Evidence map›Paper›PMID 41794849›Full record

ArticleScientific reports2026

Influence of vegetation types on soil physicochemical and biochemical properties in naturally recovering riverbank sand mining sites.

Yong Qin, Tengfei Yan, Shijie Feng

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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.

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

3 authors.

Yong QinXinyang Agriculture and Forestry University, Xinyang, 464000, China.
Tengfei YanHenan Dabieshan National Field Observation and Research Station of Forest Ecosystem, Henan University, Zhengzhou, 450046, China.
Shijie FengXinyang Agriculture and Forestry University, Xinyang, 464000, China. fsj_6688@126.com.

Funding

Henan Science and Technology for Forestry Project YLK202323the Natural Science Foundation of Henan 222300420271Xinyang Academy of Ecological Research Open Foundation 2023XYMS13
6 · The paper itself

Abstract

Natural recovery is a vital strategy for rehabilitating degraded ecosystems, yet the mechanisms by which pioneer vegetation types differentially drive soil development in harsh environments like riverbank sand mining sites remain poorly understood. In this study, plant nutrient characteristics, soil physicochemical and biochemical properties of four vegetation types, namely, Artemisia scoparia, Saccharum arundinaceum, Imperata cylindrica, and solitary trees, in the naturally recovering sand mining sites along the upper Huai River Basin were investigated. The findings revealed a consistent “surface enrichment” effect, with soil physicochemical properties significantly better in the 0–20 cm layer than in the 20–40 cm layer across all vegetation types. The effects of vegetation types on soil properties were profound and divergent. Soil total carbon (TC) content was highest under I. cylindrica (15.24 ± 2.92 g/kg), which was 3.1 times the TC under A. scoparia. Plant total nitrogen content (TN) varied dramatically, with A. scoparia (7.16 ± 0.85 g/kg) containing approximately twice the tissue TN content of the other vegetation types; Soil multifunctionality was directly regulated by both vegetation type and soil depth, with the effects of vegetation mediated by soil chemical properties, and the effects of depth mediated by chemical properties and enzyme activities. Coarse particulate carbon was the key driver, explaining 36.5% of the variance in soil properties. Collectively, vegetation facilitated recovery via a “trading carbon for nitrogen and phosphorus” strategy, enhancing carbon cycling to overcome nutrient limitations. This study provides actionable guidance for assisted restoration by identifying I. cylindrica for rapid surface soil enrichment and solitary trees for deep structure improvement, suggesting a staged planting strategy.

Indexed as

Degraded ecosystemsHuai RiverPrimary successionSoil multifunctionalityVegetation restoration

Identifiers

PMID41794849
PMCPMC13086857

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LicenceCC BY-NC-ND
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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.