Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese

Quantifying how key life-history traits respond to climatic change is fundamental in understanding and predicting long-term population prospects . Age at first reproduction (AFR), which affects fitness and population dynamics, may be influenced by environmental stochasticity but has rarely been dire...

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Main Authors: Fjelldal, Mari Aas, Layton-Matthews, Kate, Lee, Aline Magdalena, Grøtan, Vidar, Loonen, Maarten J. J. E., Brage Bremset Hansen
Format: Text
Language:unknown
Published: The Royal Society 2020
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Online Access:https://dx.doi.org/10.6084/m9.figshare.12017805.v2
https://rs.figshare.com/articles/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805/2
id ftdatacite:10.6084/m9.figshare.12017805.v2
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spelling ftdatacite:10.6084/m9.figshare.12017805.v2 2023-05-15T14:58:38+02:00 Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese Fjelldal, Mari Aas Layton-Matthews, Kate Lee, Aline Magdalena Grøtan, Vidar Loonen, Maarten J. J. E. Brage Bremset Hansen 2020 https://dx.doi.org/10.6084/m9.figshare.12017805.v2 https://rs.figshare.com/articles/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805/2 unknown The Royal Society https://dx.doi.org/10.1098/rsbl.2020.0075 https://dx.doi.org/10.6084/m9.figshare.12017805 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Ecology FOS Biological sciences Text article-journal Journal contribution ScholarlyArticle 2020 ftdatacite https://doi.org/10.6084/m9.figshare.12017805.v2 https://doi.org/10.1098/rsbl.2020.0075 https://doi.org/10.6084/m9.figshare.12017805 2021-11-05T12:55:41Z Quantifying how key life-history traits respond to climatic change is fundamental in understanding and predicting long-term population prospects . Age at first reproduction (AFR), which affects fitness and population dynamics, may be influenced by environmental stochasticity but has rarely been directly linked to climate change . Here, we use a case study from the highly seasonal and stochastic environment in High-Arctic Svalbard, with strong temporal trends in breeding conditions, to test whether rapid climate warming may induce changes in AFR in barnacle geese, Branta leucopsis . Using long-term mark–recapture and reproductive data (1991–2017) , we developed a multi-event model to estimate individual AFR (i.e. when goslings are produced). The annual probability of reproducing for the first time was negatively affected by population density but only for 2 year old, the earliest age of maturity. Furthermore, advanced spring onset (SO) positively influenced the probability of reproducing and even more strongly the probability of reproducing for the first time. Thus, because climate warming has advanced SO by two weeks, this likely led to an earlier AFR by more than doubling the probability of reproducing at 2 years of age. This may, in turn, impact important life-history trade-offs and long-term population trajectories. Text Arctic Branta leucopsis Climate change Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Svalbard
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Ecology
FOS Biological sciences
spellingShingle Ecology
FOS Biological sciences
Fjelldal, Mari Aas
Layton-Matthews, Kate
Lee, Aline Magdalena
Grøtan, Vidar
Loonen, Maarten J. J. E.
Brage Bremset Hansen
Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese
topic_facet Ecology
FOS Biological sciences
description Quantifying how key life-history traits respond to climatic change is fundamental in understanding and predicting long-term population prospects . Age at first reproduction (AFR), which affects fitness and population dynamics, may be influenced by environmental stochasticity but has rarely been directly linked to climate change . Here, we use a case study from the highly seasonal and stochastic environment in High-Arctic Svalbard, with strong temporal trends in breeding conditions, to test whether rapid climate warming may induce changes in AFR in barnacle geese, Branta leucopsis . Using long-term mark–recapture and reproductive data (1991–2017) , we developed a multi-event model to estimate individual AFR (i.e. when goslings are produced). The annual probability of reproducing for the first time was negatively affected by population density but only for 2 year old, the earliest age of maturity. Furthermore, advanced spring onset (SO) positively influenced the probability of reproducing and even more strongly the probability of reproducing for the first time. Thus, because climate warming has advanced SO by two weeks, this likely led to an earlier AFR by more than doubling the probability of reproducing at 2 years of age. This may, in turn, impact important life-history trade-offs and long-term population trajectories.
format Text
author Fjelldal, Mari Aas
Layton-Matthews, Kate
Lee, Aline Magdalena
Grøtan, Vidar
Loonen, Maarten J. J. E.
Brage Bremset Hansen
author_facet Fjelldal, Mari Aas
Layton-Matthews, Kate
Lee, Aline Magdalena
Grøtan, Vidar
Loonen, Maarten J. J. E.
Brage Bremset Hansen
author_sort Fjelldal, Mari Aas
title Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese
title_short Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese
title_full Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese
title_fullStr Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese
title_full_unstemmed Results from Viterbi algorithm in E-SURGE from High-Arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese
title_sort results from viterbi algorithm in e-surge from high-arctic family planning: earlier spring onset advances age at first reproduction in barnacle geese
publisher The Royal Society
publishDate 2020
url https://dx.doi.org/10.6084/m9.figshare.12017805.v2
https://rs.figshare.com/articles/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805/2
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Branta leucopsis
Climate change
Svalbard
genre_facet Arctic
Branta leucopsis
Climate change
Svalbard
op_relation https://dx.doi.org/10.1098/rsbl.2020.0075
https://dx.doi.org/10.6084/m9.figshare.12017805
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.12017805.v2
https://doi.org/10.1098/rsbl.2020.0075
https://doi.org/10.6084/m9.figshare.12017805
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