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Population dynamics of mutualism and intraspecific density dependence: how θ-logistic density dependence affects mutualistic positive feedback

View ORCID ProfileChristopher M. Moore, Samantha A. Catella, Karen C. Abbott
doi: https://doi.org/10.1101/108175
Christopher M. Moore
bBeginning fall 2017: Department of Biology, Colby College, Waterville, ME 04901, United States
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  • For correspondence: christopher.moore{at}colby.edu
Samantha A. Catella
aDepartment of Biology, Case Western Reserve University, Cleveland, OH 44106, United States
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Karen C. Abbott
aDepartment of Biology, Case Western Reserve University, Cleveland, OH 44106, United States
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Abstract

Mutualism describes the biological phenomenon where two or more species are reciprocally beneficial, regardless of their ecological intimacy or evolutionary history. Classic theory shows that mutualistic benefit must be relatively weak, or else it overpowers the stabilizing influence of intraspecific competition and leads to unrealistic, unbounded population growth. Interestingly, the conclusion that strong positive interactions lead to runaway population growth is strongly grounded in the behavior of a single model. This model ― the Lotka-Volterra competition model with a sign change to generate mutualism rather than competition between species ― assumes logistic growth of each species plus a linear interaction term to represent the mutualism. While it is commonly held that the linear interaction term is to blame for the model’s unrealistic behavior, we show here that a linear mutualism added to a θ-logistic model of population growth can prevent unbounded growth. We find that when density dependence is decelerating, the benefit of mutualism at equilibrium is greater than when density dependence is accelerating. Although there is a greater benefit, however, decelerating density dependence tends to destabilize populations whereas accelerating density dependence is always stable. We interpret these findings tentatively, but with promise for the understanding of the population ecology of mutualism by generating several predictions relating growth rates of mutualist populations and the strength of mutualistic interaction.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted November 18, 2017.
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Population dynamics of mutualism and intraspecific density dependence: how θ-logistic density dependence affects mutualistic positive feedback
Christopher M. Moore, Samantha A. Catella, Karen C. Abbott
bioRxiv 108175; doi: https://doi.org/10.1101/108175
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Population dynamics of mutualism and intraspecific density dependence: how θ-logistic density dependence affects mutualistic positive feedback
Christopher M. Moore, Samantha A. Catella, Karen C. Abbott
bioRxiv 108175; doi: https://doi.org/10.1101/108175

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