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More than half of the records were bird (Aves) occurrences (345 million occurrences; 53% of the GBIF mediated data), even though birds represent only 1% of the total number of species catalogued in GBIF.
Aves was also the class with the highest median number of occurrences per species (med = 3).
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The lowest values of the median number of occurrences per species (i.e.
below 7) were found for several classes of Arthropods (Insecta, Maxillopoda, Arachnida, Malacostraca), some fungi (Agaricomycetes) and diatoms (Bacillariophyceae).
Here, we used 626 million occurrences from the Global Biodiversity Information Facility (GBIF), the biggest biodiversity data portal, to characterize the taxonomic bias in biodiversity data.
This bias stems from disparities in our knowledge of different organisms, and in the extent to which they are the focus of scientific research, across a wide range of biological disciplines.But these intrinsic features alone cannot fully explain the pervasive taxonomic bias observed in science.Two hypotheses on the role of two extrinsic factors can then be put forward: the ‘taxonomic research’ hypothesis and the ‘societal preferences’ hypothesis.the number of publications) as explaining variables, respectively.Opposing these hypotheses enabled us to suggest future directions for developing strategies for representative sampling of biodiversity while this is still possible.24 classes of organisms recorded in the GBIF database had more than 1 million occurrences, with widely variable numbers of occurrence recordings (Table 1).