The relative importance of driving factors of wildfire occurrence across climatic gradients in the Inner Mongolia, China

  • Hongchao Sun
  • , Wen J. Wang
  • , Zhihua Liu
  • , Xianghua Zou
  • , Zhengxiang Zhang
  • , Hong Ying
  • , Yulin Dong
  • , Ran Yang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In recent decades, wildfire regimes have been changing in many parts of the world with significant differences among climatic regions. Thus, understanding the relationship between fires and driving factors in different climatic regions is important. We investigated the relative importance of wildfire drivers across climatic gradients using a Bayesian network model during 2001–2015 in the Inner Mongolia Autonomous Region (IMAR). Our results showed that regional-scale fire relative probability (FRP) on average increased in the IMAR, which was mainly attributed to increases in annual precipitation. However, changes in FRP and driving factors of wildfire occurrence varied among climatic regions. The FRP decreased at rates of −0.02/decade and −0.001/decade in the humid and semi-humid region, respectively, while increasing at an average rate of 0.05/ decade in the arid region. Temperature was recognized as the most influential driver of wildfires in the humid region, in which the relative importance of all driving factors remained relatively stable over time. In the semi-humid region, wildfires responded primarily to human activities, of which distance to railways was of greatest importance. The relative importance of distance to railways significantly increased over time, while the effects of temperature, humidity and elevation decreased considerably. Fractional vegetation cover (FVC) was the dominant factor controlling the wildfire occurrence in the arid region, in which the relative importance of precipitation significantly increased and the effect of settlements significantly decreased. Our study suggests that because of different driving factors of wildfires across climatic gradients, different fire prevention and management strategies are required. The optimal resource allocation for fire prevention should be adjusted according to the relative importance of wildfire drivers and spatiotemporal patterns of the FRP.

Original languageEnglish
Article number108249
JournalEcological Indicators
Volume131
DOIs
StatePublished - Nov 2021

Funding

This study was jointly funded by the National Natural Science Foundation of China (U19A2023, 41871045, 41922006), the Chinese Academy of Sciences (Y7H7031001), the Natural Science Foundation of Jilin Province (20190201119JC), and the Key laboratory project of wetland ecology and environment, Chinese Academy of Sciences (O9B3017001).

FundersFunder number
O9B3017001, 20190201119JC
National Natural Science Foundation of China41922006, 41871045, U19A2023
Chinese Academy of SciencesY7H7031001

    Keywords

    • Bayesian belief network
    • Climatic regions
    • Driving factors
    • Inner Mongolia
    • Spatiotemporal variations
    • Wildfire

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