Post-fire spectral recovery and driving factors across the boreal and temperate forests

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'.

Authors

Institutions

Publication Details

Journal
Philosophical Transactions of the Royal Society B Biological Sciences
Published
2025-04-01
DOI
https://doi.org/10.1098/rstb.2023.0453
Citations
4
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
4.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Post-fire spectral recovery and driving factors across the boreal and temperate forests

Wenru Xu, Marie Johnson, Jiajia Su, Wenjuan Wang et al.
4 citations
Philosophical Transactions of the Royal Society B Biological Sciences
Fire effects on ecosystems
4.42
article

Post-fire spectral recovery and driving factors across the boreal and temperate forests

Wenru Xu, Marie Johnson, Jiajia Su, Wenjuan Wang, Wenhua Guo, Qiushuang Lv, Zhihua Liu, Li Kai Li
article en
4 citations

Abstract

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'.

Philosophical Transactions of the Royal Society B Biological SciencesVol. 380(1924)
Chinese Academy of Sciences (CN), Beijing Normal University (CN), Northeast Institute of Geography and Agroecology (CN), Institute of Applied Ecology (CN), University of Chinese Academy of Sciences (CN), University of Montana (US)
Climate action
Openalex Percentile: Top 6%
Fire effects on ecosystems
4.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.