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The landscape permeability model represents the structural connectivity of sagebrush ecosystem habitat in the Green River Basin (including ~5-10 km boundary outside of the GRB. This model connects patches of habitat, across the landscape using resistances that represent the degree of human modification and slope (energetic costs), using the Multi-Scale Landscape Permeability model (Theobald et al. 2012; Theobald unpublished). We used two metrics: (a) patch importance and (b) betweeness centrality amongst patches. These metrics were summarized for each HUC12. This dataset represents the vulnerability of sagebrush ecosystem permeability to human modification summarized for each HUC12 watershed within the Green River...
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The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). 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...
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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...
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This file contains a series of indexed conservation parameters and a cumulative relative conservation value scores. The file was created as part of a 7-state, wildlife action plan priority standardization project. The project, directed by the Open Space Institute (http://www.osiny.org) , was designed to complete a comprehensive GIS-based assessment of critical SWAP priority land protection targets across the greater Southern Appalachian range of AL, GA, TN, NC, SC, KY, and VA. The project developed a series of uniform geospatial data layers that illustrated ecological connectivity and associated wildlife habitat corridors at landscape-scale throughout the project region, as well as a standard analytical approach...
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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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The acquisition of 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 (RMIT) utilized a...
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Two maps (PCT_BALOSS_AK - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS - see accompanying CONUS Grid and its associated metadata) represent, in map form, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, their pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
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This dataset contains O'ahu resident count estimates as a function of travel time out of the standard and extreme tsunami-evacuation zones for three different travel speeds (impaired, slow, and fast walk). The data are organized in a manner which permits summarizing or visualizing the data by tsunami-evacuation zone and/or travel time, with communities listed across the top as columns and individual rows representing the number of residents present in the specific evacuation zone/travel time combination. Due to the nature of the methodology used to distribute residential population to structures, resident numbers are not integers. This dataset is intended for use in the U.S. Geological Survey's O'ahu, HI tsunami...
Tensions are evident in energy policy objectives between centralised top-down interconnected energy systems and localised distributed approaches. Examination of these tensions indicates that a localised approach can address a systemic problem of interconnected systems; namely vulnerability. The challenge for energy policy is to realise the interrelated goals of energy security, climate and environmental targets and social and economic issues such as fuel poverty, whilst mitigating vulnerability. The effectiveness of conventional approaches is debatable. A transition to a low carbon pathway should focus on resilience, counter to vulnerability. This article draws from on-going work which evaluates the energy aspects...
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ArcGIS layer package of relative classifications (low to high) for six resilience indicators and two anthropogenic stressors and a map of final relative resilience scores for 78 sites in the Commonwealth of the Northern Mariana Islands. The six resilience indicators are: bleaching resistance, coral diversity, coral recruitment, herbivore biomass, macroalgae cover and temperature variability. The two anthropogenic stressors are fishing access and nutrients and sediments. The resilience score map compares sites across all four of the surveyed islands: Saipan, Tinian, Aguijan, and Rota.
A method for assessment of watershed health is developed by employing measures of reliability, resilience and vulnerability (R–R–V) using stream water quality data. Observed water quality data are usually sparse, so that a water quality time-series is often reconstructed using surrogate variables (streamflow). A Bayesian algorithm based on relevance vector machine (RVM) was employed to quantify the error in the reconstructed series, and a probabilistic assessment of watershed status was conducted based on established thresholds for various constituents. As an application example, observed water quality data for several constituents at different monitoring points within the Cedar Creek watershed in north-east Indiana...
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This product provides spatial variations in wave thrust along shorelines in Massachusetts and Rhode Island. Natural features of relevance along the State coast are salt marshes. In recent times, marshes have been eroding primarily through lateral erosion. Wave thrust represents a metric of wave attack acting on marsh edges. The wave thrust is calculated as the vertical integral of the dynamic pressure of waves. This product uses a consistent methodology with sufficient spatial resolution to include the distinct features of each marsh system. Waves under different climatological wind forcing conditions were simulated using the coupled ADCIRC/SWAN model system. The estuarine and bay areas are resolved with horizontal...
Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10...
Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the MRI-CGCM3 GCM and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 - 10%; still very good); ... ; 95 (90 - 95%; within the historical distribution, but getting...
map background search result map search result map Southern Appalachian Priority Conservation Forest Blocks Estimated total quadratic mean diameter (QMD) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006 Western Painted Turtle: Current Habitat Suitability Consensus of All Models Western Painted Turtle: 2030 Habitat Suitability Consensus of All Models American Bullfrog: 2030 Habitat Suitability Consensus of All Models American Bullfrog: 2090 Habitat Suitability Consensus of All Models Northern Leopard Frog: Current Habitat Suitability Consensus of All Models Coral Reef Resilience to Climate Change in CNMI results Exposure potential of salt marsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors Tsunami Evacuation Travel Time Map for Humboldt County, CA, 2010, for Bridges Intact and a Slow Walking Speed Vulnerability of Sagebrush Ecosystem Permeability to Human Modification within the Green River Basin Tsunami evacuation time map for the island of O'ahu, Hawai'i, extreme tsunami evacuation zone and fast walk speed Pedestrian evacuation times for residents on the island of O'ahu, Hawai'i, for standard and extreme tsunami evacuation zones by community, modeled at three travel speeds (impaired, slow, and fast walk) Wave thrust values at point locations along the shorelines of Massachusetts and Rhode Island Pedestrian evacuation times for residents on the island of O'ahu, Hawai'i, for standard and extreme tsunami evacuation zones by community, modeled at three travel speeds (impaired, slow, and fast walk) Tsunami evacuation time map for the island of O'ahu, Hawai'i, extreme tsunami evacuation zone and fast walk speed Coral Reef Resilience to Climate Change in CNMI results Wave thrust values at point locations along the shorelines of Massachusetts and Rhode Island Western Painted Turtle: Current Habitat Suitability Consensus of All Models Western Painted Turtle: 2030 Habitat Suitability Consensus of All Models American Bullfrog: 2030 Habitat Suitability Consensus of All Models American Bullfrog: 2090 Habitat Suitability Consensus of All Models Northern Leopard Frog: Current Habitat Suitability Consensus of All Models Vulnerability of Sagebrush Ecosystem Permeability to Human Modification within the Green River Basin Southern Appalachian Priority Conservation Forest Blocks Estimated total quadratic mean diameter (QMD) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006