Strong and Rapid Postfire Recovery of Vegetation Productivity in Australia

Fires disrupt ecosystems, release carbon, and reduce carbon uptake, which increases atmospheric CO<sub>2</sub> concentration, warms the atmosphere, and fosters more frequent and intense fires. Quantifying postfire recovery is crucial for understanding the adaptability and resilience of ecosystems to fire disturbances. Observations from satellite-derived active fire (~1-km) and Gross Primary Productivity (GPP) products reveal that Australia experiences extensive fires annually, reducing vegetation productivity. Here we analyze the post-fire GPP recovery trajectories of 1.7 × 10<sup>6</sup> fire-affected pixels (or 1.5 × 10<sup>6</sup> km<sup>2</sup>) in Australia between 2011 and 2019, of which 1.3 × 10<sup>6</sup> pixels (1.2 × 10<sup>6</sup> km<sup>2</sup>) experienced a single fire (single-fire pixels), and 0.4 × 10<sup>6</sup> pixels (0.3 × 10<sup>6</sup> km<sup>2</sup>) experienced two or more fires (multiple-fire pixels). We found that Australia's postfire GPP recovery was strong and rapid. 88% of single-fire pixels recovered to 135% of the prefire level in an average of 2.3 years, whereas 86% of multiple-fire pixels recovered to 115% of the prefire level in an average of 1.2 years. NonForest ecosystems (e.g., grasslands, shrublands, and savannas) exhibited a higher postfire recovery magnitude (138% for single-fire pixels and 115% for multiple-fire pixels) compared to Forest (110% for single-fire pixels and 108% for multiple-fire pixels). This rapid and robust postfire GPP recovery is significantly influenced by postfire precipitation, fire (i.e., fire frequency, intensity) and fire severity (damage, impacts; a metric of resistance of terrestrial ecosystems to fire). Specifically, higher fire severity and higher postfire precipitation have a positive impact on postfire recovery, whereas increased fire frequency has a negative impact. Furthermore, fire dynamics have a smaller role in the long-term interannual continental GPP changes than climate or land-use changes, as strong and rapid GPP recovery offsets the short-term fire-induced GPP losses.

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Publication Details

Journal
Global Change Biology
Published
2025-07-01
DOI
https://doi.org/10.1111/gcb.70321
Citations
3
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
3.32

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article

Strong and Rapid Postfire Recovery of Vegetation Productivity in Australia

Yuan Yao, Shenglai Yin, Meng Cheng, Alfredo Huete et al.
3 citations
Global Change Biology
Fire effects on ecosystems
3.32
article

Strong and Rapid Postfire Recovery of Vegetation Productivity in Australia

Yuan Yao, Shenglai Yin, Meng Cheng, Alfredo Huete, Yuanwei Qin, Baihong Pan, Josep G. Canadell, Chenglong Yin, Haoming Xia, Chenchen Zhang, Xiangming Xiao, Li Pan, Philippe Ciais
article en
3 citations

Abstract

Fires disrupt ecosystems, release carbon, and reduce carbon uptake, which increases atmospheric CO<sub>2</sub> concentration, warms the atmosphere, and fosters more frequent and intense fires. Quantifying postfire recovery is crucial for understanding the adaptability and resilience of ecosystems to fire disturbances. Observations from satellite-derived active fire (~1-km) and Gross Primary Productivity (GPP) products reveal that Australia experiences extensive fires annually, reducing vegetation productivity. Here we analyze the post-fire GPP recovery trajectories of 1.7 × 10<sup>6</sup> fire-affected pixels (or 1.5 × 10<sup>6</sup> km<sup>2</sup>) in Australia between 2011 and 2019, of which 1.3 × 10<sup>6</sup> pixels (1.2 × 10<sup>6</sup> km<sup>2</sup>) experienced a single fire (single-fire pixels), and 0.4 × 10<sup>6</sup> pixels (0.3 × 10<sup>6</sup> km<sup>2</sup>) experienced two or more fires (multiple-fire pixels). We found that Australia's postfire GPP recovery was strong and rapid. 88% of single-fire pixels recovered to 135% of the prefire level in an average of 2.3 years, whereas 86% of multiple-fire pixels recovered to 115% of the prefire level in an average of 1.2 years. NonForest ecosystems (e.g., grasslands, shrublands, and savannas) exhibited a higher postfire recovery magnitude (138% for single-fire pixels and 115% for multiple-fire pixels) compared to Forest (110% for single-fire pixels and 108% for multiple-fire pixels). This rapid and robust postfire GPP recovery is significantly influenced by postfire precipitation, fire (i.e., fire frequency, intensity) and fire severity (damage, impacts; a metric of resistance of terrestrial ecosystems to fire). Specifically, higher fire severity and higher postfire precipitation have a positive impact on postfire recovery, whereas increased fire frequency has a negative impact. Furthermore, fire dynamics have a smaller role in the long-term interannual continental GPP changes than climate or land-use changes, as strong and rapid GPP recovery offsets the short-term fire-induced GPP losses.

Global Change BiologyVol. 31(7)
University of Technology Sydney (AU), Centre National de la Recherche Scientifique (FR), Hohai University (CN), Henan University (CN), Université de Versailles Saint-Quentin-en-Yvelines (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Waters (China) (CN), CSIRO Scientific Computing (AU), Laboratoire des Sciences du Climat et de l'Environnement (FR), CEA Paris-Saclay (FR), ACT Government (AU), East China Normal University (CN), University of Oklahoma (US)
National Science Foundation, National Aeronautics and Space Administration, Nuclear Safety and Security Commission
Openalex Percentile: Top 8%
Fire effects on ecosystems
3.32
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