Evidence map›Paper›PMID 34035390›Full record

ArticleScientific reports2021

Soil organic carbon cycling in response to simulated soil moisture variation under field conditions.

Shikha Singh, Melanie A Mayes, Avat Shekoofa, Stephanie N Kivlin, Sangeeta Bansal, Sindhu Jagadamma

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Shikha SinghDepartment of Biosystems Engineering and Soil Science, University of Tennessee, 2506 E.J Chapman Drive, Knoxville, TN, 37996, USA.
Melanie A MayesEnvironmental Sciences Division & Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Avat ShekoofaDepartment of Plant Sciences, University of Tennessee, Knoxville, TN, USA.
Stephanie N KivlinDepartment of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USA.
Sangeeta BansalDepartment of Plant Sciences, University of Tennessee, Knoxville, TN, USA.
Sindhu JagadammaDepartment of Biosystems Engineering and Soil Science, University of Tennessee, 2506 E.J Chapman Drive, Knoxville, TN, 37996, USA. sjagada1@utk.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of extended dry periods and high intensity rainfall, common in the southeastern US, leads to greater variability in soil moisture and consequently increases uncertainty to microbial processes pertinent to soil carbon (C) mineralization. However, field-based findings on soil moisture sensitivity to soil C cycling are very limited. Therefore, a field experiment was conducted in 2018 and 2019 on a soybean (Glycine max L.) cropland in the southeastern US with three soil moisture treatments: drought (simulated using rainout-shelter from June to October in each year), rainfed (natural precipitation), and irrigated (irrigation and precipitation). Soil respiration was measured weekly from May to November in both years. Soil samples were collected multiple times each year from 0-5, 5-15, and 15-30 cm depths to determine microbial biomass C (MBC), extractable organic C (EOC), hydrolytic enzyme activities, and fungal abundance. The cumulative respiration under drought compared to other treatments was lower by 32% to 33% in 2018 and 38% to 45% in 2019. Increased MBC, EOC, and fungal abundance were observed under drought than other treatments. Specific enzyme activity indicated fewer metabolically active microbes under drought treatment compared to rainfed and irrigated treatments. Also, maintenance of enzyme pool was observed under drought condition. These results provide critical insights on microbial metabolism in response to soil moisture variation and how that influences different pools of soil C under field conditions.

Identifiers

PMID34035390
PMCPMC8149407

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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.