Evidence map›Paper›PMID 40055503›Full record

ArticleScientific reports2025

Ecological geological vulnerability assessment in Northern Shanxi Province (China) based on sensitivity resilience pressure (SRP) model.

Yanlong Cai, Xiaoyu Guo, Junshuai Liu, Dake Wang, Jilin Zheng

Abstract read
In one paragraph

Article in Scientific reports, 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.

Yanlong CaiHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin, 150086, Heilongjiang, China.
Xiaoyu GuoHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin, 150086, Heilongjiang, China.
Junshuai LiuHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin, 150086, Heilongjiang, China.
Dake WangHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin, 150086, Heilongjiang, China.
Jilin ZhengHarbin Center for Integrated Natural Resources Survey, China Geological Survey, Harbin, 150086, Heilongjiang, China. zhengjilin@mail.cgs.gov.cn.

Funding

China Geological Survey ZD20220201, DD20230477
6 · The paper itself

Abstract

Assessing ecological geological vulnerability is crucial for the protection and restoration of regional ecological environments. Considering the strategic ecological importance of Northern Shanxi Province in China, this study undertakes a thorough regional ecological geological vulnerability assessment, aiming to devise specific countermeasures and generate insightful research contributions. This methodology guides ecological environment evaluations and restorations in Northern Shanxi Province and similar Northwestern Chinese regions. Centering on Northern Shanxi Province, the study utilizes the Sensitivity-Resilience-Pressure (SRP) model to meticulously select 11 indicators, encompassing slope, soil erosion intensity, and the Enhanced Vegetation Indicator (EVI). The study establishes the ecological geological vulnerability index (EGVI) and the ecological geological vulnerability comprehensive index (EGVCI) for the first time, employing the Analytic Hierarchy Process (AHP) and Principal Component Analysis (PCA), to perform the ecological geological vulnerability assessment. The study results show that the EGVCI index for Northern Shanxi Province is approximately 3.96, which represents the ecological geological vulnerability of Northern Shanxi Province residing at a mild level. Regions with the moderate to extreme vulnerability represent about 23.7% of the total area, mainly distributed in the basin-mountain transition zones and the western low-mountain areas, with the primary ecological geological issues of environmental problems caused by open-pit mining activities, soil erosion, and land salinization. The driving factors of the vulnerability are soil erosion intensity, mineral exploitation intensity, water conservation capacity, land use type, slope, and EVI.

Indexed as

ChinaEcological geologyEcological managementSensitivity–resilience–pressureVulnerability

Identifiers

PMID40055503
PMCPMC11889216

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