Perturbation analysis of nonlinear matrix population models
Perturbation analysis examines the response of a model to changes in its parameters. It is commonly applied to population growth rates calculated from linear models, but there has been no general approach to the analysis of nonlinear models. Nonlinearities in demographic models may arise due to dens...
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Max Planck Institute for Demographic Research
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doaj-0871ba258837441e96b67b267a5a50a72020-11-25T01:45:48ZengMax Planck Institute for Demographic ResearchDemographic Research1435-98712008-03-01183Perturbation analysis of nonlinear matrix population modelsHal CaswellPerturbation analysis examines the response of a model to changes in its parameters. It is commonly applied to population growth rates calculated from linear models, but there has been no general approach to the analysis of nonlinear models. Nonlinearities in demographic models may arise due to density-dependence, frequency-dependence (in 2-sex models), feedback through the environment or the economy, and recruitment subsidy due to immigration, or from the scaling inherent in calculations of proportional population structure. This paper uses matrix calculus to derive the sensitivity and elasticity of equilibria, cycles, ratios (e.g. dependency ratios), age averages and variances, temporal averages and variances, life expectancies, and population growth rates, for both age-classified and stage-classified models. Examples are presented, applying the results to both human and non-human populations.http://www.demographic-research.org/volumes/vol18/3/age averagesbarnaclesdensity-dependencedependency ratioselasticityhomeostasisimmigrationmatrix calculusmatrix population modelspopulation cyclessensitivityTriboliumtwo-sex models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hal Caswell |
spellingShingle |
Hal Caswell Perturbation analysis of nonlinear matrix population models Demographic Research age averages barnacles density-dependence dependency ratios elasticity homeostasis immigration matrix calculus matrix population models population cycles sensitivity Tribolium two-sex models |
author_facet |
Hal Caswell |
author_sort |
Hal Caswell |
title |
Perturbation analysis of nonlinear matrix population models |
title_short |
Perturbation analysis of nonlinear matrix population models |
title_full |
Perturbation analysis of nonlinear matrix population models |
title_fullStr |
Perturbation analysis of nonlinear matrix population models |
title_full_unstemmed |
Perturbation analysis of nonlinear matrix population models |
title_sort |
perturbation analysis of nonlinear matrix population models |
publisher |
Max Planck Institute for Demographic Research |
series |
Demographic Research |
issn |
1435-9871 |
publishDate |
2008-03-01 |
description |
Perturbation analysis examines the response of a model to changes in its parameters. It is commonly applied to population growth rates calculated from linear models, but there has been no general approach to the analysis of nonlinear models. Nonlinearities in demographic models may arise due to density-dependence, frequency-dependence (in 2-sex models), feedback through the environment or the economy, and recruitment subsidy due to immigration, or from the scaling inherent in calculations of proportional population structure. This paper uses matrix calculus to derive the sensitivity and elasticity of equilibria, cycles, ratios (e.g. dependency ratios), age averages and variances, temporal averages and variances, life expectancies, and population growth rates, for both age-classified and stage-classified models. Examples are presented, applying the results to both human and non-human populations. |
topic |
age averages barnacles density-dependence dependency ratios elasticity homeostasis immigration matrix calculus matrix population models population cycles sensitivity Tribolium two-sex models |
url |
http://www.demographic-research.org/volumes/vol18/3/ |
work_keys_str_mv |
AT halcaswell perturbationanalysisofnonlinearmatrixpopulationmodels |
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