Hossein Rahmani; Seyed Daryoush Moghaddas
Abstract
Introduction: Non-native species are one of the important threats for biodiversity. Some of non-native fish species poses environmental impacts and are known as invasive species. rivers of south Caspian Sea are home of a vast variety of native or commercial fish species. Non-native species invasiveness ...
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Introduction: Non-native species are one of the important threats for biodiversity. Some of non-native fish species poses environmental impacts and are known as invasive species. rivers of south Caspian Sea are home of a vast variety of native or commercial fish species. Non-native species invasiveness risk assessment tools are used to identify the species with high invasive potential risks and are used as a decision –making tool. The main aim of this study is to calibrate and validate Aquatic Species Invasiveness Screening kit for non-native fish species of rivers in south Caspian Sea basin. Materials and methods: Aquatic Species Invasiveness Screening Kit (AS-ISK) was used to assess non-native (NN) fish that may pose a high potential risk of becoming invasion in Rivers of South Caspian Sea. 15 NN fish species were assessed of which 14 are extant and 1 is horizon species in the risk assessment (RA) area. Two assessor independently have run the kit to NN fish species in the RA. The statistical methods were used to compare the scores that obtained by each assessor. Threshold score was calculated using receiver operating characteristic curve analysis. The model is able to discriminate between invasive and non-invasive aquatic organisms including non-native fishes by risk area-related threshold value. Also, Köppen-Geiger climate system were used to match the climate between native range of NN fish species and the risk assessment area. Results and discussion :Risk assessment of NN fish species led to the identification of 73 % of the species as potential invasive species in the RA area. Carassius gibelio and Carassius auratus achieved the highest risk score and Anguilla anguilla obtained lowest risk score among all NN fish species. There is not a statistically significant difference between assessor-specific mean risk scores. Threshold sores were 9.5 and 11.5 for AS-ISK and Basic Risk Assessment (BRA), respectively. Area under curve was 100% that means an excellent output for efficiency of the AS-ISK in the RA area. Eleven out of the 15 NN fish species were identified as potential invasive species and the rest as non-invasive NN species in the RA area. Confident factors were different from 73% to 64%. All NN fish species were categorized in three list black, grey and white in regard of their risk ranks in order to management prioritization. Conclusion: The AS-ISK efficiently identified NN fish species that pose a high risk of being/becoming invasive in rivers in the south Caspian Sea to prioritize them based on their risk rank and to support conservation managers, decision-makers and policy makers in the aquaculture development plans.
Seyed Daryoush Moghaddas; Asghar Abdoli; Bahram Hassanzade Kiabi; Hossein Rahmani
Abstract
Introduction: The intentional and unintentional introduction of non-native fish species to the aquatic ecosystems of Iran has occurred with purposes such as enhancing aquaculture, ornamentation, biological control, and research. Some of them cause or have the potential to cause, significant environmental ...
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Introduction: The intentional and unintentional introduction of non-native fish species to the aquatic ecosystems of Iran has occurred with purposes such as enhancing aquaculture, ornamentation, biological control, and research. Some of them cause or have the potential to cause, significant environmental and socio-economic impacts on aquatic ecosystems and/or fish farms. The eradication of non-native fishes is impossible or very costly, especially in large areas. Screening and identifying the potential invasiveness of species are being increasingly used all over the world. The main aim of the present research was to assess the potential invasiveness of redbelly Tilapia Coptodon zillii in Anzali international wetland. Material and methods: Aquatic Species Invasiveness Screening Kit (AS-ISK) was used to identify redbelly Tilapia Coptodon zillii as a non-native fish that may pose a high potential risk of becoming invasion in Anzali Wetland. The model is able to discriminate between invasive and non-invasive aquatic organisms including non-native fishes by risk area-related threshold value. Also, the Köppen-Geiger climate system and Climatch software were used to match the climate between the native range of redbelly Tilapia and Anzali Wetland. The projected future climate change scenario was taken from relevant studies to carry out Climate Change Assessment (CCA) of the AS-ISK. Results and discussion: The output of the AS-ISK was 44 for redbelly Tilapia that was higher than the AS-ISK threshold value of the risk assessment area, which meant that the species pose a potential risk of becoming invasive in Anzali wetland. There was a high climate-mating between the native range of redbelly Tilapia and the assessed area when the Köppen-Geiger climate system was used. At least one native habitat of redbelly Tilapia in the system was in the same climate category as the studied area. Also, the Climatch model output was 0.87 that shows a high climate matching for the non-native fish. The CCA had an increasing effect on the total score of the AS-ISK. The factors that increased the AS-ISK score were climate-mating, probable climate change, biological attributes, and invasiveness history of other places that the species was introduced. The comparison of the results of this study and other relevant studies that used AS-ISK to assess potential invasiveness of redbelly Tilapia showed that the species had the potential of becoming an invader in Anzali Wetland as well as some other areas around the country. Conclusion: While non-native fishes are frequently used to enhance aquaculture in the country, a rapid assessment tool is required to avoid nuisance environmental impacts. The AS-ISK can be reliably used as a tool to predict the potential risk of becoming invasive in Anzali Wetland and elsewhere to be used by conservation managers, decision-makers, and policymakers in the aquaculture development plans.
