Evidence map›Paper›PMID 41554811›Full record

ArticleScientific reports2026

Vegetation changes drive alterations in soil nutrients, heavy metals and microbial traits in alpine meadows.

Zheng Hou, Chunfeng Dong, Zihui Li, Rongbiao Li, Kaixuan Zhou, Yuanlong Li, Hu Wang, Pingzhao Li, Mengjiao Yang, Ya Zhang

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

10 authors.

Zheng HouKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Chunfeng DongKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Zihui LiKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Rongbiao LiKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Kaixuan ZhouKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Yuanlong LiKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Hu WangKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Pingzhao LiKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China.
Mengjiao YangKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China. 1525830216@qq.com.
Ya ZhangKunming General Survey of Natural Resources Center China Geological Survey, Kunming, 650100, China. zhangya@mail.cgs.gov.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With ongoing global warming, vegetation succession in alpine meadows has become increasingly prominent, substantially altering soil ecological processes. To investigate the patterns and regulatory mechanisms of soil nutrient, heavy metal, and microbial trait changes during vegetation succession, we selected a typical alpine vegetation succession sequence-ranging from grassland to shrubland to mixed forest-in Shangri-La, China. Using a space-for-time substitution approach, we systematically analyzed changes in soil nutrients, heavy metals, and microbial properties (including enzyme activities and microbial biomass) across different succession stages. Our results revealed significant differences in soil nutrients, heavy metals, and microbial characteristics along the succession gradient. Notably, soil enzyme activities, microbial biomass, and concentrations of Cu, Zn, Cr, As, and Cd were lowest in the shrubland co-dominated by Rhododendron racemosum Franch. And Quercus monimotricha (Hand.-Mazz.) Hand.-Mazz. (G2). With the progression of vegetation succession, all measured soil nutrients-except for total potassium (TK)-including available potassium (AK), available phosphorus (AP), soil organic carbon (SOC), pH, total nitrogen (TN), and total phosphorus (TP), exhibited significant increases at the late successional stage, represented by the mixed forest co-dominated by Quercus monimotricha (Hand.-Mazz.) Hand.-Mazz. and Picea asperata Mast. (QG). Soil nutrients and heavy metals jointly drove microbial dynamics, with their combined effects explaining 50.0% of the observed variation. Among these, heavy metals had a greater independent explanatory power (35.0%) than soil nutrients (11.3%). This study provides theoretical support and scientific evidence for understanding ecosystem stability mechanisms and guiding ecological restoration in climate-sensitive alpine regions.

Indexed as

GrasslandMetals, HeavyNutrientsSoilSoil MicrobiologyBiomassChinaEcosystemForestsNitrogenPhosphorusPlantsMetals, HeavyNitrogenPhosphorusSoilAlpine meadowEnzyme activityMicrobial biomassSoil nutrientsVegetation succession

Identifiers

PMID41554811
PMCPMC12855830

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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.