Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis

Fire has become a major disturbing factor in boreal forests, and giant forest disturbances play a vital role in regulating the climate under global warming. Therefore, it is essential to investigate the spatiotemporal patterns and main drivers of post-fire vegetation recovery for forest ecological research and post-fire recovery management. However, previous studies have focused on the post-fire forest change within the entire fire perimeter, lacking separate analysis and comparison of the burned zone (BZ) and unburned zone (UNBZ). Here, we propose the utilization of Moderate Resolution Imaging Spectroradiometer land cover type and vegetation index data to monitor vegetation dynamics and explore its drivers after the most serious forest fire in the history of P.R. China in the Greater Hinggan Mountains (GHM). The temporal and spatial patterns of vegetation recovery in the BZ/UNBZ in the GHM were analyzed using the Sen & Mann-Kendall method, Hurst index and coefficient of variation, and their driving mechanisms were explored using GeoDetector and Geographically Weighted Regression. The results showed that there were significant differences in the spatial distribution and fluctuation of vegetation between the BZ and UNBZ, and that the BZ exhibited higher productivity and vigor. Vegetation recovery was influenced by different dominant factors and changed over time, in which land surface temperature and precipitation dominated all the time, whereas topographic relief and elevation had a more significant contribution to vegetation recovery in the BZ and UNBZ, respectively. This study provides a scientific basis for the protection and management of vegetation in disturbed forested areas, particularly after fires. • Differences in vegetation between burned/unburned areas are fully ascertained. • Vegetation in burned zones has higher greenness and vigor than unburned zones. • Land surface temperature and precipitation dominate vegetation recovery. • Optimal vegetation growth conditions in burned and unburned zones were determined.

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Publication Details

Journal
Ecological Informatics
Published
2024-10-09
DOI
https://doi.org/10.1016/j.ecoinf.2024.102850
Citations
7
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
1.98

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article

Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis

Bohan Jiang, Yuan Zou, Tetsuro Sakai, Chunying Wu et al.
7 citations
Ecological Informatics
Fire effects on ecosystems
1.98
article

Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis

Bohan Jiang, Yuan Zou, Tetsuro Sakai, Chunying Wu, Wei Chen, Ziyi Wu, Xuechun Kang, Haiting Xiao
article en
7 citations

Abstract

Fire has become a major disturbing factor in boreal forests, and giant forest disturbances play a vital role in regulating the climate under global warming. Therefore, it is essential to investigate the spatiotemporal patterns and main drivers of post-fire vegetation recovery for forest ecological research and post-fire recovery management. However, previous studies have focused on the post-fire forest change within the entire fire perimeter, lacking separate analysis and comparison of the burned zone (BZ) and unburned zone (UNBZ). Here, we propose the utilization of Moderate Resolution Imaging Spectroradiometer land cover type and vegetation index data to monitor vegetation dynamics and explore its drivers after the most serious forest fire in the history of P.R. China in the Greater Hinggan Mountains (GHM). The temporal and spatial patterns of vegetation recovery in the BZ/UNBZ in the GHM were analyzed using the Sen & Mann-Kendall method, Hurst index and coefficient of variation, and their driving mechanisms were explored using GeoDetector and Geographically Weighted Regression. The results showed that there were significant differences in the spatial distribution and fluctuation of vegetation between the BZ and UNBZ, and that the BZ exhibited higher productivity and vigor. Vegetation recovery was influenced by different dominant factors and changed over time, in which land surface temperature and precipitation dominated all the time, whereas topographic relief and elevation had a more significant contribution to vegetation recovery in the BZ and UNBZ, respectively. This study provides a scientific basis for the protection and management of vegetation in disturbed forested areas, particularly after fires. • Differences in vegetation between burned/unburned areas are fully ascertained. • Vegetation in burned zones has higher greenness and vigor than unburned zones. • Land surface temperature and precipitation dominate vegetation recovery. • Optimal vegetation growth conditions in burned and unburned zones were determined.

Ecological InformaticsVol. 83
Karlsruhe Institute of Technology (DE), Tianjin University (CN), The University of Melbourne (AU), Kyoto University (JP), Kyoto College of Graduate Studies for Informatics (JP), Tianjin haihe hospital (CN)
National Natural Science Foundation of China, Tianjin University
Climate action
Openalex Percentile: Top 14%
Fire effects on ecosystems
1.98
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