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评估林湾的鱼群结构和入侵风险

Shilong Feng^1,2, Xu Wang^1,2, Liangmin Huang^1,2

¹Fisheries College, Jimei University, Xiamen 361021, China.

|September 4, 2025

概括

环境DNA (eDNA) 和传统调查方法在兴林湾发现了32种鱼类,揭示了鱼是主要的高风险入侵物种. 为了有效管理这种入侵性鱼群,建议对鱼进行有针对性的捕捞.

科学领域:

水生态学
环境DNA (eDNA) 代码化
侵袭性物种管理

背景情况:

林湾拥有多样化的鱼群,
了解鱼群结构和入侵物种动态对于生态系统健康至关重要.

研究的目的:

通过综合的eDNA和传统的调查方法全面评估兴林湾的鱼类多样性.
识别和评估非本地鱼类,特别是鱼所带来的风险.
为入侵物种控制提供管理建议.

主要方法:

结合环境DNA (eDNA) 代码和传统形态调查方法 (TSM).
分析了鱼群结构,物种组成和相对丰富程度.
使用AS-ISK评估来评估非本土物种的风险.

主要成果:

总共发现了32种鱼类,其中鱼类是主导的.
与TSM相比,eDNA元编码发现了13种新物种,其中包括两种新的非本地物种.
鱼被确定为绝大多数主导物种和高风险的入侵物种.

结论:

鱼是兴林湾的主要高风险入侵物种,需要优先管理.
建议针对性地采集鱼作为主要的控制策略.
电子DNA元编码是监测盐生态系统中的鱼群的有效工具.

关键词:

水生物种入侵性查套件兴林湾环境DNA元编码非本地鱼类

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