The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Colonial history and global economics distort our understanding of deep-time biodiversity
Open accessAbstract
Sampling biases in the fossil record distort estimates of past biodiversity. However, these biases not only reflect the geological and spatial aspects of the fossil record, but also the historical and current collation of fossil data. We demonstrate how the legacy of colonialism and socioeconomic factors, such as wealth, education and political stability, impact the global distribution of fossil data over the past 30 years. We find that a global power imbalance persists in palaeontology, with researchers in high- or upper-middle-income countries holding a monopoly over palaeontological knowledge production by contributing to 97% of fossil data. As a result, some countries or regions tend to be better sampled than others, ultimately leading to heterogeneous spatial sampling across the globe. This illustrates how efforts to mitigate sampling biases to obtain a truly representative view of past biodiversity are not disconnected from the aim of diversifying and decolonizing our discipline. Analysing the global distribution, source and authorship of fossil research over the past 30 years, the authors find that researchers in high- or upper-middle-income countries hold a monopoly over palaeontological knowledge production, contributing to 97% of fossil data in the Paleobiology Database, leading to disenfranchisement of researchers in lower-income countries and biased spatial sampling across the globe.
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Sampling biases shape our view of the natural world
Hughes, A. C., Orr, M. C., Ma, K., Costello, M. J., Waller, J., Provoost, P., Yang, Q., Zhu, C., & Qiao, H. (2021) · Ecography · doi:10.1111/ecog.05926 · Cited by 634
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Decoloniality and anti-oppressive practices for a more ethical ecology
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The macroevolutionary history of bony fishes: a paleontological view
Friedman, M. (2022) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-111720-010447 · Cited by 27
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Metadata
- Authors
- Raja, N. B., Dunne, E. M., Matiwane, A., Khan, T. M., Nätscher, P. S., Ghilardi, A. M., & Chattopadhyay, D.
- Venue
- Nature Ecology & Evolution
- Published
- 2021-12-30
- Volume
- 6
- Issue
- 2
- Pages
- 145-154
- ISSN
- 2397-334X (ISSN-L)
- OpenAlex
- W4220673914
- Cited by
- 259
- References
- 45
- FWCI
- 164.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
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