Comprehensive estimation of spatial and temporal migratory connectivity across the annual cycle to direct conservation efforts

Elly C. Knight, Autumn Lynn Harrison, Amy L. Scarpignato, Steven L. Van Wilgenburg, Erin M. Bayne, Janet W. Ng, Emily Angell, R. Bowman, R. Mark Brigham, Bruno Drolet, Wendy E. Easton, Timothy R. Forrester, Jeffrey T. Foster, Samuel Haché, Kevin C. Hannah, Kristina G. Hick, Jacques Ibarzabal, Tara L. Imlay, Stuart A. Mackenzie, Alan MarshLiam P. McGuire, Gretchen N. Newberry, David Newstead, Andrea Sidler, Pam H. Sinclair, Jaime L. Stephens, David L. Swanson, Junior A. Tremblay, Peter P. Marra

Résultat de recherche: Articleexamen par les pairs

43 Citations (Scopus)

Résumé

Migratory connectivity is the degree to which populations are linked in space and time across the annual cycle. Low connectivity indicates mixing of populations while high connectivity indicates population separation in space or time. High migratory connectivity makes individual populations susceptible to local environmental conditions; therefore, evaluating migratory connectivity continuously across a species range is important for understanding differential population trends and revealing places and times contributing to these differences. The common nighthawk Chordeiles minor is a widespread, declining, long-distance migratory bird. Variable population trends across the nighthawk breeding range suggest that knowledge of migratory connectivity is needed to direct conservation. We used GPS tags to track 52 individuals from 12 breeding populations. We estimated migratory connectivity as 0.29 (Mantel coefficient: 0 = no connectivity, 1 = full connectivity) between the breeding and wintering grounds. We then estimated migratory connectivity at every latitude (spatial connectivity) or day (temporal connectivity) of migration and smoothed those migratory connectivity estimates to produce continuous migratory connectivity ‘profiles'. Spatial and temporal connectivity were highest during migration through North America (around 0.3–0.6), with values generally around 0 in Central and South America due to mixing of populations along a common migratory route and similar migration timing across populations. We found local peaks in spatial and temporal connectivity during migration associated with crossing the Gulf of Mexico. We used simulations to estimate the probability that our method missed peaks (spatial: 0.12, temporal: 0.18) or detected false peaks (spatial: 0.11, temporal: 0.37) due to data gaps and showed that our approach remains useful even for sparse and/or sporadic location data. Our study presents a generalizable approach to evaluating migratory connectivity across the full annual cycle that can be used to focus migratory bird conservation towards places and times of the annual cycle where populations are more likely to be limited.

Langue d'origineEnglish
Pages (de-à)665-679
Nombre de pages15
JournalEcography
Volume44
Numéro de publication5
DOI
Statut de publicationPublished - mai 2021
Publié à l'externeOui

Note bibliographique

Funding Information:
– Data collection funding for this project was generously provided by the Conoco Phillips Global Signature Programs to the Migratory Connectivity Project, Environment and Climate Change Canada, and the Natural Sciences and Engineering Research Council of Canada. Field work funding for this project was provided by Environment and Climate Change Canada, Birds Canada, Texas Tech University, Wendy Bragg, Roger Dietrich, Amber Furness, Paige Oboikovitz ECK was funded by the Natural Sciences and Engineering Research Council of Canada, the University of Alberta, the Killam Foundation, the Canadian Federation of University Women, the Alberta Chapter of the Wildlife Society and the Kay Ball Memorial Graduate Student Research Travel Award. Funding

Publisher Copyright:
© 2021 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos

ASJC Scopus Subject Areas

  • Ecology, Evolution, Behavior and Systematics

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