Computing Numerical Simulations and Evolutionary Dynamics of a Population Model in a Polluted Environment

被引：0
|
作者：
Liu, Lidan [1 ]
Meng, Xinzhu [1 ]
Zhang, Tonghua [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Peoples R China
来源：
2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年
基金：
中国国家自然科学基金;
关键词：
lokta-volterra model; adaptive dynamics; computing simulations; evolutionary stable strategy; branching;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the effects of toxicant on evolving trait of species in a polluted environment. By using the method of population dynamics and adaptive analysis, conditions for continuously stable strategy and evolutionary branching of the monomorphic or dimorphic model are obtained. In addition, some computing numerical simulations are introduced to illustrate the theoretical results. It is shown that low levels of toxicant exposure can lead to biological diversity.
引用
收藏
页码：50 / 54
页数：5
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