Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar

1.Individuals are heterogeneous in many ways. Some of these differences are incorporated as individual states (e.g., age, size, breeding status) in population models. However, substantial amounts of heterogeneity may remain unaccounted for, due to unmeasurable genetic, maternal, or environmental fac...

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Main Authors: Jenouvrier, Stéphanie, Aubry, Lise M., Barbraud, Christophe, Weimerskirch, Henri, Caswell, Hal
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.5061/dryad.j6q05
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::da4306c4de7f432c374bbc5393b922b1 2023-05-15T13:43:31+02:00 Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar Jenouvrier, Stéphanie Aubry, Lise M. Barbraud, Christophe Weimerskirch, Henri Caswell, Hal 2021-07-14 https://doi.org/10.5061/dryad.j6q05 undefined unknown http://dx.doi.org/10.5061/dryad.j6q05 https://dx.doi.org/10.5061/dryad.j6q05 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:98480 10.5061/dryad.j6q05 oai:easy.dans.knaw.nl:easy-dataset:98480 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Life sciences medicine and health care Latent Life time reproductive success Life expectancy individual quality Fulmarus glacialoides Frailty Historical Southern Hemisphere envir demo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2021 fttriple https://doi.org/10.5061/dryad.j6q05 2023-01-22T16:51:43Z 1.Individuals are heterogeneous in many ways. Some of these differences are incorporated as individual states (e.g., age, size, breeding status) in population models. However, substantial amounts of heterogeneity may remain unaccounted for, due to unmeasurable genetic, maternal, or environmental factors. 2.Such unobserved heterogeneity (UH) affects the behavior of heterogeneous cohorts via intra-cohort selection and contributes to inter-individual variance in demographic outcomes such as longevity and lifetime reproduction. Variance is also produced by individual stochasticity, due to random events in the life cycle of wild organisms, yet no study thus far has attempted to decompose the variance in demographic outcomes into contributions from unobserved heterogeneity and individual stochasticity for an animal population in the wild. 3.We developed a stage-classified matrix population model for the Southern fulmar breeding on Ile des Pétrels, Antarctica. We applied multi-event, multi-state markrecapture methods to estimate a finite mixture model accounting for UH in all vital rates and Markov chain methods to calculate demographic outcomes. Finally, we partitioned the variance in demographic outcomes into contributions from unobserved heterogeneity and individual stochasticity. 4.We identify three UH groups, differing substantially in longevity, lifetime reproductive output, age at first reproduction, and in the proportion of the life spent in each reproductive state. 14% of individuals at fledging have a delayed but high probability of recruitment and extended reproductive lifespan. 67% of individuals are less likely to reach adulthood, recruit late and skip breeding often but have the highest adult survival rate. 19% of individuals recruit early and attempt to breed often. They are likely to raise their offspring successfully, but experience a relatively short lifespan. Unobserved heterogeneity only explains a small fraction of the variances in longevity (5.9%), age at first reproduction (3.7%) and lifetime ... Dataset Antarc* Antarctica Unknown Fulmar ENVELOPE(-46.016,-46.016,-60.616,-60.616) Pétrels ENVELOPE(140.017,140.017,-66.667,-66.667) Ile des Pétrels ENVELOPE(140.010,140.010,-66.665,-66.665)
institution Open Polar
collection Unknown
op_collection_id fttriple
language unknown
topic Life sciences
medicine and health care
Latent
Life time reproductive success
Life expectancy
individual quality
Fulmarus glacialoides
Frailty
Historical
Southern Hemisphere
envir
demo
spellingShingle Life sciences
medicine and health care
Latent
Life time reproductive success
Life expectancy
individual quality
Fulmarus glacialoides
Frailty
Historical
Southern Hemisphere
envir
demo
Jenouvrier, Stéphanie
Aubry, Lise M.
Barbraud, Christophe
Weimerskirch, Henri
Caswell, Hal
Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar
topic_facet Life sciences
medicine and health care
Latent
Life time reproductive success
Life expectancy
individual quality
Fulmarus glacialoides
Frailty
Historical
Southern Hemisphere
envir
demo
description 1.Individuals are heterogeneous in many ways. Some of these differences are incorporated as individual states (e.g., age, size, breeding status) in population models. However, substantial amounts of heterogeneity may remain unaccounted for, due to unmeasurable genetic, maternal, or environmental factors. 2.Such unobserved heterogeneity (UH) affects the behavior of heterogeneous cohorts via intra-cohort selection and contributes to inter-individual variance in demographic outcomes such as longevity and lifetime reproduction. Variance is also produced by individual stochasticity, due to random events in the life cycle of wild organisms, yet no study thus far has attempted to decompose the variance in demographic outcomes into contributions from unobserved heterogeneity and individual stochasticity for an animal population in the wild. 3.We developed a stage-classified matrix population model for the Southern fulmar breeding on Ile des Pétrels, Antarctica. We applied multi-event, multi-state markrecapture methods to estimate a finite mixture model accounting for UH in all vital rates and Markov chain methods to calculate demographic outcomes. Finally, we partitioned the variance in demographic outcomes into contributions from unobserved heterogeneity and individual stochasticity. 4.We identify three UH groups, differing substantially in longevity, lifetime reproductive output, age at first reproduction, and in the proportion of the life spent in each reproductive state. 14% of individuals at fledging have a delayed but high probability of recruitment and extended reproductive lifespan. 67% of individuals are less likely to reach adulthood, recruit late and skip breeding often but have the highest adult survival rate. 19% of individuals recruit early and attempt to breed often. They are likely to raise their offspring successfully, but experience a relatively short lifespan. Unobserved heterogeneity only explains a small fraction of the variances in longevity (5.9%), age at first reproduction (3.7%) and lifetime ...
format Dataset
author Jenouvrier, Stéphanie
Aubry, Lise M.
Barbraud, Christophe
Weimerskirch, Henri
Caswell, Hal
author_facet Jenouvrier, Stéphanie
Aubry, Lise M.
Barbraud, Christophe
Weimerskirch, Henri
Caswell, Hal
author_sort Jenouvrier, Stéphanie
title Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar
title_short Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar
title_full Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar
title_fullStr Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar
title_full_unstemmed Data from: Interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the Southern fulmar
title_sort data from: interacting effects of unobserved heterogeneity and individual stochasticity in the life-history of the southern fulmar
publishDate 2021
url https://doi.org/10.5061/dryad.j6q05
long_lat ENVELOPE(-46.016,-46.016,-60.616,-60.616)
ENVELOPE(140.017,140.017,-66.667,-66.667)
ENVELOPE(140.010,140.010,-66.665,-66.665)
geographic Fulmar
Pétrels
Ile des Pétrels
geographic_facet Fulmar
Pétrels
Ile des Pétrels
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
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