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Filters: Tags: Ecosystems (X) > Date Range: {"choice":"year"} (X) > Types: OGC WMS Layer (X) > partyWithName: U.S. Fish and Wildlife Service, Alaska Region (X)

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This is the GeoPackage (“TMG_AdditionalArea_Trans.gpkg”) that contains the layer (“main.TMG_Area_Trans”) depicting the spatial extent of the four Additional Survey Area transects that are surveyed during the annual MBM-AK TLSA molting goose aerial surveys. This GeoPackage (NAD83; ESPG: 3338) was created by Michael Swain in August 2021 and subsequently emailed to Maggie Harings. It includes waterbody units, waterbody types, and waterbody perimeter as well as their areas.Transects do not exist for Cape Simpson as this area is adequately assessed by conducting aerial surveys for lakes only. Piasuk River Delta area is surveyed using a combination of aerial lake surveys and transects. Colville River Delta and Atigaru...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
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This R code (Nest_Cards_QC.R) is used to process the raw legacy nest card data (1985 - 2019) and produce the quality controlled legacy nest card data for analysis and sharing. This code does not quality control the double searched plots (R2 plots in 1995-99), which is done in the file ‘PrepData.R’. Basic operations include transforming missing value to a common code, transforming other variable to match the data dictionary for nest cards, and resolving non-unique observer initials. The code requires the raw data (“1985-2019_Nest Cards_10-24-19_cleaned.xlsx”) and the table of observer names (“Observer Names_1985-2019_10-24-19.xlsx”). The code writes the QC nest card file “Nest_Cards_1985_2019_QC.csv”. Mostly obseration...
Categories: Data, Software; 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 is an incomplete collection of track files produced during the MBM-AK TLSA molting goose survey flights. They reference latitude, longitude, and time in total seconds in the day. These files are called by R code (‘TMGSurvey_Master_2019.Rmd’ located in ‘GitHub_Annual_Report_Code’). Following review of this code, it appears as though these transcripts were not ultimately used in any way. Please consult ‘TMGSurvey_Master_2019.Rmd’ for additional context. Track file naming format is as follows: ‘TR[date][firstInitialLastNameOfObserver].csv’; HWilson refers to Heather Wilson while BShults refers to Brad Shults.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
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This is the collection of raw data was collected during MBM-AK TLSA annual molting goose surveys. Partial quality control has been completed for these data: following each survey, the observer listened to their survey recording that documented counts along transects and then transcribed these findings into these raw datasets (‘raw_data’). The observer listened to their recording a second time in order to confirm that their transcriptions were correct. Further quality control and tidying was completed for these raw data using R scripts noted by the file extension ‘.Rmd’ located in the ‘GitHub_Annual_Report_Code’ folder. Ultimately, these scripts produced final datasets (‘final_data’) containing data used in annual...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
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R code that takes in the nest capture history data (chdata.csv), reformats it for model fitting in Program Mark via the R package RMark. A series of models of increasing complexity are fit and compared using AIC. Output is written to text files for each model but is generally not used or saved. Code can be run to generate model results and R workspaces/ object to inspect parameter estimates. The primary purpose of this code is to explore model structures for predicting detection and as an attempt to reproduce historically used parameter estimates in past nest plot reports (e.g., Fischer et al. 2017 and earlier). Results from ‘Model 7’ are most similar to detection estimates used in the past.
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, BIOLOGICAL CLASSIFICATION, BIOLOGICAL CLASSIFICATION, All tags...
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These are the observer names, observer initials, year, and unique observer number for all observe that collected data on the YKD nest plot project from 1985 to 2019. This data is used with the nest card data to in various ways, but primarily to calculate cumulative observer experience for nest detection rates. This file is also used for quality control and reconciling non-unique observer initials across years.
Categories: Data; 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 is the YKD egg observation data reformatted from the nest card data (‘Nest_Cards_1985_2019_QC.csv’). The file eggs.R is used to produce this data set, and then this is further summarized into yearly stats on mean initiation and hatch dates to produce the file yearstats.csv.
Categories: Data; 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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From 1995 to 1999, a subset of nest plots were searched twice by field crews to estimate nest detection probability by mark-recapture methods. Over the five years, 30 plots were searched twice and over 2700 unique nests were found. From these data, nest detection probability is estimated using a Huggins-type mark recapture model where individual-level covariate effects of nest and observer attributes were estimated. These estimates are then used to predict nest detection rates in other years based on covariates of nests and observers. Nest detection rates are then applied to annual plot search to estimate nest populations for each species in the sampled area.
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 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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R code that takes in the nest capture history data (chdata.csv), reformats it for model fitting in the Bayesian MCMC software JAGS via the R package jagsUI. Various generalized linear mixed models are fit using a Huggins two occasion capture history model structure as in Program Mark. A series of models of increasing complexity are fit and compared using DIC. Model text is written to text files for each model but is generally not used or saved. Posteriors are saved as Rworkspaces or written to text files for use in population estimation (nostpop.R). Code can be run to generate model results and R workspaces/objects to inspect parameter estimates. The primary purpose of this code is to compare various mixed model...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, BIOLOGICAL CLASSIFICATION, BIOLOGICAL CLASSIFICATION, All tags...
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This multi-layer GeoPackage contains the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey design transects from 2007 to present. The original transects were created as shapefiles and imported to this SQLite database. Transects were saved as individual polylines named according to the year they were created (e.g., “main.ACP_2007_Trans,” “main.ACP_2008_Trans,” “main.ACP_2009_Trans,” etc.). These aerial transects were developed systematically from randomly-selected start points and created along constant lines of latitude. The inter-transect spacing in the low, medium, high, and very-high density strata varies so that areas with higher waterfowl density are surveyed more intensively. The current four-year rotating...
