Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China

A total of 32 fish species were detected in Xinglin Bay using a combination of environmental DNA metabarcoding (eDNA) and traditional morphological survey methods (TSM), covering eight orders, fifteen families, and twenty-six genera. The dominant order was Perciformes, accounting for 43.75% of the total species. Among the identified species, there were ten non-native fish species. Compared with the TSM, the eDNA detected 13 additional fish species, including two additional non-native fish species-<i>Gambusia affinis</i> (Baird and Girard, 1853) and <i>Micropterus salmoides</i> (Lacepède, 1802). In addition, the relative abundance of fish from both methods revealed that tilapia was overwhelmingly dominant, accounting for 80.75% and 75.68%, respectively. Furthermore, the AS-ISK assessment revealed that all non-native fish species were classified as medium or high-risk, with five identified as high-risk species, four of which belong to tilapia. These findings demonstrated that tilapia are the dominant and high-risk invasive species in Xinglin Bay and should be prioritized for management. Population reduction through targeted harvesting of tilapia is recommended as the primary control strategy. Additionally, the study highlights the effectiveness of eDNA in monitoring fish community structure in brackish ecosystems.

Authors

Institutions

Publication Details

Journal
Biology
Published
2025-08-04
DOI
https://doi.org/10.3390/biology14080988
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China

Yapeng Hui, Xu Wang, Guojun Dai, Qianwen Cai et al.
Biology
Environmental DNA in Biodiversity Studies
article

Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China

Yapeng Hui, Xu Wang, Guojun Dai, Qianwen Cai, Liangmin Huang, Haoqi Xu, Jiaqiao Wang, Jun Li, Fenfen Ji, Shilong Feng, Lin Lin
article en

Abstract

A total of 32 fish species were detected in Xinglin Bay using a combination of environmental DNA metabarcoding (eDNA) and traditional morphological survey methods (TSM), covering eight orders, fifteen families, and twenty-six genera. The dominant order was Perciformes, accounting for 43.75% of the total species. Among the identified species, there were ten non-native fish species. Compared with the TSM, the eDNA detected 13 additional fish species, including two additional non-native fish species-<i>Gambusia affinis</i> (Baird and Girard, 1853) and <i>Micropterus salmoides</i> (Lacepède, 1802). In addition, the relative abundance of fish from both methods revealed that tilapia was overwhelmingly dominant, accounting for 80.75% and 75.68%, respectively. Furthermore, the AS-ISK assessment revealed that all non-native fish species were classified as medium or high-risk, with five identified as high-risk species, four of which belong to tilapia. These findings demonstrated that tilapia are the dominant and high-risk invasive species in Xinglin Bay and should be prioritized for management. Population reduction through targeted harvesting of tilapia is recommended as the primary control strategy. Additionally, the study highlights the effectiveness of eDNA in monitoring fish community structure in brackish ecosystems.

BiologyVol. 14(8)
Jimei University (CN), Fujian Fisheries Research Institute (CN)
Natural Science Foundation of Fujian Province, Department of Education, Fujian Province
Life below water
Openalex Percentile: Top 80%
Environmental DNA in Biodiversity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China — Yapeng Hui, Xu Wang, et al. · Biology (2025) | TGRS Research Map | TGRS