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疾病选择性捕食对受接触源和外部源感染的猎物的影响。

Effect of disease-selective predation on prey infected by contact and external sources.

作者信息

Das Krishna Pada, Roy Shovonlal, Chattopadhyay J

机构信息

Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata, India.

出版信息

Biosystems. 2009 Mar;95(3):188-99. doi: 10.1016/j.biosystems.2008.10.003. Epub 2008 Nov 1.

Abstract

We propose and analyze a simple mathematical model for susceptible prey (S)-infected prey (I)-predator (P) interaction, where the susceptible prey population (S) is infected directly from external sources as well as through contact with infected class (I) and the predator completely avoids consuming the infected prey. The model is analyzed to obtain different thresholds of the key parameters under which the system exhibits stability around the biologically feasible equilibria. Through numerical simulations we display the effects of external infection and the infection through contact on the system dynamics in the absence as well as in the presence of the predator. We compare the system dynamics when infection occurs only through contact, with that when it occurs through contact and external sources. Our analysis demonstrates that under a disease-selective predation, stability and oscillations of the system is determined by two key parameters: the external infection rate and the force of infection through contact. Due to the introduction of external infection, the predator and the prey population show limit-cycle oscillations over a range parametric values. We suggest that while predicting the dynamics of such an eco-epidemiological system, the modes of infection and the infection rates might be carefully investigated.

摘要

我们提出并分析了一个关于易感猎物(S)-受感染猎物(I)-捕食者(P)相互作用的简单数学模型,其中易感猎物种群(S)既会直接从外部来源受到感染,也会通过与受感染群体(I)接触而被感染,并且捕食者完全避免捕食受感染的猎物。对该模型进行分析以获得关键参数的不同阈值,在这些阈值下系统在生物学可行平衡点附近呈现出稳定性。通过数值模拟,我们展示了在没有捕食者以及存在捕食者的情况下,外部感染和接触感染对系统动态的影响。我们比较了仅通过接触发生感染时的系统动态与通过接触和外部来源发生感染时的系统动态。我们的分析表明,在疾病选择性捕食的情况下,系统的稳定性和振荡由两个关键参数决定:外部感染率和接触感染率。由于引入了外部感染,捕食者和猎物种群在一定参数值范围内呈现出极限环振荡。我们建议,在预测这种生态流行病学系统的动态时,可能需要仔细研究感染模式和感染率。

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