Evidence map›Paper›PMID 31897735›Full record

ArticleEnvironmental monitoring and assessment2020

A multi-criteria evaluation system for arable land resource assessment.

Feipeng Li, Wei Liu, Zhibo Lu, Lingchen Mao, Yihua Xiao

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Soil Quality Assessment in Farmland of a Rapidly Industrializing Area in the Yangtze Delta, China.International journal of environmental research and public health · 2022
    Article
  2. Article
  3. Article
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

5 authors.

Feipeng LiSchool of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Wei LiuSchool of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zhibo LuCollege of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.
Lingchen MaoSchool of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Yihua XiaoDepartment of Biological and Environmental Science, University of Jyväskylä, 40014, Jyväskylä, Finland. yihua.y.xiao@jyu.fi.ORCID http://orcid.org/0000-0001-8643-4421

Funding

Academy of Finland 295709Science and Technology Commission of Shanghai Municipality 15dz1208103Taishan Scholar Foundation of Shandong Province tsqn201909126
6 · The paper itself

Abstract

This study proposed a multi-criteria evaluation system for arable land resources by combining the soil integrated fertility index (IFI) with a soil cleanliness index (based on heavy metals and metalloid content). A total of 16 typical arable land units in Chongming District, China, were evaluated using the proposed evaluation system based on 104 collected soil samples in 16 towns. The comprehensive soil evaluation scores of arable lands in 16 towns were in the range of 90.7 to 99.2 with a mean of 96.2, indicating that the arable land in all 16 towns was at the level of excellent (≥ 90.0). Lower cleanliness indices had a significant impact on the final evaluation score. In comparison with single-index evaluation systems (i.e., the IFI or soil cleanliness index), the proposed multi-criteria system better reflects the quality of the soil. In the practice of arable land requisition and subsidy policy, the proposed multi-criteria evaluation system not only encourages farmers to preserve arable lands during farming but also helps agricultural authorities make effective and reliable management decisions.

Indexed as

AgricultureEnvironmental MonitoringChinaMetals, HeavySoilMetals, HeavySoilArable land resourceComprehensive soil evaluation scoreHeavy metalsIntegrated fertility index (IFI)Multi-criteria evaluation systemSoil cleanliness index

Identifiers

PMID31897735
PMCPMC6940353

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.