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引用次数: 0
摘要
Matsuda 和 Abrams(Theor Popul Biol 45(1):76-91,1994 年)通过进化开始了对物种自我灭绝的探索,其重点是在具有进化觅食特征的猎物-捕食者系统中,突变体在灭绝边界附近的有利位置。以前的模型缺乏对捕食长期影响的理论研究。在我们的模型中,我们引入了恒定努力的猎物和捕食者捕食,以及捕食者的个体逻辑增长。该模型揭示了两种截然不同的进化结果:(i) 以鞍节点分岔为标志的自杀式进化,即低觅食率突变体的入侵导致猎物灭绝;以及 (ii) 以次临界霍普夫分岔为特征的逆转进化,导致猎物循环进化。我们采用了一种基于格劳宾纳基础计算的创新方法,确定了各种分岔流形,包括折叠、跨临界、尖顶、霍普夫和波格丹诺夫-塔肯斯分岔。在其他因素保持不变的情况下,收割参数的变化会产生这些截然不同的情况,从而使该模型成为一个引人入胜的研究课题。
The impact of harvesting on the evolutionary dynamics of prey species in a prey-predator systems.
Matsuda and Abrams (Theor Popul Biol 45(1):76-91, 1994) initiated the exploration of self-extinction in species through evolution, focusing on the advantageous position of mutants near the extinction boundary in a prey-predator system with evolving foraging traits. Previous models lacked theoretical investigation into the long-term effects of harvesting. In our model, we introduce constant-effort prey and predator harvesting, along with individual logistic growth of predators. The model reveals two distinct evolutionary outcomes: (i) Evolutionary suicide, marked by a saddle-node bifurcation, where prey extinction results from the invasion of a lower forager mutant; and (ii) Evolutionary reversal, characterized by a subcritical Hopf bifurcation, leading to cyclic prey evolution. Employing an innovative approach based on Gröbner basis computation, we identify various bifurcation manifolds, including fold, transcritical, cusp, Hopf, and Bogdanov-Takens bifurcations. These contrasting scenarios emerge from variations in harvesting parameters while keeping other factors constant, rendering the model an intriguing subject of study.
期刊介绍:
The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena.
Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.