Skip to main content
Advanced Search

Filters: partyWithName: LCC Network Data Steward (X)

3,426 results (16ms)   

Filters
Date Range
Extensions (Less)
Types (Less)
Contacts (Less)
Categories (Less)
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Information about economic activity was obtained from the National Cohesive Wildland Fire Management Strategy (cohesivefire.nemac.org). Data were derived from the USDA Economic Research Service to create a county-level measure of Dominant Economic Activity (county economic dependence). This describes the most prevalent kind of economic activity, which includes activities from farming, mining, and manufacturing to government employment and the service industry. The Appalachian economy is diverse and geographically variable; for example, manufacturing is spread throughout the region, whereas mining activities are located more centrally. Data are from 2004.The mission of the USDA Economic Research Service is to inform...
thumbnail
Across the Tennessee River Basin is a collaboration within the Appalachian LCC bringing together multiple agencies and stakeholders in a joint effort to plan and deliver landscape conservation actions to protect one of the most diverse areas for aquatic species in North America.The mainstem Tennessee River winds its way for roughly 650 miles through Tennessee, Alabama, Mississippi, back into Tennessee, and finally into Kentucky, where it empties into the Ohio River. Streams from these states, but also North Carolina and Georgia, feed the river along its course. Indeed, the entire basin encompasses over 40,000 square miles. Five major physiographic provinces are represented within the basin: the Blue Ridge, the Valley...
The “Assessment and Inventory of Ecosystem Services and Environmental Threats” research project will deliver an inventory of existing ecosystem services assessments, products, and decision-support or visualization tools conducted within the Appalachian LCC boundary. The inventory will document and assess the classification, methodology used, describe priority ecosystem services and how they were identified, and provide economic valuations if available. Research will also involve a regional survey and workshops within our boundary to assemble a list of high priority economic goods and services and nonā€monetized values and benefits that are dependent on Appalachia’s natural assets while identifying the associated...
Find here the agendas, notes, and presentations associated with the November 2016 TRBN Quarterly Webinar
August 15-16, 2017 Tennessee Aquarium, Chattanooga, TN Post-Meeting Summary
thumbnail
Average historical annual total precipitation (mm) and projected relative change in total precipitation (% change from baseline) for Northern Alaska. 30-year averages. Handout format. Maps created using the SNAP 5-GCM composite (AR5-RCP 8.5) and CRU TS3.1.01 datasets.
Although biotic responses to contemporary climate change are spatially pervasive and often reflect synergies between climate and other ecological disturbances, the relative importance of climatic factors versus habitat extent for species persistence remains poorly understood. To address this shortcoming, we performed surveys for American pikas (Ochotona princeps) at > 910 locations in 3 geographic regions of western North America during 2014 and 2015, complementing earlier modern (1994–2013) and historical (1898–1990) surveys. We sought to compare extirpation rates and the relative importance of climatic factors versus habitat area for pikas in a mainland-versus-islands framework. In each region, we found widespread...
Bromus tectorum (cheatgrass) has widely invaded the Great Basin, U.S.A. The sporadic natural phenomenon of complete stand failure (‘die- off’) of this invader may present opportunities to restore native plants. A recent die-off in Nevada was precision-planted with seeds of the native grasses Poa secunda (Sandberg bluegrass) and Elymus elymoides (bottlebrush squirreltail), of both local and nonlocal origin, to ask: 1) Can native species be restored in recent B. tectorum die-offs? And 2) Do local and nonlocal seeds differ in performance? Additionally, we asked how litter removal and water addition affected responses. Although emergence and growth of native seeds was lower in die-off than control plots early in year...
thumbnail
The American Tree Sparrow is a common breeding bird of boreal and tundra dominated habitatsin northern Canada and Alaska. This species breeds in open scrubby areas; willow, birch, andalder thickets, stunted spruce, open tundra with scattered shrubs, often near lakes or bogs(Naugler 1993). In summer American Tree Sparrows consume a wide variety of animal prey(primarily both larval and adult insects). Alaskan birds are short-distance migrants and winter intemperate North America (Naugler 1993). This species’ population is very large (>10 million)although the overall population has undergone a small (statistically insignificant) decrease overthe last 40 years in North America (Butcher and Niven 2007).
thumbnail
The Long-billed Dowitcher is a medium-sized shorebird that commonly breeds on the ArcticCoastal Plain of Alaska. This species nests in higher densities in the western portion of thecoastal plain compared to the east (Johnson et al. 2007). They prefer wet grassy meadows fornesting often showing an affinity for sedge-willow, wet meadow or sedge marsh along drainagesor near ponds (Takekawa and Warnock 2000). Long-billed Dowitchers generally migrate west ofthe Mississippi River and winter primarily along the Pacific and Gulf Coasts of North Americainto Mexico (Takekawa and Warnock 2000). Current population estimate of the North Americanpopulation is 400,000 (Morrison et al. 2006).
thumbnail
