ArticleAmerican journal of botany2019
Mobilizing the community of biodiversity specimen collectors to effectively detect and document outliers in the Anthropocene.
Article in American journal of botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Mass production of unvouchered records fails to represent global biodiversity patterns.Nature ecology & evolution · 2023Article
- Mobilizing the community of biodiversity specimen collectors to effectively detect and document outliers in the Anthropocene.American journal of botany · 2019Article
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Authors and funding
2 authors.
Funding
Abstract
premiseBiological outliers (observations that fall outside of a previously understood norm, e.g., in phenology or distribution) may indicate early stages of a transformative change that merits immediate attention. Collectors of biodiversity specimens such as plants, fungi, and animals are on the front lines of discovering outliers, yet the role collectors currently play in providing such data is unclear.
methodsWe surveyed 222 collectors of a broad range of taxa, searched 47 training materials, and explored the use of 170 outlier terms in 75 million specimen records to determine the current state of outlier detection and documentation in this community.
resultsCollectors reported observing outliers (e.g., about 80% of respondents observed morphological and distributional outliers at least occasionally). However, relatively few specimen records include outlier terms, and imprecision in their use and handling in data records complicates data discovery by stakeholders. This current state appears to be at least partly due to the absence of protocols: only one of the training materials addressed documenting and reporting outliers.
conclusionsWe suggest next steps to mobilize this largely untapped, yet ideally suited, community for early detection of biotic change in the Anthropocene, including community activities for building relevant best practices.
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