Evidence map›Paper›PMID 41227441›Full record

ArticleAnimals : an open access journal from MDPI2025

Effects of Multiple Stressors on the Spatial Pattern of Fish Diversity in the Middle and Lower Reaches of the Han River, China.

Zhiyuan Qi, Fei Xiong, Xingkun Hu, Dongdong Zhai, Le Hu, Yanfu Que, Xinbin Duan, Yuanyuan Chen, Hongyan Liu, Bin Zhu

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

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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

10 authors.

Zhiyuan QiHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan 430056, China.ORCID 0009-0001-3437-2350
Fei XiongHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan 430056, China.ORCID 0000-0002-0692-6862
Xingkun HuInstitute of Hydroecology, Ministry of Water Resources and Chinese Academy of Sciences, Wuhan 430079, China.
Dongdong ZhaiHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan 430056, China.
Le HuHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan 430056, China.
Yanfu QueInstitute of Hydroecology, Ministry of Water Resources and Chinese Academy of Sciences, Wuhan 430079, China.
Xinbin DuanNational Agricultural Science Observing and Experimental Station of Chongqing, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Science, Wuhan 430223, China.
Yuanyuan ChenHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan 430056, China.ORCID 0000-0002-9519-7330
Hongyan LiuHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan 430056, China.ORCID 0000-0001-5566-3491
Bin ZhuInstitute of Hydroecology, Ministry of Water Resources and Chinese Academy of Sciences, Wuhan 430079, China.

Funding

the National Natural Science Foundation of China (51779105)the Outstanding Young and Middle-Aged Science and Technology Innovation Team Program of Colleges and Universities in Hubei Province (Grant No. T2020034)the Special Fund for Basic Scientific Research Operations of Central Public Welfare Research Institutes of the Chinese Academy of Fishery Sciences (Grant No. 2023TD09)
6 · The paper itself

Abstract

Human activities have altered rivers worldwide, but how their combined effects shape fish assemblages remains unclear. We therefore surveyed fish and habitats seasonally along the middle and lower reaches of the Han River, China, during 2022, specifically in June-August (wet season) and October-November (dry season). This study analyzed the spatial distribution pattern of fish diversity, explored the effects of natural factors (e.g., hydrology, water quality) and human stressors (e.g., dam, land use) on the spatial pattern of fish diversity, and identified the key driving factors. Cluster analysis and Non-metric Multidimensional Scaling (NMDS) showed that the fish communities could be divided into three groups: the Danjiangkou reservoir area (DRA), the middle reaches (MR), and the lower reaches (LR). For α-diversity, the LR had the highest value, followed by the DRA, with the MR being the lowest. For β-diversity, the MR had the highest value, followed by the LR, with the DRA being the lowest. Random Forest model showed that fish diversity was mainly affected by natural factors; among these factors, the key drivers of α-diversity were hydrological factors such as the water level (3.56-5.97%) and river width (4.53-4.69%), while for β-diversity, the key drivers were water quality factors, including the dissolved oxygen (10.08-12.36%), total nitrogen (6.49-9.31%), and chlorophyll a (8.26-8.40%). Structural Equation Modeling further revealed that natural factors affected β-diversity mainly through direct pathways, while human stressors affected β-diversity mainly through indirect pathways. The results revealed the differential roles of natural factors and human stressors in driving the patterns of fish α-diversity and β-diversity in human-disturbed rivers, which will provide a scientific basis for the conservation of fish diversity in the Han River.

Indexed as

human stressorsnatural factorsstructural equation modelingα-diversityβ-diversity

Identifiers

PMID41227441
PMCPMC12610983

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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.