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. 2012 Apr;9(2):431-44.
doi: 10.3934/mbe.2012.9.431.
A mutualism-parasitism system modeling host and parasite with mutualism at low density
[39]Yuanshi Wang^ [40] 1 , [41]Donald L Deangelis
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* ^1 School of Mathematics and Computational Science, Sun Yat-sen University,
Guangzhou, China. mcswys@mail.sysu.edu.cn
* PMID: 22901072
* DOI: [42]10.3934/mbe.2012.9.431
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A mutualism-parasitism system modeling host and parasite with mutualism at low density
Yuanshi Wang et al. Math Biosci Eng. 2012 Apr.
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. 2012 Apr;9(2):431-44.
doi: 10.3934/mbe.2012.9.431.
Authors
[46]Yuanshi Wang^ [47] 1 , [48]Donald L Deangelis
Affiliation
* ^1 School of Mathematics and Computational Science, Sun Yat-sen University,
Guangzhou, China. mcswys@mail.sysu.edu.cn
* PMID: 22901072
* DOI: [49]10.3934/mbe.2012.9.431
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Abstract
A mutualism-parasitism system of two species is considered, where mutualism is
the dominant interaction when the predators (parasites) are at low density while
parasitism is dominant when the predators are at high density. Our aim is to show
that mutualism at low density promotes coexistence of the species and leads to
high production of the prey (host). The mutualism-parasitism system presented
here is a combination of the Lotka-Volterra cooperative model and Lotka-Volterra
predator-prey model. By comparing dynamics of this system with those of the
Lotka-Volterra predator-prey model, we present the mechanisms by which the
mutualism improves the coexistence of the species and production of the prey.
Then the parameter space is divided into six regions, which correspond to the
four outcomes of mutualism, commensalism, predation/parasitism and neutralism,
respectively. When the parameters are varied continuously among the six regions,
it is shown that the interaction outcomes of the system transition smoothly among
the four outcomes. By comparing the dynamics of the specific system with those of
the Lotka-Volterra cooperative model, we show that the parasitism at high density
promotes stability of the system. A novel aspect of this paper is the simplicity
of the model, which allows rigorous and thorough analysis and transparency of the
results.
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