MODELING HARVESTING PROCESSES FOR POPULATIONS WITH NON-OVERLAPPING GENERATIONS

V. Matsenko
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Abstract

Difference equations are used in order to model the dynamics of populations with non-overlapping generations, since the growth of such populations occurs only at discrete points in time. In the simplest case such equations have the form $N_{t+1}= F(N_t)$, where $N_t >0$ is the population size at a moment of time $t$, and $F$ is a smooth function. Among such equations the discrete logistic equation and Ricker's equation are most often used in practice. In the given paper, these equations are considered width taking into account an effect of harvesting, that is, the equations of the form below are studied $N_{t+1}=r N_t (1- N_t) - c$ and $N_{t+1}= N_t \exp (r(1 - N_t / K )) - c$, where the parameters $r$, $K>0$, $c>0$ are harvesting intensity. Positive equilibrium points and conditions for their stability for these equations were found. These kinds of states are often realized in nature. For practice, periodic solutions are also important, especially with periods $T=2 (N_{t+2} = N_t)$ and $T=3 (N_{t+3} = N_t)$, since, with their existence, by Sharkovskii's theorem, one can do conclusions about the existence of periodic solutions of other periods. For the discrete logistic equation in analytical form, the values that make up the periodic solution with period $T=2$ were found. We used numerical methods in order to find solutions with period $T=3$. For Ricker's model, the question of the existence of periodic solutions can be investigated by computer analysis only. In the paper, a number of computer experiments were conducted in which periodic solutions were found and their stability was studied. For Ricker's model with harvesting, chaotic solutions were also found. As we can see, the study of difference equations gives many unexpected results.
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代不重叠种群的收获过程建模
差分方程是为了模拟非重叠世代群体的动力学,因为这种群体的增长只发生在离散的时间点上。在最简单的情况下,这样的方程具有$N_{t+1}= F(N_t)$的形式,其中$N_t >0$是在时刻$t$的人口规模,$F$是一个光滑函数。在这些方程中,离散logistic方程和Ricker方程在实际应用中最为常用。在本文中,考虑到收获的影响,这些方程被认为是宽度,即研究了如下形式的方程$N_{t+1}=r N_t (1- N_t) - c$和$N_{t+1}= N_t \exp (r(1 - N_t / K)) - c$,其中参数$r$, $K>0$, $c>0$为收获强度。找到了这些方程的正平衡点及其稳定性条件。这些状态通常在自然界中实现。在实践中,周期解也很重要,特别是周期$T=2 (N_{T +2} = N_t)$和$T=3 (N_{T +3} = N_t)$,因为有了它们的存在性,根据Sharkovskii定理,就可以得出其他周期周期解的存在性的结论。对于解析型离散logistic方程,找到了构成周期$T=2$的周期解的值。我们用数值方法来求周期为T=3的解。对于Ricker模型,周期解的存在性问题只能用计算机分析来研究。本文进行了一系列计算机实验,找到了周期解,并研究了周期解的稳定性。对于带收获的Ricker模型,也发现了混沌解。我们可以看到,研究差分方程会得到许多意想不到的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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