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| Main Authors: | , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Biology
2025
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40906102/ |
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| _version_ | 1868266157464616963 |
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| author | Feng, Shilong Wang, Xu Huang, Liangmin Wang, Jiaqiao Lin, Lin Li, Jun Dai, Guangjie Cai, Qianwen Xu, Haoqi Hui, Yapeng Ji, Fenfen |
| author_facet | Feng, Shilong Wang, Xu Huang, Liangmin Wang, Jiaqiao Lin, Lin Li, Jun Dai, Guangjie Cai, Qianwen Xu, Haoqi Hui, Yapeng Ji, Fenfen Feng, Shilong Wang, Xu Huang, Liangmin Wang, Jiaqiao Lin, Lin Li, Jun Dai, Guangjie Cai, Qianwen Xu, Haoqi Hui, Yapeng Ji, Fenfen |
| collection | PubMed - marine biology |
| contents | Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China. Feng, Shilong Wang, Xu Huang, Liangmin Wang, Jiaqiao Lin, Lin Li, Jun Dai, Guangjie Cai, Qianwen Xu, Haoqi Hui, Yapeng Ji, Fenfen 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- (Baird and Girard, 1853) and (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. |
| format | Artículo científico |
| id | pubmed_40906102 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Biology |
| record_format | pubmed |
| spellingShingle | Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China. Feng, Shilong Wang, Xu Huang, Liangmin Wang, Jiaqiao Lin, Lin Li, Jun Dai, Guangjie Cai, Qianwen Xu, Haoqi Hui, Yapeng Ji, Fenfen Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China. Feng, Shilong Wang, Xu Huang, Liangmin Wang, Jiaqiao Lin, Lin Li, Jun Dai, Guangjie Cai, Qianwen Xu, Haoqi Hui, Yapeng Ji, Fenfen 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- (Baird and Girard, 1853) and (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. |
| title | Assessment of Fish Community Structure and Invasion Risk in Xinglin Bay, China. |
| url | https://pubmed.ncbi.nlm.nih.gov/40906102/ |