Skip to main content
Advanced Search

Filters: Tags: Southern Rockies (X) > Types: OGC WFS Layer (X)

6 results (92ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Conclusions: In fragmented watersheds, macrohabitat attributes measured at the patch scale were far more effective in predicting trout translocation success than measurements taken at the landscape scale Thresholds/Learnings: As a course filter indicator of cutthroat trout translocation success, the study found that translocations have a greater than 50% chance of fruitful establishment in watersheds >14.7km2 in area. Synopsis: This study aimed to identify stream-scale and basin-scale macrohabitat attributes limiting successful translocation and persistence of native cutthroat trout populations in fragmented landscapes along the Rio Grande. The study developed models of habitat attributes measured at two scales...
thumbnail
Streamflow and basin-characteristic data are needed for a variety of scientific applications including estimation of flow in ungaged basins and hydro-ecological classification of rivers. The U.S. Geological Survey (USGS), in cooperation with the Bureau of Reclamation and the Southern Rockies Landscape Conservation Cooperative (SRLCC), selected a subset of streamgages across the SRLCC domain that could be used for future modeling efforts. A number of basin characteristics were calculated for the drainage basin delineated at each streamgage. Spatial features (gages, drainage basins) and their related attributes are contained within a geodatabase (SRLCC_Hydro.gdb). The extent of the historical peak flow information...
thumbnail
Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare...
thumbnail
Landscape Conservation Cooperatives (LCCs) are public-private partnerships composed of states, tribes, federal agencies, non-governmental organizations, universities, international jurisdictions, and others working together to address landscape and seascape scale conservation issues. LCCs inform resource management decisions to address broad-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are magnified by a rapidly changing climate. For further information go to https://www.fws.gov/science/catalog. The previous 2011 LCC Network Areas data is available at https://www.sciencebase.gov/catalog/item/52f2735ee4b0a6f0bd498c2f
thumbnail
FY2015Persistent ecosystem and anthropogenic disturbances and stressors are threatening sustainability of sagebrush ecosystems in the western US, and managers and policy makers are seeking strategic, holistic approaches for species conservation and ecosystem restoration. Recent research indicates that an understanding of ecosystem resilience to disturbance and resistance to nonnative invasive species can be used to prioritize management activities across large landscapes and determine the most appropriate actions at project scales. An interagency WAFWA working group has linked this understanding with breeding habitat probabilities for Greater and Gunnison sage-grouse, and developed a habitat decision matrix for...
thumbnail
This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Alaska, Aleutian and Berind Sea Islands, Appalachian, Arctic, Northwestern Interior Forest, All tags...


    map background search result map search result map U.S. Geological Survey Gap Analysis Project- Land Cover Data v2.2 Minimum habitat requirements for establishing translocated cutthroat trout populations. Using Resilience and Resistance Concepts to Develop a Strategic Approach for Managing Threats to Sagebrush Ecosystems and Greater Sage-Grouse in the Eastern Portion of the Range Drainage basins and characteristics for selected streamgages within the Southern Rockies Landscape Conservation Cooperative domain Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands Minimum habitat requirements for establishing translocated cutthroat trout populations. Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands Using Resilience and Resistance Concepts to Develop a Strategic Approach for Managing Threats to Sagebrush Ecosystems and Greater Sage-Grouse in the Eastern Portion of the Range Drainage basins and characteristics for selected streamgages within the Southern Rockies Landscape Conservation Cooperative domain U.S. Geological Survey Gap Analysis Project- Land Cover Data v2.2