Evidence map›Paper›PMID 31519899›Full record

ArticleNature communications2019

The paleoclimatic footprint in the soil carbon stock of the Tibetan permafrost region.

Jinzhi Ding, Tao Wang, Shilong Piao, Pete Smith, Ganlin Zhang, Zhengjie Yan, Shuai Ren, Dan Liu, Shiping Wang, Shengyun Chen and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Jinzhi DingKey Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.ORCID http://orcid.org/0000-0003-3664-2702
Tao WangKey Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China. twang@itpcas.ac.cn.
Shilong PiaoKey Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.ORCID http://orcid.org/0000-0001-8057-2292
Pete SmithInstitute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, UK.ORCID http://orcid.org/0000-0002-3784-1124
Ganlin ZhangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
Zhengjie YanSchool of Life Sciences, Lanzhou University, Lanzhou, 730000, China.
Shuai RenShenzhen Key Laboratory of Circular Economy, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China.
Dan LiuKey Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.
Shiping WangKey Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.
Shengyun ChenState Key Laboratory of Cryosphere Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences, Lanzhou, Gansu, 730000, P.R. China.
Fuqiang DaiSchool of Tourism and Land Resources, Chongqing Technology and Business University, Chongqing, 400067, China.
Jinsheng HeCollege of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0001-5081-3569
Yingnian LiKey Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, 810008, China.
Yongwen LiuKey Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.ORCID http://orcid.org/0000-0002-9664-303X
Jiafu MaoEnvironmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.ORCID http://orcid.org/0000-0002-2050-7373
Altaf ArainSchool of Geography and Earth Sciences and McMaster Centre for Climate Change, McMaster University, Hamilton, Ontario, Canada.
Hanqin TianInternational Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, 36849, USA.ORCID http://orcid.org/0000-0002-1806-4091
Xiaoying ShiEnvironmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Yuanhe YangState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.ORCID http://orcid.org/0000-0002-5399-4606
Ning ZengDepartment of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20742, USA.ORCID http://orcid.org/0000-0002-7489-7629
Lin ZhaoCryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources (NIEER), Chinese Academy of Sciences, Lanzhou, 730000, China.

Funding

Biotechnology and Biological Sciences Research Council BB/N013484/1
6 · The paper itself

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 soil's 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 ([Formula: see text] 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.

Identifiers

PMID31519899
PMCPMC6744502

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.