Fire (Aug 2023)

Simulation Study of an Abstract Forest Ecosystem with Multi-Species under Lightning-Caused Fires

  • Zhi Ouyang,
  • Shiying Wang,
  • Nisuo Du

DOI
https://doi.org/10.3390/fire6080308
Journal volume & issue
Vol. 6, no. 8
p. 308

Abstract

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There is a complex interaction between lightning-caused fire behavior and the flora and fauna of the forest, which involves the influence of a large number of ecological factors. However, more comprehensive simulation studies under multi-system interactions between lightning ignition, forest fire spread, and animal behavior are not well developed. In this paper, we propose a forest ecosystem model based on the Agent-based modelling approach to explore the detailed linkages between different forms of lightning-caused fires and forest biodiversity. The model simulates the lightning ignition, fire spread, vegetation burning and recovery, and multi-species-survival dynamics. The experimental results show the sensitivity between environmental parameters and the magnitude of lightning-caused fires, and the beneficial ecological consequences of lightning-caused fires on forest ecosystems. By exploring detailed linkages between different forms of lightning-caused fires and forest biodiversity, we provide theoretical insights and reference suggestions for forest system governance and biodiversity conservation.

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