Climatic variation in Africa and Europe has combined effects on timing of spring migration in a long-distance migrant Willow Warbler

IOD Large-scale climate indices Migration timing NAOI Phylloscopus trochilus SAH SCAND SOI Spring phenology Willow Warbler

Journal

PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425

Informations de publication

Date de publication:
2020
Historique:
received: 04 10 2019
accepted: 19 02 2020
entrez: 27 3 2020
pubmed: 27 3 2020
medline: 27 3 2020
Statut: epublish

Résumé

The arrival of many species of migrant passerine in the European spring has shifted earlier over recent decades, attributed to climate change and rising temperatures in Europe and west Africa. Few studies have shown the effects of climate change in both hemispheres though many long-distance migrants use wintering grounds which span Africa. The migrants' arrival in Europe thus potentially reflects a combination of the conditions they experience across Africa. We examine if the timing of spring migration of a long-distance migrant, the Willow Warbler, is related to large-scale climate indices across Africa and Europe. Using data from daily mistnetting from 1 April to 15 May in 1982-2017 at Bukowo (Poland, Baltic Sea coast), we developed an Annual Anomaly metric (AA, in days) to estimate how early or late Willow Warblers arrive each spring in relation to their multi-year average pattern. The Willow Warblers' spring passage advanced by 5.4 days over the 36 years. We modelled AA using 14 potential explanatory variables in multiple regression models. The variables were the calendar year and 13 large-scale indices of climate in Africa and Europe averaged over biologically meaningful periods of two to four months during the year before spring migration. The best model explained 59% of the variation in AA with seven variables: Northern Atlantic Oscillation (two periods), Indian Ocean Dipole, Southern Oscillation Index, Sahel Precipitation Anomaly, Scandinavian Index and local mean temperatures. The study also confirmed that a long-term trend for Willow Warblers to arrive earlier in spring continued up to 2017. Our results suggest that the timing of Willow Warbler spring migration at the Baltic Sea coast is related to a summation of the ecological conditions they had encountered over the previous year during breeding, migration south, wintering in Africa and migration north. We suggest these large-scale climate indices reflect ecological drivers for phenological changes in species with complex migration patterns and discuss the ways in which each of the seven climate indices could be related to spring migration at the Baltic Sea coast.

Sections du résumé

BACKGROUND BACKGROUND
The arrival of many species of migrant passerine in the European spring has shifted earlier over recent decades, attributed to climate change and rising temperatures in Europe and west Africa. Few studies have shown the effects of climate change in both hemispheres though many long-distance migrants use wintering grounds which span Africa. The migrants' arrival in Europe thus potentially reflects a combination of the conditions they experience across Africa. We examine if the timing of spring migration of a long-distance migrant, the Willow Warbler, is related to large-scale climate indices across Africa and Europe.
METHODS METHODS
Using data from daily mistnetting from 1 April to 15 May in 1982-2017 at Bukowo (Poland, Baltic Sea coast), we developed an Annual Anomaly metric (AA, in days) to estimate how early or late Willow Warblers arrive each spring in relation to their multi-year average pattern. The Willow Warblers' spring passage advanced by 5.4 days over the 36 years. We modelled AA using 14 potential explanatory variables in multiple regression models. The variables were the calendar year and 13 large-scale indices of climate in Africa and Europe averaged over biologically meaningful periods of two to four months during the year before spring migration.
RESULTS RESULTS
The best model explained 59% of the variation in AA with seven variables: Northern Atlantic Oscillation (two periods), Indian Ocean Dipole, Southern Oscillation Index, Sahel Precipitation Anomaly, Scandinavian Index and local mean temperatures. The study also confirmed that a long-term trend for Willow Warblers to arrive earlier in spring continued up to 2017.
DISCUSSION CONCLUSIONS
Our results suggest that the timing of Willow Warbler spring migration at the Baltic Sea coast is related to a summation of the ecological conditions they had encountered over the previous year during breeding, migration south, wintering in Africa and migration north. We suggest these large-scale climate indices reflect ecological drivers for phenological changes in species with complex migration patterns and discuss the ways in which each of the seven climate indices could be related to spring migration at the Baltic Sea coast.

