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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.

Electronic decision-support tools are becoming an essential component of government strategies to tackle non-native species invasions. This study describes the development and application of a multilingual electronic decision-support tool for screening terrestrial animals under current and future climate conditions: the Terrestrial Animal Species Invasiveness Screening Kit (TAS-ISK). As an adaptation of the widely employed Aquatic Species Invasiveness Screening Kit (AS-ISK), the TAS-ISK question template inherits from the original Weed Risk Assessment (WRA) and related WRA-type toolkits and complies with the ‘minimum requirements’ for use with the recent European Regulation on invasive alien species of concern. The TAS-ISK consists of 49 basic questions on the species’ biogeographical/historical traits and its biological/ecological interactions, and of 6 additional questions to predict how climate change is likely to influence the risks of introduction, establishment, dispersal and impact of the screened species. Following a description of the main features of this decision-support tool as a turnkey software application and of its graphical user interface with support for 32 languages, sample screenings are provided in different risk assessment areas for one representative species of each of the main taxonomic groups of terrestrial animals supported by the toolkit: mammals, birds, reptiles, amphibians, annelids, insects, molluscs, nematodes, and platyhelminths. The highest-scoring species were the red earthworm Lumbricus rubellus for the Aegean region of Turkey and the New Zealand flatworm Arthurdendyus triangulatus for Croatia. It is anticipated that adoption of this toolkit will mirror that of the worldwide employed AS-ISK, hence allowing to share information and inform decisions for the prevention of entry and/or dispersal of (high-risk) non-native terrestrial animal species – a crucial step to implement early-stage control and eradication measures as part of rapid-response strategies to counteract biological invasions.

Introduction:The introduction of invasive fish species into aquatic ecosystems causes various adverse ecological and socio-economic impacts. The first step in analyzing the effects of these species is to identify the risk. Then, different tools have been developed to identify potential invasive species and evaluate the potential of their invasiveness to support decision-makers in analyzing the invasive risk of these species. This study aimed to assess the invasion potential of the non-native species redbelly tilapia (Coptodon zillii, Gervais 1848) in the Shadegan Wetland basin (the Karun and Jarahi catchments) using some of these tools. Material and methods:The level of risk for C. zillii in the trinational risk assessment protocol was determined based on the results of the two components "Probability of Establishment" and "Consequences of Establishment". In the German-Austrian Blacklist Information System (GABLIS), the invasive potential of the species was evaluated according to the distribution in the study area. The non-native species were screened by the Aquatic Species Invasiveness Screening Kit (AS-ISK) model according to the threshold of the assessment area; and the rank of species invasion was calculated based on the probability of species establishment, expansion, and environmental effects, using the Harmonia + method. Also, the climate matching between the introduced and native range of the species was carried out with the Köppen-Geiger climate classification system.