Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data
The frequency of wildfires ignited by lightning is increasing due to global climate change. Since the forest ecological recovery is influenced by numerous factors, the process of post-fire vegetation recovery in Siberian dwarf pine shrublands remains unclear and demands in-depth study. This paper ex...
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MDPI AG
2025-01-01
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| Series: | Fire |
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| Online Access: | https://www.mdpi.com/2571-6255/8/2/47 |
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| author | Shuo Wang Xin Zheng Yang Du Guoqiang Zhang Qianxue Wang Daxiao Han Jili Zhang |
| author_facet | Shuo Wang Xin Zheng Yang Du Guoqiang Zhang Qianxue Wang Daxiao Han Jili Zhang |
| author_sort | Shuo Wang |
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| description | The frequency of wildfires ignited by lightning is increasing due to global climate change. Since the forest ecological recovery is influenced by numerous factors, the process of post-fire vegetation recovery in Siberian dwarf pine shrublands remains unclear and demands in-depth study. This paper explored the short-term recovery process of vegetation after two lightning-ignited fires in the Great Xing’an Mountains that occurred in 2017 and 2020, respectively. The study was aimed at presenting a monitoring approach for estimating the post-fire vegetation state and assessing the influence of various driving factors on vegetation recovery. Spectral indices were computed to evaluate forest vegetation recovery dynamics. The differences in vegetation recovery under various fire severity and topography conditions were also examined. Correlation analysis was employed to assess the influence of moisture content on the recovery of fire sites. The results show that fire severity, topographic features, and moisture content significantly impacted the rate of vegetation recovery. Specifically, regeneration takes place more rapidly on warm, high-altitude, and gentle slopes within highly and moderately burned areas. Additionally, areas marked by high moisture content demonstrate rapid recovery. Our study enriches the research cases of global wildfires and vegetation recovery and provides a scientific basis for forest management and the restoration of post-fire ecosystems. |
| format | Article |
| id | doaj-art-5336bfafb0a34441b090d92263f59f4d |
| institution | DOAJ |
| issn | 2571-6255 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Fire |
| spelling | doaj-art-5336bfafb0a34441b090d92263f59f4d2025-08-20T02:44:38ZengMDPI AGFire2571-62552025-01-01824710.3390/fire8020047Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 DataShuo Wang0Xin Zheng1Yang Du2Guoqiang Zhang3Qianxue Wang4Daxiao Han5Jili Zhang6Harbin Research Institute of Forestry Machinery, National Forestry and Grassland Administration, Harbin 150086, ChinaHarbin Research Institute of Forestry Machinery, National Forestry and Grassland Administration, Harbin 150086, ChinaHarbin Research Institute of Forestry Machinery, National Forestry and Grassland Administration, Harbin 150086, ChinaCollege of Forestry, Northeast Forestry University, Harbin 150040, ChinaHarbin Research Institute of Forestry Machinery, National Forestry and Grassland Administration, Harbin 150086, ChinaHarbin Research Institute of Forestry Machinery, National Forestry and Grassland Administration, Harbin 150086, ChinaHarbin Research Institute of Forestry Machinery, National Forestry and Grassland Administration, Harbin 150086, ChinaThe frequency of wildfires ignited by lightning is increasing due to global climate change. Since the forest ecological recovery is influenced by numerous factors, the process of post-fire vegetation recovery in Siberian dwarf pine shrublands remains unclear and demands in-depth study. This paper explored the short-term recovery process of vegetation after two lightning-ignited fires in the Great Xing’an Mountains that occurred in 2017 and 2020, respectively. The study was aimed at presenting a monitoring approach for estimating the post-fire vegetation state and assessing the influence of various driving factors on vegetation recovery. Spectral indices were computed to evaluate forest vegetation recovery dynamics. The differences in vegetation recovery under various fire severity and topography conditions were also examined. Correlation analysis was employed to assess the influence of moisture content on the recovery of fire sites. The results show that fire severity, topographic features, and moisture content significantly impacted the rate of vegetation recovery. Specifically, regeneration takes place more rapidly on warm, high-altitude, and gentle slopes within highly and moderately burned areas. Additionally, areas marked by high moisture content demonstrate rapid recovery. Our study enriches the research cases of global wildfires and vegetation recovery and provides a scientific basis for forest management and the restoration of post-fire ecosystems.https://www.mdpi.com/2571-6255/8/2/47<i>Pinus pumila</i>wildfirevegetation recoverySentinel-2 |
| spellingShingle | Shuo Wang Xin Zheng Yang Du Guoqiang Zhang Qianxue Wang Daxiao Han Jili Zhang Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data Fire <i>Pinus pumila</i> wildfire vegetation recovery Sentinel-2 |
| title | Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data |
| title_full | Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data |
| title_fullStr | Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data |
| title_full_unstemmed | Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data |
| title_short | Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (<i>Pinus pumila</i>) Shrublands Based on Sentinel-2 Data |
| title_sort | estimation of short term vegetation recovery in post fire siberian dwarf pine i pinus pumila i shrublands based on sentinel 2 data |
| topic | <i>Pinus pumila</i> wildfire vegetation recovery Sentinel-2 |
| url | https://www.mdpi.com/2571-6255/8/2/47 |
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