Evidence map›Paper›PMID 27765953›Full record

ArticleScientific reports2016

Rising soil temperature in China and its potential ecological impact.

Hui Zhang, Enli Wang, Daowei Zhou, Zhongkui Luo, Zhengxiang Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Asymmetric Soil Warming under Global Climate Change.International journal of environmental research and public health · 2019
    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

5 authors.

Hui ZhangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Enli WangCSIRO Agriculture, GPO Box 1666, Canberra, ACT 2601, Australia.
Daowei ZhouNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Zhongkui LuoCSIRO Agriculture, GPO Box 1666, Canberra, ACT 2601, Australia.
Zhengxiang ZhangSchool of Geographical Sciences, Northeast Normal University, Changchun 130024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global warming influences a series of ecological processes and ecosystems' stability. Although comprehensive studies have been done to investigate responses of various ecosystem processes to rising air temperatures, less is known about changes in soil temperatures and their impact on below-ground processes, particularly in deep layers. Herein, we used 50 y of temperature data (1962-2011) from 360 sites in China to assess spatio-temporal changes in soil temperatures from the surface to a depth of 3.20 m. We determined, apparently for the first time, that soil surface temperature increased 31% more than air temperature, potentially leading to more carbon release to the atmosphere than predicted. Annual mean surface temperature increased by 2.07-4.04 and 0.66-2.21 °C in northern and southern China, respectively, with the greatest in winter. Warming occurred as deep as 3.20 m. The soil temperature rise was predicted to have increased soil respiration by up to 28%, reinforcing climate warming and extending the potential growing season by up to 20 d across China. However, use of only air temperature to estimate soil temperature changes would underestimate those impacts. In conclusion, these results highlighted the importance of soil warming and of using soil temperature to assess and predict soil processes.

Indexed as

Global WarmingHot TemperatureSoilChinaSoil

Identifiers

PMID27765953
PMCPMC5073247

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.