China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022
<p>During the past decades, wildfires have undergone rapid changes while both the extent of fire activities and the resulting greenhouse gas (GHG) emissions from wildfires in China have remained inadequately quantified. We established a wildfire emission model to generate the China Wildfire Em...
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Copernicus Publications
2025-05-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/18/2509/2025/gmd-18-2509-2025.pdf |
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| author | Z. Lin L. Huang H. Tian H. Tian A. Chen X. Wang |
| author_facet | Z. Lin L. Huang H. Tian H. Tian A. Chen X. Wang |
| author_sort | Z. Lin |
| collection | DOAJ |
| description | <p>During the past decades, wildfires have undergone rapid changes while both the extent of fire activities and the resulting greenhouse gas (GHG) emissions from wildfires in China have remained inadequately quantified. We established a wildfire emission model to generate the China Wildfire Emission Dataset (ChinaWED), which can be used to explore the recent dynamics at a national scale. This dataset is constructed at a monthly and kilometer scale under a consistent and quantifiable calculation framework, providing average annual estimates of wildfire-induced GHG emissions of 78.13 <span class="inline-formula">±</span> 22.46 Tg CO<span class="inline-formula"><sub>2</sub></span>, 279.47 <span class="inline-formula">±</span> 82.01 Gg CH<span class="inline-formula"><sub>4</sub></span>, and 6.26 <span class="inline-formula">±</span> 1.67 Gg N<span class="inline-formula"><sub>2</sub></span>O (Tg denotes teragrams and Gg gigagrams) for the past decade. We observed significant decreases in both wildfire occurrences and emissions within forests and grasslands. This trend, however, is counteracted by variations in agricultural fires, which constitute the primary type of fire, accounting for at least half of the national total fire emissions. The seasonal cycle of wildfire GHG emissions shows an evident apex that occurs during the transition from mid-spring to early summer. At the regional scale, northeast China, southwest China, and east China emerge as hotspots of wildfire-induced emissions. Our study offers new insights into China's wildfire dynamics and provides a detailed regional model for wildfire greenhouse gas emissions over China.</p> |
| format | Article |
| id | doaj-art-3bcb5e7c0be9427dbb36a3e0ef101a94 |
| institution | OA Journals |
| issn | 1991-959X 1991-9603 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj-art-3bcb5e7c0be9427dbb36a3e0ef101a942025-08-20T02:14:26ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032025-05-01182509252010.5194/gmd-18-2509-2025China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022Z. Lin0L. Huang1H. Tian2H. Tian3A. Chen4X. Wang5Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, ChinaInstitute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, ChinaCenter for Earth System Science and Global Sustainability, Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, MA, USADepartment of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA, USADepartment of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USAInstitute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China<p>During the past decades, wildfires have undergone rapid changes while both the extent of fire activities and the resulting greenhouse gas (GHG) emissions from wildfires in China have remained inadequately quantified. We established a wildfire emission model to generate the China Wildfire Emission Dataset (ChinaWED), which can be used to explore the recent dynamics at a national scale. This dataset is constructed at a monthly and kilometer scale under a consistent and quantifiable calculation framework, providing average annual estimates of wildfire-induced GHG emissions of 78.13 <span class="inline-formula">±</span> 22.46 Tg CO<span class="inline-formula"><sub>2</sub></span>, 279.47 <span class="inline-formula">±</span> 82.01 Gg CH<span class="inline-formula"><sub>4</sub></span>, and 6.26 <span class="inline-formula">±</span> 1.67 Gg N<span class="inline-formula"><sub>2</sub></span>O (Tg denotes teragrams and Gg gigagrams) for the past decade. We observed significant decreases in both wildfire occurrences and emissions within forests and grasslands. This trend, however, is counteracted by variations in agricultural fires, which constitute the primary type of fire, accounting for at least half of the national total fire emissions. The seasonal cycle of wildfire GHG emissions shows an evident apex that occurs during the transition from mid-spring to early summer. At the regional scale, northeast China, southwest China, and east China emerge as hotspots of wildfire-induced emissions. Our study offers new insights into China's wildfire dynamics and provides a detailed regional model for wildfire greenhouse gas emissions over China.</p>https://gmd.copernicus.org/articles/18/2509/2025/gmd-18-2509-2025.pdf |
| spellingShingle | Z. Lin L. Huang H. Tian H. Tian A. Chen X. Wang China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022 Geoscientific Model Development |
| title | China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022 |
| title_full | China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022 |
| title_fullStr | China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022 |
| title_full_unstemmed | China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022 |
| title_short | China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022 |
| title_sort | china wildfire emission dataset chinawed v1 for the period 2012 2022 |
| url | https://gmd.copernicus.org/articles/18/2509/2025/gmd-18-2509-2025.pdf |
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