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Comparisons of Citizen Science Data-Gathering Approaches to Evaluate Urban Butterfly Diversity.
Prudic, Kathleen L; Oliver, Jeffrey C; Brown, Brian V; Long, Elizabeth C.
Afiliação
  • Prudic KL; Entomology, University of Arizona, Tucson, AZ 85721, USA. klprudic@email.arizona.edu.
  • Oliver JC; School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA. klprudic@email.arizona.edu.
  • Brown BV; Office of Digital Innovation and Stewardship, University of Arizona, Tucson, AZ 85721, USA. jcoliver@email.arizona.edu.
  • Long EC; Department of Entomology, Natural History Museum of Los Angeles County, Los Angeles, CA 90007, USA. bbrown@nhm.org.
Insects ; 9(4)2018 Dec 06.
Article em En | MEDLINE | ID: mdl-30563191
ABSTRACT
By 2030, ten percent of earth's landmass will be occupied by cities. Urban environments can be home to many plants and animals, but surveying and estimating biodiversity in these spaces is complicated by a heterogeneous built environment where access and landscaping are highly variable due to human activity. Citizen science approaches may be the best way to assess urban biodiversity, but little is known about their relative effectiveness and efficiency. Here, we compare three techniques for acquiring data on butterfly (Lepidoptera Rhopalocera) species richness trained volunteer Pollard walks, Malaise trapping with expert identification, and crowd-sourced iNaturalist observations. A total of 30 butterfly species were observed; 27 (90%) were recorded by Pollard walk observers, 18 (60%) were found in Malaise traps, and 22 (73%) were reported by iNaturalist observers. Pollard walks reported the highest butterfly species richness, followed by iNaturalist and then Malaise traps during the four-month time period. Pollard walks also had significantly higher species diversity than Malaise traps.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Insects Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Insects Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos