Mathematical Modeling of the Evolutionary Dynamics of a Planktonic Community Using a Discrete-Time Model

被引:1
作者
Neverova, Galina [1 ]
Zhdanova, Oksana [1 ]
机构
[1] Russian Acad Sci, Inst Automat & Control Proc, Far Eastern Branch, Vladivostok 690041, Russia
基金
俄罗斯科学基金会;
关键词
eco-genetic model with discrete time; evolution in haploid population; rapid evolution; predator-prey community; dynamics modes; bifurcations; multistability; cryptic cycles; 92Dxx; POPULATION-DYNAMICS; BLOOMS; MICROZOOPLANKTON; DEFENSE; CLIMATE; CYCLES;
D O I
10.3390/math11224673
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This study proposes a discrete-time eco-genetic model of a planktonic community that includes zooplankton and two competing phytoplankton haplotypes with and without a toxicity trait. The Holling type II response function describes predator consumption. We use the Ricker model to consider density limitation and regulation. The model is analytically and numerically studied. The loss of stability of fixed points occurs via the Neimark-Sacker scenario and a cascade of period-doubling bifurcations. The model reveals bistability and multistability. Therefore, the initial conditions can determine which of the coexisting dynamic modes will be attracted. If the competition of haplotypes is weaker than their self-regulation, then the variation in the current densities of community components can shift the observed dynamics, while the evolution direction remains unchanged. The ratio of haplotype fitnesses and predator pressure generally determines the asymptotic genetic composition of phytoplankton. If competition of haplotypes is higher than their self-regulation, then the bistability of monomorphic fixed points occurs when the displacement of one haplotype by another depends on initial conditions. The presence of predators can maintain the genetic polymorphism of the prey. This system shows dynamic modes similar to experimental dynamics: oscillation with delay, long-period antiphase fluctuations, and cryptic cycles emerging due to rapid evolution.
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收藏
页数:24
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