Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/47616 |
Resumo: | We contend that the exclusive focus on the English language in scientific research might hinder effective communication between scientists and practitioners or policy makers whose 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 (~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 from the English database). Additionally, 2712 cost entries - not directly comparable to the English database - were directly obtained from practitioners, 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. |
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Non-English languages enrich scientific knowledge: the example of economic costs of biological invasionsEuropeIntroduced SpeciesLanguageWe contend that the exclusive focus on the English language in scientific research might hinder effective communication between scientists and practitioners or policy makers whose 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 (~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 from the English database). Additionally, 2712 cost entries - not directly comparable to the English database - were directly obtained from practitioners, 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.ElsevierRepositório da Universidade de LisboaAngulo, ElenaDiagne, ChristopheBallesteros-Mejia, LilianaAdamjy, TasnimeAhmed, Danish A.Akulov, EvgenyBanerjee, Achyut K.Capinha, CésarDia, Cheikh A.K.M.Dobigny, GauthierDuboscq-Carra, Virginia G.Golivets, MarinaHaubrock, Phillip J.Heringer, GustavoKirichenko, NataliaKourantidou, MelinaLiu, ChunlongNuñez, Martin A.Renault, DavidRoiz, DavidTaheri, AhmedVerbrugge, Laura N.H.Watari, YuyaXiong, WenCourchamp, Franck2021-04-30T11:05:34Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/47616engAngulo, E., Diagne, C., Ballesteros-Mejia, L., Adamjy, T., Ahmed, D. A., Akulov, E., Banerjee, A.K., Capinha, C. ... & Courchamp, F. (2021). Non-English languages enrich scientific knowledge: The example of economic costs of biological invasions. Science of the Total Environment, 775, 144441. https://doi.org/10.1016/j.scitotenv.2020.1444410048-969710.1016/j.scitotenv.2020.144441info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:50:39Zoai:repositorio.ul.pt:10451/47616Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:59:37.565914Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions |
title |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions |
spellingShingle |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions Angulo, Elena Europe Introduced Species Language |
title_short |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions |
title_full |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions |
title_fullStr |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions |
title_full_unstemmed |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions |
title_sort |
Non-English languages enrich scientific knowledge: the example of economic costs of biological invasions |
author |
Angulo, Elena |
author_facet |
Angulo, Elena Diagne, Christophe Ballesteros-Mejia, Liliana Adamjy, Tasnime Ahmed, Danish A. Akulov, Evgeny Banerjee, Achyut K. Capinha, César Dia, Cheikh A.K.M. Dobigny, Gauthier Duboscq-Carra, Virginia G. Golivets, Marina Haubrock, Phillip J. Heringer, Gustavo Kirichenko, Natalia Kourantidou, Melina Liu, Chunlong Nuñez, Martin A. Renault, David Roiz, David Taheri, Ahmed Verbrugge, Laura N.H. Watari, Yuya Xiong, Wen Courchamp, Franck |
author_role |
author |
author2 |
Diagne, Christophe Ballesteros-Mejia, Liliana Adamjy, Tasnime Ahmed, Danish A. Akulov, Evgeny Banerjee, Achyut K. Capinha, César Dia, Cheikh A.K.M. Dobigny, Gauthier Duboscq-Carra, Virginia G. Golivets, Marina Haubrock, Phillip J. Heringer, Gustavo Kirichenko, Natalia Kourantidou, Melina Liu, Chunlong Nuñez, Martin A. Renault, David Roiz, David Taheri, Ahmed Verbrugge, Laura N.H. Watari, Yuya Xiong, Wen Courchamp, Franck |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Angulo, Elena Diagne, Christophe Ballesteros-Mejia, Liliana Adamjy, Tasnime Ahmed, Danish A. Akulov, Evgeny Banerjee, Achyut K. Capinha, César Dia, Cheikh A.K.M. Dobigny, Gauthier Duboscq-Carra, Virginia G. Golivets, Marina Haubrock, Phillip J. Heringer, Gustavo Kirichenko, Natalia Kourantidou, Melina Liu, Chunlong Nuñez, Martin A. Renault, David Roiz, David Taheri, Ahmed Verbrugge, Laura N.H. Watari, Yuya Xiong, Wen Courchamp, Franck |
dc.subject.por.fl_str_mv |
Europe Introduced Species Language |
topic |
Europe Introduced Species Language |
description |
We contend that the exclusive focus on the English language in scientific research might hinder effective communication between scientists and practitioners or policy makers whose 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 (~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 from the English database). Additionally, 2712 cost entries - not directly comparable to the English database - were directly obtained from practitioners, 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-30T11:05:34Z 2021 2021-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/47616 |
url |
http://hdl.handle.net/10451/47616 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Angulo, E., Diagne, C., Ballesteros-Mejia, L., Adamjy, T., Ahmed, D. A., Akulov, E., Banerjee, A.K., Capinha, C. ... & Courchamp, F. (2021). Non-English languages enrich scientific knowledge: The example of economic costs of biological invasions. Science of the Total Environment, 775, 144441. https://doi.org/10.1016/j.scitotenv.2020.144441 0048-9697 10.1016/j.scitotenv.2020.144441 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
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