| Autor: |
Daorui Han, Zhongmin Hu, Xuhui Wang, Tao Wang, Anping Chen, Qihao Weng, Minqi Liang, Xiang Zeng, Ruochen Cao, Kai Di, Dengnan Luo, Guangru Zhang, Yuanhe Yang, Honglin He, Jiangwen Fan, Guirui Yu |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Environmental Research Letters, Vol 17, Iss 7, p 074016 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1748-9326 |
| DOI: |
10.1088/1748-9326/ac78f5 |
| Popis: |
The Qinghai-Tibetan Plateau (TP) accumulated a large amount of organic carbon, while its size and response to environmental factors for the whole area remain uncertain. Here, we synthesized a dataset to date with the largest data volume and broadest geographic coverage over the TP, composing of 7196 observations from multiple field campaigns since the 1980s, and provided a comprehensive assessment of the size and spatial distribution of carbon pools for both plant and soils on the TP using machine learning algorithms. The estimated soil organic carbon (SOC) storage to 1 m depth was ${\text{32}}{\text{.01}}_{{\text{19}}{\text{.69}}}^{{\text{47}}{\text{.9}}}$ Pg ( ${\text{11}}{\text{.72}}_{{\text{7}}{\text{.2}}}^{{\text{17}}{\text{.53}}}$ kg m ^−2 on average), accounting for approximately ${\text{37}}{\text{.2}}_{{\text{22}}{\text{.9}}}^{{\text{55}}{\text{.6}}}$ % of China’s SOC stock on its |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
