Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere

Author(s): 

Meehan, T. D.
S. P. Saunders
W. V. DeLuca
N. L. Michel
J. Grand
J. L. Deppe
M. F. Jimenez
E. J. Knight
N. E. Seavy
M. A. Smith
L. Taylor
C. Witko
M. E. Akresh
D. R. Barber
E. M. Bayne
J. C. Beasley
J. L. Belant
R. O. Bierregaard
K. L. Bildstein
T. J. Boves
J. N. Brzorad
S. P. Campbell
A. Celis-Murillo
H. A. Cooke
R. Domenech
L. Goodrich
E. A. Gow
A. Haines
M. T. Hallworth
J. M. Hill
A. E. Holland
S. Jennings
R. Kays
D. T. King
S. A. Mackenzie
P. P. Marra
R. A. McCabe
K. P. McFarland
M. J. McGrady
R. Melcher Jr.
D. R. Norris
R. E. Norvell
O. E. Rhodes Jr.
C. C. Rimmer
A. L. Scarpignato
A. Shreading
J. L. Watson
C. B. Wilsey

Publication Date: 

May 2022

Type of Document: 

Journal Article

For many avian species, spatial migration patterns remain largely undescribed, especially across hemispheric extents. Recent advancements in tracking technologies and high-resolution species distribution models (i.e., eBird Status and Trends products) provide new insights into migratory bird movements and offer a promising opportunity for integrating independent data sources to describe avian migration. Here, we present a three-stage modeling framework for estimating spatial patterns of avian migration.

PDF is: 

the full text.

Web Page Link: 

Citation: 

Meehan et al. 2022. Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere. Ecological Applications, May 2022; https://doi.org/10.1002/eap.2679.

Keywords: 

Pages

Subscribe to RSS - migratory