Evidence map›Paper›PMID 28938020›Full record

ArticlePloS one2017

Seasonal variations in carbon, nitrogen and phosphorus concentrations and C:N:P stoichiometry in different organs of a Larix principis-rupprechtii Mayr. plantation in the Qinling Mountains, China.

Hailiang Li, M James C Crabbe, Fuli Xu, Weiling Wang, Lihui Ma, Ruilong Niu, Xing Gao, Xingxing Li, Pei Zhang, Xin Ma and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  4. Physiological and Structural Changes in Leaves ofPlants (Basel, Switzerland) · 2024
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  6. Article
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  12. Age-dependent resistance of a perennial herb,Frontiers in plant science · 2023
    Article
  13. Article
  14. Article
  15. Stoichiometry of C:N:P in the Roots ofFrontiers in plant science · 2021
    Article
  16. Seasonal Dynamics of Leaf Stoichiometry ofPlants (Basel, Switzerland) · 2020
    Article
  17. Article
  18. Article
  19. 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

11 authors at 4 institutions in 2 countries.

Hailiang LiCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, P. R. China.
M James C CrabbeWolfson College, Oxford University, Oxford, United Kingdom.
Fuli XuCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, P. R. China.ORCID http://orcid.org/0000-0003-2300-7435
Weiling WangCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, P. R. China.
Lihui MaInstitute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi, P. R. China.
Ruilong NiuCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, P. R. China.
Xing GaoCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, P. R. China.
Xingxing LiCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, P. R. China.
Pei ZhangCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, P. R. China.
Xin MaCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, P. R. China.
Haikui ChenCollege of Biological Science and Engineering, Beifang University of Nationalities, Yinchuan, Ningxia, P. R. China.
Northwest A&F University · CNInstitute of Soil and Water Conservation · CNNorth Minzu University · CNUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how concentrations of elements and their stoichiometry change with plant growth and age is critical for predicting plant community responses to environmental change. We used long-term field experiments to explore how the leaf, stem and root carbon (C), nitrogen (N) and phosphorous (P) concentrations and their stoichiometry changed with growth and stand age in a L. principis-rupprechtii Mayr. plantation from 2012-2015 in the Qinling Mountains, China. Our results showed that the C, N and P concentrations and stoichiometric ratios in different tissues of larch stands were affected by stand age, organ type and sampling month and displayed multiple correlations with increased stand age in different growing seasons. Generally, leaf C and N concentrations were greatest in the fast-growing season, but leaf P concentrations were greatest in the early growing season. However, no clear seasonal tendencies in the stem and root C, N and P concentrations were observed with growth. In contrast to N and P, few differences were found in organ-specific C concentrations. Leaf N:P was greatest in the fast-growing season, while C:N and C:P were greatest in the late-growing season. No clear variations were observed in stem and root C:N, C:P and N:P throughout the entire growing season, but leaf N:P was less than 14, suggesting that the growth of larch stands was limited by N in our study region. Compared to global plant element concentrations and stoichiometry, the leaves of larch stands had higher C, P, C:N and C:P but lower N and N:P, and the roots had greater P and C:N but lower N, C:P and N:P. Our study provides baseline information for describing the changes in nutritional elements with plant growth, which will facilitates plantation forest management and restoration, and makes a valuable contribution to the global data pool on leaf nutrition and stoichiometry.

Indexed as

SeasonsAnalysis of VarianceCarbonChinaLarixLinear ModelsNitrogenPhosphorusPlant LeavesPlant RootsPlant StemsSoilCarbonNitrogenPhosphorusSoil

Identifiers

PMID28938020
PMCPMC5609765
OpenAlexW2758582514

What OpenQuestion holds

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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.