Evidence map›Paper›PMID 39204765›Full record

ArticlePlants (Basel, Switzerland)2024

Contribution of Litter and Root to Soil Nutrients in Different Rocky Desertification Grasslands in a Karst Area.

Yuefeng Wang, Jigao Wang, Yini Wang, Xiaojing Wang, Baocheng Jin, Chao Chen, Xuechun Zhao

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yuefeng WangCollege of Animal Science, Guizhou University, Guiyang 550025, China.
Jigao WangCollege of Animal Science, Guizhou University, Guiyang 550025, China.
Yini WangGuizhou Grassland Technology Test and Extension Station, Guiyang 550025, China.
Xiaojing WangKey Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering, Guizhou University, Guiyang 550025, China.
Baocheng JinCollege of Animal Science, Guizhou University, Guiyang 550025, China.ORCID 0000-0002-8973-9746
Chao ChenCollege of Animal Science, Guizhou University, Guiyang 550025, China.
Xuechun ZhaoCollege of Animal Science, Guizhou University, Guiyang 550025, China.

Funding

QKHPTRC-CXTD [2022]011the Science and Technology Department of Guizhou Province (Qian Ke He Zhicheng [2020]1Y076the Science and Technology Department of Guizhou Province (Qian Ke He Zhicheng [2021]Yiban503
6 · The paper itself

Abstract

Litter and root decomposition is an important source of soil organic matter and nutrients. To ascertain the contribution of litter and root to natural grassland nutrients in rocky desertification areas, from March 2017 to January 2018, the continuous soil column method, collector method, and litter decomposition method were used to study the soil nutrients, litter and root biomass, decomposition, and nutrient release of potential, moderate, and severe rocky desertification grasslands, as well as their responses to rocky desertification. The results showed that the litter and root decomposition rate showed a trend of being first fast and then slow, and the decomposition rate of litter and root was greater than 50% after 300 days. The annual litter decomposition rates of potential, moderate, and severe rocky desertification grasslands were 69.98%, 62.14%, and 49.79%, respectively, and the annual decomposition rates of root were 73.64%, 67.61%, and 64.09%, respectively. With a deepening degree of rocky desertification, the litter and root decomposition rate decreased. The decomposition coefficients,

Indexed as

litternutrient releaserocky desertification grasslandsroot

Identifiers

PMID39204765
PMCPMC11359854

What OpenQuestion holds

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LicenceCC BY
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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.