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<p>Extensive observation data on plants and animals are currently compiled through the development and use of various photo apps. We ask to what extent such data sets can support the monitoring of the distribution, community composition, and relative abundances of species of a larger insect group, the butterflies (Lepidoptera, Papilionoidea). In this study, we use faunistic data on butterflies from Austria to compare the completeness and regional distribution of butterfly records stored in the <i>Global Biodiversity Information Facility</i> with three popular photo app-based initiatives for nature monitoring, <i>Blühendes Österreich</i>, <i>iNaturalist</i>, and <i>observation.org</i>. Observed species richness and the regional distribution of records across the Austrian Federal States strongly varied among the photo apps. <i>Blühendes Österreich</i> depicted the lowest number of species (152) with the highest number of records, while <i>iNaturalist</i> (180) and <i>observation.org</i> (177) returned more species. Apparently, behaviour of the users strongly differed between the photo apps. The upper and lower quartiles of most and least abundant species were jointly depicted by all photo apps. Relative abundance– rank order distributions indicate a selective recoding of species with intermediate relative abundance by photo app users and also by the GBIF entries. Our study evidences that the users of a photo app and GBIF strongly influence and bias the information on biodiversity recordings.</p>

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Strengths and shortcomings of citizen science data: lessons from Austrian butterflies

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月23日

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  • Jan Christian Habel,
  • Peter Huemer,
  • Thomas Schmitt,
  • Johannes Rüdisser,
  • Werner Ulrich

摘要

Extensive observation data on plants and animals are currently compiled through the development and use of various photo apps. We ask to what extent such data sets can support the monitoring of the distribution, community composition, and relative abundances of species of a larger insect group, the butterflies (Lepidoptera, Papilionoidea). In this study, we use faunistic data on butterflies from Austria to compare the completeness and regional distribution of butterfly records stored in the Global Biodiversity Information Facility with three popular photo app-based initiatives for nature monitoring, Blühendes Österreich, iNaturalist, and observation.org. Observed species richness and the regional distribution of records across the Austrian Federal States strongly varied among the photo apps. Blühendes Österreich depicted the lowest number of species (152) with the highest number of records, while iNaturalist (180) and observation.org (177) returned more species. Apparently, behaviour of the users strongly differed between the photo apps. The upper and lower quartiles of most and least abundant species were jointly depicted by all photo apps. Relative abundance– rank order distributions indicate a selective recoding of species with intermediate relative abundance by photo app users and also by the GBIF entries. Our study evidences that the users of a photo app and GBIF strongly influence and bias the information on biodiversity recordings.