Identifiants

pubmed: 32211237
doi: 10.7717/peerj.8770
pii: 8770
pmc: PMC7083157
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e8770

Informations de copyright

©2020 Remisiewicz and Underhill.

Déclaration de conflit d'intérêts

The authors declare there are no competing interests.

Références

Proc Biol Sci. 2011 Nov 22;278(1723):3437-43
pubmed: 21450737
Int J Biometeorol. 2007 May;51(5):361-73
pubmed: 17245563
Glob Chang Biol. 2015 Jun;21(6):2179-90
pubmed: 25640890
Proc Biol Sci. 2003 Oct 22;270(1529):2087-96
pubmed: 14561270
Sci Total Environ. 2018 Sep 15;636:512-518
pubmed: 29709867
Mov Ecol. 2017 Aug 30;5:17
pubmed: 28861271
J Anim Ecol. 2011 Jan;80(1):225-34
pubmed: 21039479
Glob Chang Biol. 2017 Apr;23(4):1400-1414
pubmed: 27670638
Glob Chang Biol. 2018 Apr;24(4):1523-1537
pubmed: 29251800
Glob Chang Biol. 2018 Feb;24(2):823-835
pubmed: 29211325
Ecol Evol. 2015 Nov 19;5(23):5722-34
pubmed: 27069620
Sci Adv. 2017 Jan 04;3(1):e1601360
pubmed: 28070557
Science. 2009 May 15;324(5929):887-8
pubmed: 19443770
J Anim Ecol. 2017 Mar;86(2):250-261
pubmed: 27859281
Biol Lett. 2013 Nov 06;9(6):20130669
pubmed: 24196517
Glob Chang Biol. 2019 Dec;25(12):4064-4080
pubmed: 31273866
Proc Natl Acad Sci U S A. 2003 Oct 14;100(21):12219-22
pubmed: 14519854
Science. 2012 Dec 7;338(6112):1307
pubmed: 23224549
Nat Commun. 2018 Mar 28;9(1):1257
pubmed: 29593219
Mol Ecol. 2009 Jul;18(14):3087-96
pubmed: 19457197
Proc Biol Sci. 2012 Apr 22;279(1733):1485-90
pubmed: 22072608
PLoS One. 2019 May 29;14(5):e0217619
pubmed: 31141573
Int J Biometeorol. 2001 Nov;45(4):217-9
pubmed: 11769324
J Anim Ecol. 2006 Nov;75(6):1293-303
pubmed: 17032361
Nature. 1999 Sep 23;401(6751):360-3
pubmed: 16862108
Nature. 2002 Mar 28;416(6879):389-95
pubmed: 11919621
Trends Ecol Evol. 2011 Nov;26(11):561-9
pubmed: 21862171
Proc Biol Sci. 2003 Feb 7;270(1512):233-40
pubmed: 12614571
Proc Biol Sci. 2017 Nov 29;284(1867):
pubmed: 29167360
PeerJ. 2017 Jul 31;5:e3604
pubmed: 28785517
Glob Chang Biol. 2016 Feb;22(2):530-43
pubmed: 26486804
Science. 1995 Aug 4;269(5224):676-9
pubmed: 17758812
Oecologia. 2013 Jun;172(2):595-605
pubmed: 23161154
Philos Trans A Math Phys Eng Sci. 2005 Jan 15;363(1826):43-7
pubmed: 15598619
Conserv Biol. 2015 Jun;29(3):877-87
pubmed: 25858334
Int J Biometeorol. 2018 Sep;62(9):1595-1605
pubmed: 29804234
J Anim Ecol. 2017 Jan;86(1):88-97
pubmed: 27726147

Auteurs

Magdalena Remisiewicz (M)

Bird Migration Research Station, Faculty of Biology, University of Gdańsk, Gdańsk, Poland.
Animal Demography Unit, Department of Biological Sciences, University of Cape Town, Cape Town, South Africa.

Les G Underhill (LG)

Animal Demography Unit, Department of Biological Sciences, University of Cape Town, Cape Town, South Africa.
Biodiversity and Development Institute, Cape Town, South Africa.

Classifications MeSH