灾难性事件后两物种时空竞争系统的数值研究与因子分析

Q3 Mathematics
Youwen Wang, M. Vasilyeva, S. Stepanov, Alexey L. Sadovski
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引用次数: 1

摘要

生态群落中物种间的相互作用可以用耦合系统偏微分方程来描述。为了从数值上分析这一问题,我们利用空间有限体积近似和半隐式时间近似构造了一个离散系统来解耦。我们首先模拟了系统在给定参数(繁殖率、竞争率和扩散率)、边界和种群密度初始条件下收敛到最终平衡状态的过程。然后,我们将灾难事件应用于给定地理位置和给定灾难大小,以计算系统的恢复时间和最终种群密度。然后,通过逐步放开不同参数的控制,研究了参数对种群平衡密度和灾后恢复时间的影响。最后,利用随机参数的两物种竞争模型的解生成数据集,并进行因子分析,确定影响灾害后恢复时间和最终种群密度的主要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Investigation and Factor Analysis of Two-Species Spatial-Temporal Competition System after Catastrophic Events
The interaction of species in an ecological community can be described by coupled system partial differential equations. To analyze the problem numerically, we construct a discrete system using finite volume approximation by space with semi-implicit time approximation to decouple a system. We first simulate the converges of the system to the final equilibrium state for given parameters (reproductive rate, competition rate, and diffusion rate), boundaries, and initial conditions of population density. Then, we apply catastrophic events on a given geographic position with given catastrophic sizes to calculate the restoration time and final population densities for the system. After that, we investigate the impact of the parameters on the equilibrium population density and restoration time after catastrophe by gradually releasing the hold of different parameters. Finally, we generate data sets by solutions of a two-species competition model with random parameters and perform factor analysis to determine the main factors that affect the restoration time and final population density after catastrophic events.
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来源期刊
WSEAS Transactions on Systems and Control
WSEAS Transactions on Systems and Control Mathematics-Control and Optimization
CiteScore
1.80
自引率
0.00%
发文量
49
期刊介绍: WSEAS Transactions on Systems and Control publishes original research papers relating to systems theory and automatic control. We aim to bring important work to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of these particular areas. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. It is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with systems theory, dynamical systems, linear and non-linear control, intelligent control, robotics and related areas. We also welcome scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.
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