Risk screening tools play a crucial role in identifying potential high‐risk non‐native (NN) fish species. In this study, potentially invasive NN fish species in the Anzali Wetland Complex (AWC), which is located on the south coast of the Caspian Sea (Iran), were identified using the Aquatic Species Invasiveness Screening Kit (AS‐ISK). Twenty‐nine freshwater fish species were screened of which 13 exist in the AWC and 16 in close proximity to it (“horizon” species). Receiver operating characteristic curve analysis showed that AS‐ISK could discriminate reliably between non‐invasive and invasive fish species for the AWC. Mean threshold scores were 3.25 for the Basic Risk Assessment (BRA) and 11.75 for the BRA + CCA (BRA + Climate Change Assessment), and these, respectively, classified 89.7% and 86.2% of the species as high risk. The CCA resulted in an increase in the BRA scores for 86.2% of the species, suggesting the need to account in future NN species management for a likely increased invasiveness of those species under future climate conditions. These results suggest that AS‐ISK could prove an effective tool for identifying potentially invasive NN freshwater fishes in other wetlands of the Caspian Sea basin.

中文翻译：

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识别对里海地区RAMSAR湿地的入侵鱼类威胁—以安扎利湿地综合体（伊朗）为例

风险筛选工具在识别潜在的高风险非本地（NN）鱼种中起着至关重要的作用。在这项研究中，使用水生生物入侵筛选工具包（AS‐ISK）识别了位于里海（伊朗）南海岸的Anzali湿地综合体（AWC）中潜在入侵的NN鱼种。筛选了29种淡水鱼物种，其中在AWC中存在13种，在其附近有16种（“水平”物种）。接收器工作特性曲线分析表明，AS-ISK可以可靠地区分AWC的非侵入性和侵入性鱼类。基本风险评估（BRA）的平均阈值得分为3.25，而BRA + CCA（BRA +气候变化评估）的平均阈值得分分别为89.7％和86.2％。CCA导致该物种的BRA分数增加了86.2％，这表明有必要在未来的NN物种管理中考虑到这些物种在未来气候条件下的入侵性可能会增加。这些结果表明，AS‐ISK可以证明是识别里海盆地其他湿地中潜在入侵的NN淡水鱼的有效工具。