期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 828, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2022.154464
关键词
Soil organic carbon; Machine learning; Permafrost; Northern Hemisphere
资金
- National Key Research and Development Program of China [2020YFA0608501, 2019YFA0607003]
- National Natural Science Foundation of China [41941015, 32061143032, 41961144021, 41931180]
- Swedish Research Council VR [2020-05338]
- West Light Foundation of the Chinese Academy of Sciences
- Swedish Research Council [2020-05338] Funding Source: Swedish Research Council
This study provides estimates of soil organic carbon (SOC) distribution and magnitude in the Northern Hemisphere permafrost regions using machine-learning methods. The results show that the SOC storage for the top 3 m soil is 1079 +/- 174 Pg C, with temperature and NDVI as the main controlling factors for the spatial distribution of SOC stocks.
Large stocks of soil organic carbon (SOC) accumulated in the Northern Hemisphere permafrost regions may be vulnerable to climatic warming, but global estimates of SOC distribution and magnitude in permafrost regions still have large uncertainties. Based on multiple high-resolution environmental variables and a compiled soil sample dataset (>3000 soil profiles), we used machine-learning methods to estimate the size and spatial distribution of SOC for the top 3 m soils in the Northern Hemisphere permafrost regions. We also identified key environmental predictors of SOC. The results showed that the SOC storage for the top 3 m soil was 1079 +/- 174 Pg C across the Northern Hemisphere permafrost regions (20.8 x 10(6) km(2)), including 1057 +/- 167 Pg C in the northern permafrost regions and 22 +/- 7 Pg C in the Third Pole permafrost regions. The mean annual air temperature and NDVI are the main controlling factors for the spatial distribution of SOC stocks in the northern and the Third Pole permafrost regions. Our estimations were more accurate than the existing global SOC stock maps. The results improve our understanding of the regional and global permafrost carbon cycle and their feedback to the climate system.
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