Evidence map›Paper›PMID 39967815›Full record

ArticleFrontiers in plant science2025

Elevation gradient effects on grassland species diversity and phylogenetic in the two-river source forest region of the Altai Mountains, Xinjiang, China.

Jing Che, Mao Ye, Qingzhi He, Guoyan Zeng, Miaomiao Li, Weilong Chen, Xiaoting Pan, Jiaorong Qian, Yexin Lv

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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. Article
  2. Article
  3. Proposal ofInternational journal of molecular sciences · 2025
    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

9 authors.

Jing CheCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Mao YeCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Qingzhi HeCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Guoyan ZengCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Miaomiao LiCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Weilong ChenCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Xiaoting PanCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Jiaorong QianCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.
Yexin LvCollege of Geographical and Tourism, Xinjiang Normal University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Altitude, as a key environmental factor, shapes the spatial patterns of species diversity, phylogenetic diversity, and community phylogenetic structure. Studying grassland diversity and phylogenetic structure along altitudinal gradients helps clarify how altitude-driven environmental changes influence community assembly, and reveal vertical patterns in community formation. This study examines grasslands at 1300-2500 m elevation in the Two-River Source Forest Area, Altai Mountains, Xinjiang. Six elevation gradients (200 m intervals) were surveyed with 90 grassland quadrats, documenting community characteristics and environmental data. The study analyzes the patterns of species composition, diversity, and phylogeny across different elevation gradients and explores their relationships with key environmental factors. The results indicate that the grassland species composition is dominated by species from the Poaceae, Rosaceae, and Asteraceae families, with

Indexed as

biodiversitycommunity phylogenetic diversitycommunity phylogenetic structureenvironmental factorsspecies composition

Identifiers

PMID39967815
PMCPMC11832647

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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.