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Temperatures are warming fastest at high latitudes and annual temperatures have increased by 2-3˚ C in the Arctic over the second half of the 20th century. Shorebirds respond to cues on theiroverwintering grounds to initiate long migrations to nesting sites throughout the Arctic. Climatedrivenchanges in snowmelt and temperature, which drive invertebrate emergence, may lead to alack of synchrony between the timing of shorebird nesting and the availability of invertebrateprey essential for egg formation and subsequent chick survival. To explore the drivers andpotential magnitude of climate-related shifts in the availability of invertebrate prey, we modeledthe biomass of invertebrates captured in modified Malaise traps...
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More information is needed about species composition, abundance, or distribution of the microfauna and meiofauna living within the interstitial spaces of the littoral zones along the Beaufort Sea coast. Shorebirds depend on meiofauna for food for pre-migratory fattening and these organisms make important contributions to bioremediation of oil spills.The information obtained from this jointly-funded research can contribute to development of mitigation measures and strategies to reduce potential impacts from post-lease exploration and development. This information need extends to the lower trophic levels forming the base of these complex food webs and the biochemistry that influences these relationships. Their contributions...
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LCC funding for this project helped maintain a network of hydrology monitoring sites in a representative watershed of the Arctic Coastal Plain. The work was conducted within the context of climate change and impending oil and gas activities in the region, the latter of which is the impetus for focusing on the Fish Creek watershed. The project included two monitoring components:1) Beaded Stream & Lake Hydrology Monitoring (dominant habitat type within the watershed): in 6 stream/lake complex watersheds (Redworm, Hannahbear, Blackfish, Crea, Oil, and Bills creeks), continuous water level and temperature (in lakes, streams, and confluences), discrete discharge measurements, and continuous water quality (specific conductivity,...
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To elucidate these potential “bottom up” effects of climate changes to Arctic ungulates and evaluate the trophic mismatch hypothesis, the Arctic Landscape Conservation Cooperative (ALCC), the Bureau of Land Management (BLM), the U.S. Geological Survey (USGS), Teck, Inc., and the National Park Service provided funding in 2012-14 to incorporate the calving and summer range of the Western Arctic caribou herd (WAH) into an ongoing inter-agency research and monitoring effort to examine the influences of climate change on the nutrient dynamics of caribou forages. This work is leveraging existing projects on the North Slope of Alaska that are primarily funded through the USGS Changing Arctic Ecosystems Initiative. Field...
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The Spectacled Eider is a medium-sized sea duck with males easily recognized by their striking“clown-like” head plumage. This species was listed as threatened in 1993 under the EndangeredSpecies Act as it has suffered severe population declines in western Alaska. The Arctic CoastalPlain population may also be declining. In Arctic Alaska, breeding Spectacled Eiders use riverdeltas and wet tundra habitats, including drained-lake basins, flooded wetlands, and islets withina matrix of thaw lakes for both nesting and foraging (Petersen et al. 2000). During the breedingseason, their diet consists primarily of both adult and larval aquatic insects (Petersen et al. 2000).Alaskan breeders spend their winters offshore in...
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The Alaska ShoreZone program has been able to document Arctic coastal biologyand dynamic processes through high resolution aerial imagery, videography, andground assessments: a snapshot in time of the ever changing Arctic coast. Some ofthe most spectacular of these images have been collected in this volume, CoastalImpressions: A Photographic Journey along Alaska’s Arctic Coast. Glance throughthese pages, study and ponder over them , then close your eyes and imagine.Wipe away your preconceived notions of the Arctic and learn about the gem thatis the true Arctic coast.
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These raster datasets are output from the Geophysical Institute Permafrost Lab (GIPL) model and represents simulated mean annual ground temperature (MAGT) in Celsius, averaged across a decade, at the base of active layer or at the base of the seasonally frozen soil column. These data were generated by driving the GIPL model with a composite of five GCM model outputs for the A1B emissions scenario. The file name specifies the decade the raster represents. For example, a file named MAGT_1980_1989.tif represents the decade spanning 1980-1989. Cell values represent simulated mean annual ground temperature (degree C) at the base of the active layer (for areas with permafrost) or at the base of the soil column that is...
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The Bureau of Ocean Energy Management (BOEM) is supporting a field effort in support of a ShoreZone mapping project along the Chukchi and Beaufort coasts. Funds from the LCC will allow for the inclusion of three additional ShoreStations. Researchers will conduct ground surveys to get detailed physical and biological measurements throughout the various and often unique Chukchi and Beaufort coastal habitats. Sediment samples will be archived from each shore station for hydrocarbon analyses in the event of a local or regional oil spill. The Arctic ShoreZone Shore Stations will be added to the statewide database and made available online to the public NOAA website.
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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)....
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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...
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This dataset includes Snow Up Date(sudt) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Up Date is defined as day of the start of the core snow period(day of simulation). The core snow season is defined to be the longest period of continuous snow cover in each year. The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The simulation period runs from 1 September – 31 August. “Day-of-simulation” takes the value of “1” on 1 September, “123” on 1 January, and “365” on 31 August. “Day-of-simulation” files should be used for analysis (trend, mean, etc.).The dataset is delivered in the ZIP archive file format. Each year is output in a...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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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...
