Interaction model between sea lampreys and ecosystem based on Logistics model

Zhu Yue; Xia Lang

doi:10.62051/1m977073

Authors

Zhu Yue
Xia Lang

DOI:

https://doi.org/10.62051/1m977073

Keywords:

Logistics, Differential Equations, Sea lampreys.

Abstract

An interaction model between lampreys and ecosystem based on logistic equation is established. By solving the differential equations, the sex ratio of lampreys varies with the number of other populations, the number of its own population and the growth rate. The results suggest that changes in the sex ratio will give lampreys an advantage in population competition and inhibit the development of other populations.Logistics equations to study the performance of lampreys in population competition, and environmental equations to discuss lampreys management plans. This has practical implications for dealing with invasive species in the Great Lakes and elsewhere. In addition, we studied and built models to explore the pros and cons of species being able to change their sex ratios in response to resource availability and gain insight into the resulting ecosystem interactions.

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References

[1] Zhu Yigao, Li Jun, Pang Yue, et al. Seven gilled eel: an important model animal for biological evolution and disease research [J]. Genetics, 2020,42 (09): 847-857.

[2] Han Qing. Origin and Evolution of Vertebrate Apolipoproteins and Study on the Antibacterial Function of Lampetra lamprey LAL2 [D]. Liaoning Normal University, 2020.

[3] Li Wenwei. Gene cloning, recombinant expression, and preliminary exploration of apoptosis function of VDAC2 in lamprey [D]. Liaoning Normal University, 2023.

[4] Xu Mengfan, Yu Yongliang. Modelling analysis of the material properties of lamprey [C]//Chinese Society of Mechanics. Proceedings of the Chinese Mechanics Convention-2021+1 (Volume 5). Laboratory of Biomechanics, University of the Chinese Academy of Sciences;, 2022:1.

[5] Ma Qinghua, Li Jun, Xu Lei, et al. Correlation of morphological traits with body weight and analysis of differences in male and female morphological traits of Leishi lamprey in Yangjiang [J]. Journal of Aquaculture, 2018,31 (05): 19-28.

[6] Yang Lei. A study on predicting postoperative pancreatitis in patients with tumors and bile duct masses after ERCP based on logistic regression and decision tree method [J]. Henan Medical Research, 2024,33 (09): 1578-1582.

[7] Yang Shuxun, Yang Yuzhuang, Zheng Wei, et al. The body morphology of lampreys and the re compilation of key tables [J]. Biological Bulletin, 2017,52 (12): 1-3+64.

[8] Pan Xiong, Xu Yuhai, Liang Hongfang, et al. Preparation and application of polyclonal antibodies against MIF in Japanese lamprey [J]. Journal of Immunology, 2015,31 (12): 1082-1087.

[9] Z. Song, H. Xiao, and e. a. Tang Xiaoli, “Population relationship of innovative ecosys tems based on the logistic model,” Mathematics in Practice and Cognition, vol. 53,no. 12, pp. 251–260, 2023.

[10] Qin D. Gene cloning, recombinant expression and oxidative stress function of PDSS1 in Lampreys [D]. Liaoning normal university, 2022. DOI: 10.27212 /, dc nki. Glnsu. 2022.001548.