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: Mari Aas Fjelldal, Kate Layton-Matthews, Aline Magdalena Lee, Vidar Grøtan, Maarten J. J. E. Loonen, Brage Bremset Hansen
Format: Other Non-Article Part of Journal/Newspaper
Language:unknown
Published: 2020
Subjects:
Online Access:https://doi.org/10.6084/m9.figshare.12017805.v2
https://figshare.com/articles/journal_contribution/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805
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spelling ftroysocietyfig:oai:figshare.com:article/12017805 2023-05-15T14:53:32+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 Mari Aas Fjelldal Kate Layton-Matthews Aline Magdalena Lee Vidar Grøtan Maarten J. J. E. Loonen Brage Bremset Hansen 2020-03-23T09:01:18Z https://doi.org/10.6084/m9.figshare.12017805.v2 https://figshare.com/articles/journal_contribution/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805 unknown doi:10.6084/m9.figshare.12017805.v2 https://figshare.com/articles/journal_contribution/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805 CC BY 4.0 CC-BY Ecology population ecology age at first reproduction arctic climate change multi-event state uncertainty Text Journal contribution 2020 ftroysocietyfig https://doi.org/10.6084/m9.figshare.12017805.v2 2022-01-01T19:32:31Z 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. Other Non-Article Part of Journal/Newspaper Arctic Branta leucopsis Climate change Svalbard The Royal Society: Figshare Arctic Svalbard
institution Open Polar
collection The Royal Society: Figshare
op_collection_id ftroysocietyfig
language unknown
topic Ecology
population ecology
age at first reproduction
arctic
climate change
multi-event
state uncertainty
spellingShingle Ecology
population ecology
age at first reproduction
arctic
climate change
multi-event
state uncertainty
Mari Aas Fjelldal
Kate Layton-Matthews
Aline Magdalena Lee
Vidar Grøtan
Maarten J. J. E. Loonen
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
population ecology
age at first reproduction
arctic
climate change
multi-event
state uncertainty
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 Other Non-Article Part of Journal/Newspaper
author Mari Aas Fjelldal
Kate Layton-Matthews
Aline Magdalena Lee
Vidar Grøtan
Maarten J. J. E. Loonen
Brage Bremset Hansen
author_facet Mari Aas Fjelldal
Kate Layton-Matthews
Aline Magdalena Lee
Vidar Grøtan
Maarten J. J. E. Loonen
Brage Bremset Hansen
author_sort Mari Aas Fjelldal
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
publishDate 2020
url https://doi.org/10.6084/m9.figshare.12017805.v2
https://figshare.com/articles/journal_contribution/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Branta leucopsis
Climate change
Svalbard
genre_facet Arctic
Branta leucopsis
Climate change
Svalbard
op_relation doi:10.6084/m9.figshare.12017805.v2
https://figshare.com/articles/journal_contribution/Results_from_Viterbi_algorithm_in_E-SURGE_from_High-Arctic_family_planning_earlier_spring_onset_advances_age_at_first_reproduction_in_barnacle_geese/12017805
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.12017805.v2
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