Evidence map›Paper›PMID 40874087›Full record

ArticleFrontiers in plant science2025

Assessing grassland degradation based on abrupt changes in living status of vegetation in a subalpine meadow.

Yong Zhang, Yun Zhang, Hasbagan Ganjurjav, Haitao Yue, Kun Tian, Hang Wang, Qiong Zhang, Zijiao Zhao

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yong Zhang *Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, Southwest Forestry University, Kunming, China.
Yun Zhang *Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, Southwest Forestry University, Kunming, China.
Hasbagan GanjurjavInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agriculture Sciences, Beijing, China.
Haitao YueYunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, Southwest Forestry University, Kunming, China.
Kun TianYunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, Southwest Forestry University, Kunming, China.
Hang WangYunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, Southwest Forestry University, Kunming, China.
Qiong ZhangAcademy of Forestry Inventory and Planning, National Forestry and Grassland Administration, Beijing, China.
Zijiao ZhaoYunnan Dashanbao Grus nigricollis National Nature Reserve Management and Protection Bureau, Zhaotong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grassland degradation impacts and restoration strategies have been extensively studied in existing literature. Nevertheless, current diagnostic approaches for assessing degradation conditions predominantly rely on either empirical or mechanistic approaches, leading to inconsistent findings across studies. Here, we proposed a geo-coding and abrupt analysis based (GAAB) method to identify the degradation conditions of grasslands. The living status of vegetation (

Indexed as

geo-codinggrassland degradationMann-Kendall abrupt analysisthresholdvegetation status

Identifiers

PMID40874087
PMCPMC12378160

What OpenQuestion holds

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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.