Preprints
https://doi.org/10.5194/essd-2020-368
https://doi.org/10.5194/essd-2020-368

  25 Feb 2021

25 Feb 2021

Review status: this preprint is currently under review for the journal ESSD.

Soil organic carbon distribution for 0–3 m soils at 1 km2 scale of the frozen ground in the Third Pole Regions

Dong Wang1,2, Tonghua Wu1,3, Xiaodong Wu1, Xianhua Wei4, Cuicui Mu5, Ren Li1, Guojie Hu1, Defu Zou1, Xiaofan Zhu1, Jie Chen1, Junmin Hao6, Jie Ni1,2, Xiangfei Li1,2, Wensi Ma1,2, Amin Wen1,2, Chenpeng Shang1,2, Yune La1,2, and Xin Ma1,2 Dong Wang et al.
  • 1Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
  • 2University of Chinese Academy Sciences, Beijing, 100049, China
  • 3Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China
  • 4College of geography and environmental science,Northwest Normal University,Lanzhou 730070,China
  • 5Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
  • 6School of civil engineering, Lanzhou University of Technology, Lanzhou, 730050, China

Abstract. Soil organic carbon (SOC) is very important in the vulnerable ecological environment of the Third Pole; however, data regarding the spatial distribution of SOC are still scarce and uncertain. Based on multiple environmental variables and soil profile data from 458 pits (depth of 0–1 m) and 114 cores (depth of 0–3 m), this study uses a machine-learning approach to evaluate the SOC storage and spatial distribution at a depth interval of 0–3 m in the frozen ground area of the Third Pole region. Our results showed that SOC stocks (SOCS) exhibited a decreasing spatial pattern from the southeast towards the northwest. The estimated SOC storage in the upper 3 m of the soil profile was 46.18 Pg for an area of 3.27 × 106 km2, which included 21.69 Pg and 24.49 Pg for areas of permafrost and seasonally frozen ground, respectively. The mean SOCS under different vegetation types showed a decreasing pattern as follows: forest > shrub > cropland > grassland > desert. Among all soil orders, histosols and gleisoil had the largest SOCSs, while gypsisols and salt flats had the smallest SOCS. Our results provide information on the storage and patterns of SOCS at a 1 km2 scale for areas of frozen ground in the Third Pole region, thus providing a scientific basis for future studies pertaining to Earth system models. The dataset is open-access and available at https://doi.org/10.5281/zenodo.4293454 (Wang et al., 2020).

Dong Wang et al.

Status: open (until 01 May 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2020-368', Anonymous Referee #1, 17 Mar 2021 reply
    • AC1: 'Reply on RC1', Tonghua Wu, 15 Apr 2021 reply
      • RC3: 'Reply on AC1', Anonymous Referee #1, 16 Apr 2021 reply
  • RC2: 'Comment on essd-2020-368', Anonymous Referee #2, 29 Mar 2021 reply
    • AC2: 'Reply on RC2', Tonghua Wu, 15 Apr 2021 reply

Dong Wang et al.

Data sets

Soil organic carbon distribution for 0-3 m soils at 1 km2 scale of the frozen ground in the Third Pole Regions Dong Wang; Tonghua Wu; Xiaodong Wu https://doi.org/10.5281/zenodo.4293454

Dong Wang et al.

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Short summary
The Third Poles regions are important components in the global permafrost, and the detailed spatial soil organic carbon data are the scientific basis for environmental protection as well as the development of Earth System Models. Based on multiple environmental variables and soil profile data, this study use machine-learning approaches to evaluate the SOC storage and spatial distribution at a depth interval of 0–3 m in the frozen ground area of the Third Pole region.