Open AccessEnvironmental ScienceBiologyGeography

Tanja K. Petersen, J. Speed, V. Grøtan, G. Austrheim

2021.1.1Ecological Solutions and Evidence

DOI: 10.1002/2688-8319.12048

tlooto Summary

This work examined observational GBIF records from Norway to test potential differences in taxonomic, time and land-cover biases between 10 different datasets, with a focus on red-listed and non-native species.

Abstract

1. The availability and quantity of observational species occurrence records have greatly increased due to technological advancements and the rise of online portals, such as the Global Biodiversity Information Facility (GBIF), coalescing occurrence records from multiple datasets. It is well-established that such records are biased in time, space and taxonomy, but whether these datasets differ in relation to origin have not been assessed. If biases are specific to different types of datasets, and the relative contributionfrom these datasets have changed overtime, these shiftingbiases will have implications for interpretations of results and, consequentially, for management and conservation measures. 2. We examined observational GBIF records from Norway to test potential differences in taxonomic, time and land-cover biases between 10 different datasets, with a focus on red-listed and non-native species. 3. The datasets differ in their taxonomic coverage, with datasets dominated by citizen scientistrecordersfocusinggreatlyonbirds.Thenumberofrecordshasincreasedover time; in particular, citizen science datasets have had a sharp increase in recent years. 4. The different datasets (including division of the datasets by conservation status) showed differences

Citation format

PETERSEN, Tanja K., et al. Species data for understanding biodiversity dynamics: The what, where and when of species occurrence data collection. Ecological Solutions and Evidence, 2021.