Author(s)

Jiaying Zhao ¹, Jingyan Zhao ¹, Huanzhou Li ², Jianxin Chen ², Zeyu Zhang ¹

Affiliation(s)

¹ College of Fisheries, Tianjin Agricultural University, Tianjin, China
² College of Computer and Information Engineering, Tianjin Agricultural University, Tianjin, China

Corresponding Author

Zeyu Zhang

ABSTRACT

In this paper, the Lotka-Volterra model, time series model, simulated annealing algorithm and genetic algorithm are used to analyze the agro-ecosystem in multiple dimensions. Firstly, we analyze the ecological evolution of forests after their conversion into farmland and explore the sustainable agricultural management strategies by using time series models to analyze the ecosystem changes. Then, the Lotka-Volterra model was used to construct a food chain model to consider the effects of various factors on the stability of the ecosystem. In addition, the parameters of the Lotka-Volterra model were adjusted to assess the effects of species reintroduction on agroecosystems and analyze the interactions between them. Finally, with the help of simulated annealing algorithms, the effects of organic farming methods on multiple aspects of the ecosystem are explored in different scenarios. In the context of the crucial importance of ecological balance in agricultural development, this study identifies multiple key indicators and constructs a dynamic model based on natural processes and human decision-making, which ultimately comprehensively reveals the dynamic balance mechanism of agroecosystems and provides a scientific basis for agricultural management and ecological protection.

KEYWORDS

Simulated Annealing Algorithm; Time Series Model, Lotka-Volterra Model, Simulated Annealing Algorithm, Genetic Algorithm

CITE THIS PAPER

Jiaying Zhao, Jingyan Zhao, Huanzhou Li, Jianxin Chen, Zeyu Zhang, An Exploration of Ecological Development Based on Simulated Annealing Algorithm and Lotka-Volterra Modeling. Environment, Resource and Ecology Journal (2025) Vol. 9: 74-83. DOI: http://dx.doi.org/10.23977/erej.2025.090109.

REFERENCES

[1] Dong Lingbo. Simulation of forest multi-objective management planning based on simulated annealing algorithm [D]. Northeast Forestry University, 2016.DOI:10. 27009/d.cnki. gdblu.2016. 000042.
[2] Zhang Haonan. Research method of service ecosystem evolution based on Lotka-Volterra model[D]. Hangzhou University of Electronic Science and Technology, 2024.DOI:10. 27075/d.cnki. ghzdc.2024.001295.
[3] Shao Jia. Research on filling missing values of time series in ecological stations [D]. Beijing Forestry University, 2017. DOI: 10.26949/d.cnki.gblyu.2017.000365. 
[4] Deng R , Kang B , Zhang L ,et al.Weighted mapping of productivity potential based on simulated annealing algorithm for well placement optimization[J].Journal of Petroleum Exploration and Production Technology, 2024, 14(11):3031-3043.DOI:10.1007/s13202-024-01863-y.
[5] Deng Qiyue, Song Kebin. Thinking about the integration and development of ecological agriculture and organic vegetable production[J]. Southern Agricultural Machinery,2024,55(23):74-77.
[6] Zheng Yan. Outstanding problems in China's agro-ecological environment and the thinking of future scientific and technological innovation[J]. Science and Innovation,2023,(05):158-160.DOI:10.15913/j.cnki.kjycx.2023.05.051.

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