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Zika Etal 2020 by iminoli.dev is a document available to read on EtoBox.
What is Zika Etal 2020 about?
The study evaluates the impact of automated filtering on species occurrence records from the Global Biodiversity Information Facility (GBIF) to identify potentially erroneous data. It finds that 29-90% of records may be problematic, with significant variations across taxonomic groups, and emphasizes the need for customized filtering approaches. The results highlight the importance of careful examination of metadata in biodiversity research and the potential biases in conservation assessments due to erroneou
- Author
- iminoli.dev
- Language
- EN