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Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis
Lifetime reproductive output (LRO) determines per-generation growth rates, establishes criteria for population growth or decline, and is an important component of fitness. Empirical measurements of LRO reveal high variance among individuals. This variance may result from genuine heterogeneity in ind...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979506/ https://www.ncbi.nlm.nih.gov/pubmed/32025273 http://dx.doi.org/10.1007/s12080-017-0335-2 |
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author | van Daalen, Silke F. Caswell, Hal |
author_facet | van Daalen, Silke F. Caswell, Hal |
author_sort | van Daalen, Silke F. |
collection | PubMed |
description | Lifetime reproductive output (LRO) determines per-generation growth rates, establishes criteria for population growth or decline, and is an important component of fitness. Empirical measurements of LRO reveal high variance among individuals. This variance may result from genuine heterogeneity in individual properties, or from individual stochasticity, the outcome of probabilistic demographic events during the life cycle. To evaluate the extent of individual stochasticity requires the calculation of the statistics of LRO from a demographic model. Mean LRO is routinely calculated (as the net reproductive rate), but the calculation of variances has only recently received attention. Here, we present a complete, exact, analytical, closed-form solution for all the moments of LRO, for age- and stage-classified populations. Previous studies have relied on simulation, iterative solutions, or closed-form analytical solutions that capture only part of the sources of variance. We also present the sensitivity and elasticity of all of the statistics of LRO to parameters defining survival, stage transitions, and (st)age-specific fertility. Selection can operate on variance in LRO only if the variance results from genetic heterogeneity. The potential opportunity for selection is quantified by Crow’s index [Formula: see text] , the ratio of the variance to the square of the mean. But variance due to individual stochasticity is only an apparent opportunity for selection. In a comparison of a range of age-classified models for human populations, we find that proportional increases in mortality have very small effects on the mean and variance of LRO, but large positive effects on [Formula: see text] . Proportional increases in fertility increase both the mean and variance of LRO, but reduce [Formula: see text] . For a size-classified tree population, the elasticity of both mean and variance of LRO to stage-specific mortality are negative; the elasticities to stage-specific fertility are positive. |
format | Online Article Text |
id | pubmed-6979506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-69795062020-02-03 Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis van Daalen, Silke F. Caswell, Hal Theor Ecol Original Paper Lifetime reproductive output (LRO) determines per-generation growth rates, establishes criteria for population growth or decline, and is an important component of fitness. Empirical measurements of LRO reveal high variance among individuals. This variance may result from genuine heterogeneity in individual properties, or from individual stochasticity, the outcome of probabilistic demographic events during the life cycle. To evaluate the extent of individual stochasticity requires the calculation of the statistics of LRO from a demographic model. Mean LRO is routinely calculated (as the net reproductive rate), but the calculation of variances has only recently received attention. Here, we present a complete, exact, analytical, closed-form solution for all the moments of LRO, for age- and stage-classified populations. Previous studies have relied on simulation, iterative solutions, or closed-form analytical solutions that capture only part of the sources of variance. We also present the sensitivity and elasticity of all of the statistics of LRO to parameters defining survival, stage transitions, and (st)age-specific fertility. Selection can operate on variance in LRO only if the variance results from genetic heterogeneity. The potential opportunity for selection is quantified by Crow’s index [Formula: see text] , the ratio of the variance to the square of the mean. But variance due to individual stochasticity is only an apparent opportunity for selection. In a comparison of a range of age-classified models for human populations, we find that proportional increases in mortality have very small effects on the mean and variance of LRO, but large positive effects on [Formula: see text] . Proportional increases in fertility increase both the mean and variance of LRO, but reduce [Formula: see text] . For a size-classified tree population, the elasticity of both mean and variance of LRO to stage-specific mortality are negative; the elasticities to stage-specific fertility are positive. Springer Netherlands 2017-04-17 2017 /pmc/articles/PMC6979506/ /pubmed/32025273 http://dx.doi.org/10.1007/s12080-017-0335-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper van Daalen, Silke F. Caswell, Hal Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis |
title | Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis |
title_full | Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis |
title_fullStr | Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis |
title_full_unstemmed | Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis |
title_short | Lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis |
title_sort | lifetime reproductive output: individual stochasticity, variance, and sensitivity analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979506/ https://www.ncbi.nlm.nih.gov/pubmed/32025273 http://dx.doi.org/10.1007/s12080-017-0335-2 |
work_keys_str_mv | AT vandaalensilkef lifetimereproductiveoutputindividualstochasticityvarianceandsensitivityanalysis AT caswellhal lifetimereproductiveoutputindividualstochasticityvarianceandsensitivityanalysis |