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Forest fire risk estimation in a typical temperate forest in Northeastern China using the Canadian forest fire weather index: case study in autumn 2019 and 2020

Author

Listed:
  • Maombi Mbusa Masinda

    (Northeast Forestry University
    Université Officielle de Ruwenzori)

  • Fei Li

    (Northeast Forestry University)

  • Liu Qi

    (Northeast Forestry University)

  • Long Sun

    (Northeast Forestry University)

  • Tongxin Hu

    (Northeast Forestry University)

Abstract

China's forest cover has increased by approximately 10% as a result of sustainable forest management since the late 1970s. The forest ecosystem area affected by fire is increasing at an alarming rate of approximately 600,000 ha per year. The northeastern part of China, with a forest cover of 41.6%, has the greatest percentage of acres affected by forest fires. This study combines field and satellite weather data to determine factors that influence dead fuel moisture content (FMC). It assesses the use of the Canadian forest fire weather index to determine the daily forest fire danger in a typical temperate forest in Northeastern China during autumn. Based on the Wilcoxon test for paired samples, the observed and predicted values of FMC showed similar variation in eight of eleven sampling sites (72.7%), with a p value > 0.05. Three sampling plots presented lower predicted values of FMC than observed values (27.3%), with a p value

Suggested Citation

  • Maombi Mbusa Masinda & Fei Li & Liu Qi & Long Sun & Tongxin Hu, 2022. "Forest fire risk estimation in a typical temperate forest in Northeastern China using the Canadian forest fire weather index: case study in autumn 2019 and 2020," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 1085-1101, March.
    • Handle: RePEc:spr:nathaz:v:111:y:2022:i:1:d:10.1007_s11069-021-05054-4
    DOI: 10.1007/s11069-021-05054-4
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    References listed on IDEAS

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    1. Pier-Olivier Tremblay & Thierry Duchesne & Steven G Cumming, 2018. "Survival analysis and classification methods for forest fire size," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-16, January.
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