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Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests

Phenological shifts of plants and animals due to climate change can vary among regions and species, requiring study of local ecosystems to understand specific impacts. The reproductive timing of insectivorous songbirds in temperate forests is tightly synchronized with peak prey abundance, and thus t...

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Autores principales: Jeong, Min-Su, Choi, Chang-Young, Kim, Hankyu, Lee, Woo-Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913659/
https://www.ncbi.nlm.nih.gov/pubmed/31853380
http://dx.doi.org/10.1080/19768354.2019.1675759
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author Jeong, Min-Su
Choi, Chang-Young
Kim, Hankyu
Lee, Woo-Shin
author_facet Jeong, Min-Su
Choi, Chang-Young
Kim, Hankyu
Lee, Woo-Shin
author_sort Jeong, Min-Su
collection PubMed
description Phenological shifts of plants and animals due to climate change can vary among regions and species, requiring study of local ecosystems to understand specific impacts. The reproductive timing of insectivorous songbirds in temperate forests is tightly synchronized with peak prey abundance, and thus they can be susceptible to such shift in timing. We aimed to investigate the effect of future climate change on the egg-laying phenology of the Varied Tit (Sittiparus various), which is common and widely distributed in South Korean forests. We developed the predictive model by investigating their egg-laying dates in response to spring temperatures along geographical gradients, and our model indicated that the tits lay eggs earlier when the average of daily mean and daily maximum temperatures rise. We predicted future shifts in egg-laying dates based on the most recent climate change model published by the Intergovernmental Panel on Climate Change (IPCC), under a scenario with no climate change mitigation and under a scenario with moderate mitigation. Under this outcome, this species might be unable to adapt to rapid climate change due to asynchrony with prey species during the reproductive period. If no mitigation is undertaken, our model predicts that egg-laying dates will be advanced by more than 10 days compared to the present in 83.58% of South Korea. However, even moderate mitigation will arrest this phenomenon and maintain present egg-laying dates. These results demonstrate the first quantitative assessment for the effect of warming temperatures on the phenological response of insectivorous songbirds in South Korea.
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spelling pubmed-69136592019-12-18 Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests Jeong, Min-Su Choi, Chang-Young Kim, Hankyu Lee, Woo-Shin Anim Cells Syst (Seoul) Evolution & Molecular Ecology Phenological shifts of plants and animals due to climate change can vary among regions and species, requiring study of local ecosystems to understand specific impacts. The reproductive timing of insectivorous songbirds in temperate forests is tightly synchronized with peak prey abundance, and thus they can be susceptible to such shift in timing. We aimed to investigate the effect of future climate change on the egg-laying phenology of the Varied Tit (Sittiparus various), which is common and widely distributed in South Korean forests. We developed the predictive model by investigating their egg-laying dates in response to spring temperatures along geographical gradients, and our model indicated that the tits lay eggs earlier when the average of daily mean and daily maximum temperatures rise. We predicted future shifts in egg-laying dates based on the most recent climate change model published by the Intergovernmental Panel on Climate Change (IPCC), under a scenario with no climate change mitigation and under a scenario with moderate mitigation. Under this outcome, this species might be unable to adapt to rapid climate change due to asynchrony with prey species during the reproductive period. If no mitigation is undertaken, our model predicts that egg-laying dates will be advanced by more than 10 days compared to the present in 83.58% of South Korea. However, even moderate mitigation will arrest this phenomenon and maintain present egg-laying dates. These results demonstrate the first quantitative assessment for the effect of warming temperatures on the phenological response of insectivorous songbirds in South Korea. Taylor & Francis 2019-10-10 /pmc/articles/PMC6913659/ /pubmed/31853380 http://dx.doi.org/10.1080/19768354.2019.1675759 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Evolution & Molecular Ecology
Jeong, Min-Su
Choi, Chang-Young
Kim, Hankyu
Lee, Woo-Shin
Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests
title Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests
title_full Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests
title_fullStr Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests
title_full_unstemmed Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests
title_short Predicting climate-driven shifts in the breeding phenology of Varied Tits (Sittiparus various) in South Korean forests
title_sort predicting climate-driven shifts in the breeding phenology of varied tits (sittiparus various) in south korean forests
topic Evolution & Molecular Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913659/
https://www.ncbi.nlm.nih.gov/pubmed/31853380
http://dx.doi.org/10.1080/19768354.2019.1675759
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