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中国杏林湾鱼类群落结构及入侵风险评估

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

作者信息

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

机构信息

Fisheries College, Jimei University, Xiamen 361021, China.

Fujian Provincial Key Laboratory of Marine Fishery Resources and Eco-Environment, Xiamen 361021, China.

出版信息

Biology (Basel). 2025 Aug 4;14(8):988. doi: 10.3390/biology14080988.

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- (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.

摘要

采用环境DNA宏条形码(eDNA)和传统形态学调查方法(TSM)相结合的方式,在杏林湾共检测到32种鱼类,涵盖8目、15科、26属。优势目为鲈形目,占总物种数的43.75%。在已鉴定的物种中,有10种非本地鱼类。与传统形态学调查方法相比,eDNA多检测到13种鱼类,其中包括2种额外的非本地鱼类——条纹鲈(Baird和Girard,1853年)和尖吻鲈(Lacepède,1802年)。此外,两种方法得出的鱼类相对丰度显示,罗非鱼占绝对优势,分别占80.75%和75.68%。此外,AS-ISK评估显示,所有非本地鱼类均被归类为中风险或高风险,其中5种被确定为高风险物种,其中4种属于罗非鱼。这些发现表明,罗非鱼是杏林湾的优势和高风险入侵物种,应优先进行管理。建议将通过有针对性地捕捞罗非鱼来减少其种群数量作为主要控制策略。此外,该研究突出了eDNA在监测咸淡水生态系统鱼类群落结构方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33af/12384033/f5d988aa9bff/biology-14-00988-g001.jpg

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