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: Article in Journal/Newspaper
Language:unknown
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10255/dryad.154130
https://doi.org/10.5061/dryad.j6q05
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spelling ftdryad:oai:v1.datadryad.org:10255/dryad.154130 2023-05-15T13:57:22+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 Southern Hemisphere historical 2017-09-12T20:16:27Z http://hdl.handle.net/10255/dryad.154130 https://doi.org/10.5061/dryad.j6q05 unknown doi:10.5061/dryad.j6q05/1 doi:10.1111/1365-2656.12752 doi:10.5061/dryad.j6q05 Jenouvrier S, Aubry LM, Barbraud C, Weimerskirch H, Caswell H (2017) Interacting effects of unobserved heterogeneity and individual stochasticity in the life history of the southern fulmar. Journal of Animal Ecology 87(1): 212-222. http://hdl.handle.net/10255/dryad.154130 Frailty Individual quality Latent Life expectancy Life time reproductive success Article 2017 ftdryad https://doi.org/10.5061/dryad.j6q05 https://doi.org/10.5061/dryad.j6q05/1 https://doi.org/10.1111/1365-2656.12752 2020-01-01T15:55:18Z 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 reproduction (22%). 5.UH can affect the entire life cycle, including survival, development, and reproductive rates, with consequences over the lifetime of individuals and impacts on cohort dynamics. The respective role of unobserved heterogeneity versus individual stochasticity varies greatly among demographic outcomes. We discuss the implication of our finding for the gradient of life-history strategies observed among species and argue that individual differences should always be accounted for in demographic studies of wild populations. Article in Journal/Newspaper Antarc* Antarctica Dryad Digital Repository (Duke University) 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 Dryad Digital Repository (Duke University)
op_collection_id ftdryad
language unknown
topic Frailty
Individual quality
Latent
Life expectancy
Life time reproductive success
spellingShingle Frailty
Individual quality
Latent
Life expectancy
Life time reproductive success
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 Frailty
Individual quality
Latent
Life expectancy
Life time reproductive success
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 reproduction (22%). 5.UH can affect the entire life cycle, including survival, development, and reproductive rates, with consequences over the lifetime of individuals and impacts on cohort dynamics. The respective role of unobserved heterogeneity versus individual stochasticity varies greatly among demographic outcomes. We discuss the implication of our finding for the gradient of life-history strategies observed among species and argue that individual differences should always be accounted for in demographic studies of wild populations.
format Article in Journal/Newspaper
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 2017
url http://hdl.handle.net/10255/dryad.154130
https://doi.org/10.5061/dryad.j6q05
op_coverage Southern Hemisphere
historical
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
op_relation doi:10.5061/dryad.j6q05/1
doi:10.1111/1365-2656.12752
doi:10.5061/dryad.j6q05
Jenouvrier S, Aubry LM, Barbraud C, Weimerskirch H, Caswell H (2017) Interacting effects of unobserved heterogeneity and individual stochasticity in the life history of the southern fulmar. Journal of Animal Ecology 87(1): 212-222.
http://hdl.handle.net/10255/dryad.154130
op_doi https://doi.org/10.5061/dryad.j6q05
https://doi.org/10.5061/dryad.j6q05/1
https://doi.org/10.1111/1365-2656.12752
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