Citizen science platforms can effectively support early detection of invasive alien species according to species traits

作者：Pablo González‐Moreno, Ana Anđelković, Tim Adriaens, Christophe Botella, Jakovos Demetriou, Rita Bastos, Sandro Bertolino, Celia López‐Cañizares, Franz Essl, Živa Fišer, Milka Glavendekić, Marc Herremans, Philip E. Hulme, Viola Jani, Dimitra Katsada, Periklis Kleitou, Nicola La Porta, Katharina Lapin, Marta López‐Darias, Vanessa Lozano, Angeliki F. Martinou, Damiano Oldoni, Esra Per, Stephanie Rorke, Helen E. Roy, Karl‐Manfred Schweinzer, Kristijn RR Swinnen, Elena Tricarico, Joana R. Vicente, Maarten de Groot, Michael J. O. Pocock · 发表于：People and Nature · 年份：2024 · DOI：10.1002/pan3.10767 · 被引用次数：26 · 研究领域：Species Distribution and Climate Change、Forest Insect Ecology and Management、Environmental DNA in Biodiversity Studies

Abstract Early detection and rapid response are essential to deal effectively with new introductions of invasive alien species (IAS). Citizen science platforms for opportunistic recording of species are increasingly popular, and there is potential to harvest their data for early detection of IAS, but this has not been tested. We evaluated the potential of data from existing citizen science platforms for early detection of IAS by obtaining 687 first records of species from 30 European countries where there was both an official first record (i.e. published in scientific literature or by a government agency) and a record in a citizen science platform. We tested how the difference between the two (time lag) was related to species traits, popularity in citizen science platforms, public and research attention and regulatory status. We found that for 50% of the time lag records, citizen science platforms reported IAS earlier than or in the same year as the official databases. Although we cannot determine causality (the first official record could have been from a citizen science platform, or contemporaneous with it), this demonstrates that citizen science platforms are effective for IAS early detection. Time lags were largely affected by species traits. Compared with official records, vertebrates were more likely to have earlier records on citizen science platforms, than plants or invertebrates. Greater popularity of the IAS in citizen science platforms and its observation in neighb...