Variation in risk in single-species discrete-time models

Simple, discrete-time, population models typically exhibit complex dynamics, like cyclicoscillations and chaos, when the net reproductive rate, $R$, is large. These traditionalmodels generally do not incorporate variability in juvenile 'risk,'' defined to be ameasure of a juvenile...

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Main Authors: Abhyudai Singh, Roger M. Nisbet
Format: Article
Language:English
Published: AIMS Press 2008-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.859
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author Abhyudai Singh
Roger M. Nisbet
author_facet Abhyudai Singh
Roger M. Nisbet
author_sort Abhyudai Singh
collection DOAJ
description Simple, discrete-time, population models typically exhibit complex dynamics, like cyclicoscillations and chaos, when the net reproductive rate, $R$, is large. These traditionalmodels generally do not incorporate variability in juvenile 'risk,'' defined to be ameasure of a juvenile's vulnerability to density-dependent mortality. For a broad class of discrete-time models we show that variability in risk across juveniles tends to stabilize the equilibrium. We consider both density-independent and density-dependent risk, and for each, we identify appropriate shapes of the distribution of risk that will stabilize the equilibrium for all values of $R$. In both cases, it is the shape of the distribution of risk and not the amount of variation in risk that is crucial for stability.
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spelling doaj-art-2e2d1054b36d4221b508d584252a3c672025-01-24T01:58:42ZengAIMS PressMathematical Biosciences and Engineering1551-00182008-09-015485987510.3934/mbe.2008.5.859Variation in risk in single-species discrete-time modelsAbhyudai Singh0Roger M. Nisbet1Department of Ecology, Evolution and Marine Biology, University of California at Santa Barbara, CA 93106-9610Department of Ecology, Evolution and Marine Biology, University of California at Santa Barbara, CA 93106-9610Simple, discrete-time, population models typically exhibit complex dynamics, like cyclicoscillations and chaos, when the net reproductive rate, $R$, is large. These traditionalmodels generally do not incorporate variability in juvenile 'risk,'' defined to be ameasure of a juvenile's vulnerability to density-dependent mortality. For a broad class of discrete-time models we show that variability in risk across juveniles tends to stabilize the equilibrium. We consider both density-independent and density-dependent risk, and for each, we identify appropriate shapes of the distribution of risk that will stabilize the equilibrium for all values of $R$. In both cases, it is the shape of the distribution of risk and not the amount of variation in risk that is crucial for stability.https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.859ricker modelpopulation dynamicsvariation in risksingle-species modelsdiscrete-time modelssensitivity of the equilibrium to reproduction rate
spellingShingle Abhyudai Singh
Roger M. Nisbet
Variation in risk in single-species discrete-time models
Mathematical Biosciences and Engineering
ricker model
population dynamics
variation in risk
single-species models
discrete-time models
sensitivity of the equilibrium to reproduction rate
title Variation in risk in single-species discrete-time models
title_full Variation in risk in single-species discrete-time models
title_fullStr Variation in risk in single-species discrete-time models
title_full_unstemmed Variation in risk in single-species discrete-time models
title_short Variation in risk in single-species discrete-time models
title_sort variation in risk in single species discrete time models
topic ricker model
population dynamics
variation in risk
single-species models
discrete-time models
sensitivity of the equilibrium to reproduction rate
url https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.859
work_keys_str_mv AT abhyudaisingh variationinriskinsinglespeciesdiscretetimemodels
AT rogermnisbet variationinriskinsinglespeciesdiscretetimemodels