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Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle

How environmental factors influence population dynamics in long-distance migrants is complicated by the spatiotemporal diversity of the environment the individuals experience during the annual cycle. The effects of weather on several different aspects of life history have been well studied, but a be...

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Autores principales: Selonen, Vesa, Helle, Samuli, Laaksonen, Toni, Ahola, Markus P., Lehikoinen, Esa, Eeva, Tapio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882558/
https://www.ncbi.nlm.nih.gov/pubmed/33459864
http://dx.doi.org/10.1007/s00442-020-04817-3
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author Selonen, Vesa
Helle, Samuli
Laaksonen, Toni
Ahola, Markus P.
Lehikoinen, Esa
Eeva, Tapio
author_facet Selonen, Vesa
Helle, Samuli
Laaksonen, Toni
Ahola, Markus P.
Lehikoinen, Esa
Eeva, Tapio
author_sort Selonen, Vesa
collection PubMed
description How environmental factors influence population dynamics in long-distance migrants is complicated by the spatiotemporal diversity of the environment the individuals experience during the annual cycle. The effects of weather on several different aspects of life history have been well studied, but a better understanding is needed on how weather affects population dynamics through the different associated traits. We utilise 77 years of data from pied flycatcher (Ficedula hypoleuca), to identify the most relevant climate signals associated with population growth rate. The strongest signals on population growth were observed from climate during periods when the birds were not present in the focal location. The population decline was associated with increasing precipitation in the African non-breeding quarters in the autumn (near the arrival of migrants) and with increasing winter temperature along the migration route (before migration). The number of fledglings was associated positively with increasing winter temperature in non-breeding area and negatively with increasing winter temperature in Europe. These possible carry-over effects did not arise via timing of breeding or clutch size but the exact mechanism remains to be revealed in future studies. High population density and low fledgling production were the intrinsic factors reducing the breeding population. We conclude that weather during all seasons has the potential to affect the reproductive success or population growth rate of this species. Our results show how weather can influence the population dynamics of a migratory species through multiple pathways, even at times of the annual cycle when the birds are in a different location than the climate signal. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00442-020-04817-3.
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spelling pubmed-78825582021-02-25 Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle Selonen, Vesa Helle, Samuli Laaksonen, Toni Ahola, Markus P. Lehikoinen, Esa Eeva, Tapio Oecologia Global Change Ecology–Original Research How environmental factors influence population dynamics in long-distance migrants is complicated by the spatiotemporal diversity of the environment the individuals experience during the annual cycle. The effects of weather on several different aspects of life history have been well studied, but a better understanding is needed on how weather affects population dynamics through the different associated traits. We utilise 77 years of data from pied flycatcher (Ficedula hypoleuca), to identify the most relevant climate signals associated with population growth rate. The strongest signals on population growth were observed from climate during periods when the birds were not present in the focal location. The population decline was associated with increasing precipitation in the African non-breeding quarters in the autumn (near the arrival of migrants) and with increasing winter temperature along the migration route (before migration). The number of fledglings was associated positively with increasing winter temperature in non-breeding area and negatively with increasing winter temperature in Europe. These possible carry-over effects did not arise via timing of breeding or clutch size but the exact mechanism remains to be revealed in future studies. High population density and low fledgling production were the intrinsic factors reducing the breeding population. We conclude that weather during all seasons has the potential to affect the reproductive success or population growth rate of this species. Our results show how weather can influence the population dynamics of a migratory species through multiple pathways, even at times of the annual cycle when the birds are in a different location than the climate signal. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00442-020-04817-3. Springer Berlin Heidelberg 2021-01-18 2021 /pmc/articles/PMC7882558/ /pubmed/33459864 http://dx.doi.org/10.1007/s00442-020-04817-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Global Change Ecology–Original Research
Selonen, Vesa
Helle, Samuli
Laaksonen, Toni
Ahola, Markus P.
Lehikoinen, Esa
Eeva, Tapio
Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle
title Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle
title_full Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle
title_fullStr Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle
title_full_unstemmed Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle
title_short Identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle
title_sort identifying the paths of climate effects on population dynamics: dynamic and multilevel structural equation model around the annual cycle
topic Global Change Ecology–Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882558/
https://www.ncbi.nlm.nih.gov/pubmed/33459864
http://dx.doi.org/10.1007/s00442-020-04817-3
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