Author
Listed:
- Jinzhi Ding
(Chinese Academy of Sciences)
- Tao Wang
(Chinese Academy of Sciences
Chinese Academy of Sciences
Lanzhou University)
- Shilong Piao
(Chinese Academy of Sciences
Chinese Academy of Sciences
Peking University
University of Chinese Academy of Sciences)
- Pete Smith
(University of Aberdeen)
- Ganlin Zhang
(Chinese Academy of Sciences)
- Zhengjie Yan
(Lanzhou University)
- Shuai Ren
(Peking University)
- Dan Liu
(Chinese Academy of Sciences)
- Shiping Wang
(Chinese Academy of Sciences)
- Shengyun Chen
(State Key Laboratory of Cryosphere Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences)
- Fuqiang Dai
(Chongqing Technology and Business University)
- Jinsheng He
(Peking University)
- Yingnian Li
(Chinese Academy of Sciences)
- Yongwen Liu
(Chinese Academy of Sciences
Chinese Academy of Sciences)
- Jiafu Mao
(Oak Ridge National Laboratory)
- Altaf Arain
(McMaster University)
- Hanqin Tian
(Auburn University)
- Xiaoying Shi
(Oak Ridge National Laboratory)
- Yuanhe Yang
(Chinese Academy of Sciences)
- Ning Zeng
(University of Maryland)
- Lin Zhao
(Chinese Academy of Sciences)
Abstract
Tibetan permafrost largely formed during the late Pleistocene glacial period and shrank in the Holocene Thermal Maximum period. Quantifying the impacts of paleoclimatic extremes on soil carbon stock can shed light on the vulnerability of permafrost carbon in the future. Here, we synthesize data from 1114 sites across the Tibetan permafrost region to report that paleoclimate is more important than modern climate in shaping current permafrost carbon distribution, and its importance increases with soil depth, mainly through forming the soilʼs physiochemical properties. We derive a new estimate of modern soil carbon stock to 3 m depth by including the paleoclimate effects, and find that the stock ( $${\mathrm{36}}{\mathrm{.6}}_{{\mathrm{ - 2}}{\mathrm{.4}}}^{{\mathrm{ + 2}}.3}$$ 36 .6 -2 .4 +2 . 3 PgC) is triple that predicted by ecosystem models (11.5 ± 4.2 s.e.m PgC), which use pre-industrial climate to initialize the soil carbon pool. The discrepancy highlights the urgent need to incorporate paleoclimate information into model initialization for simulating permafrost soil carbon stocks.
Suggested Citation
Jinzhi Ding & Tao Wang & Shilong Piao & Pete Smith & Ganlin Zhang & Zhengjie Yan & Shuai Ren & Dan Liu & Shiping Wang & Shengyun Chen & Fuqiang Dai & Jinsheng He & Yingnian Li & Yongwen Liu & Jiafu Ma, 2019.
"The paleoclimatic footprint in the soil carbon stock of the Tibetan permafrost region,"
Nature Communications, Nature, vol. 10(1), pages 1-9, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12214-5
DOI: 10.1038/s41467-019-12214-5
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12214-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.