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The WBPHS is conducted by flying an aircraft along a set of segment lines. (One or more contiguous segments comprise a transect.) The geographic coordinates in WBPHS_Segment_Endpoints.csv represent the beginning and ending points of the segment lines in Alaska and Old Crow Flats (Yukon Territory) strata 1-12. The point coordinates in this file have been incorporated into various products (e.g., a GPS waypoints file) to aid in survey-flight navigation. The coordinates are in decimal degrees, WGS84 datum.The set of segments contained in this file was established in 1964. In the years 1957-1963, the survey design included many, but not all, of these segments. Additional segments were flown in some or all years during...
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In many areas surveyed during the North American WBPHS, ground surveys are conducted in conjunction with the aerial surveys to derive annual visibility correction factors (VCFs) for the aerial survey crews, which are used during analyses to adjust for detection bias. Due to the remoteness of strata 1–12, ground surveys are not conducted there. Instead, a set of fixed VCFs by species and basic habitat type (strata 1–7 = boreal forest; strata 8–11 = tundra; stratum 12) are used. The fixed VCFs that were used through 1991 were derived from work done in WBPHS prairie strata. During the years 1985–1991, efforts were made by the FWS Division of Migratory Bird Management-Alaska Region (MBM-Alaska) to develop more appropriate...
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WBPHS_Stratum_Areas.csv is a table that lists the area measurements (in square miles) for strata 1-12, as measured and adopted by survey designers in 1974. These measurements are used by MBM-AK in analyses to produce bird abundance estimates by species and stratum.
This contain a zip folder of comma delimited (CSV) files for each of the 19 tables in the report. It is produced automatically upon compiling the R Quarto code. Column headers are difference than in the tables in the report but order is exactly the same. Refer to the report to understand meaning of the columns. Each cell of the tables contain a management index estimate or the standard error of the estimate.
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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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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...
The Waterfowl Breeding Population & Habitat Survey (WBPHS) has been conducted annually since 1955 (1957 in Alaska) by the U.S. Fish and Wildlife Service (FWS) and Canadian Wildlife Service to estimate the spring abundance of targeted waterfowl species in their principal breeding areas of North America. The survey results are used to establish annual hunting regulations in the United States and Canada, monitor population trends, and inform various conservation and management decisions at the state, flyway, and continental levels.The Waterfowl Program in the FWS Division of Migratory Bird Management-Alaska Region (MBM-Alaska) is responsible for surveying strata 1–12 of the WBPHS during May to June of each year (i.e.,...
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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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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EstimatesTableWBPHS_20220125.csv is a table of bird abundance estimates by year and species, 1957-2021. It was produced by MBM-AK using AKaerial R code and the WBPHS_AK QC transcribed dataset. The date in the file name (format = YYYYMODA, where YYYY = year, MO = month, and DA = day) represents the date that the R code was run to produce the table. A data dictionary and details on analysis methods are provided at NEED TO ADD REFERENCE TO CHUCK’S R CODE/GITHUB WITH LINK.
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Sea level rise caused by climate change is an ongoing phenomenon and a concern both locally and worldwide. Low-lying coastal areas are particularly at risk to flooding and inundation, affecting a large proportion of the human population concentrated in these areas as well as natural communities-particularly animal species that depend on these habitats as a key component of their life cycle. While more local, state, and federal governments have become concerned with the potential effects that predicted sea levels will have on their communities and coastal landscapes, more information is needed on the potential effects that changes in sea level will have on coastal habitats and species.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, 2013, 2014, 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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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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While habitat selection and population estimates are well documented for spring migrating birds in the central Platte River system, little information or monitoring efforts on the North Platte River exist, particularly for the multiple priority bird species known to be present. Most conservation partners deliver habitat programs in the region with limited information and a lack of a landscape prioritization tools. In order for conservation delivery to be more effective and efficient in utilizing limited funds, a decision support tool is critical so that priority species habitat needs are being addressed through appropriate restoration/management strategies in the correct geography at multiple scales. We propose...
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The standard operating procedures (SOP) document for the overall WBPHS, including the Alaska strata, was updated by USFWS Division of Migratory Bird Management Branch of Migratory Bird Surveys on 21 April 2022. This SOP applies to all survey crews, including Alaska’s.
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This collection comprises the log files that accompany the quality-controlled (QC) WBPHS-AK transcribed bird-observation data files. The log files were produced when the original (“raw”) transcribed data were run through the QC process via the “Greenlight” script within the R package “AKaerial” (available at github.com/USFWS/AKaerial). The log files describe any changes that were made to the raw transcribed data during the QC process. There is one log file for each QC transcribed data file: WBPHS_YYYY_QCLog_OOO.html, where YYYY=Year and OOO=Observer initials.
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This is an SQLite GeoPackage simple feature linestring vector database of the Arctic Coastal Plain survey flow tracks in coordinate reference system EPSG:4326. There is one layer for each year 2007 to 2023. The field”Year” gives the calendar year that the transects were flown, “Stratum” gives the strata name, “NavTransect” gives the transect identifier used for navigation by the pilot (this is not necessarily the same as the design transect), and the “geom” field gives the simple feature Well Known Text geometry data of the approximate flight path recreated from bird observations. See the GitHub site https://github.com/USFWS/ACP-Mapping for more information. This product was produced from the file ACPmapping.R and...


map background search result map search result map Sandhill Cranes and Waterfowl of the North Platte River Valley: Evaluation of Habitat Selection to Guide Conservation Delivery Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast 2023 Alaska Goose, Swan, and Crane Population Indices Tabular Data Waterfowl Breeding Population and Habitat Survey Alaska-Yukon Waterfowl Breeding Population Habitat Survey Alaska Abundance Estimate data Waterfowl Breeding Population Habitat Survey Alaska Quality Control Log Files Waterfowl Breeding Population Habitat Survey Alaska Segment Endpoints Waterfowl Breeding Population Habitat Survey Alaska Species Visibility Correction Factors data Waterfowl Breeding Population Habitat Survey Alaska Stratum Areas data Waterfowl Breeding Population Habitat Survey Standard Operating Protocol Update 04-21-2022 Arctic Coastal Plain Aerial Survey Approximate Fight Lines Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Double Observer Nest Plot Detection 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 Observer Names 1985 - 2019 Alaska Yukon Delta Tidy Egg Data 1985 - 2019 Alaska Yukon-Kuskokwim Delta Aerial Breeding Pair Survey Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast Sandhill Cranes and Waterfowl of the North Platte River Valley: Evaluation of Habitat Selection to Guide Conservation Delivery Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Double Observer Nest Plot Detection 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 Observer Names 1985 - 2019 Alaska Yukon Delta Tidy Egg Data 1985 - 2019 Alaska Yukon-Kuskokwim Delta Aerial Breeding Pair Survey Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Alaska Yukon-Kuskokwim Delta Aerial Survey QC Transcribed Data Arctic Coastal Plain Aerial Survey Approximate Fight Lines Waterfowl Breeding Population and Habitat Survey Alaska-Yukon Waterfowl Breeding Population Habitat Survey Alaska Abundance Estimate data Waterfowl Breeding Population Habitat Survey Alaska Quality Control Log Files Waterfowl Breeding Population Habitat Survey Alaska Segment Endpoints Waterfowl Breeding Population Habitat Survey Alaska Species Visibility Correction Factors data Waterfowl Breeding Population Habitat Survey Alaska Stratum Areas data Waterfowl Breeding Population Habitat Survey Standard Operating Protocol Update 04-21-2022 2023 Alaska Goose, Swan, and Crane Population Indices Tabular Data