Timothy D Meehan, Sarah P Saunders, William V DeLuca, Nicole L Michel, Joanna Grand, Jill L Deppe, Miguel F Jimenez, Erika J Knight, Nathaniel E Seavy, Melanie A Smith, Lotem Taylor, Chad Witko, Michael E Akresh, David R Barber, Erin M Bayne, James C Beasley, Jerrold L Belant, Richard O Bierregaard, Keith L Bildstein, Than J Boves, John N Brzorad, Steven P Campbell, Antonio Celis-Murillo, Hilary A Cooke, Robert Domenech, Laurie Goodrich, Elizabeth A Gow, Aaron Haines, Michael T Hallworth, Jason M Hill, Amanda E Holland, Scott Jennings, Roland Kays, D Tommy King, Stuart A Mackenzie, Peter P Marra, Rebecca A McCabe, Kent P McFarland, Michael J McGrady, Ron Melcer, D Ryan Norris, Russell E Norvell, Olin E Rhodes, Christopher C Rimmer, Amy L Scarpignato, Adam Shreading, Jesse L Watson, Chad B Wilsey
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. First, we integrate tracking and band re-encounter data to quantify migratory connectivity, defined as the relative proportions of individuals migrating between breeding and nonbreeding regions...
May 19, 2022: Ecological Applications