The role of non-English-language science in informing national biodiversity assessments

Amano, Tatsuya; Berdejo-Espinola, Violeta; Akasaka, Munemitsu; de Andrade Junior, Milton A. U.; Blaise, Ndayizeye; Checco, Julia; Çilingir, F. Gözde; Citegetse, Geoffroy; Corella Tor, Marina; Drobniak, Szymon M.; Giakoumi, Sylvaine; Golivets, Marina; Ion, Mihaela C.; Jara-Díaz, Javiera P.; Katayose, Ryosuke; Lasmana, Felicia P. S.; Lin, Hsien-Yung; Lopez, Erick; Mikula, Peter; Morales-Barquero, Lucia; ... (2023). The role of non-English-language science in informing national biodiversity assessments. Nature sustainability, 6(7), pp. 845-854. Springer 10.1038/s41893-023-01087-8

Text 2023_NatSustain.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (2MB) | Request a copy

Consulting the best available evidence is key to successful conservation decision-making. While much scientific evidence on conservation continues to be published in non-English languages, a poor understanding of how non-English-language science contributes to conservation decision-making is causing global assessments and studies to practically ignore non-English-language literature. By investigating the use of scientific literature in biodiversity assessment reports across 37 countries/territories, we have uncovered the established role of non-English-language literature as a major source of information locally. On average, non-English-language literature constituted 65% of the references cited, and these were recognized as relevant knowledge sources by 75% of report authors. This means that by ignoring non-English-language science, international assessments may overlook important information on local and/or regional biodiversity. Furthermore, a quarter of the authors acknowledged the struggles of understanding English-language literature. This points to the need to aid the use of English-language literature in domestic decision-making, for example, by providing non-English-language abstracts or improving and/or implementing machine translation.

Interest & Impact

Downloads

1 since deposited on 28 Mar 2023
1 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item