Research on the influencing factors and prevention measures of long-term forest fire risk in Northeast China

Zhang, Boxin; Cai, Deyu; Ai, Sizhe; Wang, Hanxi; Zuo, Xiaokang

doi:10.1016/j.ecolind.2023.110965

Ecological Indicators

2023

DOI: 10.1016/j.ecolind.2023.110965

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Research on the influencing factors and prevention measures of long-term forest fire risk in Northeast China

Boxin Zhang,

Deyu Cai,

Sizhe Ai

et al.

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2024

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Cited by 6 publications

References 45 publications

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Integrated risk mapping for forest fire management using the analytical hierarchy process and ordered weighted average: a case study in southern Turkey

Özcan,

Caglayan,

Kabak

et al. 2024

Nat Hazards

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Forest fires pose a critical problem for natural environments and human settlements, necessitating effective risk management approaches. This study focuses on forest fire risk (FFR) mapping in the Antalya Forest, southern Turkey, by analyzing different criteria. Extensive literature research identifies nearly twenty criteria, which we re-evaluate based on expert opinions and study area characteristics, leading to the selection of four main criteria and fourteen sub-criteria. We process the data using Geographic Information System (GIS) software and calculate weights using the Analytical Hierarchy Process (AHP) and Ordered Weighted Average (OWA) techniques. The main criteria are topographic, meteorological, land use, and forest structure. In the AHP sub-criteria, precipitation, tree species, distance to settlement areas, and elevation receive high values. We classify the resultant FFR maps into five risk classes using both the Jenks Natural Breaks method and equal interval classification. We evaluate the accuracy of our maps using Receiver Operating Characteristic (ROC) analysis and Area Under Curve (AUC) values, based on historical forest fire data. The equal interval classification shows decreased alignment with historical fire data, especially for the AHP method, which performs significantly worse. Both OWA and AHP methods show better performance with Jenks classification compared to equal interval classification, indicating that Jenks Natural Breaks more effectively captures natural groupings in the data, making it a more suitable choice for risk mapping. Applying AHP and OWA in FFR mapping benefits regional forest management and highlights the universal applicability of these methodologies for broader environmental hazard assessments under changing climates.

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Integrated risk mapping for forest fire management using the analytical hierarchy process and ordered weighted average: a case study in southern Turkey

Özcan,

Caglayan,

Kabak

et al. 2024

Nat Hazards

View full text Add to dashboard Cite

show abstract

Research on accurate and effective identification of ecosystem surface based on human footprint index

Dong,

Qi,

Dai

et al. 2024

Ecological Indicators

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Toward better atmospheric polycyclic aromatic hydrocarbons pollution control in the Northern Hemisphere: Process analysis based on interpretable deep learning models

Tao,

Zhu,

et al. 2024

Journal of Cleaner Production

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Research on the influencing factors and prevention measures of long-term forest fire risk in Northeast China

Cited by 6 publications

References 45 publications

Integrated risk mapping for forest fire management using the analytical hierarchy process and ordered weighted average: a case study in southern Turkey

Integrated risk mapping for forest fire management using the analytical hierarchy process and ordered weighted average: a case study in southern Turkey

Research on accurate and effective identification of ecosystem surface based on human footprint index

Toward better atmospheric polycyclic aromatic hydrocarbons pollution control in the Northern Hemisphere: Process analysis based on interpretable deep learning models

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