Evidence map›Paper›PMID 40678537›Full record

ArticleiScience2025

Ecological network construction and land degradation risk identification in the Yellow River source area.

Haoxiang Zhang, Qian Song, Shiru Wang, Jianyun Zhao, Wenming Gao

Abstract read
In one paragraph

Article in iScience, 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

5 authors.

Haoxiang ZhangSchool of Geological Engineering, Qinghai University, Xining 810016, China.
Qian SongSchool of Geological Engineering, Qinghai University, Xining 810016, China.
Shiru WangSchool of Geological Engineering, Qinghai University, Xining 810016, China.
Jianyun ZhaoSchool of Geological Engineering, Qinghai University, Xining 810016, China.
Wenming GaoSchool of Geological Engineering, Qinghai University, Xining 810016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The source area of the Yellow River is characterized by complex climatic and geomorphological conditions, fragile ecosystems, and a series of ecological and environmental problems. At the same time, the region is an important ecological barrier area in China, which is related to national ecological security. The construction of ecological and risk networks is indispensable for maintaining ecological processes and sustaining ecological harmony. Based on ordered weighted average operator, morphological spatial pattern analysis, ecological sensitivity, circuit theory, CA-Markov model, kernel density analysis, and other methods, this study aims to consider the positive and negative connections of the network thus constructing the ecological and risk network and predicting the potential risk areas in the future. It provides guidance, reference and early warning for ecological protection and restoration in the Yellow River source area in order to promote ecological high quality and sustainable development.

Indexed as

Earth sciencesEnvironmental scienceLand useRisk assessment

Identifiers

PMID40678537
PMCPMC12268673

What OpenQuestion holds

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LicenceCC BY-NC
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.