Top-Predator Survivor Region Is Affected by Bottom-Prey Mortality Rate on the Monte-Carlo Simulation in Lattice Model

被引:0
|
作者
Nagata, Minori [1 ]
Nagata, Hiroyasu [2 ]
机构
[1] Yokohama Natl Univ, Div Mech Engn & Mat Sci, Yokohama, Kanagawa 2408501, Japan
[2] Shizuoka Univ, Dept Syst Engn, Hamamatsu, Shizuoka 4328561, Japan
来源
NATURAL COMPUTING | 2010年 / 2卷
关键词
Bottom-prey; top-predator; survivor region; finite size lattice; SYSTEM;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This article is a continuance of [9] that study brings into focus on the n species systems food chain. Computer simulation is important today, and its results may be reflected to policy. Now, we change the mortality rate of the bottom-prey, in order to inspect the survivor region of the top-predator that is crucial for the conservation of the ecosystem. We carry out Monte-Carlo simulations on finite-size lattices composed of the species. The bottom-prey mortality rate is changed from 0 to the extinction value. Thereafter, we find the steady state densities against the species n and plot the predator survivor region. To realize the conservation of the top-predator population, substantial amount of hardship is anticipated, because the bottom-prey density gradually becomes a little.
引用
收藏
页码:236 / +
页数:2
相关论文
共 31 条
  • [31] Monte-Carlo simulation model for Polymer Optical Fiber Fabrication: Influence of parameters such as the cooling rate, pressure and polymer chain length on the optical and mechanical properties
    Bunge, C-A
    Al Houri, Mohmmed
    Kallweit, Jan
    Vad, Thomas
    MICRO-STRUCTURED AND SPECIALTY OPTICAL FIBRES VI, 2020, 11355