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Originally created by Brad Shults, the GitHub repository was created for markdown code used to quality control survey data and create annual survey reports beginning in 2016. The repository can be found on GitHub (‘https://github.com/bsshults/Teshekpuk-Lake-Molt’). A copy of the master branch that was last committed by user “bsshults” (Brad Shults) on 2/24/20 was downloaded by Maggie Harings on 6/29/21 and stored on the Alaska Regional Data Repository (‘GitHub_Annual_Report_Code’). General file naming structure for repository files is: ‘TMGSurvey_Master_[surveyYear]’ Files ending in the file extension ‘.Rmd’ are used to conduct some quality control and data tidying for original survey data. These files contain comments...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
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This multi-layer GeoPackage contains the YKD Coastal Zone Survey design transects from 1985 to present. The original transects were imported to this SQLite database structure and saved as individual polylines named according to the year they were created (e.g., “main.YK_1985_Trans,” “main.YK_1986_Trans,” “main.YK_1987_Trans,” etc.). The aerial transects were developed systematically from randomly-selected start points and created along constant lines of latitude. The inter-transect spacing in the low, medium, high, and very-high density strata varies so that areas with higher waterfowl density are surveyed more intensively. Though the overall study area never changed, the YKD Survey design was modified several times,...
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This R code (eggs.R) inputs the quality controlled nest card data and (1) performs additional quality control on the egg code data, (2) reformat the eggs data into a tidy file of egg observations, (3) summarizes egg data into yearly means of initiation and hatch date based on incubation model, and (4) writes csv files for tidy egg data (eggs.csv) and yearly nest stats (yearstats.csv).
Categories: Data, Software; 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 data set provides the coordinates of plot centers, the area of each plot, plot type, and search history of the plot. Plots in this data set are linked through the combination of plot number and year provided in this file. Plot search history indicates if a plot was searched for nests. Plot shape and area has varied through time. After 1985, plot were selected by stratified random sampling, and after 1998 by simple random sampling from the area defined in ‘YKD Nest Plot Study Area Boundary.’ Plot shape has also varied but after 1998 was generally 1/4 by 1/2 mile.
Categories: Data; 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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In 2019 a pilot study was conducted to determine the feasibility of using distance sampling to estimate density and population size of goose and eider nests on the Yukon-Kuskokwim Delta (YKD). Distance sampling (Buckland et al. 2001) is a common and well-understood method to estimate wildlife population size or density, especially for sparse and hard-to-detect populations. A main advantage of distance sampling is that it accounts for imperfect detection and gives precise estimates for a given level of effort relative to other methods. The objectives for the pilot project in 2019 was to (1) determine if distance sampling is feasible on the YKD, (2) determine what aspects of the field protocol need to be changed or...
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This geopackage contains the density strata that were used to create the YKD Coastal Zone Survey’s current four-year rotating panel design. This file was derived from a mid-1980’s ArcInfo coverage, ‘Sampling Intensity’ (“SI arc”) that was produced through the visual interpretation of 1:250,000-scale LANDSAT imagery and the nesting density of cackling Canada geese.


map background search result map search result map Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata Teshekpuk Lake Alaska Molting Goose Survey Track Files Teshekpuk Lake Alaska Molting Goose Traditional Survey Area GeoPackage Teshekpuk Lake Alaska Molting Goose GitHub Markdown Code for Annual Survey Reports Teshekpuk Lake Alaska Molting Goose Additional Survey Area Transects GeoPackage Teshekpuk Lake Alaska Molting Goose Raw Aerial Survey Data Alaska Yukon Delta Nest Distance Sampling Pilot Project Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Double Observer Nest Plot Detection Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Distance Sampling Field Protocol Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Data 1985 - 2019 Alaska Yukon Delta Nest Plot Survey Observer Names 1985 - 2019 Alaska Yukon Delta Plot Location, Size, and Search Historic Data 1985 - 2019 Alaska Yukon Delta Tidy Eggs data R Code Alaska Yukon Delta Tidy Egg Data 1985 - 2019 Alaska Yukon-Kuskokwim Delta Aerial Survey Design Strata Alaska Yukon-Kuskokwim Delta Aerial Survey Design Transects Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Alaska Yukon Delta Nest Distance Sampling Pilot Project Teshekpuk Lake Alaska Molting Goose Survey Track Files Teshekpuk Lake Alaska Molting Goose Traditional Survey Area GeoPackage Teshekpuk Lake Alaska Molting Goose GitHub Markdown Code for Annual Survey Reports Teshekpuk Lake Alaska Molting Goose Additional Survey Area Transects GeoPackage Teshekpuk Lake Alaska Molting Goose Raw Aerial Survey Data Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Double Observer Nest Plot Detection Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Distance Sampling Field Protocol Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Data 1985 - 2019 Alaska Yukon Delta Nest Plot Survey Observer Names 1985 - 2019 Alaska Yukon Delta Plot Location, Size, and Search Historic Data 1985 - 2019 Alaska Yukon Delta Tidy Eggs data R Code Alaska Yukon Delta Tidy Egg Data 1985 - 2019 Alaska Yukon-Kuskokwim Delta Aerial Survey Design Strata Alaska Yukon-Kuskokwim Delta Aerial Survey Design Transects Alaska Yukon-Kuskokwim Delta Aerial Survey Analysis File Summary Reports Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata