Literature DB >> 23104424

Weekend bias in Citizen Science data reporting: implications for phenology studies.

Jason R Courter1, Ron J Johnson, Claire M Stuyck, Brian A Lang, Evan W Kaiser.   

Abstract

Studies of bird phenology can help elucidate the effects of climate change on wildlife species but observations over broad spatial scales are difficult without a network of observers. Recently, networks of citizen volunteers have begun to report first arrival dates for many migratory species. Potential benefits are substantial (e.g., understanding ecological processes at broad spatial and temporal scales) if known biases of citizen data reporting are identified and addressed. One potential source of bias in bird phenology studies is the tendency for more "first" migratory arrivals to be reported on weekends than on weekdays. We investigated weekend bias in data reporting for five common bird species in North America (Baltimore Oriole, Icterus galbula; Barn Swallow, Hirundo rustica; Chimney Swift, Chaetura pelagica; Purple Martin, Progne subis; and Ruby-throated Hummingbird, Archilochus colubris), and assessed whether this bias affected mean arrival dates reported using data from historical (1880-1969; N = 25,555) and recent (1997-2010; N = 63,149) Citizen Science databases. We found a greater percentage of first arrivals reported on weekends and small but significant differences in mean arrival dates (approximately 0.5 days) for four of five species. Comparing time periods, this weekend bias decreased from 33.7 % and five species in the historical time period to 32 % and three species in the recent, perhaps related to changes in human activity patterns. Our results indicate that weekend bias in citizen data reporting is decreasing over time in North America and including a 'day of week' term in models examining changes in phenology could help make conclusions more robust.

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Year:  2012        PMID: 23104424     DOI: 10.1007/s00484-012-0598-7

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  4 in total

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Authors:  Marcel E Visser; Christiaan Both
Journal:  Proc Biol Sci       Date:  2005-12-22       Impact factor: 5.349

2.  Something for the weekend? Examining the bias in avian phenological recording.

Authors:  Tim H Sparks; Kerstin Huber; Piotr Tryjanowski
Journal:  Int J Biometeorol       Date:  2008-01-31       Impact factor: 3.787

3.  A new dawn for citizen science.

Authors:  Jonathan Silvertown
Journal:  Trends Ecol Evol       Date:  2009-07-06       Impact factor: 17.712

4.  Plant phenology networks of citizen scientists: recommendations from two decades of experience in Canada.

Authors:  Elisabeth G Beaubien; Andreas Hamann
Journal:  Int J Biometeorol       Date:  2011-06-19       Impact factor: 3.787

  4 in total
  14 in total

1.  The rise of phenology with climate change: an evaluation of IJB publications.

Authors:  Alison Donnelly; Rong Yu
Journal:  Int J Biometeorol       Date:  2017-05-19       Impact factor: 3.787

2.  Assessing accuracy in citizen science-based plant phenology monitoring.

Authors:  Kerissa K Fuccillo; Theresa M Crimmins; Catherine E de Rivera; Timothy S Elder
Journal:  Int J Biometeorol       Date:  2014-09-02       Impact factor: 3.787

3.  Decision-making of citizen scientists when recording species observations.

Authors:  Diana E Bowler; Netra Bhandari; Lydia Repke; Christoph Beuthner; Corey T Callaghan; David Eichenberg; Klaus Henle; Reinhard Klenke; Anett Richter; Florian Jansen; Helge Bruelheide; Aletta Bonn
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

4.  Is there a weekend bias in clutch-initiation dates from citizen science? Implications for studies of avian breeding phenology.

Authors:  Caren B Cooper
Journal:  Int J Biometeorol       Date:  2013-10-18       Impact factor: 3.787

5.  The role of citizen science in monitoring biodiversity in Ireland.

Authors:  Alison Donnelly; Olivia Crowe; Eugenie Regan; Sinead Begley; Amelia Caffarra
Journal:  Int J Biometeorol       Date:  2013-08-23       Impact factor: 3.787

Review 6.  Distribution models for koalas in South Australia using citizen science-collected data.

Authors:  Ana M M Sequeira; Philip E J Roetman; Christopher B Daniels; Andrew K Baker; Corey J A Bradshaw
Journal:  Ecol Evol       Date:  2014-04-28       Impact factor: 2.912

7.  Optimizing future biodiversity sampling by citizen scientists.

Authors:  Corey T Callaghan; Alistair G B Poore; Richard E Major; Jodi J L Rowley; William K Cornwell
Journal:  Proc Biol Sci       Date:  2019-10-02       Impact factor: 5.349

8.  A Citizen Science Approach to Determine Physical Activity Patterns and Demographics of Greenway Users in Winston-Salem, North Carolina.

Authors:  Joshua R Dilley; Justin B Moore; Phillip Summers; Amanda A Price; Matthew Burczyk; Lynn Byrd; Patricia J Sisson; Alain G Bertoni
Journal:  Int J Environ Res Public Health       Date:  2019-08-29       Impact factor: 3.390

9.  Improving big citizen science data: Moving beyond haphazard sampling.

Authors:  Corey T Callaghan; Jodi J L Rowley; William K Cornwell; Alistair G B Poore; Richard E Major
Journal:  PLoS Biol       Date:  2019-06-27       Impact factor: 8.029

10.  The influence of rare birds on observer effort and subsequent rarity discovery in the American birdwatching community.

Authors:  Jesse A Laney; Tyler A Hallman; Jenna R Curtis; W Douglas Robinson
Journal:  PeerJ       Date:  2021-01-21       Impact factor: 2.984

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