Evidence map›Paper›PMID 34308502›Full record

ArticleEnvironmental monitoring and assessment2021

Terricolous mosses impact soil microbial biomass carbon and enzymatic activity under temperate forest types of the Garhwal Himalayas.

Anshu Siwach, Siddhartha Kaushal, Ratul Baishya

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Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

3 authors.

Anshu SiwachEcology and Ecosystem Research Laboratory, Department of Botany, University of Delhi, Delhi, 110007, India.ORCID http://orcid.org/0000-0003-4744-6790
Siddhartha KaushalEcology and Ecosystem Research Laboratory, Department of Botany, University of Delhi, Delhi, 110007, India.ORCID http://orcid.org/0000-0002-9176-3403
Ratul BaishyaEcology and Ecosystem Research Laboratory, Department of Botany, University of Delhi, Delhi, 110007, India. rbaishya@botany.du.ac.in.ORCID http://orcid.org/0000-0002-4149-6466

Funding

Science and Engineering Research Board EEQ /2016/000164university of delhi loE/FRP/LS/2020/27
6 · The paper itself

Abstract

Estimates of enzymatic activity are used as indices for soil quality, microbial nutrient demand, microbial growth, and activity. Mosses trap soil moisture, influence soil temperature, and create a microenvironment promoting an overall higher level of microbial activity, thus making the decomposition of organic matter more favorable. This study determines the role of mosses in influencing soil biochemical properties in three temperate forest types of the Garhwal Himalayas, Uttarakhand, viz., moist temperate deciduous forest, Ban oak forest, and moist deodar forest. Activities of major soil enzymes (dehydrogenase, β-glucosidase, acid phosphatase, aryl sulfatase, phenol oxidase, and urease) and soil microbial biomass carbon (SMBC) were determined under two different substrates, i.e., with and without moss cover in two different seasons, viz., monsoon and winter. The Pearson correlation of enzymes with specific soil nutrients they act upon has also been shown. The SMBC and on average activities of all the enzymes were predominantly higher in soil with moss cover during monsoon season and without moss cover in the winter season. SMBC in the three study sites ranged from 280.55 to 1707.64 µg C/g. Statistically significant differences (p < 0.01) were observed for all the properties within the substrates among all the three sites and across the two seasons. Our results suggest that mosses play a significant role in positively influencing soil biochemical properties in both seasons by creating a microscale mosaic that offers a high degree of heterogeneity in soil function. Our study emphasizes that mosses strongly affect soil enzyme activities and microbial biomass, thus improving soil health.

Indexed as

BryophytaSoilBiomassCarbonEnvironmental MonitoringForestsNitrogenSoil MicrobiologyCarbonNitrogenSoilEnzyme assayMicrobial activitySoil moistureSoil nutrientsSoil organic carbonUttarakhand

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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.