2021
DOI: 10.1007/s43388-020-00031-0
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The contribution of citizen science to research on migratory and urban birds in Brazil

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Cited by 25 publications
(20 citation statements)
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“…Regarding data availability and concentration, easily accessible areas (e.g. national parks, and urban green areas) have been shown to have a higher amount of animal presence records (Barbosa et al., 2021; Cambria et al., 2021; Tulloch et al., 2013). In spite of certain biases inherent in this data generation methodology (Callaghan et al., 2021; Hall et al., 2021; Luna et al., 2018), this information can be useful to model distribution, monitor migratory routes or altitudinal movements and assess diet or the presence of relevant species in certain regions as well as for the planning and conservation of species in cities (Appel & de Oliveira Porfirio, 2023; Barbosa et al., 2021; Liu et al., 2021; Randler, 2021; Sullivan et al., 2014).…”
Section: Introductionmentioning
confidence: 99%
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“…Regarding data availability and concentration, easily accessible areas (e.g. national parks, and urban green areas) have been shown to have a higher amount of animal presence records (Barbosa et al., 2021; Cambria et al., 2021; Tulloch et al., 2013). In spite of certain biases inherent in this data generation methodology (Callaghan et al., 2021; Hall et al., 2021; Luna et al., 2018), this information can be useful to model distribution, monitor migratory routes or altitudinal movements and assess diet or the presence of relevant species in certain regions as well as for the planning and conservation of species in cities (Appel & de Oliveira Porfirio, 2023; Barbosa et al., 2021; Liu et al., 2021; Randler, 2021; Sullivan et al., 2014).…”
Section: Introductionmentioning
confidence: 99%
“…national parks, and urban green areas) have been shown to have a higher amount of animal presence records (Barbosa et al., 2021; Cambria et al., 2021; Tulloch et al., 2013). In spite of certain biases inherent in this data generation methodology (Callaghan et al., 2021; Hall et al., 2021; Luna et al., 2018), this information can be useful to model distribution, monitor migratory routes or altitudinal movements and assess diet or the presence of relevant species in certain regions as well as for the planning and conservation of species in cities (Appel & de Oliveira Porfirio, 2023; Barbosa et al., 2021; Liu et al., 2021; Randler, 2021; Sullivan et al., 2014). Most of these studies based on citizen science data have been conducted in North America and Europe, and to a lesser extent, in South American countries (Callaghan et al., 2021; DeGroote et al., 2021; Donnelly et al., 2014; Lees, 2016; Schubert et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
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“…CS as a concept describes research conducted by non-professional scientists who are not institutionally employed in this field of science (as defined in the Greenbook Citizen Science; Bonn et al, 2017). The use of CS data is rapidly growing, especially in ornithology, and has been successfully used, e.g., for bird monitoring (de Camargo Barbosa et al, 2021), geographical distribution (de Jesus et al, 2021), and population trends (Neate-Clegg et al, 2020). Nevertheless, usage of CS data is not yet well established in ornithology (Weisshaupt et al, 2021) due to a lack of information and thus quality concerns about data availability, data bias, and data generation (Hochachka et al, 2012;Lukyanenko et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…There are two main citizen science platforms used by Brazilian bird watchers: eBird, an online repository for birdwatching records developed by the Cornell Lab of Ornithology (Sullivan et al 2009), and WikiAves, a Brazilian dataset of georeferenced avian photographs and sound recordings containing more than three million records of 1971 species. Recently, researchers have begun using WikiAves to study distribution and migration patterns of several Brazilian species (Lees and Martin 2015;Lees 2016;Klemann-Junior et al 2017;Somenzari et al 2018;DeGroote et al 2020;Barbosa et al 2021), demonstrating the utility and reliability of the dataset (Dália 2017; Schubert et al 2019). Leveraging the observations of citizens to better understand bird distribution and migration patterns (Greenwood 2007;Hurlbert and Liang 2012;Zelt et al 2012;Tulloch et al 2013;Loss et al 2015;Newson et al 2016) enables a geographic breadth of data collection that would otherwise be prohibitive due to the time and resources required.…”
Section: Introductionmentioning
confidence: 99%