Filters: Tags: vulnerability (X)
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Vulnerability of Sagebrush Ecosystem Permeability to Human Modification within the Green River Basin
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and slope (energetic costs), using the Multi-Scale Landscape Permeability model (Theobald et al. 2012; Theobald unpublished).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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Colorado,
Green River Basin,
Utah,
Wyoming,
biota,
Western painted turtle current suitable habitat, consensus of all 3 climate models.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Chrysemys picta belli,
climate change,
fire,
gis,
habitat suitablility,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Hawaii,
Honolulu County,
Oahu,
evacuation,
modeling,
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...
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...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Humboldt County,
evacuation,
hazard preparedness,
hazards,
tsunamis,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hawaii,
Honolulu County,
Oahu,
evacuation,
modeling,
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...
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...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Landscapes,
Northeast CASC,
Other Landscapes,
Reliability,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Coastal Wetlands,
Coastal processes,
Geomorphology,
Massachusetts,
Mathematical modeling,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: 2041-2060,
Drought, Fire and Extreme Weather,
Fire,
Forests,
Landscapes,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: 2061-2080,
Drought, Fire and Extreme Weather,
Fire,
Forests,
Landscapes,
Grasslands of the Sky Islands region once covered over 13 million acres in southeastern Arizona and adjacent portions of New Mexico, Sonora, and Chihuahua. Attempts to evaluate current ecological conditions suggest that approximately two thirds of these remain as intact or restorable grassland habitat. These grasslands provide watershed services such as flood control and aquifer recharge across the region, and continue to support dozens of species of concern. Prioritizing conservation interventions for these remaining grassland blocks has been challenging. Reliable data on condition and conservation value of grasslands in the region have not been systematically summarized. State and national boundaries further complicate...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chihuahuan Desert,
English,
Madrean,
Mexico,
US,
Our mission is to develop and maintain a cost-effective, central information source and inventory of the locations, biology, and status of all threatened, endangered, rare, and at-risk plants and animals in Nevada. We use the best available biological data to continually evaluate conservation priorities for over 700 native animals, plants, and vegetation types, focusing on those that are at greatest risk of extinction or serious decline. As a non-regulatory, independent resource for scientifically objective data, environmental review, and technical assistance and expertise, we support the needs of diverse planning, conservation management, research, education, and economic development activities in Nevada. The...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: English,
GIS,
Mojave Desert,
US,
amphibian,
Developing a Geodatabase and Geocollaborative Tools to Support Springs and Springs Dependent Species
The Museum of Northern Arizona will leverage tools previously developed through its Springs Stewardship Initiative to help resource managers in the southwestern U.S. collect, analyze, report upon, monitor and archive the complex and inter-related information associated with springs and spring-dependent species in the region. Building upon those past efforts, the project will include compilation of existing springs-related information to make the information more readily available online and further development of interactive online maps and climate change risk assessment tools of springs-dependent sensitive plant and animal species. This project builds on an effort funded in FY 2013 to complete similar work for...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AZ-01,
AZ-04,
Arizona,
CO-02,
CO-03,
This project integrates fire risk models, species distribution models (SDMs) and population models with scenarios of future climate and land cover to project how the effects of climate-induced changes to species distributions and land use change will impact threatened species in fire-prone ecosystems. This project also identifies and prioritizes potential management responses to climate change (e.g. assisted colonization, fire management, land protection, dispersal corridors). Anticipated products include: 1) maps (digital and hard copy) of habitat suitability under current and future climate change, current and future projected urban growth and combinations of climate change and future projected urban growth, under...
Categories: Data,
Project;
Tags: 2011,
Academics & scientific researchers,
CA,
CA-Southern,
California Landscape Conservation Cooperative,
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)...
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)...
We are providing geospatial data layers of climate, fire, biome and predicted species distributions for download at our project website. Links to presentations, data descriptions and zip files containing data layers can be found here. Over the next few months, we will continue to upload webinars and new training tutorials that demonstrate the application of these datasets to new questions and species. Climate and environmental data can readily be used to generate new models for additional species or other applications to describe habitats and future conditions within New Mexico. Initial fire model output is available as raster images and tabulated values that can be used in analyses of wildfire risk or hazardous...
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