TY - JOUR T1 - Trends in the detection of aquatic non‐indigenous species across global marine, estuarine and freshwater ecosystems: A 50‐year perspective A1 - Bailey,Sarah A. A1 - Brown,Lyndsay A1 - Campbell,Marnie L. A1 - Canning‐clode,João A1 - Carlton,James T. A1 - Castro,Nuno A1 - Chainho,Paula A1 - Chan,Farrah T. A1 - Creed,Joel C. A1 - Curd,Amelia A1 - Darling,John A1 - Fofonoff,Paul A1 - Galil,Bella S. A1 - Hewitt,Chad L. A1 - Inglis,Graeme J. A1 - Keith,Inti A1 - Mandrak,Nicholas E. A1 - Marchini,Agnese A1 - McKenzie,Cynthia H. A1 - Occhipinti‐ambrogi,Anna A1 - Ojaveer,Henn A1 - Pires‐teixeira,Larissa M. A1 - Robinson,Tamara B. A1 - Ruiz,Gregory M. A1 - Seaward,Kimberley A1 - Schwindt,Evangelina A1 - Son,Mikhail O. A1 - Therriault,Thomas W. A1 - Zhan,Aibin A1 - Hussey,Nigel AD - Great Lakes Laboratory for Fisheries and Aquatic Sciences Burlington ON, Canada AD - Marine Lab Marine Scotland Sci Aberdeen, UK AD - School of Life and Environmental Science Deakin University Geelong Vic., Australia AD - MARE – Marine and Environmental Sciences Centre Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI) Madeira Island ,Portugal AD - Smithsonian Environm Res Ctr Edgewater MD, USA AD - Maritime Studies Program Williams College – Mystic Seaport Mystic CT ,USA AD - Faculdade de Ciências MARE – Marine and Environmental Sciences Centre Universidade de Lisboa Lisbon, Portugal AD - Departamento de Ecologia Universidade do Estado do Rio de Janeiro Rio de Janeiro, Brazil AD - Ifremer DYNECO, Centre Ifremer de Bretagne Plouzané ,France AD - Center for Environmental Measurement & Modeling United States Environmental Protection Agency Research Triangle Park NC, USA AD - The Steinhardt Museum of Natural History Tel Aviv University Tel Aviv, Israel AD - Harry Butler Institute Murdoch University Murdoch, 6150 Western Australia ,Australia AD - National Institute of Water & Atmospheric Research Ltd. Christchurch, New Zealand AD - Charles Darwin Research Station, Charles Darwin Foundation Santa Cruz, Galapagos ,Ecuador AD - University of Toronto Scarborough Toronto ON ,Canada AD - Department of Earth & Environmental Sciences University of Pavia Pavia, Italy AD - Northwest Atlantic Fisheries Centre Fisheries Oceans Canada St John's NL ,Canada AD - Pärnu College University of Tartu Pärnu ,Estonia AD - National Institute of Aquatic Resources Technical University of Denmark Kgs. Lyngby, Denmark AD - Programa de Pós-Graduação em Ecologia e Evolução, Universidade do Estado do Rio de Janeiro Rio de Janeiro, Brazil AD - Department of Botany and Zoology, Centre for Invasion Biology Stellenbosch University Stellenboch ,South Africa AD - Instituto de Biología de Organismos Marinos (IBIOMAR‐CONICET) Puerto Madryn ,Argentina AD - Institute of Marine Biology NAS of Ukraine Odessa ,Ukraine AD - Pacific Biological Station Fisheries & Oceans Canada Nanaimo BC ,Canada AD - Research Center for Eco‐Environmental Sciences Chinese Academy of Sciences Beijing ,China UR - https://archimer.ifremer.fr/doc/00653/76496/ DO - 10.1111/ddi.13167 KW - aquatic non-indigenous species KW - biological invasions KW - detection rate KW - inventory KW - long-term dataset KW - population status KW - richness KW - spatial patterns KW - temporal trends KW - transport pathways N2 - Aim The introduction of aquatic non‐indigenous species (ANS) has become a major driver for global changes in species biogeography. We examined spatial patterns and temporal trends of ANS detections since 1965 to inform conservation policy and management. Location Global. Methods We assembled an extensive dataset of first records of detection of ANS (1965–2015) across 49 aquatic ecosystems, including the (a) year of first collection, (b) population status and (c) potential pathway(s) of introduction. Data were analysed at global and regional levels to assess patterns of detection rate, richness and transport pathways. Results An annual mean of 43 (±16 SD) primary detections of ANS occurred—one new detection every 8.4 days for 50 years. The global rate of detections was relatively stable during 1965–1995, but increased rapidly after this time, peaking at roughly 66 primary detections per year during 2005–2010 and then declining marginally. Detection rates were variable within and across regions through time. Arthropods, molluscs and fishes were the most frequently reported ANS. Most ANS were likely introduced as stowaways in ships’ ballast water or biofouling, although direct evidence is typically absent. Main conclusions This synthesis highlights the magnitude of recent ANS detections, yet almost certainly represents an underestimate as many ANS go unreported due to limited search effort and diminishing taxonomic expertise. Temporal rates of detection are also confounded by reporting lags, likely contributing to the lower detection rate observed in recent years. There is a critical need to implement standardized, repeated methods across regions and taxa to improve the quality of global‐scale comparisons and sustain core measures over longer time‐scales. It will be fundamental to fill in knowledge gaps given that invasion data representing broad regions of the world's oceans are not yet readily available and to maintain knowledge pipelines for adaptive management. Y1 - 2020/12 PB - Wiley JF - Diversity And Distributions SN - 1366-9516 VL - 26 IS - 12 SP - 1780 EP - 1797 ID - 76496 ER -