Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 39, 21 June 2024
Open
Access | Article
Study of species relationship analysis based on the CMFR model
* Author to whom correspondence should be addressed.
Abstract
This study employs the Composite Multi-Factor Relationship (CMFR) model to delve into the complex interactions between sea lampreys and their prey within the Great Lakes, using a dataset from 2001 to 2011. It reveals how fluctuations in the sex ratio of lampreys alongside environmental factors critically influence the stability of the ecosystem. Through meticulous integration of data regarding plankton conditions and lamprey sex ratios, the research outlines the profound impact these variables have on predation behaviors and, subsequently, the ecological balance. The findings illuminate the utility of the CMFR model in shedding light on species interactions, providing vital insights for the strategic management of invasive species to safeguard ecosystem health. Additionally, the study emphasizes the importance of considering diverse biological and environmental factors in ecosystem management, offering valuable strategies for maintaining biodiversity and ecological stability. This comprehensive analysis contributes significantly to our understanding of predator-prey dynamics and the broader implications for aquatic ecosystem sustainability.
Keywords
lamprey, prediction, ecosystem stability, CMFR
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation
- ISBN (Print)
- 978-1-83558-463-7
- ISBN (Online)
- 978-1-83558-464-4
- Published Date
- 21 June 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/39/20240568
- Copyright
- 21 June 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited