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In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries.; Smith, S.G., et al. 2011, Multispecies survey design for assessing reef-fish stocks, spatially explicit management performance, and ecosystem condition. Fisheries Research 109(2011)25-41; Brandt, M.E., et. al. 2009, A Cooperative Multi-agency Reef Fish Monitoring Protocol for the Florida Keys Coral...
Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Florida Keys National Marine Sanctuaries Reef Fish Monitoring, array, array-data, basis, basisOfRecord, All tags...
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ThThe purpose of the Coral Reef Evaluation and Monitoring Project (CREMP) is to monitor the status and trends of selected reefs in the Florida Keys National Marine Sanctuary(FKNMS). CREMP assessments have been conducted annually at fixed sites since 1996 and data collected provides information on the temporal changes in benthic cover and diversity of stony corals and associated marine flora and fauna. The core field methods continue to be underwater videography and timed coral species inventories. Findings presented in this report include data from 109 stations at 37 sites sampled from 1996 through 2008 in the Florida Keys and 1999 through 2008 in the Dry Tortugas. The report describes the annual differences (between...
Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Coral Reef Evaluation and Monitoring Project (CREMP), about, absence, accepted, acceptedNameAuthorship, All tags...
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In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries.; Smith, S.G., et al. 2011, Multispecies survey design for assessing reef-fish stocks, spatially explicit management performance, and ecosystem condition. Fisheries Research 109(2011)25-41; Brandt, M.E., et. al. 2009, A Cooperative Multi-agency Reef Fish Monitoring Protocol for the Florida Keys Coral...
Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Florida Keys National Marine Sanctuaries Reef Fish Monitoring, array, array-data, basis, basisOfRecord, All tags...
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The purpose of the Coral Reef Evaluation and Monitoring Project (CREMP) is to monitor the status and trends of selected reefs in the Florida Keys National Marine Sanctuary(FKNMS). CREMP assessments have been conducted annually at fixed sites since 1996 and data collected provides information on the temporal changes in benthic cover and diversity of stony corals and associated marine flora and fauna. The core field methods continue to be underwater videography and timed coral species inventories. Findings presented in this report include data from 109 stations at 37 sites sampled from 1996 through 2008 in the Florida Keys and 1999 through 2008 in the Dry Tortugas. The report describes the annual differences (between...
Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Florida Keys Coral Reef Monitoring Project1998, absence, aphia, area, array, All tags...
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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 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 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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Watersheds draining the Arctic Coastal Plain (ACP) of Alaska are dominated by permafrostand snowmelt runoff that create abundant surface storage in the form of lakes, wetlands, and beaded streams. These surface water elements compose complex drainage networks that affect aquatic ecosystem connectivity and hydrologic behavior. The 4676 km2 Fishand Creek drainage basin is composed of three watersheds that represent a gradient of theACP landscape with varying extents of eolian, lacustrine, and fluvial landforms. In each watershed, we analyzed 2.5-m-resolution aerial photography, a 5-m digital elevationmodel, and river gauging and climate records to better understand ACP watershed structureand processes. We show that...
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Stream physical parameter time series files for six or more beaded streams on the North Slope of Alaska in the Fish Creek Watershed near Nuiqsut. These include time series of water temperature (pool bed and surface and channel runs) and pool stage and correspond stream discharge developed from a rating curve.
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The Integrated Ecosystem Model is designed to help resource managers understand the nature and expected rate of landscape change. Maps and other products generated by the IEM will illustrate how arctic and boreal landscapes are expected to alter due to climate-driven changes to vegetation, disturbance, hydrology, and permafrost. The products will also provide resource managers with an understanding of the uncertainty in the expected outcomes.
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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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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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Baseline (1961-1990) average winter temperature in and projected change in temperature for for the northern portion of Alaska. For the purposes of these maps, ‘winter’ is defined as December - February. The Alaska portion of the Arctic LCC’s terrestrial boundary is depicted by the black line. Baseline results for 1961-1990 are derived from Climate Research Unit (CRU) TS3.1 data and downscaled to 2km grids; results for the other time periods (2010-2039, 2040-2069, 2070-2099) are based on the SNAP 5-GCM composite using the AR5-RCP 8.5, downscaled to 2km grids.
