Estimation of Short-Term Vegetation Recovery in Post-Fire Siberian Dwarf Pine (Pinus pumila) Shrublands Based on Sentinel-2 Data

被引：1

作者：

Wang, Shuo ^{[1
,2
]}

Zheng, Xin ^{[1
,2
]}

Du, Yang ^{[1
,2
]}

Zhang, Guoqiang ^{[3
]}

Wang, Qianxue ^{[1
,2
]}

Han, Daxiao ^{[1
,2
]}

Zhang, Jili ^{[1
,2
]}

机构：

[1] Natl Forestry & Grassland Adm, Harbin Res Inst Forestry Machinery, Harbin 150086, Peoples R China

[2] Chinese Acad Forestry CAF, Res Ctr Cold Temperate Forestry, Harbin 150086, Peoples R China

[3] Northeast Forestry Univ, Coll Forestry, Harbin 150040, Peoples R China

来源：

FIRE-SWITZERLAND | 2025年 / 8卷 / 02期

关键词：

<italic>Pinus pumila</italic>; wildfire; vegetation recovery; Sentinel-2; LEAF-AREA INDEX; BURN SEVERITY; TIME-SERIES; FIRE SEVERITY; FOREST REGION; LANDSAT DATA; REGENERATION; NDVI; PERFORMANCE; DECADES;

D O I：

10.3390/fire8020047

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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.

引用

页数：23

共 72 条

[41] Characterizing Post-Fire Forest Structure Recovery in the Great Xing'an Mountain Using GEDI and Time Series Landsat Data [J].

Lin, Simei ;

Zhang, Huiqing ;

Liu, Shangbo ;

Gao, Ge ;

Li, Linyuan ;

Huang, Huaguo .

REMOTE SENSING, 2023, 15 (12)

[42]

Lopez Garcia M. J., 1991, Geocarto International, V6, P31

[43]

LOVELAND TR, 1991, PHOTOGRAMM ENG REM S, V57, P1453

[44] Vegetation recovery after fire in mountain grasslands of Argentina [J].

Loydi, Alejandro ;

Funk, Flavia A. ;

Garcia, Andres .

JOURNAL OF MOUNTAIN SCIENCE, 2020, 17 (02) :373-383

[45] Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm [J].

Ma, Wenyuan ;

Feng, Zhongke ;

Cheng, Zhuxin ;

Chen, Shilin ;

Wang, Fengge .

FORESTS, 2020, 11 (05)

[46] CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction [J].

Marjani, Mohammad ;

Mahdianpari, Masoud ;

Mohammadimanesh, Fariba .

REMOTE SENSING, 2024, 16 (08)

[47] Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to topographic effects: A case study in high-density cypress forest [J].

Matsushita, Bunkei ;

Yang, Wei ;

Chen, Jin ;

Onda, Yuyichi ;

Qiu, Guoyu .

SENSORS, 2007, 7 (11) :2636-2651

[48] Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California [J].

Meng, Ran ;

Dennison, Philip E. ;

Huang, Chengquan ;

Moritz, Max A. ;

D'Antonio, Carla .

REMOTE SENSING OF ENVIRONMENT, 2015, 171 :311-325

[49] Testing a MODIS Global Disturbance Index across North America [J].

Mildrexler, David J. ;

Zhao, Maosheng ;

Running, Steven W. .

REMOTE SENSING OF ENVIRONMENT, 2009, 113 (10) :2103-2117

[50] Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data [J].

Miller, JD ;

Yool, SR .

REMOTE SENSING OF ENVIRONMENT, 2002, 82 (2-3) :481-496

← 1 2 3 4 5 6 7 8 →