The White-rumped Sandpiper is a small shorebird that is a relatively rare breeder in ArcticAlaska. They nest in coastal wetlands between Barrow and Cape Halkett on the Arctic CoastalPlain of Alaska
thumbnail
The Western Sandpiper is one of the most abundant sandpipers in the western hemisphere. InAlaska, the core of its breeding population is in the Yukon-Kuskokwim River Delta. It alsobreeds less commonly in the western portion of the North Slope (Johnson et al. 2007). Thisspecies nests in well-drained moist to upland tundra habitats dominated by dwarf shrubs andtussock grasses (Wilson 1994).
In Alaska, changes in snow, ice, and weather, have resulted in risks to human lives, infrastructure damage, threats to valuable natural resources, and disruption of hunting, fishing, and livelihoods.Leaders from the Aleutians to the Chukchi Sea came together for a series of Coastal Resilience and Adaptation Workshops, spearheaded by three Landscape Conservation Cooperatives and the Aleutian Pribilof Islands Association. Tribal leaders, resource managers, community planners, and scientists explored strategies to adapt to these unprecedented changes.The workshop series brought together 14 Organizing Partners 34 Tribes, 15 State & Federal Agencies, and a total of more than 200 participants to meet in four regional...
Categories: Data; Tags: Academics & scientific researchers, Aleutian Bering Sea Islands LCC data.gov, CLIMATE ADVISORIES, CLIMATE ADVISORIES, CLIMATE INDICATORS, All tags...
The Aleutian archipelago is an area that is rich in cultural history. Information about cultural sites and artifacts exists in a variety of formats including peer-reviewed publications, agency reports, and other records. The purpose of this project is to: (1) develop GIS data layer(s) of cultural sites that can be used in vulnerability assessments; and (2) develop an annotated bibliography of literature about cultural resources that can help guide future management and research in the region.
thumbnail
These rasters represent output from the Boreal ALFRESCO (Alaska Frame Based Ecosystem Code) model. Boreal ALFRESCO operates on an annual time step, in a landscape composed of 1 x 1 km pixels, a scale appropriate for interfacing with mesoscale climate and carbon models. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Coverage of this dataset includes much of the state of Alaska (but does exclude Southeastern AK, Kodiak Island, portions of the Alaska Peninsula, and the Aleutian Islands)....
thumbnail
Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_CCCMA_CGCM31_A1B_annual_2000-2009.tif represents the decade spanning 2000-2009. The data were generated by using the Hamon equation and output from CCCMA (also CGCM3.1), a third generation coupled global climate model created by the Canadian Centre for Climate Modeling and Analysis. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal...
thumbnail
Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_MPI_ECHAM5_A1B_annual_2000-2009.tif represents the decade spanning 2000-2009. The data were generated by using the Hamon equation and output from ECHAM5, a fifth generation general circulation model created by the Max Planck Institute for Meteorology in Hamburg Germany. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal packages. Users...
thumbnail
Potential Evapotranspiration (PET): These data represent decadal mean totals of potential evapotranspiration estimates (mm). The file name specifies the decade the raster represents. For example, a file named pet_mean_mm_decadal_CRU_Historical_annual_1930-1939.tif represents the decade spanning 1930-1939. The data were generated by using the Hamon equation and output from a statistically downscaled version of the Hadley Centre’s CRU TS3.0 observational dataset. Data are at 2km x 2km resolution, and all data are stored in geotiffs. Calculations were performed using R 2.12.1 and 2.12.2 for Mac OS Leopard, and data were formatted into geotiffs using the raster and rgdal packages. Users are reminded that the PET estimates...
thumbnail
This raster, created in 2010, is output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated active layer thickness (ALT) in meters averaged across a decade. The file name specifies the decade the raster represents. For example, a file named ALT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated maximum depth (in meters) of thaw penetration (for areas with permafrost) or frost penetration (for areas without permafrost). If the value of the cell is positive, the area is underlain by permafrost and the cell value specifies the depth of the seasonally thawing layer above permafrost. If the value of the cell is negative, the ground is only seasonally...


map background search result map search result map Across the Tennessee River Basin Arctic LCC Boundary Map, Satellite Stand Age Projections 2080-2089 Active Layer Thickness 1990-1999 Potential Evapotranspiration 1920-1929: CRU Historical Dataset Potential Evapotranspiration 2020-2029: ECHAM5 - A1B Scenario White-rumped Sandpiper Western Sandpiper Long-billed Dowitcher American Tree Sparrow Annual Precipitation Maps - RCP 8.5, Millimeters Potential Evapotranspiration 2000-2009: CCCMA - A1B Scenario Dominant Economic Activity USDA Economic Research Service White-rumped Sandpiper Western Sandpiper Long-billed Dowitcher American Tree Sparrow Dominant Economic Activity USDA Economic Research Service Across the Tennessee River Basin Stand Age Projections 2080-2089 Active Layer Thickness 1990-1999 Potential Evapotranspiration 1920-1929: CRU Historical Dataset Potential Evapotranspiration 2020-2029: ECHAM5 - A1B Scenario Potential Evapotranspiration 2000-2009: CCCMA - A1B Scenario Arctic LCC Boundary Map, Satellite Annual Precipitation Maps - RCP 8.5, Millimeters