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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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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. |
format | Online Article Text |
id | pubmed-7882558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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