Li Li Kai, Liu Zhihua, Xu Wenru, Wang Wenjuan, Su Jiajia, Lv Qiushuang, Guo Wenhua, Johnson Marie
CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, People's Republic of China.
University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
Philos Trans R Soc Lond B Biol Sci. 2025 Apr;380(1924):20230453. doi: 10.1098/rstb.2023.0453. Epub 2025 Apr 17.
Increasingly frequent and severe forest fires, exacerbated by warmer and drier conditions, significantly affect forest ecosystems. Understanding the dynamics of post-fire forest recovery is crucial for assessing forest resilience and guiding forest management. However, most post-fire recovery studies focus primarily on spatial variation, while recovery changes over time are relatively less studied. In this study, we examined the patterns, trends and drivers of spectral recovery from forest fires that burned between 2002 and 2018 in boreal and temperate forests. We used relative recovery indicators (RRIs) developed from three spectral indices-the normalized burn ratio, normalized difference vegetation index and near-infrared reflectance of vegetation-to capture post-fire spectral recovery. Our results showed that post-fire spectral recovery rates in temperate forests are faster than those in boreal forests, with quicker recovery in regions with higher percentages of broad-leaved species, less severe fires, higher temperature and precipitation. The decline in spectral forest recovery rates of boreal forests indicates that boreal forest post-fire recovery is becoming increasingly challenging. Our work provides valuable insights into forest management and conservation in the face of increasing fire frequency and intensity.This article is part of the theme issue 'Novel fire regimes under climate changes and human influences: impacts, ecosystem responses and feedbacks'.
气候变暖和干燥加剧了森林火灾的频率和严重程度,对森林生态系统产生了重大影响。了解火灾后森林恢复的动态对于评估森林恢复力和指导森林管理至关重要。然而,大多数火灾后恢复研究主要集中在空间变化上,而对随时间的恢复变化研究相对较少。在本研究中,我们研究了2002年至2018年期间在北方和温带森林发生的森林火灾光谱恢复的模式、趋势和驱动因素。我们使用从三个光谱指数——归一化燃烧比、归一化植被指数和植被近红外反射率——开发的相对恢复指标(RRI)来捕捉火灾后的光谱恢复。我们的结果表明,温带森林的火灾后光谱恢复率比北方森林快,在阔叶树种比例较高、火灾不太严重、温度和降水量较高的地区恢复更快。北方森林光谱恢复率的下降表明北方森林火灾后恢复正变得越来越具有挑战性。我们的工作为面对火灾频率和强度增加的森林管理和保护提供了有价值的见解。本文是主题为“气候变化和人类影响下的新型火灾格局:影响、生态系统响应和反馈”的一部分。