Climatic Predictors of Long‐Distance Migratory Birds Breeding Productivity Across Europe

ABSTRACT Aim Ongoing climate changes represent a major determinant of demographic processes in many organisms worldwide. Birds, and especially long‐distance migrants, are particularly sensitive to such changes. To better understand these impacts on long‐distance migrants' breeding productivity, we tested three hypotheses focused on (i) the shape of the relationships with different climate variables, including previously rarely tested quadratic responses, and on regional differences in these relationships predicted by (ii) mean climatic conditions and (iii) by the rate of climate change in respective regions ranging from Spain to Finland. Location Europe. Time Period 2004–2021. Major Taxa Studied Long‐distance migratory passerine birds. Methods We calculated breeding productivity from constant effort ringing sites from 11 European countries covering 34° of latitude, and extracted temperature‐ and precipitation‐related climate variables from E‐OBS and NASA MODIS datasets. To test our hypotheses, we fitted GLMM and Bayesian meta‐analytic models. Results We revealed hump‐shaped responses of productivity to temperature, growing degree‐days, green‐up onset date, and precipitation anomaly, and negative responses to intense and prolonged rains across the regions. The effects of March temperature and April growing degree‐days were more negative in cold than in warm regions, except for the region with the highest accumulated heat, whereas increasing June precipitation anomalies were associated with higher productivity in both dry and wet regions. Productivity responses to climate were unrelated to the rate of climate warming. Main Conclusions The influence of climate on bird productivity proved to be frequently nonlinear, as expected by ecological theory. The rate of climate change is less important than regional interannual variability in climate (which is predicted to increase), but this may change with the progression of climate change in the future. Productivity declines in long‐distance migratory songbirds are particularly expected if out‐of‐norm water excess increases in frequency or strength.

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Publication Details

Journal
Global Ecology and Biogeography
Published
2024-08-16
DOI
https://doi.org/10.1111/geb.13901
Citations
6
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.70

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article

Climatic Predictors of Long‐Distance Migratory Birds Breeding Productivity Across Europe

Petr Procházka, Anders Peter Tøttrup, Petteri Lehikoinen, Jaroslav Cepák et al.
6 citations
Global Ecology and Biogeography
Climate variability and models
1.70
article

Climatic Predictors of Long‐Distance Migratory Birds Breeding Productivity Across Europe

Petr Procházka, Anders Peter Tøttrup, Petteri Lehikoinen, Jaroslav Cepák, Gabriel Gargallo, Jaroslav Koleček, Tomáš Telenský, Ian Henshaw, Oriol Baltà, Jan Hanzelka, Pierre‐Yves Henry, Jiří Reif, Markus Piha, Kasper Thorup, Zsolt Karcza, Robert A. Robinson, Arantza Leal Nebot, Bert Meister, Henk P. van der Jeugd
article en
6 citations

Abstract

ABSTRACT Aim Ongoing climate changes represent a major determinant of demographic processes in many organisms worldwide. Birds, and especially long‐distance migrants, are particularly sensitive to such changes. To better understand these impacts on long‐distance migrants' breeding productivity, we tested three hypotheses focused on (i) the shape of the relationships with different climate variables, including previously rarely tested quadratic responses, and on regional differences in these relationships predicted by (ii) mean climatic conditions and (iii) by the rate of climate change in respective regions ranging from Spain to Finland. Location Europe. Time Period 2004–2021. Major Taxa Studied Long‐distance migratory passerine birds. Methods We calculated breeding productivity from constant effort ringing sites from 11 European countries covering 34° of latitude, and extracted temperature‐ and precipitation‐related climate variables from E‐OBS and NASA MODIS datasets. To test our hypotheses, we fitted GLMM and Bayesian meta‐analytic models. Results We revealed hump‐shaped responses of productivity to temperature, growing degree‐days, green‐up onset date, and precipitation anomaly, and negative responses to intense and prolonged rains across the regions. The effects of March temperature and April growing degree‐days were more negative in cold than in warm regions, except for the region with the highest accumulated heat, whereas increasing June precipitation anomalies were associated with higher productivity in both dry and wet regions. Productivity responses to climate were unrelated to the rate of climate warming. Main Conclusions The influence of climate on bird productivity proved to be frequently nonlinear, as expected by ecological theory. The rate of climate change is less important than regional interannual variability in climate (which is predicted to increase), but this may change with the progression of climate change in the future. Productivity declines in long‐distance migratory songbirds are particularly expected if out‐of‐norm water excess increases in frequency or strength.

Global Ecology and BiogeographyVol. 33(11)
University of Copenhagen (DK), Centre National de la Recherche Scientifique (FR), University of Helsinki (FI), Institut Català d'Ornitologia (ES), Czech Academy of Sciences (CZ), Charles University (CZ), National Museum (CZ), Swedish Museum of Natural History (SE), Natural Resources Institute Finland (FI), Sorbonne Université (FR), Grimme-Institut (DE), Centre d'Écologie et des Sciences de la Conservation (FR), Museu de Ciències Naturals de Barcelona (ES), Netherlands Institute of Ecology (NL), Natural History Museum Aarhus (DK), Finnish Museum of Natural History (FI), Czech Academy of Sciences, Institute of Vertebrate Biology (CZ), Mécanismes Adaptatifs et Evolution (FR), Palacký University Olomouc (CZ), British Trust for Ornithology (GB)
Univerzita Karlova v Praze, European Commission, Grantová Agentura České Republiky
Climate action
Openalex Percentile: Top 17%
Climate variability and models
1.70
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