Random evolutionary dynamics in predator–prey systems yields large, clustered ecosystems

IF 1.9 4区 数学 Q2 BIOLOGY
Christian H.S. Hamster , Jorik Schaap , Peter van Heijster , Joshua A. Dijksman
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引用次数: 0

Abstract

We study the effect of introducing new species through evolution into communities. We use the setting of predator–prey systems. Predator–prey dynamics is classically well modeled by Lotka–Volterra (LV) equations, also when multiple predator and prey species co-exist. We use a stochastic method to introduce new species in a two-trophic LV system. We find that introducing random evolving species leads to robust ecosystems in which large numbers of species coexist. Crucially, in these large ecosystems an emergent clustering of species is observed, tying functional differences to phylogenetic history.
我们研究通过进化将新物种引入群落的效果。我们以捕食者-猎物系统为背景。捕食者-猎物动力学在经典上可以用洛特卡-伏特拉(Lotka-Volterra,LV)方程很好地建模,当多个捕食者和猎物物种共存时也是如此。我们采用随机方法在双营养 LV 系统中引入新物种。我们发现,引入随机演化的物种会带来大量物种共存的稳健生态系统。最重要的是,在这些大型生态系统中,我们观察到了物种的聚集,将功能差异与系统发育历史联系起来。
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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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