title: A cure for the plague of parameters: constraining models of complex population dynamics with allometries.
abstract: A major goal of ecology is to discover how dynamics and structure of multi-trophic ecological communities are related. This is difficult, because whole-community data are limited and typically comprise only a snapshot of a community instead of a time series of dynamics, and mathematical models of complex system dynamics have a large number of unmeasured parameters and therefore have been only tenuously related to real systems. These are related problems, because long time-series, if they were commonly available, would enable inference of parameters. The resulting 'plague of parameters' means most studies of multi-species population dynamics have been very theoretical. Dynamical models parametrized using physiological allometries may offer a partial cure for the plague of parameters, and these models are increasingly used in theoretical studies. However, physiological allometries cannot determine all parameters, and the models have also rarely been directly tested against data. We confronted a model of community dynamics with data from a lake community. Many important empirical patterns were reproducible as outcomes of dynamics, and were not reproducible when parameters did not follow physiological allometries. Results validate the usefulness, when parameters follow physiological allometries, of classic differential-equation models for understanding whole-community dynamics and the structure-dynamics relationship.
authors.affiliation: Imperial College London, , Silwood Park, Buckhurst Road, Ascot, Berkshire SL5 7PY, UK.
authors.forename: Lawrence N
authors.initials: LN
authors.lastname: Hudson
authors.forename: Daniel C
authors.initials: DC
authors.lastname: Reuman
mesh_terms: D000818:Animals; D058448:Biota; D004463:Ecology / Q000379:methods*; D060106:Lakes; D008824:Michigan; D008954:Models, Biological; D011157:Population Dynamics
keywords: body size; food webs; metabolic theory; predator–prey; trophic interactions
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