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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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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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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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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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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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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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These data represent a normalized least-cost corridor mosaic (see WHCWG 2010 and McRae and Kavanagh 2011) calculated using temperature gradients and a landscape integrity resistance raster following the climate gradient linkage-modeling methods outlined in Nuñez (2011), using an adapted version of the Linkage Mapper software (McRae and Kavanagh 2011). These data are depicted in Figure 5b in Nuñez (2011).This GIS dataset is one of several climate connectivity analyses produced by Tristan Nuñez for a Master’s thesis (Nuñez 2011) while a student at the School of Forest Resources at the University of Washington. The dataset was produced in part to assist the Climate Change Subgroup of the Washington Wildlife Habitat...
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This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
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We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
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We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
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The layers in this map service represent 4 different version of the final ALI Marxan model. Selection frequency layers show how often each hexagon was selected over 100 runs of a specific version. The "Best Solution" is not a perfect solution, but simply the best scoring solution out of 100 runs for each version.
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We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
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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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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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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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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...


map background search result map search result map ALI Marxan Analysis Results WMS CEC Protected Areas 500m resolution raster, clipped to GNLCC Boundary How-to article: Using GloVis for selecting and archiving imagery Ecosphere manuscript data and R code 2017 Spatial Conservation Priorities for Riverine and Riparian Systems In the Columbia Plateau Ecoregion Streamflow Monitoring on Upper Kuparuk and Putuligayuk Rivers (2010) ShoreZone Program on the North Slope of Alaska 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 2010-2019: ECHAM5 - A1B Scenario Potential Evapotranspiration 2050-2059: ECHAM5 - A1B Scenario Historical Stand Age 1980-1989 Historical Stand Age 1940-1949 Webinar: Whitebark Pine Genetic Restoration Progam for the Northern Rockies - Mary Frances Mahalovich Webinar: The Cabinet-Purcell Collaborative--A Trans-border Conservation Network Temperature-plus-Landscape Integrity Climate Gradient Corridors The great thaw: WP Article The great thaw: WP Article Streamflow Monitoring on Upper Kuparuk and Putuligayuk Rivers (2010) CEC Protected Areas 500m resolution raster, clipped to GNLCC Boundary How-to article: Using GloVis for selecting and archiving imagery Ecosphere manuscript data and R code ShoreZone Program on the North Slope of Alaska ALI Marxan Analysis Results WMS 2017 Spatial Conservation Priorities for Riverine and Riparian Systems In the Columbia Plateau Ecoregion Temperature-plus-Landscape Integrity Climate Gradient Corridors Webinar: Whitebark Pine Genetic Restoration Progam for the Northern Rockies - Mary Frances Mahalovich Webinar: The Cabinet-Purcell Collaborative--A Trans-border Conservation Network 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 2010-2019: ECHAM5 - A1B Scenario Potential Evapotranspiration 2050-2059: ECHAM5 - A1B Scenario Historical Stand Age 1980-1989 Historical Stand Age 1940-1949