25 Feb 2021
25 Feb 2021
Soil organic carbon distribution for 0–3 m soils at 1 km2 scale of the frozen ground in the Third Pole Regions
- 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
- 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).
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Dong Wang et al.
Status: open (until 01 May 2021)
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RC1: 'Comment on essd-2020-368', Anonymous Referee #1, 17 Mar 2021
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The authors created high spatial resolution data of organic carbon distribution in the Third pole by compiling all the field data and using machine learning methods. The dataset can be very useful to help the scientific community to understand the carbon cycle. I found the paper is well organized. My major concern is that the authors should clearly explained what are the new findings in comparison with several previous reports on the plateau, e.g., Ding et al. 2016, Wang et al. 2020.
Specific comments:
Figure 1 ,2 and 4 are never mentioned in the manuscript, please add reference mark in right place.
Many SOC data were collected in this study, however, the data of China’s national soil survey were not included in this manuscript, why?
Please add the accuracy assessment in manuscript between your dataset and other global or regional SOC datasets, such as: SoilGrids and HWSD.
L 62-64, Permafrost degradation will not only cause serious geological disasters and affect engineering construction in cold areas…” needs citations here.
L.87-90. “Furthermore, the large-scale maps of vegetation and soil types…” needs citations
L.33, L.216, and L.367. what is SOCSs?
L.302 & L.302. Change “in the area of” into “in the areas of”
L.223. Change “Fig. A1” to “Fig. S1” Also in L.323.
L.248. “To test the predictive effects of the two machine learning methods…”, two or three?
L.289-291. “The estimated SOC storage at a depth interval of 0–300 cm in forest, shrub, cropland, grassland, and desert areas was 3.30 Pg, 0.85 Pg, 31.67 Pg, 9.77 Pg, and 0.59 Pg, thus accounting for 7.15%, 1.84%, 68.58%, 21.57%, and 1.28% of the total, respectively”. Mismatching in different vegetation types and SOC storage values.
L.296. “lithosols” Inconsistent font.
L.302. Change “QTP” into “Third pole region”
L.313-314. Hence, most terrestrial SOCS studies have focused on the shallow soil layer within 100 cm …especially that of permafrost zones (Ding et al., 2016; Mu et al., 2015; Wang et al., 2020; Zhao et al., 2018). Wrong citations. The soil depth is deeper down to 100cm in those articles
L.475. Change “In” into “in”.
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AC1: 'Reply on RC1', Tonghua Wu, 15 Apr 2021
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We would like to thank you for your positive and constructive feedback, which will help improve the quality of the manuscript. Responses and comments are provided in the pdf attached.
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RC3: 'Reply on AC1', Anonymous Referee #1, 16 Apr 2021
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Thank you for addressing my concerns and improving the manuscript. I have no further comments.
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RC3: 'Reply on AC1', Anonymous Referee #1, 16 Apr 2021
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AC1: 'Reply on RC1', Tonghua Wu, 15 Apr 2021
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RC2: 'Comment on essd-2020-368', Anonymous Referee #2, 29 Mar 2021
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This is a very useful dataset that can be used and cited in the future. But the manuscript is written as a scientific research paper rather than a data description paper. I suggest the authors to restructure the paper to describe what the data actually contain. It is unclear to me whether the dataset contains the climate data, which are collected from some other source. So these things need to be more clearly described. Please also clarify what are modeled and what are in situ data. The title should also reflect this.
For the same reason, the introduction, results, and discussion sections are unnecessarily long and not very useful in actually understanding what the data are.
Minor comments:
- Please describe how and why the sampling area (soil pits) were selected.
- How did the authors deal with gravel and what was the gravel %?
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AC2: 'Reply on RC2', Tonghua Wu, 15 Apr 2021
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We would like to thank you for your positive and constructive feedback, which will help improve the quality of the manuscript. Responses and comments are provided in the pdf attached.
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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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