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This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
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This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: see below under 'Related Resources' or 'Child Items' for links to specific Phase 2 Channel Islands data files. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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The Wind River Reservation in Wyoming contains over 2 million acres of the best and most diverse and intact habitats in the contiguous US. It is home to the Eastern Shoshone and Northern Arapaho Tribes. In collaboration with Tribal Fish and Game, the USFWS Lander Fish and Wildlife Conservation Office and the USGS Wyoming Cooperative Research Unit, partners have been conducting an investigation of the migration patterns of 113 GPS-collared mule deer that began in 2018. As part of our SA diversity and inclusion efforts with a $60,500 investment, this project will extend the ongoing work and engage various segments of the tribal community in the research as a means to further understanding of fish and wildlife management...
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To better inform conservation efforts targeted at reversing grassland bird declines and ensure self-sustaining populations of at-risk species such as the lesser prairie-chicken (Tympanuchus pallidicinctus), a better understanding of broad-scale habitat availability for grassland birds is needed. his project will evaluate the utility of NDVI and phenology-based metrics in estimating lesser prairie-chicken reproductive habitat quality remotely over broad spatial scales.1. Evaluate the influence of grazing, fire, and precipitation on NDVI-related metrics in the Central and Southern Great Plains.2. Identify NDVI-related metrics that best distinguish lesser prairie-chicken reproductive habitat from non-habitat. 3. Relate...
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The US Prairie Pothole Region (PPR) has experienced some of the highest rates of grassland loss in North America over a time that coincides with dramatic declines in grassland songbird populations yet increasing abundance of most grassland-nesting duck species except for northern pintail. To provide more insight into this contradiction, we propose to capitalize on long-term databases to evaluate how a key population driver nest survival for North American ducks has responded to system changes in the region including landscape and climatic factors. Outcomes of these analyses will contribute to testing primary conservation planning assumptions for the PPJV a vital component of the PPJV Strategic Habitat Conservation...
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Using a solutions-oriented, multi-agency collaboration, we propose to pilot a large-scale assessment of an alternative (herding, electric- and virtual-fence) grazing strategy designed to mimic pre-colonial grazing patterns by bison, to ascertain their value for local- and regional-scale assemblages ofsagebrush- and grassland-associated birds in Montana. A fundamental goal of most wildlife-based grazing programs is to foster a mosaic of patches that represent the broadest possible spectrum of habitat types that benefits different sagebrush- and grassland-associated birds in different parts of the landscape (for example, western meadowlarks, vesper sparrows, and thick-billed longspur in open, heavily grazed areas;...
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We created an enduring features (EF, ecological site type, geophysical setting) dataset for Oklahoma that is similar to the EF dataset we created for Texas (see Diamond et al. 2016, Diamond and Elliott 2015, Elliott et al. 2014), . Digital soil map unit polygons (MUs), variables derived from digital elevation models (e.g. percent slope), and landform models (e.g. low, gentle slopes and flats in the Ozark and Ouachita Mountains) were combined to form this dataset. Among these, the low flats of the Ozark and Ouachita Mountains were most complicated to model because the sites had a low slope but were occupied by dry-mesic forest (in contrast to the low slope of uplands, which tended to be drier). A combination of slope...
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Population fragmentation compromises population viability, reduces a species ability to respond toclimate change, and ultimately may reduce biodiversi ty. We studied the current state and potential causes offragmentation in grizzly bears over approximat ely 1,000,000 km of western Canada, the northern United States(US), and southeast Alaska. We compiled much of our data from projects undertaken with a variety of researchobjectives including population estimation and trend, landscape fragmentation, habitat selection, vital rates, andresponse to human development. Our prim ary analytical techniques stemmed from genetic analysis of 3,134 bears,supplemented with radiotelemetry data from 792 bears. We used 15 locus microsatellite...
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The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
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This is a test metadata collection record. This is only a test. This is more text to see if updating works. This is even more text that means nothing to see if further updating still works.


map background search result map search result map Rainwater Basin Image Library - 2016 Spring CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Santa Barbara County CoSMoS 3.0 Phase 2 ocean-currents hazards: 100-year storm in Santa Barbara County CoSMoS v3.0 Phase 2 - Channel Islands CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Ventura County CoSMoS 3.0 Phase 2 water level projections: 20-year storm in Orange County CoSMoS 3.0 Phase 2 water level projections: average conditions in Orange County CoSMoS 3.0 Phase 2 ocean-currents hazards: 20-year storm in Orange County CoSMoS v3.0 water level projections: 100-year storm in Channel Islands Oklahoma Enduring Features Slideshow Presentation File: Grizzly bears, fragmentation, connectivity, and management in the Canada - US trans-border region Population Fragmentation and Inter-EcosystemMovem ents of Grizzly Bears in Western Canada andthe Northern United States Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 CoSMoS v3.1 ocean-currents hazards: 20-year storm in Monterey County CoSMoS v3.1 ocean-currents hazards: 100-year storm in Monterey County Patterns of greenness (NDVI) in the Southern Great Plains and their influence on the habitat quality and reproduction of a declining prairie grouse Wind River Tribal Engagement/Mule Deer Migration Evaluating patterns of long-term system change and demographic response for grassland nesting ducks in the US Prairie Pothole Region Assessing Traditional and Emerging Grazing Strategies for Creating a Mosaic of Diverse Habitat Patches for Grassland- and Sagebrush Associated Birds Test mdRecord CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Ventura County Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Santa Barbara County CoSMoS 3.0 Phase 2 ocean-currents hazards: 100-year storm in Santa Barbara County CoSMoS 3.0 Phase 2 water level projections: 20-year storm in Orange County CoSMoS 3.0 Phase 2 water level projections: average conditions in Orange County CoSMoS 3.0 Phase 2 ocean-currents hazards: 20-year storm in Orange County CoSMoS v3.1 ocean-currents hazards: 20-year storm in Monterey County CoSMoS v3.1 ocean-currents hazards: 100-year storm in Monterey County Wind River Tribal Engagement/Mule Deer Migration CoSMoS v3.0 Phase 2 - Channel Islands CoSMoS v3.0 water level projections: 100-year storm in Channel Islands Rainwater Basin Image Library - 2016 Spring Slideshow Presentation File: Grizzly bears, fragmentation, connectivity, and management in the Canada - US trans-border region Population Fragmentation and Inter-EcosystemMovem ents of Grizzly Bears in Western Canada andthe Northern United States Oklahoma Enduring Features Assessing Traditional and Emerging Grazing Strategies for Creating a Mosaic of Diverse Habitat Patches for Grassland- and Sagebrush Associated Birds Patterns of greenness (NDVI) in the Southern Great Plains and their influence on the habitat quality and reproduction of a declining prairie grouse Evaluating patterns of long-term system change and demographic response for grassland nesting ducks in the US Prairie Pothole Region Test mdRecord