This README.txt file was generated on 2022-04-28 by Allison Huysman

GENERAL INFORMATION

1. Title of dataset: Strong migratory connectivity indicates Willets need subspecies-specific conservation strategies.

2. Author Information

	Corresponding Author
		Name: Allison Huysman
		Institution: Smithsonian Institution
		Email: allisonhuysman@gmail.com

	Coauthor 1
		Name: Nathan Cooper
		Institution: Smithsonian Institution

	Coauthor 2
		Name: Joseph Smith
		Institution: Wildlife Restoration Partnerships

	Coauthor 3
		Name: Susan Haig
		Institution: Oregon State University

	Coauthor 4
		Name: Susan Heath
		Institution: Gulf Coast Bird Observatory

	Coauthor 5
		Name: Luanne Johnson
		Institution: BiodiversityWorks

	Coauthor 6
		Name: Elizabeth Olson
		Institution: BiodiversityWorks

	Coauthor 7
		Name: Kevin Regan
		Institution: Biodiversity Research Institute

	Coauthor 8
		Name: Jennifer Wilson
		Institution: Texas Midcoast National Wildlife Refuge Complex

	Coauthor 9
		Name: Peter Marra
		Institution: Georgetown University


3. Dates of data collection: 
	Radio telemetry: 1996-1999
	Geolocators: 2010-2019
	Bands: 1932-2018

4. Geographic location of data collection:
	Radio telemetry: California and Oregon, USA
	Geolocators: Maine, Massachusetts, New Jersey, and Texas, USA
	Bands: USA and Canada

5. Recommended citation for this dataset:

Huysman, A. E. et al. 2022, Data from: Strong migratory connectivity indicates Willets need subspecies-specific conservation strategies, Dryad, dataset.


Also see papers using portions or all of this dataset:

Huysman, A. E., N. W. Cooper, J. A. Smith, S. M. Haig, S. A. Heath, L. Johnson, E. Olson, K., Regan, J. K. Wilson, and P. P. Marra. 2022. Strong migratory connectivity indicates Willets need subspecies-specific conservation strategies. Ornithological Applications.

Haig, S. M., L. W. Oring, P. M. Sanzenbacher, and O. W. Taft (2002). Space use, migratory connectivity, and population segregation among Willets breeding in the western Great Basin. The Condor 104:620–630.

Heath, S. A., J. K. Wilson, J. A. Smith, and N. W. Cooper (2022). Migration and migratory linkages of breeding eastern Willet (Tringa semipalmata semipalmata) in the western Gulf of Mexico. Waterbirds 44. In press.

Smith, J. A. M., K. Regan, N. W. Cooper, L. Johnson, E. Olson, A. Green, J. Tash, D. C. Evers, and P. P. Marra (2020). A green wave of saltmarsh productivity predicts the timing of the annual cycle in a long-distance migratory shorebird. Scientific Reports 10(1):20658.




DATA & FILE OVERVIEW

1. Description of dataset

The attached files contain all necessary data to analyze migratory connectivity of Willets using the MigConnectivity R package.

2. File list:

	File 1: WILL_migratory_connectivity_data.csv
	Description: Breeding and wintering coordinates for 95 individuals and data type.

	File 2: WILL_MC_Regions.csv
	Description: Breeding and non breeding regions defined for Migratory Connectivity analysis, including coordinates of region centroids and relative abundance for breeding regions.

	File 3: will_origin_polygon.Rdata
	Description: Spatial polygons of breeding regions defined in csv file.

	File 4: will_target_polygon.Rdata
	Description: Spatial polygons file of nonbreeding regions defined in csv file.

	File 4: Willett_geo.bias.rda
	Description: Location bias accompanying geolocator location estimates.

	File 5: Willett_geo.vcov.rda
	Description: Variance/covariance matrix accompanying geolocator location estimates.



