Evidence map›Paper›PMID 38891378›Full record

ArticlePlants (Basel, Switzerland)2024

Effects of Micro-Topography and Vegetation on Soil Moisture on Fixed Sand Dunes in Tengger Desert, China.

Dinghai Zhang, Youyi Zhao, Haidi Qi, Lishan Shan, Guopeng Chen, Ting Ning

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Typical Rhizomatous Clonal GrassEcology and evolution · 2025
    Article
  3. Article
  4. 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

6 authors.

Dinghai ZhangCentre for Quantitative Biology, College of Science, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0009-0006-7972-3042
Youyi ZhaoCentre for Quantitative Biology, College of Science, Gansu Agricultural University, Lanzhou 730070, China.
Haidi QiCentre for Quantitative Biology, College of Science, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0009-0004-3641-7518
Lishan ShanCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, China.
Guopeng ChenCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, China.
Ting NingCentre for Quantitative Biology, College of Science, Gansu Agricultural University, Lanzhou 730070, China.

Funding

National Natural Science Foundation of China 42361016the Gansu Natural Science Foundation 21JR7RA831the Gansu Science and Technology Program, the CAS 'Light of West China' Program 22JR9KA032
6 · The paper itself

Abstract

Soil moisture is a key factor in arid ecosystems, with local variations influenced by topography and vegetation. Understanding this relationship is crucial for combating desertification. Employing ANOVA, Mean Decrease Accuracy (MDA) analysis from random forest modeling and Structural Equation Modeling (SEM), this study investigates the distribution of soil moisture and its associations with topographic and vegetative factors across four micro-geomorphic units in the Tengger Desert, China. Significant heterogeneity in soil moisture across various layers and locations, including windward and leeward slopes and the tops and bottoms of dunes, was observed. Soil moisture generally increases from the surface down to 300 cm, with diminishing fluctuations at greater depths. Soil moisture peaks in the surface and middle layers on windward slopes and in deep layers at the bottom of dunes, exhibiting an initial rise and then a decline on windward slopes. Topographic (including slope direction and elevation difference) and vegetation (including shrub and herb coverage) factors significantly influence soil moisture across three depth layers. Topographic factors negatively affect soil moisture directly, whereas vegetation positively influences it indirectly, with shrub and herb abundance enhancing moisture levels. These insights inform ecological management and the formulation of soil moisture-conservation strategies in arid deserts. The study underscores customizing sand-binding vegetation to various micro-geomorphic dune units.

Indexed as

micro-geomorphic unitssand-binding vegetationsoil moistureTengger Deserttopographic factorsvegetation factors

Identifiers

PMID38891378
PMCPMC11174629

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.