Статья

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

E. Angulo, C. Diagne, L. Ballesteros-Mejia, T. Adamjy, D. Ahmed, E. Akulov, A. Banerjee, C. Capinha, C. Dia, G. Dobigny, V. Duboscq-Carra, M. Golivets, P. Haubrock, G. Heringer, N. Kirichenko, M. Kourantidou, C. Liu, M. Nuñez, D. Renault, D. Roiz, A. Taheri, L. Verbrugge, Y. Watari, W. Xiong, F. Courchamp,
2021

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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  • 1. Version of Record от 2021-03-10

Метаданные

Об авторах
  • E. Angulo
    Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405 Orsay, France. Electronic address: elenaanguloaguado@gmail.com.
  • C. Diagne
    Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405 Orsay, France.
  • L. Ballesteros-Mejia
    Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405 Orsay, France.
  • T. Adamjy
    Institut de Recherche pour le Développement, Centre de Biologie pour la Gestion des Populations, UMR IRD-INRAE-CIRAD-Institut Agro, Montferrier-sur-Lez 34988, France.
  • D. Ahmed
    Centre for Applied Mathematics and Bioinformatics, Department of Mathematics and Natural Sciences, Gulf University for Science and Technology, Hawally 32093, Kuwait.
  • E. Akulov
    Russian Plant Quarantine Center, Krasnoyarsk Branch, Krasnoyarsk 660075, Russia.
  • A. Banerjee
    School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
  • C. Capinha
    Centro de Estudos Geográficos, Instituto de Geografia e Ordenamento do Território - IGOT, Universidade de Lisboa, Rua Branca Edmée Marques, 1600-276 Lisboa, Portugal.
  • C. Dia
    Department of Animal Biology, Sciences and Technics Faculty, Cheikh Anta DIOP University, B.P. Dakar 5005, Senegal.
  • G. Dobigny
    Institut de Recherche pour le Développement, Centre de Biologie pour la Gestion des Populations, UMR IRD-INRAE-CIRAD-Institut Agro, Montferrier-sur-Lez 34988, France.
  • V. Duboscq-Carra
    Grupo de Ecología de Invasiones, INIBIOMA, CONICET/Universidad Nacional del Comahue, Av. de los Pioneros 2350, Bariloche 8400, Argentina.
  • M. Golivets
    Department of Community Ecology, Helmholtz-Centre for Environmental Research - UFZ, Halle (Saale) 06120, Germany.
  • P. Haubrock
    Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Gelnhausen 63571, Germany; University of South Bohemia in České Budějovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Vodňany 389 25, Czech Republic.
  • G. Heringer
    Programa de Pós-Graduação em Ecologia Aplicada, Departamento de Ecologia e Conservação, Instituto de Ciências Naturais, Universidade Federal de Lavras - UFLA, Lavras, Minas Gerais 37200-900, Brazil.
  • N. Kirichenko
    Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Federal Research Center «Krasnoyarsk Science Center SB RAS», Krasnoyarsk 660036, Russia; Siberian Federal University, Krasnoyarsk 660041, Russia.
  • M. Kourantidou
    Woods Hole Oceanographic Institution, Marine Policy Center, Woods Hole, MA 02543, United States; University of Southern Denmark, Department of Sociology, Environmental and Business Economics, Esbjerg Ø 6705, Denmark; Institute of Marine Biological Resources and Inland Waters, Hellenic Center for Marine Research, Athens 16452, Greece.
  • C. Liu
    Institute of Biology, Freie Universität Berlin, Berlin 14195, Germany; Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin 12587, Germany; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin 14195, Germany.
  • M. Nuñez
    Grupo de Ecología de Invasiones, INIBIOMA, CONICET/Universidad Nacional del Comahue, Av. de los Pioneros 2350, Bariloche 8400, Argentina.
  • D. Renault
    Université de Rennes, CNRS, EcoBio (Ecosystèmes, biodiversité, évolution) - UMR 6553, 35000 Rennes, France; Institut Universitaire de France, 75231 Paris Cedex 05, France.
  • D. Roiz
    MIVEGEC, IRD, CNRS, Université Montpellier, Montpellier 34394, France.
  • A. Taheri
    Département de Biologie, Faculté des Sciences, Université Chouaïb Doukkali, El Jadida 24000, Morocco.
  • L. Verbrugge
    University of Helsinki, Faculty of Agriculture and Forestry, Department of Forest Sciences, Helsinki 00014, Finland; Aalto University, Department of Built Environment, Water & Development Research Group, Aalto FI-00076, Finland.
  • Y. Watari
    Forestry and Forest Products Research Institute, Tsukuba, Ibaraki 305-8687, Japan.
  • W. Xiong
    College of Fisheries, Guangdong Ocean University, Zhanjiang 524088, China.
  • F. Courchamp
    Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405 Orsay, France.
Название журнала
  • The Science of The Total Environment
Том
  • 775
Страницы
  • 144441
Издатель
  • Elsevier
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC BY
Правовой статус документа
  • Свободная лицензия
Источник
  • dimensions