2010
DOI: 10.1111/j.1931-0846.2010.00026.x
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Citizen Science and Bird–Distribution Data: AN Opportunity for Geographical Research*

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Cited by 9 publications
(13 citation statements)
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“…All these citizen datasets are biased in terms of spatial and temporal coverage (Dickinson et al 2010;Yaukey 2010) and they oversample in places where more people live (Sullivan et al 2009). Some programs have more standardized protocols than others (Yaukey 2010) and all of them are subject to errors in identification and detectability (Sullivan et al 2009).…”
Section: Bird Observationsmentioning
confidence: 99%
See 1 more Smart Citation
“…All these citizen datasets are biased in terms of spatial and temporal coverage (Dickinson et al 2010;Yaukey 2010) and they oversample in places where more people live (Sullivan et al 2009). Some programs have more standardized protocols than others (Yaukey 2010) and all of them are subject to errors in identification and detectability (Sullivan et al 2009).…”
Section: Bird Observationsmentioning
confidence: 99%
“…Some programs have more standardized protocols than others (Yaukey 2010) and all of them are subject to errors in identification and detectability (Sullivan et al 2009). However, based on expert lists of birds in an area potentially faulty sightings are flagged, and regional experts determine whether they should be removed from the database (Sullivan et al 2009).…”
Section: Bird Observationsmentioning
confidence: 99%
“…A valuable means to increase monitoring capacity is to recruit volunteers and members of the public to gather scientific information using “citizen science” (Bonney et al ). For example, several avian studies mined data from the Breeding Bird Survey, a long‐term data set of volunteer observations, to analyze population trends on a large geographic and temporal scale (Yaukey ). In Sweden, the range expansion of the tick Ixodes ricinus was detected through a series of public questionnaires (Jaenson et al ).…”
mentioning
confidence: 99%
“…These types of data are extraordinarily abundant and growing rapidly (Yaukey 2010;Sullivan et al 2017). I show that, by applying robust statistical methods to presence data, it is possible to retrieve information on spatio-temporal variation of species ranges, which can provide insights about species' migration status.…”
Section: Chapter 1 1 Thesis Introductionmentioning
confidence: 99%
“…Data on birds have been accumulating rapidly in the last few decades compared to other taxa (Amano et al 2016), especially presence-only data, which has been increasingly used in scientific research and conservation decisions (Yaukey 2010;Fink et al 2014;Sullivan et al 2017).…”
Section: Introductionmentioning
confidence: 99%