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Research on closed ecosystems
- 1 Shude Experimental Middle School (East District), Chengdu, Sichuan.
* Author to whom correspondence should be addressed.
Abstract
In a closed ecosystem, the correlation between different species and the specific evolution process is important research subject, and the relevant experimental research and field investigations have attracted attention in recent years. In view of the complexity of chaotic systems, this paper aims to introduce and summarize the mathematical description of the aquarium project from multiple aspects, and try to propose a more concise scheme to describe the movement relationship between entities in the ecosystem. The artificial fish school algorithm was used in this research to simulate the response relationship of two species, and the rules of this aquarium were explored. The results show that this ecosystem still evolves to the same result even if the initial parameters are slightly different. This research simplifies the complex calculations in the process and provides new ideas and supplements for understanding the dynamic balance mechanism of closed ecosystems.
Keywords
aquarium, closed ecosystem, mathematical modeling, artificial fish swarm algorithm, ecological box
[1]. Shen, X. L., & Wang, S. H. (2018). A review of the impacts of new El Niño and traditional El Niño on climate. Modern Agricultural Science and Technology, (14), 209, 211.
[2]. Julianto, M. T., Dhimas, S., Sopaheluwakan, A., Nurdiati, S., & Septiawan, P. (2021). Identification of Global Warming Contribution to the El Niño Phenomenon Using Empirical Orthogonal Function Analysis. Agromet, 35(1), 11–19. https://doi.org/10.29244/j.agromet.35.1.11-19
[3]. Karuniasa, M., & Pambudi, P. A. (2022). The analysis of the El Niño phenomenon in the East Nusa Tenggara Province, Indonesia. Journal of Water and Land Development, 52, 180–185. https://doi.org/10.24425/jwld.2022.140388
[4]. Guzman, E., Ramos, C., & Dastgheib, A. (2020). Influence of the El Niño Phenomenon on Shoreline Evolution. Case Study: Callao Bay, Perú. Journal of Marine Science and Engineering, 8(2), 90. https://doi.org/10.3390/jmse8020090
[5]. Ebi, K. L., Vanos, J., Baldwin, J. W., Bell, J. E., Hondula, D. M., Errett, N. A., Hayes, K., Reid, C. E., Saha, S., Spector, J., & Berry, P. (2021). Extreme weather and climate change: Population health and health system implications. Annual Review of Public Health, 42(1), 293–315. https://doi.org/10.1146/annurev-publhealth-012420-105026
[6]. McMichael, A. J. (2015). Extreme weather events and infectious disease outbreaks. Virulence, 6(6), 543–547. https://doi.org/10.4161/21505594.2014.975022
[7]. Neshat, M., Sepidnam, G., Sargolzaei, M., & Toosi, A. N. (2012). Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications. Artificial Intelligence Review, 42(4), 965–997. https://doi.org/10.1007/s10462-012-9342-2
[8]. Reyes, T., & Shen, B.-W. (2019). A recurrence analysis of chaotic and non-chaotic solutions within a generalized nine-dimensional Lorenz model. Chaos, Solitons & Fractals, 125, 1–12. https://doi.org/10.1016/j.chaos.2019.05.003
[9]. Shen, B.W., Pielke, R. A., Zeng, X., Faghih-Naini, S., Cui, J., & Atlas, R. (2021). Is Weather Chaotic? Coexisting Attractors, Multistability, and Predictability. Research Square (Research Square). https://doi.org/10.21203/rs.3.rs-905957/v1
[10]. Shen, B.W., Pielke, R. A., Zeng, X., Baik, J.-J., Faghih-Naini, S., Cui, J., & Atlas, R. (2021). Is Weather Chaotic?: Coexistence of Chaos and Order within a Generalized Lorenz Model. Bulletin of the American Meteorological Society, 102(1), E148–E158. https://doi.org/10.1175/BAMS-D-19-0165.1
[11]. Huang, W., Xue, W., & Lu, M. (2006). Analysis on Chaotic Characteristics of Weather System. World Congress on Intelligent Control and Automation. https://doi.org/10.1109/wcica.2006.1713295
[12]. Le, B. (2024). Describing chaotic systems. ArXiv (Cornell University). https://doi.org/10.48550/arxiv.2407.07919
[13]. Castillo, O., & Melin, P. (2003). Application of a New Theory of Fuzzy Chaos for the Simulation and Control of NonLinear Dynamical Systems. Systems Analysis Modelling Simulation, 43(7), 847–865. https://doi.org/10.1080/0232929021000055451
[14]. Devaney, R. (2018). An introduction to chaotic dynamical systems. CRC press.
