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Citizen Science Improves the Known and Potential Distribution of a Strong Wetland Invader: Implications for Niche Modeling and Invasion Management.
Gervazoni, Paula; Minuti, Gianmarco; Fuentes-Rodriguez, Daniela; Coetzee, Julie; Sosa, Alejandro; Sabater, Lara; Franceschini, Celeste.
Afiliação
  • Gervazoni P; Centro de Ecología Aplicada del Litoral (CECOAL-CONICET-UNNE). Laboratorio de Herbivoría y Control Biológico, Corrientes, Argentina. paulagervazoni07@gmail.com.
  • Minuti G; Department of Biology, Ecology Biodiversity Research Unit, Vrije Universiteit Brussel (VUB), Brussels, Belgium. Gianmarco.Minuti@vub.be.
  • Fuentes-Rodriguez D; Centre for Biological Control, Department of Zoology and Entomology, Rhodes University, Makhanda, South Africa. Gianmarco.Minuti@vub.be.
  • Coetzee J; Centro de Ecología Aplicada del Litoral (CECOAL-CONICET-UNNE). Laboratorio de Herbivoría y Control Biológico, Corrientes, Argentina.
  • Sosa A; Centre for Biological Control, Department of Zoology and Entomology, Rhodes University, Makhanda, South Africa.
  • Sabater L; Fundación para el Estudio de Especies Invasivas (CONICET), Hurlingham, Buenos Aires, Argentina.
  • Franceschini C; Centro de Ecología Aplicada del Litoral (CECOAL-CONICET-UNNE). Laboratorio de Herbivoría y Control Biológico, Corrientes, Argentina.
Environ Manage ; 71(6): 1176-1187, 2023 06.
Article em En | MEDLINE | ID: mdl-36867207
Invasive alien species are one of the main causes of biodiversity loss and ecosystem alteration. Obtaining up-to-date occurrence records and accurate invasion risk maps has become crucial to develop timely and effective management strategies. Unfortunately, gathering and validating distribution data can be labor-intensive and time-consuming, with different data sources unavoidably leading to biases in the results. In this study, we evaluated the performance of a tailored citizen science project compared with other data sources, in mapping the current and potential distribution of Iris pseudacorus, a strong invasive alien plant in Argentina. To do so, we used geographic information systems and ecological niche modeling with Maxent, and compared data from: i) a citizen science tailored project; ii) the Global Biodiversity Information Facility (GBIF); and iii) an exhaustive professional data collection (i.e. field samplings across Argentina, literature and collections review). Results suggest that the citizen science tailored project provided a larger and more diversified amount of data compared to the other sources. All data-sources showed good performance in the ecological niche models, however, data from the tailored citizen science project predicted a greater suitable area, including regions not yet reported. This allowed us to better identify critical and vulnerable areas, where management and prevention strategies are necessary. Professional data provided more reports in non-urban areas, whereas citizen science based data sources (i.e. GBIF and the citizen science project conducted in this study) reported more sites in urban areas, which indicates that different data-sources are complementary and there is a big potential in combining methods. We encourage the use of tailored citizen science campaigns to gather a more diverse amount of data, generating better knowledge about aquatic invasive species and helping decision-making in ecosystem management.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Áreas Alagadas / Espécies Introduzidas / Ciência do Cidadão Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Manage Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Argentina País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Áreas Alagadas / Espécies Introduzidas / Ciência do Cidadão Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Manage Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Argentina País de publicação: Estados Unidos