Global carbon emission accounting: national-level assessment of wildfire CO2 emission – a case study of China,Atmospheric Chemistry and Physics

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Global carbon emission accounting: national-level assessment of wildfire CO2 emission – a case study of China
Atmospheric Chemistry and Physics ( IF 5.2 ) Pub Date : 2024-06-27 , DOI: 10.5194/egusphere-2024-1684
Xuehong Gong , Zeyu Liu , Jie Tian , Qiyuan Wang , Guohui Li , Zhisheng An , Yongming Han

Abstract. Wildfires release large amounts of greenhouse gases into the atmosphere, exacerbating climate change and causing severe impacts on air quality and human health. Including carbon dioxide (CO₂) emissions from wildfires in international assessments and national emission reduction responsibilities is crucial for global carbon reduction and environmental governance. In this study, based on a bottom-up approach and using satellite data, combined with emission factor and aboveground biomass data for different vegetation cover types (forest, shrub, grassland, cropland), the dynamic changes in CO₂ emissions from wildfires in China from 2001 to 2022 were analyzed. The results showed that between 2001 and 2022, the total CO₂ emissions from wildfires in China were 693.7 Tg (1 Tg = 10¹² g), with an annual average of 31.5 Tg. The CO₂ emissions from cropland and forest fires were relatively high, accounting for 46 % and 32 %, respectively. The yearly variation in CO₂ emissions from forest and shrub fires showed a significant downward trend, while emissions from grassland fires remained relatively stable. In contrast, the CO₂ emissions from cropland fires showed a clear upward trend. High CO₂ emissions from wildfires were mainly concentrated in the eastern regions of Heilongjiang and Inner Mongolia Provinces in China, accounting for 44 % of the total annual emissions. Various factors such as daily cumulative sunshine hours (Spearman’s correlation coefficient, forest: -0.41, shrub:0.25; p < 0.001) and the normalized difference vegetation index (NDVI; Spearman’s correlation coefficient, forest: -0.35, shrub: 0.37; p < 0.001), influenced CO₂ emissions from forest and shrub fires. Moreover, temperature (Spearman’s correlation coefficient, -0.45, p < 0.001) primarily affected CO₂ emissions from grassland fires. The CO₂ emissions from cropland fires negatively correlated with the gross domestic product (GDP) (Spearman’s correlation coefficient, -0.52, p < 0.001) and population density (Spearman’s correlation coefficient, -0.51, p < 0.001). China's policy management has been crucial in reducing CO₂ emissions from wildfires. By accurately assessing CO₂ emissions from wildfires, governments worldwide can better set CO₂ reduction targets, take corresponding measures, and contribute to the global response to climate change.

更新日期：2024-06-27

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