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Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species
Temperatures in mountain areas are increasing at a higher rate than the Northern Hemisphere land average, but how fauna may respond, in particular in terms of phenology, remains poorly understood. The aim of this study was to assess how elevation could modify the relationships between climate variab...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520200/ https://www.ncbi.nlm.nih.gov/pubmed/33005377 http://dx.doi.org/10.1002/ece3.6684 |
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author | Bison, Marjorie Yoccoz, Nigel G. Carlson, Bradley Klein, Geoffrey Laigle, Idaline Van Reeth, Colin Asse, Daphné Delestrade, Anne |
author_facet | Bison, Marjorie Yoccoz, Nigel G. Carlson, Bradley Klein, Geoffrey Laigle, Idaline Van Reeth, Colin Asse, Daphné Delestrade, Anne |
author_sort | Bison, Marjorie |
collection | PubMed |
description | Temperatures in mountain areas are increasing at a higher rate than the Northern Hemisphere land average, but how fauna may respond, in particular in terms of phenology, remains poorly understood. The aim of this study was to assess how elevation could modify the relationships between climate variability (air temperature and snow melt‐out date), the timing of plant phenology and egg‐laying date of the coal tit (Periparus ater). We collected 9 years (2011–2019) of data on egg‐laying date, spring air temperature, snow melt‐out date, and larch budburst date at two elevations (~1,300 m and ~1,900 m asl) on a slope located in the Mont‐Blanc Massif in the French Alps. We found that at low elevation, larch budburst date had a direct influence on egg‐laying date, while at high‐altitude snow melt‐out date was the limiting factor. At both elevations, air temperature had a similar effect on egg‐laying date, but was a poorer predictor than larch budburst or snowmelt date. Our results shed light on proximate drivers of breeding phenology responses to interannual climate variability in mountain areas and suggest that factors directly influencing species phenology vary at different elevations. Predicting the future responses of species in a climate change context will require testing the transferability of models and accounting for nonstationary relationships between environmental predictors and the timing of phenological events. |
format | Online Article Text |
id | pubmed-7520200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75202002020-09-30 Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species Bison, Marjorie Yoccoz, Nigel G. Carlson, Bradley Klein, Geoffrey Laigle, Idaline Van Reeth, Colin Asse, Daphné Delestrade, Anne Ecol Evol Original Research Temperatures in mountain areas are increasing at a higher rate than the Northern Hemisphere land average, but how fauna may respond, in particular in terms of phenology, remains poorly understood. The aim of this study was to assess how elevation could modify the relationships between climate variability (air temperature and snow melt‐out date), the timing of plant phenology and egg‐laying date of the coal tit (Periparus ater). We collected 9 years (2011–2019) of data on egg‐laying date, spring air temperature, snow melt‐out date, and larch budburst date at two elevations (~1,300 m and ~1,900 m asl) on a slope located in the Mont‐Blanc Massif in the French Alps. We found that at low elevation, larch budburst date had a direct influence on egg‐laying date, while at high‐altitude snow melt‐out date was the limiting factor. At both elevations, air temperature had a similar effect on egg‐laying date, but was a poorer predictor than larch budburst or snowmelt date. Our results shed light on proximate drivers of breeding phenology responses to interannual climate variability in mountain areas and suggest that factors directly influencing species phenology vary at different elevations. Predicting the future responses of species in a climate change context will require testing the transferability of models and accounting for nonstationary relationships between environmental predictors and the timing of phenological events. John Wiley and Sons Inc. 2020-08-17 /pmc/articles/PMC7520200/ /pubmed/33005377 http://dx.doi.org/10.1002/ece3.6684 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Bison, Marjorie Yoccoz, Nigel G. Carlson, Bradley Klein, Geoffrey Laigle, Idaline Van Reeth, Colin Asse, Daphné Delestrade, Anne Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species |
title | Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species |
title_full | Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species |
title_fullStr | Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species |
title_full_unstemmed | Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species |
title_short | Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species |
title_sort | best environmental predictors of breeding phenology differ with elevation in a common woodland bird species |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520200/ https://www.ncbi.nlm.nih.gov/pubmed/33005377 http://dx.doi.org/10.1002/ece3.6684 |
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