Evidence map›Paper›PMID 36438101›Full record

ArticleFrontiers in plant science2022

Predicting spatial variability of species diversity with the minimum data set of soil properties in an arid desert riparian forest.

Xiaotong Li, Yudong Chen, Guanghui Lv, Jinlong Wang, Lamei Jiang, Hengfang Wang, Xiaodong Yang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Xiaotong LiCollege of Ecology and Environment, Xinjiang University, Xinjiang, China.
Yudong ChenCollege of Ecology and Environment, Xinjiang University, Xinjiang, China.
Guanghui LvCollege of Ecology and Environment, Xinjiang University, Xinjiang, China.
Jinlong WangCollege of Ecology and Environment, Xinjiang University, Xinjiang, China.
Lamei JiangCollege of Ecology and Environment, Xinjiang University, Xinjiang, China.
Hengfang WangCollege of Ecology and Environment, Xinjiang University, Xinjiang, China.
Xiaodong YangSchool of Civil & Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species diversity has spatial heterogeneity in ecological systems. Although a large number of studies have demonstrated the influence of soil properties on species diversity, most of them have not considered their spatial variabilities. To remedy the knowledge gap, a 1 ha (100 m × 100 m) plots of arid desert riparian forest was set up in the Ebinur Wetland Nature Reserve (ELWNR) in the NW China. Then, the minimum data set of soil properties (soil MDS) was established using the Principal Component Analysis (PCA) and the Norm Value Determination to represent the total soil property data set (soil TDS). The Geo-statistics and two models (

Indexed as

desert riparian forestsGeo-statisticsRandom Forest modelspatial distributionspatially heterogeneous

Identifiers

PMID36438101
PMCPMC9691764

What OpenQuestion holds

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LicenceCC BY
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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.