Delayed Logistic and Rosenzweig - MacArthur Models with Allometric Parameter Setting Estimate Population Cycles Well
A. Jan Hendriks, Christian Mulder

TL;DR
This study compares theoretical models of population cycles with empirical data across various species, demonstrating that allometric parameter setting can effectively predict cycle periods and amplitudes in population dynamics.
Contribution
It introduces a calibrated allometric approach to predict population oscillations, validated across diverse species and data sources, linking body size to population cycle characteristics.
Findings
Cycle times scale with body mass in herbivores as predicted by models.
Oscillation periods are size-independent in many predators and vertebrates.
Field data generally match model predictions within a factor of two.
Abstract
Context. So far, theoretical explanations for body-size patterns in periodic population dynamics have received little attention. In particular, tuning and testing of allometric models on empirical data and regressions has not been carried out yet. Here, oscillations expected from a one-species (delayed logistic) and a two-species (Rosenzweig-MacArthur) model were compared to cycles observed in laboratory experiments and field surveys for a wide range of invertebrates and vertebrates. The parameters in the equations were linked to body mass, using a consistent set of allometric relationships that was calibrated on 230 regressions. Oscillation period and amplitude predicted by the models were validated with data taken from literature. Results. The collected data showed that cycle times of herbivores scaled to species body mass with a slope up to 1/4 as expected from the models. With…
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