Research Progress on Coupling Disaster-Causing Mechanism of Multiple Factors for Forest Fires in Central Yunnan Region
DOI:
https://doi.org/10.6911/Keywords:
Forest fire; multi-factor coupling; disaster-causing mechanism; spatiotemporal distribution; risk assessment; central Yunnan region.Abstract
From the perspectives of regional ecological security and socioeconomic development, central Yunnan is a key distribution area of forest resources in Yunnan Province. Under the combined effects of monsoon climate, mountainous terrain, flammable vegetation and frequent human activities, forest fires have long been characterized by a high incidence and have become an important restrictive factor. Against the background of global climate change, rising regional temperatures and frequent drought events have further increased the randomness of forest fire occurrence and the intensity of their spread. Existing studies have confirmed that forest fires in central Yunnan are not driven by a single factor, but the result of long-term interaction and nonlinear coupling among four types of factors: meteorological conditions, topography, vegetation fuel and human activities. Based on the theoretical framework of multi-factor coupled disaster-causing of forest fires, this paper systematically summarizes the spatiotemporal distribution patterns of forest fires in central Yunnan, integrates and analyzes the internal relationships and synergistic effects of disaster-forming environments, hazard-affected bodies and disaster-causing factors, clarifies the key mechanisms of multi-factor coupling driving the occurrence, development and disaster formation of forest fires, summarizes the progress of core methods such as multi-source data fusion, model simulation and risk identification, points out the deficiencies of current research in the quantification of coupling mechanisms, dynamic early warning and prevention-control transformation, and puts forward prospects for the subsequent establishment of multi-scale coupling analysis, intelligent monitoring and early warning, and accurate prevention and control systems. It is expected to provide a theoretical reference for the effective governance of forest fires and the sustainable protection of forest ecosystems in central Yunnan.
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