Skip to main content
Advanced Search

Filters: partyWithName: U.S. Fish and Wildlife Service (X) > Types: OGC WMS Service (X) > Categories: Data (X) > Types: Map Service (X)

434 results (14ms)   

Filters
Date Range
Extensions (Less)
Types (Less)
Contacts (Less)
Categories (Less)
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
After two funding cycles, the Upper Midwest and Great Lakes (UM&GL) Landscape Conservation Cooperative (LCC) decided a more strategic approach was needed to address theconservation priorities of the region. LCC Staff sought a needs assessment that would better highlight the shared priorities and concerns of the conservation community, in addition to helping the LCC find its most effective niche in a region where collaborative conservation is fairly standard practice. This assessment was intended to: • Clarify the most effective role(s) for the LCC in this region• Identify the criteria that would guide the bounds of work undertaken by the LCC • Gather information regarding participant understanding and familiarity...
thumbnail
This project analyzies projected changes in the frequency and intensity of extreme weather events across the Great Lakes region, namely heat waves, cold spells, heavy precipitation events, and droughts, using a statistically downscaled climate product produced by the Climate Working Group of the Wisconsin Initiative on Climate Change Impacts (WICCI). It will perform a probabilistic exploration of weather extremes, ideally tailored toward decision-makers who are developing impact assessments at a regional scale across the Great Lakes region.
thumbnail
Alaska is an expansive state with abundant water resources. The complex landscape is defined by water and ice, but Alaska lacks quality mapping of its surface water features. The Alaska Hydrography Technical Working Group and Alaska Hydrography Database have worked to establish the Alaska Hydrography Strategic Plan to promote and guide a core mission to efficiently serve the current and future hydrography needs of Alaska for the next five years. This work will update the state’s hydrography in the National Hydrography Database from its current condition to meet national 1:24,000-scale standards. This work has focused on coordination of hydrography needs with partners and land managers, planning for the future hydrography...
thumbnail
The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
thumbnail
Over the last 3 years, high-resolution LiDAR elevation data has been acquired for much of the northern coast of Alaska in support of the USGS Coastal and Marine Geology Program’s National Assessment of Shoreline Change project. Because of funding limitations, LiDAR data were not collected over most river deltas and embayments. Subsequent discussions with scientists and managers from both public agencies and private organizations indicated a need and desire to fill the gaps in the coastal elevation data set, specifically over the low-lying deltas and estuaries that provide important habitat for migratory birds and other wildlife. The Arctic LCC provided support to help cover costs associated with acquiring and processing...
thumbnail
The code repository for the quality controll processing, data creation, modelling, and mapping or trend estimation is at https://github.com/USFWS/ACP-Mapping. The full history of the quality control process and issues is documented in R code file in this repository. Please report any addition errors to https://github.com/USFWS/ACP-Mapping/issues and follow update of this repositiry to keep track of new errors and updates to data sets, maps, or trend estimates.
thumbnail
Many ecosystem models, particularly those that are “mechanistic” (based on an understanding of processes), are over-parameterized (not identifiable). As a result, model parameters are selected (not estimated using an optimization technique), parametererror/covariance terms become extremely difficult to estimate, and Monte Carlo error propagation does not adequately capture the effect of all uncertain model terms. In those situations, techniques that evolved from Regional (Generalized) Sensitivity Analysis (RSA), such as Generalized Likelihood Uncertainty Estimation (GLUE), Bayes Monte Carlo, and Markov Chain Monte Carlo (MCMC), are preferred techniques for model error propagation. These techniques can be used to...
thumbnail
The primary objective of this project is to develop a short synthesis report assessing 11 habitats, using a variety of ecological indicators. The report will be one tool that the South Atlantic LCC can use to inform decision-makers, stakeholders, and the general public about the health of South Atlantic habitats. To achieve this project, six discrete project tasks have been identified and are outlined in the next section.1) Project start-up and pre-workshop preparation: IAN will carefully review the Conservation Blueprint habitats and the indicators used to assess the health of these habitats. We will become familiar with the thresholds and data analysis that the South Atlantic LCC is using for their project. This...
thumbnail
This mapping project is a collaboration among the U.S. Fish and Wildlife Service (Service) and staff from the Arkansas Game and Fish and Natural Heritage Commissions. It provides general information on the potential environmental risk to species of concern and sensitive habitats from proposed wind energy projects in Arkansas. The purpose of the map is to assist wind energy developers with appropriate siting of proposed wind energy projects as described in the Service’s 2012 Land-Based Wind Energy Guidelines (Land-Based Wind Energy Guidelines FWS.gov), particularly during Tiers 1 (Preliminary Site Evaluation) and 2 (Site Characterization) of the decision framework. The map provides general guidance and should not...
