The process of vegetation recovery and burn probability changes in post-burn boreal forests in northeast China
Xuezheng Zong A B and Xiaorui Tian C *A Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
B University of Chinese Academy of Sciences, Beijing, 100049, China.
C Key Laboratory of Forest Protection of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China.
International Journal of Wildland Fire 31(9) 886-900 https://doi.org/10.1071/WF22033
Submitted: 6 December 2021 Accepted: 27 July 2022 Published: 30 August 2022
© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF.
Abstract
Background: Repeated fires may slow the recovery process in burned areas, thus affecting ecological succession.
Aims: This paper explores the changes in likelihood of reburn and fire behaviours in various phases of vegetation recovery.
Methods: We used field survey data and the Enhanced Vegetation Index (EVI) to assess vegetation recovery in boreal forests after fires at both landscape and field scales. The Burn-P3 model was used to simulate burn probability and fire behaviours and then evaluate the overall fire likelihood and potential behaviours in different recovery phases.
Key results: Vegetation began to recover in most burned areas within the first year after fire and reached prefire levels after 10–15 years of recovery. Vegetation in areas with steep slopes (>25°) and thin soil had not recovered after 20 years, accounting for 0.3% of the total burned area. The average burn probability and fire behaviour indices of the study area decreased significantly after fire owing to lower fuel levels.
Conclusions: Burned areas with steep slopes and thin soil showed slower recovery rates after fire. The recovered vegetation in most burned areas still had low burn likelihood and fire behaviours 20 years post burn.
Implications: Artificial regeneration and fire prevention should be carried out at highly vulnerable sites for rehabilitating forest ecosystems.
Keywords: boreal forest, burn probability, fire behaviors, fire management, forest fire, reburn likelihood, reburn simulation, vegetation recovery.
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