Coexistence of cycling and dispersing consumer species: Armstrong and McGehee in space
Authored by WG Wilson, PA Abrams
Date Published: 2005
DOI: 10.1086/427733
Sponsors:
National Science and Engineering Research Council of Canada (NSERC)
United States National Science Foundation (NSF)
Platforms:
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Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
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Abstract
Two competing consumer species may coexist using a single homogeneous
resource when the more efficient consumer - the one having the lowest
equilibrium resource density - has a more non-linear functional response
that generates consumer-resource cycles. We extend this model of
nonequilibrium coexistence, as proposed by Armstrong and McGehee, by
putting the interaction into a spatial context using two frameworks: a
spatially explicit individual-based model and a spatially implicit
metapopulation model. We find that Armstrong and McGehee's mechanism of
coexistence can operate in a spatial context. However, individual-based
simulations suggest that decreased dispersal restricts coexistence in
most cases, whereas differential equation models of metapopulations
suggest that a low rate of dispersal between subpopulations often
increases the coexistence region. This difference arises in part because
of two potentially opposing effects on coexistence due to the asynchrony
in the temporal dynamics at different locations. Asynchrony implies that
the less efficient species is more likely to be favored in some spatial
locations at any given time, which broadens the conditions for
coexistence. On the other hand, asynchrony and dispersal can also reduce
the amplitude of local population cycles, which restricts coexistence.
The relative influence of these two effects depends on details of the
population dynamics and the representation of space. Our results also
demonstrate that coexistence via the Armstrong-McGehee mechanism can
occur even when there is little variation in the global densities of
either the consumers or the resource, suggesting that empirical studies
of the mechanisms should measure densities on several spatial scales.
Tags
Dynamics
Resource competition
Mechanisms
Prey
Functional-response
Population-models
Growth-rates
Interspecific competition
Variable environment
Competing predators