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Abstract
In the Anthropocene, non-native freshwater fish introductions and translocations have occurred extensively worldwide. However, their global distribution patterns and the factors influencing their establishment remain poorly understood. We analyze a comprehensive database of 14953 freshwater fish species across 3119 river basins and identify global hotspots for exotic and translocated non-native fishes. We show that both types of non-native fishes are more likely to occur when closely related to native fishes. This finding is consistent across measures of phylogenetic relatedness, biogeographical realms, and highly invaded countries, even after accounting for the influence of native diversity. This contradicts Darwin’s naturalization hypothesis, suggesting that the presence of close relatives more often signifies suitable habitats than intensified competition, predicting the establishment of non-native fish species. Our study provides a comprehensive assessment of global non-native freshwater fish patterns and their phylogenetic correlates, laying the groundwork for understanding and predicting future fish invasions in freshwater ecosystems.
Whether non-native species are more or less likely to become established in communities that host close relatives is debated. This global study shows that non-native fish species phylogenetically close to native species are more likely to establish in freshwater ecosystems.
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1 Chinese Academy of Fishery Sciences, Pearl River Fisheries Research Institute, Guangzhou, China (GRID:grid.43308.3c) (ISNI:0000 0000 9413 3760); Ministry of Agriculture and Rural Affairs, Key Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Guangzhou, China (GRID:grid.418524.e) (ISNI:0000 0004 0369 6250); Chinese Academy of Fishery Sciences, Key Laboratory of Alien Species and Ecological Security (CAFS), Guangzhou, China (GRID:grid.43308.3c) (ISNI:0000 0000 9413 3760)
2 School of Ecological and Environmental Sciences, East China Normal University, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai, China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365)
3 Ministry of Education, College of Fisheries, Ocean University of China, The Key Laboratory of Mariculture, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263)
4 UMR EDB, IRD 253, CNRS 5174, UPS, Université Toulouse 3 Paul Sabatier, Toulouse, France (GRID:grid.15781.3a) (ISNI:0000 0001 0723 035X)
5 School of Biological Sciences, Queen’s University Belfast, Institute for Global Food Security, Belfast, UK (GRID:grid.4777.3) (ISNI:0000 0004 0374 7521)