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...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2017
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.j6q05 https://datadryad.org/stash/dataset/doi:10.5061/dryad.j6q05 |
| Summary: | 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. ... |
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