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Preprint

Sampling biases shape our view of the natural world

Alice C. HughesXishuangbanna Tropical Botanical GardenMichael C. OrrChinese Academy of Science, Institute of ZoologyKeping MaInstitute of Botany, Chinese Academy of SciencesMark J. CostelloUniversity of AucklandJohn WallerGBIF, Global Biodiversity Information FacilityPieter ProvoostOBIS, Intergovernmental Oceanographic Commission (IOC) of UNESCOChao‐Dong ZhuChinese Academy of Science, Institute of ZoologyHuije QiaoChinese Academy of Sciences
2020en
ABI

Abstract

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of these patterns or their consequences exists. As such, our view of ecosystems may be incorrect, undermining countless ecological and evolutionary studies. Using 742 million records of 374,900 species, we explore the global patterns and impacts of accessibility in terrestrial and marine Systems. Pervasive sampling and observation biases exist across animals, with only 6.74% of the globe sampled, and disproportionately poor tropical sampling. High-elevations and deep-seas are comparably unknown. Over 50% of records in most groups account for under 2% of species. Citizen-science exacerbates biases, and normalizing the practice of valuing data publication is essential to bridge this gap and better represent species distributions from more distant and inaccessible areas, and provide the necessary basis for conservation and management.

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Citations and references

Cited by 20 references