Agent-based Ecosystem Simulation Research under Forest Fire

Authors

Ying LiFollow
Nisuo DuFollow
Zhi Ouyang

Abstract

An Agent-based multi-species simulation model under forest fireis proposed to study the effect of forest fire on the balance of animal species population.By abstracting elements of each type of species and fire in the forest fire process as agents, the attributes and behavior rules of each type of agents according to the real characteristics of each type of species and forest fire are refined. ABM model is used to show the characteristics of multi-agent interaction in complex systems, and construct a multi-species forest ecological model and a forest fire model. On the basis of validating the rationality of the models, two models are integrated, and the changes of species and the effects before and after the occurrence of forest fires are analyzed.The results show that the species with high reproductive capacity and high mortality rates are still able to reproduce offspring rapidly under the harsh environmental conditions after the fire suppression. The higher the intensity of fire disturbance, the faster the species category grow. In conversely, the species with high competitive ability but low reproductive capacity are difficult to recover from the disaster.

Recommended Citation

Li, Ying; Du, Nisuo; and Ouyang, Zhi (2023) "Agent-based Ecosystem Simulation Research under Forest Fire," Journal of System Simulation: Vol. 35: Iss. 6, Article 19.
DOI: 10.16182/j.issn1004731x.joss.22-0155
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss6/19

First Page

1362

Revised Date

2022-04-16

DOI Link

http://dx.doi.org/10.16182/j.issn1004731x.joss.22-0155

Last Page

1371

CLC

TP391.9

Recommended Citation

Li Ying, Du Nisuo, Ouyang Zhi. Agent-based Ecosystem Simulation Research under Forest Fire[J]. Journal of System Simulation, 2023, 35(6): 1362-1371.

DOI

10.16182/j.issn1004731x.joss.22-0155