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Colonial history and global economics distort our understanding of deep-time biodiversity

Nussaïbah B. Raja, Emma M. Dunne, Aviwe Matiwane, Tasnuva Ming Khan, Paulina Nätscher, Aline M. Ghilardi, Devapriya Chattopadhyay

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Abstract

Sampling variations in the fossil record distort estimates of past biodiversity. However, compilations of global fossil occurrences used in these analyses not only reflect the geological and spatial aspects of the fossil record, but also the historical collation of these data. Here, we demonstrate how the legacy of colonialism as well as socio-economic factors such as wealth, education and political stability impact research output in paleontology. Re- searchers in high or upper middle income countries contribute to 97% of fossil occurrence data, not only leading to spatial sampling biases but also generating a global power imbalance within the discipline. This work illustrates that our efforts to mitigate the effects of sampling biases to obtain a truly representative view of past biodiversity are not disconnected from the aim of diversifying our field.

Topics & Concepts

BiodiversityColonialismSampling (signal processing)Deep timeFossil RecordPoliticsGeographySampling biasField (mathematics)Environmental resource managementPaleontologyEcologyEconomicsPolitical scienceArchaeologyBiologyStatisticsLawComputer scienceMathematicsFilter (signal processing)Pure mathematicsComputer visionSample size determinationEvolution and Paleontology StudiesPaleopathology and ancient diseasesEvolution and Genetic Dynamics