4.1 Article

An assessment of data accuracy and best practice recommendations for observations of lichens and other taxonomically difficult taxa on iNaturalist

Journal

BOTANY
Volume 100, Issue 6, Pages 491-497

Publisher

CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cjb-2021-0160

Keywords

biodiversity; conservation; citizen science; species at risk; data accuracy

Categories

Funding

  1. NSF [2115191]
  2. Division Of Environmental Biology
  3. Direct For Biological Sciences [2115191] Funding Source: National Science Foundation

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This study examines the accuracy of lichen observations on the online platform iNaturalist and finds frequent misidentifications or lack of necessary information. Despite their taxonomic difficulty, lichens are popular subjects on iNaturalist. Accurate data from iNaturalist is crucial for biodiversity conservation efforts.
We assess the identification accuracy of 'research grade' observations of lichens posted on the online platform iNaturalist. Our results show that these observations are frequently misidentified or lack the necessary chemical and (or) microscopic information for accurate identification. Lichens are a taxonomically difficult group, but they are ubiquitous and eye-catching and are regularly the subject of observations posted on iNaturalist. Therefore, we provide best practice recommendations for posting lichen observations and commenting on observations. Data from iNaturalist are a valuable tool for understanding and managing biodiversity, particularly at this crucial time when large scale biodiversity decline is occurring globally. However, the data must be accurate for them to effectively support biodiversity conservation efforts. Our recommendations are also applicable to other taxonomically difficult taxa.

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