4.7 Article

Non-English languages enrich scientific knowledge: The example of economic costs of biological invasions

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 775, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.144441

关键词

Ecological bias; Management; Knowledge gaps; InvaCost; Native languages; Stakeholders

资金

  1. French National Research Agency [ANR-14-CE02-0021]
  2. BNP-Paribas Foundation Climate Initiative
  3. AXA Research Fund Chair of Invasion Biology of University Paris Saclay
  4. BiodivERsA and Belmont-Forum call 2018 on biodiversity scenarios -Alien Scenarios [BMBF/PT DLR 01LC1807C]
  5. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (Capes) [001]
  6. Russian Foundation for Basic Research [19-04-01028-a]
  7. InEE-CNRS
  8. French Polar Institute Paul-Emile Victor [IPEV 136]
  9. national nature reserve of the French southern lands
  10. Portuguese National Funds through Fundacao para a Ciencia e a Tecnologia [CEECIND/02037/2017, UIDB/00295/2020, UIDP/00295/2020]
  11. Kuwait Foundation for the Advancement of Sciences (KFAS) [PR1914SM-01]
  12. Gulf University for Science and Technology (GUST) internal seed fund [187092]

向作者/读者索取更多资源

The study suggests that focusing exclusively on the English language in scientific research may hinder effective communication between scientists and practitioners or policymakers whose native language is non-English, leading to biases and knowledge gaps in global science fields. Combining data from non-English sources enhances data completeness, alleviates biases in understanding invasion costs globally, improves management performance and coordination among experts, and strengthens collaborative actions across countries.
We contend that the exclusive focus on the English language in scientific researchmight hinder effective communication between scientists and practitioners or policymakerswhose mother tongue is non-English. This barrier in scientific knowledge and data transfer likely leads to significant knowledge gaps and may create biases when providing global patterns in many fields of science. To demonstrate this, we compiled data on the global economic costs of invasive alien species reported in 15 non-English languages. We compared it with equivalent data from English documents (i.e., the InvaCost database, the most up-to-date repository of invasion costs globally). The comparison of both databases (similar to 7500 entries in total) revealed that non-English sources: (i) capture a greater amount of data than English sources alone (2500 vs. 2396 cost entries respectively); (ii) add 249 invasive species and 15 countries to those reported by English literature, and (iii) increase the global cost estimate of invasions by 16.6% (i.e., US$ 214 billion added to 1.288 trillion estimated fromthe English database). Additionally, 2712 cost entries - not directly comparable to the English database - were directly obtained frompractitioners, revealing the value of communication between scientists and practitioners. Moreover, we demonstrated how gaps caused by overlooking non-English data resulted in significant biases in the distribution of costs across space, taxonomic groups, types of cost, and impacted sectors. Specifically, costs from Europe, at the local scale, and particularly pertaining to management, were largely under-represented in the English database. Thus, combining scientific data from English and non-English sources proves fundamental and enhances data completeness. Considering non-English sources helps alleviate biases in understanding invasion costs at a global scale. Finally, it also holds strong potential for improving management performance, coordination among experts (scientists and practitioners), and collaborative actions across countries. Note: non-English versions of the abstract and figures are provided in Appendix S5 in 12 languages. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/ by/4.0/).

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