page
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This data release contains coastal wetland synthesis products for the geographic region of eastern Long Island, New York, including the north and south forks, Gardiners Island, and Fishers Island. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, mean tidal range, and shoreline change rate are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health. Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of...
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using Landsat 8 satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated fractional covers and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated fractional cover...
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The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential. The data and accompanying analysis scripts allow users to run the final random forests predictive model and reproduce the figures reported in the manuscript. Files from several data sources (aqa_2010_lvl3_pct_oute_joined_VEG_BARCODE.csv, eco_states_near_SAV.csv, ltrm_vegsrs_thru2019_GEOMORPHIC_METRICS_final.csv, vegetation_data.csv, and water_full.csv) were combined into a single .csv file (analysis_data_for_SAV_RandomForest.csv) used as the input for the random forest model. When intersecting points with geomorphic metrics some sites were moved slightly...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...
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LandScope America—a collaborative project of NatureServe and the National Geographic Society—is a new online resource for the land-protection community and the public. By bringing together maps, data, photos, and stories about America’s natural places and open spaces, our goal is to inform and inspire conservation of our lands and waters.
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The Southwest Regional Gap Analysis Project (SWReGAP) is an update of the Gap Analysis Program’s mapping and assessment of biodiversity for the five-state region encompassing Arizona, Colorado, Nevada, New Mexico, and Utah. It is a multi-institutional cooperative effort coordinated by the U.S. Geological Survey Gap Analysis Program. The primary objective of the update is to use a coordinated mapping approach to create detailed, seamless GIS maps of land cover, all native terrestrial vertebrate species, land stewardship, and management status, and to analyze this information to identify those biotic elements that are underrepresented on lands managed for their long term conservation or are “gaps.”
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Pima County makes extensive use of Geographical Information System (GIS) technology for making maps. For the Sonoran Desert Conservation Plan, this was an important technology for assembling the extensive existing data, both digital and non-digital, identifying critical gaps in the data and potential remedies, and providing a means for analyzing the information on biological and physical resources over the six million acre study area. SDCP Mapguide was created to display many of the natural resource GIS data layers, but Mapguide is being replaced with PimaMaps. You can use either to make your own overlays on aerial photos, line maps, or USGS topography. Customize your online map while panning and zooming on the...
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Congress passed the State Wildlife Grants program (SWG) in 2001 in recognition of the need for funding of wildlife diversity programs. Congress mandated each state and territory to develop a Comprehensive Wildlife Conservation Strategy (now named Wildlife Action Plans) by 2005 in order to continue to receive federal funds through the SWG program. Nevada’s Wildlife Action Plan (WAP) was completed and approved by the U.S. Fish and Wildlife Service (USFWS) in 2005. Nevada’s WAP has served as a plan of action for state wildlife conservation and funding by targeting the species of greatest conservation need and the key habitats on which they depend. To date, NDOW has received over $11 million in federal dollars through...


map background search result map search result map Potential for vegetation change on sensitive soils (consensus of 8 scenarios) for 2041 to 2050 in the Southern Rockies LCC, USA Modeled western pine beetle basal area loss - 2006 Estimated total basal area (BA) - 2006 Occult Bat: Current Habitat Suitability Consensus of All Models Long-legged Bat: Current Habitat Suitability Consensus of All Models Yuma Bat: 2090 Habitat Suitability Consensus of All Models LandScope America Southwest Regional Gap Analysis Project Sonoran Desert Conservation Plan MapGuide Map Nevada Wildlife Action Plan Exposure potential of saltmarsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors (polygon shapefile) Tsunami Evacuation Travel Time Map for Humboldt County, CA, 2010, for Bridges Removed and a Fast Walking Speed Rate of shoreline change of marsh units in eastern Long Island salt marsh complex, New York (ver. 2.0, March 2024) Vegetated fraction in coastal wetlands along the U.S. Atlantic Coast (16-bit GeoTIFF) Calibration and Validation Data and Model Coefficients for Mixed Conifer Vulnerability Project from Sequoia and Kings Canyon National Park 2015 to 2019 Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates included. Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019 Sonoran Desert Conservation Plan MapGuide Map Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019 Long-legged Bat: Current Habitat Suitability Consensus of All Models Occult Bat: Current Habitat Suitability Consensus of All Models Yuma Bat: 2090 Habitat Suitability Consensus of All Models Nevada Wildlife Action Plan Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates included. Potential for vegetation change on sensitive soils (consensus of 8 scenarios) for 2041 to 2050 in the Southern Rockies LCC, USA Southwest Regional Gap Analysis Project Vegetated fraction in coastal wetlands along the U.S. Atlantic Coast (16-bit GeoTIFF) Modeled western pine beetle basal area loss - 2006 Estimated total basal area (BA) - 2006 LandScope America