Evidence map›Paper›PMID 35572399›Full record

ArticleJournal of advanced research2022

Differential response of soil microbial and animal communities along the chronosequence of

Waqar Islam, Hafiz Sohaib Ahmad Saqib, Muhammad Adnan, Zhenyu Wang, Muhammad Tayyab, Zhiqun Huang, Han Y H Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 29 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Waqar IslamInstitute of Geography, Fujian Normal University, Fuzhou 350007, China.
Hafiz Sohaib Ahmad SaqibSTU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou 515063, China.
Muhammad AdnanCollege of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China.
Zhenyu WangInstitute of Geography, Fujian Normal University, Fuzhou 350007, China.
Muhammad TayyabCollege of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Zhiqun HuangInstitute of Geography, Fujian Normal University, Fuzhou 350007, China.
Han Y H ChenInstitute of Geography, Fujian Normal University, Fuzhou 350007, China.
Fujian Normal University · CNFujian Agriculture and Forestry University · CNLakehead University · CAShantou University · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Soil biota plays a crucial role in the terrestrial ecosystem. There is growing momentum to understand the community structure and diversity of total belowground soil biota across large ecological scales. Soil biota follow divergent trends with respect to soil physiochemical properties in different ecosystems; however, little is known about their response to stand development across multiple soil depths in Chinese fir plantations, which is the most important tree species across all over China, popular for its timber production. Objectives: Here, we investigated the community assembly of soil bacteria, fungi, archaea, protists and animals across three different vertical soil profiles (0-10, 10-20, 20-40 cm) using a chronosequence of Chinese fir representing five different stand ages (5, 8, 21, 27, 40 years) in South China. Methods: High throughput illumine Hiseq2500 sequencing. Results: Our results showed that soil biotic communities exhibited a decreasing trend in alpha diversity of bacteria, fungi, protists and animals with increasing soil depth; however, archaea showed an opposite trend. Most abundant soil bacterial, fungal, archaeal, protist and animal classes were Acidobacteriia, Agaricomycetes, Bathyarchaeia, Chlorophyceae and Clitellata, respectively. Correlation of vertical distribution of biotic communities and variations in soil physiochemical properties explained that total nitrogen (TN), available phosphorus (AP) and pH were the most influencing factors for changes in soil biotic communities. Although the stand age was a contributing factor for fungal and animal beta diversity, however, as compared to soil depth, it was not dominatingly influencing the structure of other biotic communities. Conclusions: Collectively, these results reveal a new perspective on the vertical variation and distinct response patterns of soil biotic communities at a fine scale across different stand ages of Chinese fir plantations.

Indexed as

CunninghamiaAnimalsArchaeaBacteriaEcosystemForestsSoilSoil MicrobiologySoilAK, Available potassiumANOSIM, Analysis of similarityANOVA, Analysis of varianceAP, Available phosphorusBD, Bulk densityLSD, Least Significant DifferenceMicrobial diversityNMDS, Non-metric multidimensional scalingNO3, NitrateOTUs, Operational taxonomic unitsRDA, Redundancy analysisSoil animalsSoil microbiomeSoil nutrientsTC, Total carbonTK, Total potassiumTN, Total nitrogenTP, Total phosphorusTropical forestVertical profilesVIFs, Variation inflation factorsWC, Water-holding capacity

Identifiers

PMID35572399
PMCPMC9091736
OpenAlexW3195123878

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.