Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades
Abstract
Fire is a major type of disturbance that has important influences on ecosystem dynamics and carbon cycles. Yet our understanding of ecosystem fires and their carbon cycle consequences is still limited, largely due to the difficulty of large-scale fire monitoring and the complex interactions between fire, vegetation, climate, and anthropogenic factors. Here, using data from satellite-derived fire observations and ecosystem model simulations, we performed a comprehensive investigation of the spatial and temporal dynamics of China's ecosystem fire disturbances and their carbon emissions over the past two decades (1997–2016). Satellite-derived results showed that on average about 3.47 - 4.53 x 104 km2 of the land was burned annually during the past two decades, among which annual burned forest area was about 0.81 - 1.25 × 104 km2, accounting for 0.33-0.51% of the forest area in China. Biomass burning emitted about 23.02 TgC per year. Compared to satellite products, simulations from the Energy Exascale Earth System Land Model (ELM) strongly overestimated China's burned area and fire-induced carbon emissions. Annual burned area and fire-induced carbon emissions were high for boreal forest in Northeast China's Daxing'anling region and subtropical dry forest in South Yunnan, as revealed by both the satellite product and the modelmore »
- Authors:
-
[3];
[3];
[3];
- Colorado State Univ., Fort Collins, CO (United States)
- Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.
- Northwest Agriculture & Forestry Univ. Yangling, Shanxi (China)
- Colorado State Univ., Fort Collins, CO (United States); Central China Normal Univ., Wuhan (China)
- Peking Univ., Beijing (China). Sino-French Inst. for Earth System Science
- Univ. of Tennessee, Knoxville, TN (United States)
- Karlsruhe Inst. of Technology (KIT) (Germany)
- UMR CEA-CNRS, Gif-sur-Yvette (France). Lab. for Sciences of Climate and Environment (LSCE)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); Princeton Environmental Institute; European Space Agency; National Science Foundation (NSF)
- OSTI Identifier:
- 1606632
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Geography and Sustainability (Online)
- Additional Journal Information:
- Journal Name: Geography and Sustainability (Online); Journal Volume: 1; Journal Issue: 1; Journal ID: ISSN 2666-6839
- Publisher:
- Elsevier; Beijing Normal University
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Fire emission; Burned area; Fire models; China
Citation Formats
Chen, Anping, Tang, Rongyun, Mao, Jiafu, Shi, Xiaoying, Ricciuto, Daniel M., Yue, Chao, Li, Xiran, Gao, Mengdi, Jin, Mingzhou, Rabin, Sam, Ciais, Phillippe, and Piao, Shilong. Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades. United States: N. p., 2020.
Web. doi:10.1016/j.geosus.2020.03.002.
Chen, Anping, Tang, Rongyun, Mao, Jiafu, Shi, Xiaoying, Ricciuto, Daniel M., Yue, Chao, Li, Xiran, Gao, Mengdi, Jin, Mingzhou, Rabin, Sam, Ciais, Phillippe, & Piao, Shilong. Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades. United States. https://doi.org/10.1016/j.geosus.2020.03.002
Chen, Anping, Tang, Rongyun, Mao, Jiafu, Shi, Xiaoying, Ricciuto, Daniel M., Yue, Chao, Li, Xiran, Gao, Mengdi, Jin, Mingzhou, Rabin, Sam, Ciais, Phillippe, and Piao, Shilong. Mon .
"Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades". United States. https://doi.org/10.1016/j.geosus.2020.03.002. https://www.osti.gov/servlets/purl/1606632.
@article{osti_1606632,
title = {Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades},
author = {Chen, Anping and Tang, Rongyun and Mao, Jiafu and Shi, Xiaoying and Ricciuto, Daniel M. and Yue, Chao and Li, Xiran and Gao, Mengdi and Jin, Mingzhou and Rabin, Sam and Ciais, Phillippe and Piao, Shilong},
abstractNote = {Fire is a major type of disturbance that has important influences on ecosystem dynamics and carbon cycles. Yet our understanding of ecosystem fires and their carbon cycle consequences is still limited, largely due to the difficulty of large-scale fire monitoring and the complex interactions between fire, vegetation, climate, and anthropogenic factors. Here, using data from satellite-derived fire observations and ecosystem model simulations, we performed a comprehensive investigation of the spatial and temporal dynamics of China's ecosystem fire disturbances and their carbon emissions over the past two decades (1997–2016). Satellite-derived results showed that on average about 3.47 - 4.53 x 104 km2 of the land was burned annually during the past two decades, among which annual burned forest area was about 0.81 - 1.25 × 104 km2, accounting for 0.33-0.51% of the forest area in China. Biomass burning emitted about 23.02 TgC per year. Compared to satellite products, simulations from the Energy Exascale Earth System Land Model (ELM) strongly overestimated China's burned area and fire-induced carbon emissions. Annual burned area and fire-induced carbon emissions were high for boreal forest in Northeast China's Daxing'anling region and subtropical dry forest in South Yunnan, as revealed by both the satellite product and the model simulations. Our results suggest that climate and anthropogenic factors play critical roles in controlling the spatial and seasonal distribution of China's ecosystem fire disturbances. Our findings highlight the importance of multiple complementary approaches in assessing ecosystem fire disturbance and its carbon consequences. Further studies are required to improve the methods of observing and modelling China's ecosystem fire disturbances, which will provide valuable information for fire management and ecosystem sustainability in an era when both human activities and the natural environment are rapidly changing.},
doi = {10.1016/j.geosus.2020.03.002},
journal = {Geography and Sustainability (Online)},
number = 1,
volume = 1,
place = {United States},
year = {Mon Mar 16 00:00:00 EDT 2020},
month = {Mon Mar 16 00:00:00 EDT 2020}
}
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Figure 1: (a) Annual burned area estimated from different approaches; (b) annual ecosystem fire induced carbon emissions.
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