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https://doi.org/10.1038/s41598-022-15218-2

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Decision-making of citizen scientists when recording species observations

[journal article]

Bowler, Diana E.
Bhandari, Netra
Repke, Lydia
Beuthner, Christoph
Callaghan, Corey T.
Eichenberg, David
Henle, Klaus
Klenke, Reinhard
Richter, Anett
Jansen, Florian
Bruelheide, Helge
Bonn, Aletta

Abstract

Citizen scientists play an increasingly important role in biodiversity monitoring. Most of the data, however, are unstructured - collected by diverse methods that are not documented with the data. Insufficient understanding of the data collection processes presents a major barrier to the use of citi... view more

Citizen scientists play an increasingly important role in biodiversity monitoring. Most of the data, however, are unstructured - collected by diverse methods that are not documented with the data. Insufficient understanding of the data collection processes presents a major barrier to the use of citizen science data in biodiversity research. We developed a questionnaire to ask citizen scientists about their decision-making before, during and after collecting and reporting species observations, using Germany as a case study. We quantified the greatest sources of variability among respondents and assessed whether motivations and experience related to any aspect of data collection. Our questionnaire was answered by almost 900 people, with varying taxonomic foci and expertise. Respondents were most often motivated by improving species knowledge and supporting conservation, but there were no linkages between motivations and data collection methods. By contrast, variables related to experience and knowledge, such as membership of a natural history society, were linked with a greater propensity to conduct planned searches, during which typically all species were reported. Our findings have implications for how citizen science data are analysed in statistical models; highlight the importance of natural history societies and provide pointers to where citizen science projects might be further developed.... view less

Keywords
environmental research; biodiversity; monitoring; data capture; data collection method; participation; motivation; experience; layperson

Classification
Sociology of Science, Sociology of Technology, Research on Science and Technology

Free Keywords
citizen science

Document language
English

Publication Year
2022

Journal
Scientific Reports, 12 (2022)

ISSN
2045-2322

Status
Published Version; reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.