Sustainable scenarios in a plants–rhizobacteria–plant consumers system are in risk when biotic or abiotic factors change

IF 1.9 4区 数学 Q2 BIOLOGY
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Abstract

The ecological relationship among plants, rhizobacteria and plant consumers has attracted the attention of researchers due to its implications in field crops. It is known that, the rhizosphere is occupied not only by rhizobacteria which grant benefits to the plants but also by bacteria which are detrimental for them. In this work, we construct and analyze a plants–rhizobacteria–plant consumers system. In the modeling process, it is assumed that there is a conditioned interaction between plants and bacteria in the rhizosfera such that there is a mutualistic relationship at low densities of rhizobacteria and the relationship is parasitic or competitive at higher densities of them. Benefits granted by rhizobacteria include mechanisms that increase the plant growth and defense mechanisms against plant consumers. From the analysis of the model and its simplified version, we show that scenarios of coexistence of all populations can occur for a wide range of values of the parameters which describe biotic or abiotic factors; however, these scenarios are in risk since scenarios of exclusion of species can occur simultaneously due to the presence of bistability phenomena. The results obtained can be useful for the decision makers to design interventions strategies on field crops when plant growth-promoting rhizobacteria are used.

当生物或非生物因素发生变化时,植物-根瘤菌-植物消费者系统中的可持续方案就会面临风险。
植物、根瘤菌和植物消费者之间的生态关系因其对大田作物的影响而引起了研究人员的关注。众所周知,根圈中不仅有对植物有益的根瘤菌,也有对植物有害的细菌。在这项工作中,我们构建并分析了植物-根瘤菌-植物消费者系统。在建模过程中,我们假设根瘤菌群中的植物和细菌之间存在有条件的相互作用,在根瘤菌密度较低时,植物和细菌之间是互利关系,而在根瘤菌密度较高时,植物和细菌之间是寄生或竞争关系。根瘤菌带来的益处包括促进植物生长的机制和针对植物消费者的防御机制。通过对模型及其简化版的分析,我们发现,在描述生物或非生物因素的参数值范围很广的情况下,可能会出现所有种群共存的情况;但是,由于存在双稳态现象,可能会同时出现物种被排斥的情况,因此这些情况是有风险的。在使用促进植物生长的根瘤菌时,所获得的结果对决策者设计大田作物干预策略很有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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