METHODOLOGICAL INFORMATION

1. Data collection: see Haig et al. 2002, Smith et al. 2020, and Heath et al. 2022 for detailed description of data collection.

2. Geolocator data processing: see Smith et al. 2020 for description of R packages and methods of geolocator data analysis (analyzed data included here)

3. Migratory connectivity analysis: See Huysman et al. 2022 for methods to use these files to reproduce migratory connectivity analysis in R using package MigConnectvity




DATA-SPECIFIC INFORMATION


	Information for WILL_migratory_connectivity_data.csv: 

		1. Number of variables: 9

		2. Number of locations (rows): 95

		3. Variable list:
			Bird.ID: Unique identifier for individual in analysis
			Nonbreeding_Lon: Longitude for nonbreeding observation in WGS84 coordinate reference system
			Nonbreeding_Lat: Latitude for nonbreeding observation in WGS84 coordinate reference system
			NB_Site: Generalized name for nonbreeding location
			Breeding_Lon: Longitude for breeding observation in WGS84 coordinate reference system
			Breeding_Lat: Latitude for breeding observation in WGS84 coordinate reference system
			Breeding_Site: Generalized name for breeding location
			Technology: Type of technology used to generate locations; either banding, visual, [radio] telemetry, or geolocator
			isGL: True (T) or False (F) indicator for whether or not technology was geolocator

		4. Missing data codes:
			None

		5. Abbreviations used:
			None

		6. Other relevant information:
			None


	Information for WILL_MC_regions.csv: 

		1. Number of variables: 7

		2. Number of rows: 19

		3. Variable list:
			Region: Name of state or country used to define region
			Season: Breeding or nonbreeding, indicating time of year when region was used
			Description: Extra information about region if not defined by state or country
			Subspecies: East or West; Willet subspecies that used regions column 1
			Centroid_Long: Longitude coordinate for centroid of region in WGS84 coordinate reference system
			Centroid_Lat: Latitude coordinate for centroid of region in WGS84 coordinate reference system
			Relative Abundance: Abundance of region extracted from eBird, scaled to sum to 1 with other regions; only for breeding regions

		4. Missing data codes:
			None

		5. Abbreviations used:
			MA = Massachussets
			NH = New Hampshire
			ME = Maine
			CA = California
			OR = Oregon

		6. Other relevant information:
			None


	Information for will_origin_polygon.Rdata: 

		1. Number of variables: NA

		2. Number of rows: 9 (corresponding with 9 breeding regions in WILL_MC_regions.csv)

		3. Variable list: See regions in WILL_MC_regions.csv

		4. Missing data codes: None

		5. Abbreviations used: None

		6. Other relevant information: 
			Polygon data using R package sp (class SpatialPolygons) with projection: 
			'+proj=eck4 +lon_0=-90 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs '


	Information for will_target_polygon.Rdata: 

		1. Number of variables: NA

		2. Number of rows: 10 (corresponding with 10 breeding regions in WILL_MC_regions.csv)

		3. Variable list: See regions in WILL_MC_regions.csv

		4. Missing data codes: None

		5. Abbreviations used: None

		6. Other relevant information: 
			Polygon data using R package sp (class SpatialPolygons) with projection: 
			'+proj=eck4 +lon_0=-90 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs '


	Information for Willett_geo.bias.rda: 

		1. Number of variables: 2

		2. Number of rows: 1

		3. Variable list:
			LongError: Error (bias) for longitude in geolocator data
			LatError: Error (bias) for latitude in geolocator data

		4. Missing data codes: None

		5. Abbreviations used: None

		6. Other relevant information: None


	Information for Willett_geo.vov.rda: 

		1. Number of variables: 2

		2. Number of rows: 2

		3. Variable list:
			LongError: Error (bias) for longitude in geolocator data
			LatError: Error (bias) for latitude in geolocator data

		4. Missing data codes: None

		5. Abbreviations used: None

		6. Other relevant information: None



