Evidence map›Paper›PMID 34760350›Full record

ArticlePeerJ2021

Land-use change influence soil quality parameters at an ecologically fragile area of YongDeng County of Gansu Province, China.

Samuel Adingo, Jie-Ru Yu, Liu Xuelu, Sun Jing, Xiaodan Li, Zhang Xiaoning

Abstract read
In one paragraph

Article in PeerJ, 2021. 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

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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

6 authors.

Samuel AdingoCollege of Forestry, Gansu Agricultural University, Lanzhou, Gansu Province, China.
Jie-Ru YuCollege of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu Province, China.
Liu XueluCollege of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu Province, China.
Sun JingCollege of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu Province, China.
Xiaodan LiSchool of Management, Gansu Agricultural University, Lanzhou, Gansu Province, China.
Zhang XiaoningCollege of Forestry, Gansu Agricultural University, Lanzhou, Gansu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dry ecosystems, despite their relative levels of aridity, are very diverse, and play a vital role in the livelihoods of many dryland inhabitants. It is therefore critical to investigate the relationship between land-use change and soil quality parameters to offer a scientific basis for optimizing land-use planning and improving soil quality status in dry ecosystems and ecologically vulnerable areas. This study, therefore, analyzed the physicochemical properties of soils in five different land-use types namely farmland, abandoned farmland, natural grassland, artificial lemon forest, and poplar woodland at YongDeng County. The soil quality status of the aforementioned land-use types was also evaluated through Principal component analysis. The results revealed that abandoned farmland and natural grassland recorded the highest average values of soil coarse particles of 24.0% and 23.4% respectively compared to the other land-use types. The highest average value (46.1%) of fine soil particles was recorded in poplar woodland followed by natural grassland (36.6%) and the average value of very fine soil particles was higher in farmland (40.8%) and artificial lemon woodland (38.3%) than in the other land-use types. The average value of clayey particles was highest in farmland (11.1%), followed by artificial lemon woodland (9.3%), and abandoned farmland (6.5%), then poplar woodland which recorded an average value of (4.2%). The average values of Soil water content, soil pH, soil electrical conductivity, and soil total nitrogen content were significantly higher in farmland compared to the other land-use types. Soil organic carbon content was significantly higher in abandoned farmland at (

Indexed as

Land-use changePhysicochemical propertiesPrincipal component analysisSoil fertilitySoil quality

Identifiers

PMID34760350
PMCPMC8556711

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LicenceCC BY
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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.