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Title:Citizen science platforms can effectively support early detection of invasive alien species according to species traits
Authors:ID González-Moreno, Pablo (Author)
ID Anđelković, Ana A. (Author)
ID Adriaens, Tim (Author)
ID Botella, Christophe (Author)
ID Demetriou, Jakovos (Author)
ID Bastos, Rita (Author)
ID Bertolino, Sandro (Author)
ID López-Cañizares, Celia (Author)
ID Essl, Franz (Author)
ID Fišer, Živa (Author)
ID De Groot, Maarten (Author)
Files:URL URL - Source URL, visit https://besjournals.onlinelibrary.wiley.com/doi/10.1002/pan3.10767
 
.pdf PDF - Presentation file, download (1,14 MB)
MD5: 0A76007AF15EDDBE9BC37C610BB1EB73
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo SciVie - Slovenian Forestry Institute
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 neighbouring countries resulted in earlier citizen science reporting. In contrast, inclusion in the EU priority list resulted in earlier official recording, reflecting the efficacy of targeted surveillance programmes. However, time lags were not affected by the overall activity of citizen platforms per country. Synthesis and applications. Multi-species citizen science platforms for reporting nature sightings are a valuable source of information on early detection of IAS even though they are not specifically designed for this purpose. We recommend that IAS surveillance programmes should be better connected with citizen science platforms, including greater acknowledgement of the role of citizen scientists and better data flow from smaller citizen science initiatives into global databases, to support efficient early detection.
Keywords:invasive species, citizen science, early detection
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2024
Year of publishing:2024
Number of pages:str. 1-17
Numbering:Vol. , iss.
PID:20.500.12556/DiRROS-20959 New window
UDC:581.524.2
ISSN on article:2575-8314
DOI:10.1002/pan3.10767 New window
COBISS.SI-ID:218391299 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 10. 12. 2024; Soavtorji: Ana A. 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 Swinnen, Elena Tricarico, Joana R. Vicente, Maarten de Groot, Michael J. O. Pocock;
Publication date in DiRROS:11.12.2024
Views:286
Downloads:114
Metadata:XML DC-XML DC-RDF
:
GONZÁLEZ-MORENO, Pablo, ANĐELKOVIĆ, Ana A., ADRIAENS, Tim, BOTELLA, Christophe, DEMETRIOU, Jakovos, BASTOS, Rita, BERTOLINO, Sandro, LÓPEZ-CAÑIZARES, Celia, ESSL, Franz, FIŠER, Živa and DE GROOT, Maarten, 2024, Citizen science platforms can effectively support early detection of invasive alien species according to species traits. People and nature [online]. 2024. P. 1–17. [Accessed 9 April 2025]. DOI 10.1002/pan3.10767. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=20959
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Record is a part of a journal

Title:People and nature
Shortened title:People nat.
Publisher:J. Wiley & Sons
ISSN:2575-8314
COBISS.SI-ID:5210703 New window

Document is financed by a project

Funder:Other - Other funder or multiple funders
Project number:COST Action CA17122
Name:COST action Alien CSI “Increasing understanding of alien species through citizen science

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0107-2020
Name:Gozdna biologija, ekologija in tehnologija

Funder:RCUK - Research Council UK
Project number:NE/R016429/1
Name:UK Status, Change and Projections of the Environment (UK-SCaPE)

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:invazivne vrste, državljanska znanost, zgodnje zaznavanje, občanska znanost


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