Evidence map›Paper›PMID 34061304›Full record

ArticleEnvironmental geochemistry and health2022

Composition, environmental implication and source identification of elements in soil and moss from a pristine spruce forest ecosystem, Northwest China.

Yi Wu, Shengli Wang, Fei Zang, Zhongren Nan, Chuanyan Zhao, Yueyue Li, Qianfang Yang

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 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
0.7field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Yi WuCollege of Earth and Environmental Sciences, Lanzhou University, Tianshui South Road 222, Lanzhou, 730000, Gansu, China.
Shengli WangCollege of Earth and Environmental Sciences, Lanzhou University, Tianshui South Road 222, Lanzhou, 730000, Gansu, China. wangshengl@lzu.edu.cn.ORCID http://orcid.org/0000-0003-2373-072X
Fei ZangState Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China.
Zhongren NanCollege of Earth and Environmental Sciences, Lanzhou University, Tianshui South Road 222, Lanzhou, 730000, Gansu, China. nanzhongren@lzu.edu.cn.
Chuanyan ZhaoState Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China.
Yueyue LiCollege of Earth and Environmental Sciences, Lanzhou University, Tianshui South Road 222, Lanzhou, 730000, Gansu, China.
Qianfang YangCollege of Earth and Environmental Sciences, Lanzhou University, Tianshui South Road 222, Lanzhou, 730000, Gansu, China.
Lanzhou University · CNMinistry of Agriculture and Rural Affairs · CN

Funding

China Postdoctoral Science Foundation 2020M673532Fundamental Research Funds for the Central Universities in Lanzhou University lzujbky-2020-kb35National Key Research and Development Program of China 2018YFC1802905National Natural Science Foundation of China 31901130
6 · The paper itself

Abstract

The environmental quality of remote alpine ecosystem has been drawn increasing attention owing to the increasingly severe atmospheric pollution. This study investigated the composition and sources of elements in the soil and moss collected from a pristine spruce forest in the Qilian Mountains, Northwest China. The order of mean concentrations of elements investigated in soil was Fe > K > Na > Mg > Ca > Mn > Cr > Zn > Pb > Ni > Cu > As > Cd > Hg, and that of moss was Ca > Fe > Mg > K > Na > Mn > Cr > Zn > Pb > Ni > Cu > As > Cd > Hg. The concentrations of trace metals (except for As) in soil were greater than the soil background values, with Pb contamination more serious than the other elements. The Nemerow integrated pollution index (NIPI) values indicated that the soils were heavily polluted by Pb, Cd and Ni. The potential ecological risk index (PERI) suggested that the soils were at moderate risk. In particular, Hg and Cd were the most critically potential factors for ecological risk. According to the bioaccumulation factors (BAF), the accumulated concentrations of Ca, Hg, Cd, Pb, Ni, Mg, Cr and Zn in moss were higher than those in soil. By performing the multivariate analyses, natural sources (airborne soil particles) were identified to be the major contributors for all elements, whereas anthropogenic sources also contributed to the accumulations of Pb and Cd in the soil and moss in this region.

Indexed as

Metals, HeavySoil PollutantsChinaEcosystemEnvironmental MonitoringForestsRisk AssessmentSoilMetals, HeavySoilSoil PollutantsMossMultivariate analysisPicea crassifolia forestPollution assessment

Identifiers

PMID34061304
OpenAlexW3164648775

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.