[15]. Pearson, K. (1905). The problem of the random walk. Nature, 72(1867), 342-342. Pearson, K. (1905). The Problem of the Random Walk. Nature, 72(1865), 294–294. https://doi.org/10.1038/072294b0
[16]. Jochum, M., Fischer, M., Isbell, F., Roscher, C., van der Plas, F., Boch, S., Boenisch, G., Buchmann, N., Catford, J. A., Cavender-Bares, J., Ebeling, A., Eisenhauer, N., Gleixner, G., Hölzel, N., Kattge, J., Klaus, V. H., Kleinebecker, T., Lange, M., Le Provost, G., & Meyer, S. T. (2020). The results of biodiversity–ecosystem functioning experiments are realistic. Nature Ecology & Evolution, 4(11), 1485–1494. https://doi.org/10.1038/s41559-020-1280-9
[17]. Lanchier, N. (2013). Stochastic Spatial Model of Producer-Consumer Systems on the Lattice. Advances in Applied Probability, 45(4), 1157–1181. https://doi.org/10.1239/aap/1386857862
[18]. Solomon, A. M. (1986). Transient response of forests to CO2-induced climate change: simulation modeling experiments in eastern North America. Oecologia, 68(4), 567–579. https://doi.org/10.1007/bf00378773
[19]. Post, E., Forchhammer, M. C., M. Syndonia Bret-Harte, Callaghan, T. V., Christensen, T. R., Elberling, B., Fox, A. D., Gilg, O., Hik, D. S., Høye, T. T., Ims, R. A., Jeppesen, E., Klein, D. R., Madsen, J., McGuire, A. D., Søren Rysgaard, Schindler, D. E., Stirling, I., Tamstorf, M. P., & Tyler, N. J. C. (2009). Ecological Dynamics Across the Arctic Associated with Recent Climate Change. Science, 325(5946), 1355–1358. https://doi.org/10.1126/science.1173113
[20]. Xiao, J., Chu, S., Tian, G., Thring, R. W., & Cui, L. (2016). An Eco-tank system containing microbes and different aquatic plant species for the bioremediation of N,N-dimethylformamide polluted river waters. Journal of Hazardous Materials, 320, 564–570. https://doi.org/10.1016/j.jhazmat.2016.07.037
[21]. Spence, C., Wolfe, J. D., Whitfield, C. J., Baulch, H. M., Basu, N. B., Bedard-Haughn, A., Belcher, K., Robert, Ferguson, G., Hayashi, M., Liber, K., McDonnell, J. J., Morrissey, C. A., Pomeroy, J. W., Reed, M. G., & Strickert, G. (2018). Prairie water: a global water futures project to enhance the resilience of prairie communities through sustainable water management. 44(2), 115–126. https://doi.org/10.1080/07011784.2018.1527256
[22]. Dickins, T. E. (2021). The Modern Synthesis. Evolutionary Biology, 51–79. https://doi.org/10.1007/978-3-030-86422-4_3
[23]. Steffen, W., Richardson, K., Rockstrom, J., Cornell, S. E., Fetzer, I., Bennett, E. M., Biggs, R., Carpenter, S. R., de Vries, W., de Wit, C. A., Folke, C., Gerten, D., Heinke, J., Mace, G. M., Persson, L. M., Ramanathan, V., Reyers, B., & Sorlin, S. (2015). Planetary boundaries: Guiding human development on a changing planet. Science, 347(6223).
[24]. Odum, E. P. (1971). Fundamentals of ecology (3rd ed.). W.B. Saunders Co.
[25]. Miyashita, T., Amano, T., & Yamakita, T. (2014). Effects of Ecosystem Diversity on Species Richness and Ecosystem Functioning and Services: A General Conceptualization. Integrative Observations and Assessments, 29–47. https://doi.org/10.1007/978-4-431-54783-9_2
[26]. Stork, N. E., Coddington, J. A., Colwell, R. K., Chazdon, R. L., Dick, C. W., Peres, C. A., Sloan, S., & Willis, K. (2009). Vulnerability and resilience of tropical forest species to land-use change. Conservation Biology, 23(6), 1438–1447. https://doi.org/10.1111/j.1523-1739.2009.01335.x
[27]. Gitgary-1024. (2024). Bioboxes. GitHub. https://github.com/bioboxes[Accessed: 05 May 2025].
Cite this article
Liu,T. (2025). Research on closed ecosystems. Advances in Engineering Innovation,16(5),123-137.
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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