Fenfen Ji
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Fenfen Ji has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Dongsu Chen
Hunan Research Academy of Environmental Sciences, Changsha, China
1 shared publication - Guangjie Dai
Agriculture, Rural and Water Resources Bureau of Jimei District, Xiamen 361022, China
1 shared publication - Haoqi Xu
Fisheries College, Jimei University, Xiamen 361021, China
1 shared publication - Jia-Qiao Wang
Fisheries College, Jimei University, Xiamen 361021, China
1 shared publication - Jun Li
Fisheries College, Jimei University, Xiamen 361021, China
1 shared publication - Liangmin Huang
Fisheries College, Jimei University, Xiamen 361021, China
1 shared publication
Latest Publications
- 26 February 2026
- Published by Springer Nature in Aquatic Sciences
- Vol. 88 (2) , 48
Estimating fish diversity and distribution using environmental DNA metabarcoding in a major tributary of the Yangtze River, China
- 26 February 2026
- Published by Springer Nature in Aquatic Sciences
- Vol. 88 (2) , 48
Estimating fish diversity and distribution using environmental DNA metabarcoding in a major tributary of the Yangtze River, China
- Open Access
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—Gambusia affinis (Baird and Girard, 1853) and Micropterus salmoides (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.
Open AccessAssessment 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—Gambusia affinis (Baird and Girard, 1853) and Micropterus salmoides (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.