Evidence map›Paper›PMID 36241892›Full record

ArticleScientific reports2022

Interrelationships among mountain relief, surface organic layer, soil organic carbon, and its mineral association under subarctic forest tundra.

Viliam Pichler, Erika Gömöryová, Ján Merganič, Peter Fleischer, Marián Homolák, Alexander Onuchin, Jozef Výbošťok, Konstantin Prosekin

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Viliam PichlerFaculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 96001, Zvolen, Slovak Republic. pichler@tuzvo.sk.
Erika GömöryováFaculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 96001, Zvolen, Slovak Republic.
Ján MerganičFaculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 96001, Zvolen, Slovak Republic.
Peter FleischerFaculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 96001, Zvolen, Slovak Republic.
Marián HomolákFaculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 96001, Zvolen, Slovak Republic.
Alexander OnuchinV.N. Sukachev Institute of Forest SB RAS, Akademgorodok 50, Building 28, 660036, Krasnoyarsk, Russian Federation.
Jozef VýbošťokFaculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, 96001, Zvolen, Slovak Republic.
Konstantin ProsekinTaimyr Directorate of Nature Reserves, Kirov Str. 24, 663305, Norilsk, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts to estimate the impact of climate change-induced forest expansion on soil carbon stocks in cold regions are hindered by the lack of soil organic carbon (SOC) concentration data. The presented study addressed the information gap by establishing SOC concentration and its variability in two catchments inside the vast, remote, and rugged Putorana Plateau. Additionally, it explored interrelationships among the terrain relief, vegetation cover, surface organic layer, SOC and its mineral association on the northernmost boundary of the forest-tundra biome traversing the northwestern part of the Central Siberian Tableland. Soil samples were taken from the active layer on the slope base, middle, and below the upper forest boundary. Subsequently, they were analyzed for SOC concentration by dry combustion. Multiple linear regression identified associations between slope angle and surface organic layer thickness and between SOC concentration and surface organic layer thickness, clay content, and dithionite-extracted Al. Clay content and surface organic layer thickness explained 68% of the overall SOC concentration variability. When used with data produced by remote sensing-based multipurpose large-scale mapping of selected biophysical factors, the acquired regression equations could aid the estimation of SOC across the rugged terrain of the Siberian Traps.

Indexed as

CarbonSoilClayDithioniteForestsMineralsTundraCarbonClayDithioniteMineralsSoil

Identifiers

PMID36241892
PMCPMC9568575

What OpenQuestion holds

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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.