Filters: Tags: decision support methods (X)
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1) Raw parcel-level habitat data for the South Carolina Lowcountry surrounding Cape Romain NWR and Francis Marion NF, from current current conditions and for three projected sea-level rise futures based on SLAMM model outputs, NLCD land cover and the projected distribution of sea levels for 2050. 2) a table of parcel identification numbers (without georeference) with parcel size (Ha) and sub-group identity. 3) Optimization-model derived reserve design portfolios that define the Pareto-optimal frontier for each sub-group and for four budget scenarios along axes of reserve design benefits and risk.
Categories: Data;
Tags: Data Visualization & Tools,
Science Tools For Managers,
Sea-Level Rise and Coasts,
Southeast CASC,
Water, Coasts and Ice,
This data set was collected as part of a structured decision-making workshop designed to identify sources of uncertainty and articulate alternative hypotheses about prescribed fire in high marshes of the Gulf of Mexico. Workshop participants independently scored alternative hypotheses based on a standard rubric using an online system. Following the workshop, we used the scores to compute QVoI for each participant. We used QVoI to prioritize the sources of uncertainty based on their magnitude of uncertainty, relevance for decision making, and reducibility.
Categories: Data;
Tags: Ecology,
Gulf of Mexico,
USGS Science Data Catalog (SDC),
Wildlife Biology,
Wildlife Biology,
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of Saginaw Bay. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Lake Erie,
biogeography,
coastal ecosystems,
The goal of barrier island restoration in the northern Gulf of Mexico is to restore barrier island morphology using sediment to support the functions and habitats the islands provide. Barrier island restoration typically involves placement of sediment either directly on the island footprint or within the littoral zone for system transport and distribution. The re-engineering of barrier islands presents numerous challenges and uncertainties associated with climate change induced hurricanes/storms and other dynamic components of the system such as sediment availability and erosional trends. The goal of this study was to use a collaborative SDM approach to develop two Bayesian decision network models (DMs) for restoration...
Categories: Data;
Types: Citation;
Tags: Data Visualization & Tools,
Drought, Fire and Extreme Weather,
Extreme Weather,
Gulf of Mexico, USA,
Mississippi Coastal Improvements Program,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Detroit River,
Great Lakes,
LIDAR,
Lake St. Clair,
St. Clair River,
The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale....
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Abbeville County,
Aiken County,
Allendale County,
Anderson County,
Bamberg County,
These data are a species-level classification map of riparian vegetation in the Colorado River riparian corridor in Grand Canyon, Arizona, USA. The classification is derived from 0.2 m pixel resolution multispectral aerial imagery acquired in May 2013. The classification spans the riparian zone of the river corridor between Glen Canyon Dam near Page, Arizona, and Lake Mead at Pearce Ferry, Arizona. The classification is divided into 5 distinct reaches of the river: Glen Canyon, Marble Canyon, Eastern Grand Canyon, Western Grand Canyon upstream of Diamond Creek, and Western Grand Canyon downstream of Diamond Creek. The method used for classification was a combination of supervised Classification And Regression Tree...
The U.S. Geological Survey, in cooperation with the California Department of Water Resources (DWR), has constructed a new spatially distributed Precipitation-Runoff Modeling System (PRMS) for the Merced River Basin (Koczot and others, 2021), which is a tributary of the San Joaquin River in California. PRMS is a deterministic, distributed-parameter, physical-process-based modeling system developed to evaluate the response of streamflow and basin hydrology to various combinations of climate and land use (Markstrom and others, 2015). Although further refinement may be required to apply the Merced PRMS for official streamflow forecast operations, this application of PRMS is calibrated with intention to simulate (and...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
Climate,
Climatology,
Draper Climate-Distribution Software (Draper),
Geography,
This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
FWHydrography,
Great Lakes,
Hydrography,
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of the connecting rivers (Detroit River and St. Clair River). The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.
The goal of barrier island restoration in the northern Gulf of Mexico is to restore barrier island morphology using sediment to support the functions and habitats the islands provide. Barrier island restoration typically involves placement of sediment either directly on the island footprint or within the littoral zone for system transport and distribution. The re-engineering of barrier islands presents numerous challenges and uncertainties associated with climate change induced hurricanes/storms and other dynamic components of the system such as sediment availability and erosional trends. The goal of this study was to use a collaborative SDM approach to develop two Bayesian decision network models (DMs) for restoration...
This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
Detroit River,
FWHydrography,
Great Lakes,
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of western Lake Erie. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization (Western Lake Erie Restoration Assessmente (WLERA)). Within the 192,618 ha study area that was bounded by the mouths of the Detroit River, MI to the north...
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Saginaw Bay,
biogeography,
coastal ecosystems,
This represents the flowline network in Sagina Bay Restoration Assessment (SBRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
FWHydrography,
Great Lakes,
Hydrography,
A table is presented listing: (1) monthly streamflows, (2) drought duration dates, (3) drought severity indices, (4) supporting statistics, and (5) identification tags, for analysis of hydrological droughts in the Conterminous United States (CONUS). Data were summarized from USGS streamflow daily values (DV), readily available from the U.S. Geological Survey National Water Information System (NWIS), for USGS gage stations used in SIR 2017-5099 Variability of Hydrological Droughts in the Conterminous United States, 1951 through 2014 by Samuel H. Austin, David M. Wolock, and David L. Nelms. https://doi. org/10.3133/sir20175099
Types: Citation;
Tags: CONUS,
USGS Science Data Catalog (SDC),
Water Resources,
decision support methods,
droughts,
Operational ecological forecasting is an emerging field that leverages ecological models in a new, cross-disciplinary way, using a real-time or nearly real-time climate forecast to project near-term ecosystem states. These applications give decision-makers lead time to anticipate and manage state changes that degrade ecosystem functions or directly impact humans. The Everglades Forecasting model (EverForecast) is an operational water stage forecast providing 6-month forecasts of daily projected, spatially continuous stage values across the Water Conservation Areas, Big Cypress National Preserve, Everglades National Park, Big Cypress Seminole Indian Reservation, and Miccosukee Federal Indian Reservation and Leased...
This dataset is a set of transition probabilities that were elicited from a group of relevant experts during a structured decision-making workshop. Each value is the probability of a wetland in a given state undergoing a transition to another state during a single time step, given a potential management action is taken.
Categories: Data;
Tags: Ecology,
Saint Marks National Wildlife Refuge,
South Atlantic-Gulf,
USGS Science Data Catalog (SDC),
adaptive management,
The goal of barrier island restoration in the northern Gulf of Mexico is to restore barrier island morphology using sediment to support the functions and habitats the islands provide. Barrier island restoration typically involves placement of sediment either directly on the island footprint or within the littoral zone for system transport and distribution. The re-engineering of barrier islands presents numerous challenges and uncertainties associated with climate change induced hurricanes/storms and other dynamic components of the system such as sediment availability and erosional trends. The goal of this study was to use a collaborative SDM approach to develop two Bayesian decision network models (DMs) for restoration...
Categories: Data;
Types: Citation;
Tags: Data Visualization & Tools,
Drought, Fire and Extreme Weather,
Extreme Weather,
Gulf of Mexico, USA,
Mississippi Coastal Improvements Program,
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