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The Gyrfalcon, the largest falcon, is an iconic bird of the circumpolar arctic and subarctic. Thisspecies nests primarily on precipitous cliff faces and typically utilizes nests built by other species(particularly Common Raven, Golden Eagle, and Rough-legged Hawk) (Booms et al. 2008).Gyrfalcon main prey includes bird species ranging in size from passerines to geese whileptarmigan are the preferred prey. Although not well documented, in winter this species movessouth throughout Canada and sometimes into the northern lower 48. Current population on theNorth Slope (tundrius subspecies) is estimated at 250 breeding pairs (USFWS 2000).
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The Red-necked Phalarope commonly breeds in both the Brooks Range foothills and ArcticCoastal Plain of Alaska. In Alaska, this species typically nests in wet tundra near water’s edge.It differs from the Red Phalarope in that it breeds further inland and at higher elevations (Rubegaet al. 2000). Like other phalaropes, this species depends on aquatic food sources for much of itsdiet (Rubega et al. 2000). Red-necked Phalaropes spend winter at sea in tropical waters in largenumbers off the west coast of South America (Rubega et al. 2000). Current North Americanpopulation estimate is 2.5 million with a declining trend (Morrison et al. 2006).
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This dataset includes Snow Free Date(sfdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Free Date is defined as day of the end of the core snow period(day of year). 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.“Day-of-year” (doy) output is expressed in Ordinal dates (“1” on 1 January, and “365” on 31 December). Dates have not been corrected for leap years. This output is appropriate for display purposes, as it is readily interpreted as calendar day of year. It is not recommended as input for analysis, as it may produce incorrect...
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 dataset includes Snow Depth(snod) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Depth is defined as depth on 1 March(m). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be thought of as...
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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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...


map background search result map search result map Coral Reef Evaluation and Monitoring Project Florida Keys 2001 Florida Keys Reef Visual Census 1996 Florida Keys Reef Visual Census 1994 Coral Reef Evaluation and Monitoring Project Florida Keys 1998 SNOWDATA GeoTIFF Annual Snow Free Date (year) Western Arctic Coastal Plain, IfSAR DSM Mosaic Footprint SNOWDATA GeoTIFF Annual Snow Depth IEM-CSC Factsheet with Supplement, 2015 Drainage Network Structure and Hydrologic Behavior of Three Lake-Rich Watersheds on the Arctic Coastal Plain, Alaska Western Arctic Coastal Plain, Coastline and Coastal Features Red-necked Phalarope Fish/Judy Creek Watershed map Fish Creek Watershed Data Potential Evapotranspiration 2040-2049: ECHAM5 - A1B Scenario Annual Temperature Maps - RCP 6.0, Fahrenheit Gyrfalcon Vegetation dynamics related to climate and  land use in Puerto Rico and the US Virgin Islands Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919 Florida Keys Reef Visual Census 1994 Coral Reef Evaluation and Monitoring Project Florida Keys 2001 Florida Keys Reef Visual Census 1996 Coral Reef Evaluation and Monitoring Project Florida Keys 1998 Drainage Network Structure and Hydrologic Behavior of Three Lake-Rich Watersheds on the Arctic Coastal Plain, Alaska Fish Creek Watershed Data Vegetation dynamics related to climate and  land use in Puerto Rico and the US Virgin Islands Western Arctic Coastal Plain, IfSAR DSM Mosaic Footprint Western Arctic Coastal Plain, Coastline and Coastal Features Fish/Judy Creek Watershed map Red-necked Phalarope Gyrfalcon SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual Snow Depth IEM-CSC Factsheet with Supplement, 2015 Potential Evapotranspiration 2040-2049: ECHAM5 - A1B Scenario Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919 Annual Temperature Maps - RCP 6.0, Fahrenheit