thumbnail
The Blueprint uses a least-cost path connectivity analysis to identify connections between priority areas. A program called Linkage Mapper defines corridors that link hubs across the shortest distance possible, while also routing through as much Blueprint priority as possible. Inland corridors connect large patches of highest priority Blueprint areas and/or protected lands. Marine and estuarine corridors connect large estuaries and/or large patches of highest priority Blueprint areas, within broad marine mammal movement areas.INLAND HUBS & CORRIDORSINLAND RESISTANCE RASTERThis is the resistance raster or cost surface used in the Linkage Mapper-based connectivity analysis for the inland portion of the Base Blueprint...
thumbnail
In collaboration with the Mississippi Department of Wildlife, Fisheries, and Parks Natural Heritage Program, the U.S. Fish and Wildlife Service (Service) developed the Mississippi Solar Siting Tool to provide stakeholders the general guidance necessary to reduce potential adverse impacts to sensitive habitats and species in Mississippi when siting proposed solar energy projects. The purpose of the map is to assist solar energy developers in screening environmentally sensitive areas compared to areas where lower environmental impacts are anticipated. The decision framework is similar to that described in the Service’s 2012 Land-Based Wind Energy Guidelines (Land-Based Wind Energy Guidelines), particularly during...
thumbnail
This indicator depicts an area’s capacity to maintain species diversity and ecosystem function in the face of climate change. It measures two factors that influence resilience. The first, landscape diversity, reflects the number of microhabitats and climatic gradients created by topography, elevation, and hydrology. The second, local connectedness, reflects the degree of habitat fragmentation and strength of barriers to species movement. Highly resilient sites contain many different habitat niches that support biodiversity, and allow species to move freely through the landscape to find suitable microclimates as the climate changes. This indicator originates from The Nature Conservancy’s Resilient Land data. Reason...
thumbnail
This indicator measures the percent of perennial forbs and perennial grass to evaluate grassland condition across the Great Plains. Grasslands in this area with a high percentage of perennials are less likely to be impacted by woody encroachment, less susceptible to non-native annual grasses, and more likely to support important plants, birds, and pollinators. This indicator originates from Rangeland Analysis Platform vegetation cover data. Reason for Selection The extensive grasslands of the Great Plains once stretched from Canada to Mexico, with a plant community dominated by native perennials and forbs. However, conversion to agriculture and other land uses have significantly reduced their extent, while overgrazing...
thumbnail
This indicator identifies areas with existing pine trees that, if managed for open condition, could support a population of three umbrella bird species (brown-headed nuthatch, Bachman’s sparrow, red-cockaded woodpecker). It evaluates potential habitat based on each species’ habitat needs and population dynamics, prioritizing opportunities to restore and manage habitat to benefit open pine birds. Final scores reflect both the selectiveness of the species and whether an area meets the habitat requirements through one large patch, or clusters of smaller patches in sufficiently close proximity for breeding pairs to disperse. This indicator updates the Lower Mississippi Valley Joint Venture’s open pine decision support...
map background search result map search result map Shared Conservation Priorities Assessment 2012 Future Changes in Weather Extremes Derived from Statistically Downscaled Climate Projections for the Great Lakes Region Synthesis of South Atlantic ecosystem health indicators Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models Bringing Alaska’s Freshwater Hydrography into the 21st Century North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Resilient Terrestrial Sites Great Plains Perennial Grasslands West Costal Plain & Ouachitas Open Pine Birds Wildlife and Habitat Risk Map for Wind Energy Projects in Arkansas TEST Metadata Wildlife and Habitat Risk Map for Wind Energy Projects in Mississippi Arctic Coastal Plain Aerial Survey Github Code Repository North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Wildlife and Habitat Risk Map for Wind Energy Projects in Mississippi Wildlife and Habitat Risk Map for Wind Energy Projects in Arkansas Arctic Coastal Plain Aerial Survey Github Code Repository Synthesis of South Atlantic ecosystem health indicators Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models Shared Conservation Priorities Assessment 2012 Future Changes in Weather Extremes Derived from Statistically Downscaled Climate Projections for the Great Lakes Region Resilient Terrestrial Sites Great Plains Perennial Grasslands West Costal Plain & Ouachitas Open Pine Birds TEST Metadata Bringing Alaska’s Freshwater Hydrography into the 21st Century