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This collection contains the original “raw” survey data that were recorded and transcribed by each observer during the Yukon-Kuskokwim Delta (YKD) Aerial Breeding Pair Survey. Left-front and right-front seat observers recorded data on geese, swans, and cranes since 1985, while data on eiders, ducks, and waterbirds was recorded by a right-rear seat observer since 1989. These raw transcribed data should be used to produce updated quality-control (QC) datasets by running the quality assurance/quality control script “AKaerial.R” whenever the quality control procedures are revised or modified. The data files in this collection were named using the following naming convention: YKD(YKG)YYYY_RawObs_OOOO, where YKD=Duck...
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FY2014Although the future of sage grouse depends on the future of sagebrush, we have limited ability to anticipate impacts of climate change on sagebrush populations. Current efforts to forecast sagebrush habitat typically rely on species distribution models (SDMs), which suffer from a variety of well-known weaknesses. However, by integrating SDMs with complementary research approaches, such as historical data analysis and mechanistic models, we can provide increased confidence in projections of habitat change. Our goal is to forecast the effect of climate change on the distribution and abundance of big sagebrush in order to inform conservation planning, and sage grouse management in particular, across the Intermountain...
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The Yukon-Kuskokwim Delta (YKD) Aerial Breeding Pair Survey provides data on the spring abundance of targeted waterfowl species nesting on the YKD coastal zone in western Alaska. This region supports millions of waterbirds that comprise one of the largest and most important waterfowl breeding grounds in North America, including species of concern such as the red-throated loon (Gavia stellata), emperor goose (Chen canagica), Pacific black brant (Branta bernicla nigricans), common eider (Somateria mollissima), black scoter (Melanitta nigra), long-tailed duck (Clangula hyemalis), and the threatened spectacled eider (Somateria fischeri). The YKD goose, swan, and crane survey was first implemented in 1985 to monitor...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
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This collection contains the quality-control (QC) transcribed data from the Yukon-Kuskokwim Delta Aerial Breeding Pair Survey. These QC data were produced from the “raw” data using the R Package “AKaerial.” The raw data were evaluated against the current data standards in the ‘AKaerial data dictionary’ and saved to new QC data files with associated log files that document any changes that were made. From 1985 to 1997, observers recorded bird observations out to 200 meters from the aircraft using continuously running tape players (with a locational accuracy of +/- 5 km), while an automated voice recording survey program (with a spatial accuracy of +/- 0.5 km) was used to record data from 1998 to present. The data...
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This collection contains the quality-control (QC) transcribed data from the Arctic Coastal Plain Aerial Breeding Pair Survey. These QC data were produced from the “raw” data using the R Package “AKaerial.” The raw data were evaluated against the current data standards in the ‘AKaerial data dictionary’ and saved to new QC data files with associated log files that document any changes that were made. The data files in this collection were named using the following naming convention: ACP_YYYY_QCObs_OOOO, where ACP=Arctic Coastal Plain, YYYY=Year, QCObs=Quality control observations, and OOOO=observer’s first initial and last name. These data contain known errors. These data should not be used except as raw input for...
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This collection contains the report log files produced by the R Package “AKaerial” when the QC data were created from the raw transcribed data. The QC log files document the quality control process, data standards, and what changes (if any) were made to the QC data compared to the raw data. Each log file was named following the same file naming conventions: SSSYYYY_QCLog_OOOO, where; YKD=Duck data, YKG=Goose data, YYY=Year, and OOO=observer’s first initial and last name.
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This data release contains observation data, design transects, design strata, analysis estimates output, and associated metadata from the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey. The Alaska Arctic Coastal Plain Aerial Breeding Pair Survey provides data on distribution, abundance, and trend of 33 bird species that nest in northern Alaska. The survey has been conducted in its current form annually since 2007 with the exception of years 2020 and 2021. Methods generally follow the standard operating procedures for the Waterfowl Breeding Population and Habitat Survey. Primary uses of the survey data are to evaluate recovery status of Spectacled Eider (Somateria fischeri) and Steller’s Eider (Polysticta...
This file crosswalks each species in the raw transcribed data to a common name, scientific name, four-letter American Ornithological Union (AOU) species code, and provides species-specific decision logic for the analysis of Arctic Coastal Plain, Black Scoter, Copper River, and Yukon-Kuskokwim Delta aerial survey data.
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Aerial survey track files were recorded by each observer using Panasonic Toughpad or Toughbook computers running the software program “RECORD” (John I. Hodges, MBM-Alaska). The RECORD program was activated during the survey before arriving at the first transect and shut down after the last transect was completed, prior to engine shut-down. “Raw” track files recorded the flightpath of the aircraft including the area surveyed on each transect. GPS coordinates were captured every five seconds using a recreational grade receiver with an estimated positional accuracy of 5-10 meters after the software program was activated. These raw track files have not been quality checked, so they may contain missing or erroneous coordinates...
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This collection of files contains the reports that were produced when the raw data were quality-checked against the defined standards in the “Transcribed Data Dictionary” using the “GreenLight” function of the R Package “AKaerial.” The QC log files document the quality control process, data standards, and what changes (if any) were made in the QC data compared to the raw data. Each log file was named following the same file naming conventions: SSS_YYYY_QCLog_OOOO_yyyy-mm-dd, where; YKD = Duck data, YKG = Goose data or YYY=Year, OOOO = observer’s first initial and last name,yyyy-mm-dd = year, month, and day the AKaerial.R (“GreenLight”) function in was most recently executed
    map background search result map search result map Forecasting Changes in Sagebrush Distribution and Abundance Under Climate Change: Integration of Spatial, Temporal, and Mechanistic Models Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Packaged Data and Output Files Alaska Yukon-Kuskokwim Delta Aerial Breeding Pair Survey Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Track Files Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Data Quality Reports Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Alaska Yukon-Kuskokwim Delta Aerial Breeding Pair Survey Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Track Files Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Data Quality Reports Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Packaged Data and Output Files Forecasting Changes in Sagebrush Distribution and Abundance Under Climate Change: Integration of Spatial, Temporal, and Mechanistic Models