A study of the competitive relationship between trout and bass based on differential equations

Authors

  • Sayang Mu

DOI:

https://doi.org/10.62051/c752xa86

Keywords:

Competition modeling; Biological populations; Differential equations.

Abstract

In this paper, the competitive relationship between trout and perch populations was analyzed by model differential equations, and the stability and final stabilization points under different parameters were explored. It is found that under the premise that global stability is better than local stability, trout and perch can coexist and reach the final stable state when the competition factors satisfy specific conditions; while under other competition conditions, it may lead to the number of one species tends to zero or the number of the other species tends to the maximum capacity. This has important implications for the understanding of biological population competition and the construction of competition models for software products.

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References

[1] LIN Dan-Min, WU Yan-Zhou, HUANG Le-Ting et al. Population growth potential and competition among dominant wasp species of four parasitic wasps on the eggs of the grassland noctuid moth [J]. Journal of Environmental Entomology, 2023, 45 (06): 1633 - 1644.

[2] HAN Dayong, WANG Jifeng, YANG Yunfei et al. Effects of grazing disturbance and intraspecific competition on the spatial distribution pattern of the black-scaled top iceplant population in the Ili River Valley [J]. Journal of Ecology, 2023, 43 (20): 8556 - 8563. DOI: 10.20103/j.stxb.202211303462. [3] Zhou ZJ, Luo ZX. Optimal fertility control for nonlinear competitive systems with age-structured n-populations [J]. Journal of Shandong University (Science Edition), 2023, 58 (10): 75 - 83.

[3] Yi-Lei Li, Wei Liang, Zi-Ang Zhao et al. Effects of the triazine herbicide Paraquat on marine phytoplankton communities - based on the analysis of microalgal population dynamics, interspecific competition and photosynthetic capacity [J]. Chinese Environmental Science, 2023, 43 (10): 5591 - 5603.

[4] Zhao Shicun. Particle swarm algorithm with hybrid learning mechanism and its application in parameter estimation of competitive models [D]. Shandong Normal University, 2023.

[5] Li Sha. Competition and Habitat Suitability of Fir Seedlings in Very Small Populations of Wild Plant Resources[D]. Guangxi Normal University, 2023.

[6] Kaiqiang Wang. Research on three swarm predation models based on chemotaxis and competitive mechanisms[D]. Jilin University, 2023.

[7] He SJ. Research on feedback control and random effects of two types of nonlinear competition/reciprocity models [D]. Hubei University for Nationalities, 2023.

[8] Feng Miao. Dynamics of stage-structured predator-feeder models and global states of a class of monotonic systems [D]. Shanghai Normal University, 2023.

[9] Qi Hao-Hao. Effects of alpine sagebrush mowing on ecological niche and interspecific associations of alpine meadow plant populations [D]. Lanzhou University, 2023.

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Published

12-08-2024

How to Cite

Mu, S. (2024) “A study of the competitive relationship between trout and bass based on differential equations”, Transactions on Computer Science and Intelligent Systems Research, 5, pp. 1354–1362. doi:10.62051/c752xa86.