Quality of citizen science data and its consequences for the conservation of skipper butterflies (Hesperiidae) in Flanders (northern Belgium)

Vantieghem, Pieter; Maes, Dirk; Kaiser, Aurélien; Merckx, Thomas

doi:10.1007/s10841-016-9924-4

Cited by 34 publications

(27 citation statements)

References 46 publications

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“…While some of these differences might be caused by time lags between the surveys conducted by pupils and experts, the varying degree of accordance (Table 1) indicates substantial identification uncertainties. This is in line with Vantieghem et al (2016) who encountered substantial species identification errors among morphologically similar skipper butterflies examining photographs uploaded with observations from citizen scientists.…”

Section: Discussion Estimating Butterfly Habitat Qualitysupporting

confidence: 83%

Simplified and still meaningful: assessing butterfly habitat quality in grasslands with data collected by pupils

et al. 2017

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Section: Discussion Estimating Butterfly Habitat Qualitysupporting

confidence: 83%

Simplified and still meaningful: assessing butterfly habitat quality in grasslands with data collected by pupils

et al. 2017

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“…Key issues are when, how, and to what degree citizens can be involved in the research process. Most authors agree that citizen science can contribute substantially to data collection (e.g., Kasperowski 2016, Hochachka et al 2012), but concerns are sometimes voiced regarding data quality (Kosmala et al 2016, Vantieghem et al 2016, Kamp et al 2016, Fowler et al 2013. Several authors also point to the usefulness of citizen science for increasing understanding about scientific processes (Trumbull et al 2000, Brossard et al 2005, Jordan et al 2011) and for building public trust and acceptance for nature conservation (McKinley et al 2017).…”

Section: Innovation and Inspiration For Sciencementioning

confidence: 99%

Innovation in Citizen Science – Perspectives on Science-Policy Advances

Hecker

Bonney

Haklay

et al. 2018

CSTP

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“…For instance, it is the main record source for the Iberian Spider Catalog (Morano et al ., ). This study, however, has shown that citizen activity on photo‐sharing platforms can dramatically increase our knowledge about the distribution and ecology of poorly studied species that can easily be identified through an image (van der Wal et al ., ; Vantieghem et al ., ; Zapponi et al ., ). This is especially important nowadays that amateur and professional taxonomists are on the decline and the science of taxonomy is in crisis (Hopkins & Freckleton, ; Dayrat, ).…”

Section: Discussionmentioning

confidence: 97%

“…Vantieghem et al . () showed the importance of the correction of misidentifications in butterfly photo records, which for same species can represent a high proportion of the records, significantly affecting the subsequent distribution analyses. Fortunately, new technologies are expected to make these tasks easier in the future (e.g.…”

Section: Discussionmentioning

confidence: 99%

Photo‐sharing platforms key for characterising niche and distribution in poorly studied taxa

Jiménez‐Valverde

Peña‐Aguilera

Barve

et al. 2019

Insect Conserv Diversity

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The continuing advancement of new technologies is making available novel sources of occurrence data, such as photo‐sharing platforms. Using three Iberian Argiope spider species as models, this study aimed to compare the quality of three data sources – existing scientific literature, a biodiversity‐focused photo‐sharing citizen science project, and a photo‐sharing social network – and the results derived from niche and distribution analyses. Data sources were compared in terms of sample size, spatial clustering, and coverage, degree of climatic niche completeness, and in their consistency in the characterisation of response curves. Possible biases towards big cities and protected natural areas were identified, and species distribution models were parameterised and compared. Photo records provided the largest number of occurrences, whereas data from scientific literature showed the worst spatial coverage. Records from the citizen science project yielded the highest degree of niche completeness. All data sources showed some bias towards big cities and protected areas. Data from existing scientific literature yielded the worst range representations and, accordingly, the most different distribution models, whereas the models based on two photo‐vouchered sources were very similar. Range and niche analyses using records from different sources may yield disparate results. Occurrence data from existing scientific literature may not be enough to develop robust niche analyses nor to characterise recent range changes of poorly studied taxa. Photo‐sharing platforms provide updated chorological information and have the potential to increase sample sizes dramatically, which is an important data property in distribution and niche modelling.

show abstract

Quality of citizen science data and its consequences for the conservation of skipper butterflies (Hesperiidae) in Flanders (northern Belgium)

Cited by 34 publications

References 46 publications

Simplified and still meaningful: assessing butterfly habitat quality in grasslands with data collected by pupils

Simplified and still meaningful: assessing butterfly habitat quality in grasslands with data collected by pupils

Innovation in Citizen Science – Perspectives on Science-Policy Advances

Photo‐sharing platforms key for characterising niche and distribution in poorly studied taxa

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