Gaume & Desquilbet show the #InsectChange database is riddled with errors, as are its parent databases (e.g., #BioTime). Errors include misinterpretation of data from original studies, incorrect data entries, duplicate entries, incorrect units, incorrect organismal groups & more.

L. Gaume and M. Desquilbet (10.24072/pcjournal.469) dive into the #InsectChange database, which has been used to show the abundance of terrestrial insects is declining less than previously thought, and that freshwater insect diversity is increasing (e.g., van Klink et al. 2021).

🪲 Issues with the #InsectChange database ? ... errors in insect counts, sampling biases, inclusion of non-insect data ...

by L. Gaume & M. Desquilbet

👉 peercommunityjournal.org/articles/10....

🔑 They call for meticulous data verification for accurate assessments of insect population changes

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