Overcompensatory population dynamic responses to environmental stochasticity.

1. To quantify the interactions between density-dependent, population regulation and density-independent limitation, we studied the time-series dynamics of an experimental laboratory insect microcosm system in which both environmental noise and resource limitation were manipulated. 2. A hierarchical...

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Main Authors: Bull, J, Bonsall, M
Format: Journal article
Language:English
Published: 2008
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author Bull, J
Bonsall, M
author_facet Bull, J
Bonsall, M
author_sort Bull, J
collection OXFORD
description 1. To quantify the interactions between density-dependent, population regulation and density-independent limitation, we studied the time-series dynamics of an experimental laboratory insect microcosm system in which both environmental noise and resource limitation were manipulated. 2. A hierarchical Bayesian state-space approach is presented through which it is feasible to capture all sources of uncertainty, including observation error to accurately quantify the density dependence operating on the dynamics. 3. The regulatory processes underpinning the dynamics of two different bruchid beetles (Callosobruchus maculatus and Callosobruchus chinensis) are principally determined by environmental conditions, with fluctuations in abundance explained in terms of changes in overcompensatory dynamics and stochastic processes. 4. A general, stochastic population model is developed to explore the link between abundance fluctuations and the interaction between density dependence and noise. Taking account of time-lags in population regulation can substantially increase predicted population fluctuations resulting from underlying noise processes.
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spelling oxford-uuid:323cddda-ac77-41f3-8419-45203f57b4282022-03-26T13:12:48ZOvercompensatory population dynamic responses to environmental stochasticity.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:323cddda-ac77-41f3-8419-45203f57b428EnglishSymplectic Elements at Oxford2008Bull, JBonsall, M1. To quantify the interactions between density-dependent, population regulation and density-independent limitation, we studied the time-series dynamics of an experimental laboratory insect microcosm system in which both environmental noise and resource limitation were manipulated. 2. A hierarchical Bayesian state-space approach is presented through which it is feasible to capture all sources of uncertainty, including observation error to accurately quantify the density dependence operating on the dynamics. 3. The regulatory processes underpinning the dynamics of two different bruchid beetles (Callosobruchus maculatus and Callosobruchus chinensis) are principally determined by environmental conditions, with fluctuations in abundance explained in terms of changes in overcompensatory dynamics and stochastic processes. 4. A general, stochastic population model is developed to explore the link between abundance fluctuations and the interaction between density dependence and noise. Taking account of time-lags in population regulation can substantially increase predicted population fluctuations resulting from underlying noise processes.
spellingShingle Bull, J
Bonsall, M
Overcompensatory population dynamic responses to environmental stochasticity.
title Overcompensatory population dynamic responses to environmental stochasticity.
title_full Overcompensatory population dynamic responses to environmental stochasticity.
title_fullStr Overcompensatory population dynamic responses to environmental stochasticity.
title_full_unstemmed Overcompensatory population dynamic responses to environmental stochasticity.
title_short Overcompensatory population dynamic responses to environmental stochasticity.
title_sort overcompensatory population dynamic responses to environmental stochasticity
work_keys_str_mv AT bullj overcompensatorypopulationdynamicresponsestoenvironmentalstochasticity
AT bonsallm overcompensatorypopulationdynamicresponsestoenvironmentalstochasticity