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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...
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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...
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These raster datasets represent historical stand age. 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. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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Hydrologic data for the Alaska Arctic are sparse, and fewer still are long-term (> 10 year) datasets. This lack of baseline information hinders our ability to assess long-term alterations in streamflow due to changing climate. The Arctic LCC is provided stop-gap funding to continue this long time series hydrological data sets in the Kuparuk and Putuligayuk watersheds.
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More than 35,000 lakes larger than 0.01 sq. km. were extracted from an airborne interferometric synthetic aperture radar (IfSAR) derived digital surface model acquired between 2002 and 2006 for the Western Arctic Coastal Plain of northern Alaska. The IfSAR derived lake data layer provides an improvement over previously available datasets for the study area since it is more comprehensive and contemporary. Attributes assigned to the IfSAR-derived lake dataset include: area, lake elevation, elevation in 10, 25, 50, and 100 m buffers around a lake perimeter, the difference in elevation between the lake and these various buffers, whether a particular lake had a detectable drainage gradient exceeding 1.2 m, whether a...
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Interactions and feedbacks between abundant surface waters and permafrost fundamentally shapelowland Arctic landscapes. Sublake permafrost is maintained when the maximum ice thickness (MIT) exceedslake depth and mean annual bed temperatures (MABTs) remain below freezing. However, decliningMIT since the1970s is likely causing talik development below shallow lakes. Here we show high-temperature sensitivity towinter ice growth at the water-sediment interface of shallow lakes based on year-round lake sensor data.Empirical model experiments suggest that shallow (1m depth) lakes have warmed substantially over the last30years (2.4°C), withMABT above freezing5 of the last 7years.This is incomparison to slower ratesofwarming...
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Many Arctic shorebird populations are declining, and quantifying adult survival and the effects of anthropogenic factorsis a crucial step toward a better understanding of population dynamics. We used a recently developed, spatially explicitCormack–Jolly–Seber model in a Bayesian framework to obtain broad-scale estimates of true annual survival rates for 6species of shorebirds at 9 breeding sites across the North American Arctic in 2010–2014. We tested for effects ofenvironmental and ecological variables, study site, nest fate, and sex on annual survival rates of each species in thespatially explicit framework, which allowed us to distinguish between effects of variables on site fidelity versus truesurvival. Our...
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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...


map background search result map search result map Fish Creek Watershed Hydrology Monitoring Streamflow Monitoring on Upper Kuparuk and Putuligayuk Rivers (2010) SNOWDATA GeoTIFF Annual Snow Up Date Environmental and ecological conditions at Arctic breeding sites have limited effects on true survival rates of adult shorebirds Threshold sensitivity of shallow Arctic lakes and sublake permafrost to changing winter climate Climate Effects on Arctic Food Resources: Predictive Models for Surface-Available Invertebrate Biomass Arctic Impressions:  A Photographic Journey Along Alaska's Arctic Coast Western Arctic Coastal Plain, Lakes and Drainage Gradients ShoreZone Program on the North Slope of Alaska Evaluating the 'Bottom Up' Effects of Changing Habitats: Climate Changes, Vegetative Phenology, and the Nutrient Dynamics of Ungulate Forages Simulated Mean Annual Ground Temperature Stand Age Projections 2060-2069 Active Layer Thickness 2080-2089 Active Layer Thickness 2070-2079 Active Layer Thickness 2000-2009 Potential Evapotranspiration 2050-2059: ECHAM5 - A1B Scenario Historical Stand Age 1940-1949 Potential Evapotranspiration 2030-2039: CCCMA - A1B Scenario Spectacled Eider Shorebirds and Invertebrate Distribution on Delta Mudflats along the Beaufort Sea Threshold sensitivity of shallow Arctic lakes and sublake permafrost to changing winter climate Fish Creek Watershed Hydrology Monitoring Shorebirds and Invertebrate Distribution on Delta Mudflats along the Beaufort Sea Streamflow Monitoring on Upper Kuparuk and Putuligayuk Rivers (2010) Western Arctic Coastal Plain, Lakes and Drainage Gradients ShoreZone Program on the North Slope of Alaska Evaluating the 'Bottom Up' Effects of Changing Habitats: Climate Changes, Vegetative Phenology, and the Nutrient Dynamics of Ungulate Forages Spectacled Eider Arctic Impressions:  A Photographic Journey Along Alaska's Arctic Coast SNOWDATA GeoTIFF Annual Snow Up Date Simulated Mean Annual Ground Temperature Stand Age Projections 2060-2069 Active Layer Thickness 2080-2089 Active Layer Thickness 2070-2079 Active Layer Thickness 2000-2009 Potential Evapotranspiration 2050-2059: ECHAM5 - A1B Scenario Historical Stand Age 1940-1949 Potential Evapotranspiration 2030-2039: CCCMA - A1B Scenario Environmental and ecological conditions at Arctic breeding sites have limited effects on true survival rates of adult shorebirds Climate Effects on Arctic Food Resources: Predictive Models for Surface-Available Invertebrate Biomass