How localized consumption stabilizes predator-prey systems with finite frequency of mixing
Authored by PR Hosseini
Date Published: 2003
DOI: 10.1086/368293
Sponsors:
United States National Science Foundation (NSF)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Predator-prey theory began with aspatial models that assumed organisms
interacted as if they were ``well-mixed{''} particles that obey the laws
of mass action, but it has become clear that both the spatial and
individual nature of many organisms can change how the dynamics of such
systems function. Here I examine how localized consumption of prey by
predators changes the dynamics of predator-prey systems; I use an
individual-based simulation of the Rosenzweig-MacArthur model in
implicit space and its mean-field approximation. In combination with
limited movement, localized consumption makes the predator-prey dynamics
more stable than the comparable ``well-mixed{''} Rosenzweig-MacArthur
model. Using a spatial correlation, one can directly compare a
simplified version of the individual-based model with the
Rosenzweig-MacArthur model. While this comparison allows the changes in
the dynamics to be captured by the ``well-mixed{''} Rosenzweig-MacArthur
model, the parameters of the functional response are now dependent on
the movement parameters, and so the functional response must be
estimated statistically from the dynamics of the individual-based model.
Yet this implies that aspatial models may work in a scale-specific
fashion for spatial systems. Unlike many recent spatial models, the
localized consumption and limited movement in the model presented here
cannot produce coherent spatial patterns and do not depend on a patchy
structure, as found in metapopulation models. Instead, the individual
nature of the interactions creates a diffusion-limited reaction, which
appears closer to a form of ephemeral refuge.
Tags
Coexistence
Aggregation
Population-dynamics
Discrete
Persistence
Pattern-formation
Ecological
models
Patchy environments
Spatial scale