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

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, bu...

Full description

Saved in:
Bibliographic Details
Main Authors: Pablo González‐Moreno, 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
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:People and Nature
Subjects:
Online Access:https://doi.org/10.1002/pan3.10767
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832591090489753600
author Pablo González‐Moreno
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
author_facet Pablo González‐Moreno
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
author_sort Pablo González‐Moreno
collection DOAJ
description 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. Read the free Plain Language Summary for this article on the Journal blog.
format Article
id doaj-art-456ca8a95bff4239bbff266492dbb38e
institution Kabale University
issn 2575-8314
language English
publishDate 2025-01-01
publisher Wiley
record_format Article
series People and Nature
spelling doaj-art-456ca8a95bff4239bbff266492dbb38e2025-01-23T04:04:08ZengWileyPeople and Nature2575-83142025-01-017127829410.1002/pan3.10767Citizen science platforms can effectively support early detection of invasive alien species according to species traitsPablo González‐Moreno0Ana A. Anđelković1Tim Adriaens2Christophe Botella3Jakovos Demetriou4Rita Bastos5Sandro Bertolino6Celia López‐Cañizares7Franz Essl8Živa Fišer9Milka Glavendekić10Marc Herremans11Philip E. Hulme12Viola Jani13Dimitra Katsada14Periklis Kleitou15Nicola La Porta16Katharina Lapin17Marta López‐Darias18Vanessa Lozano19Angeliki F. Martinou20Damiano Oldoni21Esra Per22Stephanie Rorke23Helen E. Roy24Karl‐Manfred Schweinzer25Kristijn Swinnen26Elena Tricarico27Joana R. Vicente28Maarten de Groot29Michael J. O. Pocock30Department of Forest Engineering, ERSAF University of Córdoba Córdoba SpainInstitute for Plant Protection and Environment Department of Weed Research Belgrade SerbiaResearch Institute for Nature and Forest (INBO), Herman Teirlinckgebouw Brussels BelgiumCenter for Invasion Biology Stellenbosch University Stellenbosch South AfricaLaboratory of Vector Ecology and Applied Entomology, Joint Services Health Unit Cyprus Akrotiri CyprusCIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão Universidade do Porto Vairão PortugalDepartment of Life Sciences and Systems University of Turin Turin ItalyDepartment of Zoology and Physical Anthropology University of Murcia Murcia SpainDivision of BioInvasions, Macroecology & Global Change, Department of Botany and Biodiversity Research University of Vienna AustriaUniversity of Primorska, Faculty of Mathematics Natural Sciences and Information Technologies Koper SloveniaDepartment of Landscape Architecture and Horticulture, Faculty of Forestry University of Belgrade Belgrade SerbiaNatuurpunt Studie Mechelen BelgiumBioprotection Aotearoa, Department of Pest Management and Conservation Lincoln University Canterbury New ZealandDepartment of Epidemiology and Control of Infectious Diseases, Vectors' Control Unit Institute of Public Health Tirana AlbaniaiSea, Environmental Organization for the Preservation of the Aquatic Ecosystems Thessaloniki GreeceMarine & Environmental Research (MER) Lab Ltd Limassol CyprusIASMA Research and Innovation Centre Trento ItalyAustrian Research Centre for Forests, Natural Hazards and Landscape (BFW) Vienna AustriaInstituto de Productos Naturales y Agrobiología (IPNA‐CSIC) Tenerife SpainDepartment of Agricultural Sciences University of Sassari Sassari ItalyLaboratory of Vector Ecology and Applied Entomology, Joint Services Health Unit Cyprus Akrotiri CyprusOpen Science Lab for Biodiversity, Herman Teirlinckgebouw Research Institute for Nature and Forest (INBO) Brussels BelgiumDepartment of Biology, Faculty of Science Gazi University Ankara TurkeyUK Centre for Ecology & Hydrology Wallingford UKUK Centre for Ecology & Hydrology Wallingford UKAustrian Federal Research Centre for Forests, Natural Hazards and Landscape (BFW) Vienna AustriaNatuurpunt Studie Mechelen BelgiumNational Biodiversity Future Center (NBFC) Palermo ItalyCIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão Universidade do Porto Vairão PortugalDepartment of Forest Protection Slovenian Forestry Institute Ljubljana SloveniaUK Centre for Ecology & Hydrology Wallingford UKAbstract 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. Read the free Plain Language Summary for this article on the Journal blog.https://doi.org/10.1002/pan3.10767biosecuritycitizen scienceearly detectionearly warningnon‐native species traitsparticipation
spellingShingle Pablo González‐Moreno
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
Citizen science platforms can effectively support early detection of invasive alien species according to species traits
People and Nature
biosecurity
citizen science
early detection
early warning
non‐native species traits
participation
title Citizen science platforms can effectively support early detection of invasive alien species according to species traits
title_full Citizen science platforms can effectively support early detection of invasive alien species according to species traits
title_fullStr Citizen science platforms can effectively support early detection of invasive alien species according to species traits
title_full_unstemmed Citizen science platforms can effectively support early detection of invasive alien species according to species traits
title_short Citizen science platforms can effectively support early detection of invasive alien species according to species traits
title_sort citizen science platforms can effectively support early detection of invasive alien species according to species traits
topic biosecurity
citizen science
early detection
early warning
non‐native species traits
participation
url https://doi.org/10.1002/pan3.10767
work_keys_str_mv AT pablogonzalezmoreno citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT anaaanđelkovic citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT timadriaens citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT christophebotella citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT jakovosdemetriou citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT ritabastos citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT sandrobertolino citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT celialopezcanizares citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT franzessl citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT zivafiser citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT milkaglavendekic citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT marcherremans citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT philipehulme citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT violajani citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT dimitrakatsada citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT perikliskleitou citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT nicolalaporta citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT katharinalapin citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT martalopezdarias citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT vanessalozano citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT angelikifmartinou citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT damianooldoni citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT esraper citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT stephanierorke citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT heleneroy citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT karlmanfredschweinzer citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT kristijnswinnen citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT elenatricarico citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT joanarvicente citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT maartendegroot citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits
AT michaeljopocock citizenscienceplatformscaneffectivelysupportearlydetectionofinvasivealienspeciesaccordingtospeciestraits