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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Main Author: Hal Caswell
Format: Article
Language:English
Published: Max Planck Institute for Demographic Research 2008-03-01
Series:Demographic Research
Subjects:
Online Access:http://www.demographic-research.org/volumes/vol18/3/
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spelling 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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