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

Autor: Samad, Farah, Šćiban, Marko, Xiao, Hui, Blaise, Ndayizeye, Drobniak, Szymon, Nguyen, Thi, Walsh, Jessica, Natykanets, Viktor, de Andrade Junior, Milton, Lasmana, Felicia, Lopez, Erick, Lisboa, Sá, Berdejo-Espinola, Violeta, Katayose, Ryosuke, Amano, Tatsuya, Ion, Mihaela, Tor, Marina, Giakoumi, Sylvaine, Akasaka, Munemitsu, Citegetse, Geoffroy, Çilingir, F., Pavón-Jordán, Diego, Golivets, Marina, Lin, Hsien-Yung, Checco, Julia, Jara-Díaz, Javiera, Zamora-Gutierrez, Veronica, Vajna, Flóra, Vozykova, Svetlana, Shinoda, Yushin, Pottier, Patrice, Wee, Alison, Morales-Barquero, Lucia, Mupepele, Anne-Christine, Mikula, Peter, Prescott, Graham, Narváez-Gómez, Juan, Seo, Hae-Min, Nuñez, Martin
Rok vydání: 2022
Předmět:
Popis: 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 languages 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 uncover the established role of non-English-language literature as a major information source locally. On average, non-English-language literature constituted 65% of the references cited, and were recognised 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/regional biodiversity. 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/implementing machine translation.
Databáze: OpenAIRE