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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Bibliographic Details
Main Authors: Jenouvrier, Stéphanie, Aubry, Lise M., Barbraud, Christophe, Weimerskirch, Henri, Caswell, Hal
Format: Dataset
Language:English
Published: Dryad 2017
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.j6q05
https://datadryad.org/stash/dataset/doi:10.5061/dryad.j6q05
id ftdatacite:10.5061/dryad.j6q05
record_format openpolar
spelling ftdatacite:10.5061/dryad.j6q05 2024-02-04T09:56:03+01:00 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 2017 https://dx.doi.org/10.5061/dryad.j6q05 https://datadryad.org/stash/dataset/doi:10.5061/dryad.j6q05 en eng Dryad https://dx.doi.org/10.1111/1365-2656.12752 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Latent Life time reproductive success Life expectancy individual quality Fulmarus glacialoides Frailty Historical Dataset dataset 2017 ftdatacite https://doi.org/10.5061/dryad.j6q0510.1111/1365-2656.12752 2024-01-05T04:51:50Z 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 ... : Jenouvrier_et_al_2017_JAESee Supplementary material and section 7: Other data available on Dryad, for a detailed description of the files. ... Dataset Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) Fulmar ENVELOPE(-46.016,-46.016,-60.616,-60.616) Ile des Pétrels ENVELOPE(140.010,140.010,-66.665,-66.665) Pétrels ENVELOPE(140.017,140.017,-66.667,-66.667)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Latent
Life time reproductive success
Life expectancy
individual quality
Fulmarus glacialoides
Frailty
Historical
spellingShingle Latent
Life time reproductive success
Life expectancy
individual quality
Fulmarus glacialoides
Frailty
Historical
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 Latent
Life time reproductive success
Life expectancy
individual quality
Fulmarus glacialoides
Frailty
Historical
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 ... : Jenouvrier_et_al_2017_JAESee Supplementary material and section 7: Other data available on Dryad, for a detailed description of the files. ...
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 ...
publisher Dryad
publishDate 2017
url https://dx.doi.org/10.5061/dryad.j6q05
https://datadryad.org/stash/dataset/doi:10.5061/dryad.j6q05
long_lat ENVELOPE(-46.016,-46.016,-60.616,-60.616)
ENVELOPE(140.010,140.010,-66.665,-66.665)
ENVELOPE(140.017,140.017,-66.667,-66.667)
geographic Fulmar
Ile des Pétrels
Pétrels
geographic_facet Fulmar
Ile des Pétrels
Pétrels
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://dx.doi.org/10.1111/1365-2656.12752
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.j6q0510.1111/1365-2656.12752
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