Study on the Impact of Sex Ratio Changes in Lamprey on the Ecosystem and Its Stability
DOI:
https://doi.org/10.54097/ehb8ay64Keywords:
Improved Differential Equation Model; PageRank algorithm; S-B-P Model.Abstract
Different species adopt different survival strategies. For lampreys, adaptive changes in sex ratio are crucial for their survival and reproduction. Then, we aim to find out how the change of lampreys’ sex ratio affect the ecosystem. Firstly, by expanding the Lotka-Volterra equations to three species and species competition models, we find that an increase in the male-female ratio of lampreys under different food resources leads to higher peaks of population, more pronounced fluctuations, and greater threats to their prey. Secondly, applying a method to calculate stability index with species’ biomass, we discussed the impact of lampreys’ sex ratio changes on ecosystem stability with species that are ranked by PageRank algorithm. When male-female ratio increases, the ecosystem tends to become unstable. In conclusion, adaptive changes in lampreys’ sex ratio has a great effect on their survival and reproduction. Therefore, studying the effects of lamprey sex ratio changes on ecosystems will contribute significantly to addressing the current issues.
Downloads
References
Siefkes M J, Johnson N S, Muir A M. A renewed philosophy about supplemental sea lamprey controls[J]. Journal of Great Lakes Research, 2021, 47: S742-S752.
Fissette S D, Buchinger T J, Wagner C M, et al. Progress towards integrating an understanding of chemical ecology into sea lamprey control[J]. Journal of Great Lakes Research, 2021, 47: S660-S672.
Das S, Gupta P K. A mathematical model on fractional Lotka–Volterra equations[J]. Journal of theoretical biology, 2011, 277(1): 1-6.
Hilal N. Mathematical and numerical simulations of the Lotka-Volterra Equations[J]. 2022.Ma Kunlong. Short term distributed load forecasting method based on big data [D]. Changsha: Hunan University, 2014.
Wang S Y, Chen W M, Wu X L. Competition analysis on industry populations based on a three-dimensional lotka–volterra model[J]. Discrete Dynamics in Nature and Society, 2021, 2021.
Pringle R M, Hutchinson M C. Resolving food-web structure[J]. Annual Review of Ecology, Evolution, and Systematics, 2020, 51: 55-80.
Tian W, Zhang H, Wang Z, et al. Analysis on the stability of plankton in a food web with empirical organism body mass distribution[J]. Environmental Science and Pollution Research, 2023, 30(8): 21327-21343.
Sharma P S, Yadav D, Garg P. A systematic review on page ranking algorithms[J]. International Journal of Information Technology, 2020, 12: 329-337.
Lü D, Lü Y, Gao G, et al. A landscape persistence-based methodological framework for assessing ecological stability[J]. Environmental Science and Ecotechnology, 2024, 17: 100300.
Parparov A, Gal G, Zohary T. Quantifying the ecological stability of a phytoplankton community: the Lake Kinneret case study[J]. Ecological indicators, 2015, 56: 134-144.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
