Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3453-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-13-3453-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 1 km resolution soil organic carbon dataset for frozen ground in the Third Pole
Dong Wang
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Cryosphere 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
Southern Marine Science and Engineering Guangdong Laboratory,
Guangzhou 511458, China
Cryosphere 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
School of Geographical Sciences, Nanjing University of Information
Science & Technology, Nanjing 210000, China
Cuicui Mu
Key Laboratory of Western China's Environmental Systems (Ministry
of Education), College of Earth and Environmental Sciences, Lanzhou
University, Lanzhou 730000, China
Ren Li
Cryosphere 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
Xianhua Wei
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
College of Geography and Environmental Science, Northwest Normal
University, Lanzhou 730070, China
Guojie Hu
Cryosphere 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
Cryosphere 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
Xiaofan Zhu
Cryosphere 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
Cryosphere 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
Junmin Hao
School of Civil Engineering, Lanzhou University of Technology,
Lanzhou 730050, China
Jie Ni
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Xiangfei Li
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Wensi Ma
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Amin Wen
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Chengpeng Shang
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Yune La
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Xin Ma
Cryosphere 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
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Xiaodong Wu
Cryosphere 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
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, and Xiaodong Wu https://doi.org/10.5281/zenodo.4293454
Short summary
The Third Pole 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.
The Third Pole regions are important components in the global permafrost, and the detailed...
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