Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

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Найдено документов в текущей БД: 4

    Mapping certified forests for sustainable management - A global tool for information improvement through participatory and collaborative mapping
/ F. Kraxner [et al.] // For. Policy Econ. - 2017. - Vol. 83. - P10-18, DOI 10.1016/j.forpol.2017.04.014 . - ISSN 1389-9341
Аннотация: There are currently no spatially explicit, openly accessible data available on forest certification below national level, so understanding the drivers of certification in the past, examining the scope for further certification and using this information for development of future sustainable forest management strategies is challenging. Hence, this paper presents a methodology for the development of a global map of certified forest areas at 1 km resolution in order to satisfy this information need. Validation of the map with certified areas in Russia showed reasonable results, but the lack of openly accessible data requires broadening the strategy for improving the global certification map in the future. Thus, the second aim of the paper is to present an online tool for visualization and interactive improvement of the global forest certification product through collaborative mapping, aiming at a range of stakeholders including third-party certifiers, green NGOs, forestry organizations, decision-makers, scientists and local experts. Such an approach can help to make more accurate information on forest certification available, promote the sharing of data and encourage more transparent and sustainable forest management, i.e. both producers and users can benefit from this online tool. © 2017

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Держатели документа:
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg, Austria
Mercator Research Institute on Global Commons and Climate Change (MCC), Torgauer Str. 12–15, Berlin, Germany
Norwegian University of Life Sciences (NMBU), School of Economics and Business, Box 5003, Aas, Norway
Austrian Research and Training Centre for Forests, Natural Hazards and Landscape, Seckendorff-Gudent-Weg 8, Vienna, Austria
Shinshu University, Cooperative Research Center, 4-17-1 Wakasato, Nagano, Japan
Sukachev Institute of Forest, Russian Academy of Sciences, Siberian Branch, Akademgorodok 50/28, Krasnoyarsk, Russian Federation
Mytischi filial of Bauman Moscow State Technical University, Institutskaya, 1, Mytishchi, Russian Federation

Доп.точки доступа:
Kraxner, F.; Schepaschenko, D.; Fuss, S.; Lunnan, A.; Kindermann, G.; Aoki, K.; Durauer, M.; Shvidenko, A.; See, L.

    Non-English languages enrich scientific knowledge: The example of economic costs of biological invasions
/ E. Angulo, C. Diagne, L. Ballesteros-Mejia [et al.] // Sci. Total Environ. - 2021. - Vol. 775. - Ст. 144441, DOI 10.1016/j.scitotenv.2020.144441. - Cited By :2 . - ISSN 0048-9697

Кл.слова (ненормированные):
Ecological bias -- InvaCost -- Knowledge gaps -- Management -- Native languages -- Stakeholders -- Cost benefit analysis -- Cost estimating -- Data transfer -- Biological invasion -- Ecological bias -- Economic costs -- Invacost -- Knowledge gaps -- Native language -- Non-English languages -- Scientific data -- Scientific knowledge -- Stakeholder -- Database systems -- academic performance -- communication -- cost analysis -- data acquisition -- data management -- data set -- database -- global perspective -- invasive species -- knowledge based system -- language -- performance assessment -- policy making -- stakeholder -- appendix -- article -- data completeness -- ecological fallacy -- Europe -- human -- human experiment -- introduced species -- invasive species -- language -- nonhuman -- physician -- species invasion

Аннотация: 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. © 2021 The Authors

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Держатели документа:
Universite Paris-Saclay, CNRS, AgroParisTech, Ecologie Systematique Evolution, Orsay, 91405, France
Institut de Recherche pour le Developpement, Centre de Biologie pour la Gestion des Populations, UMR IRD-INRAE-CIRAD-Institut Agro, Montferrier-sur-Lez, 34988, France
Centre for Applied Mathematics and Bioinformatics, Department of Mathematics and Natural Sciences, Gulf University for Science and Technology, Hawally, 32093, Kuwait
Russian Plant Quarantine Center, Krasnoyarsk Branch, Krasnoyarsk, 660075, Russian Federation
School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
Centro de Estudos Geograficos, Instituto de Geografia e Ordenamento do Territorio – IGOT, Universidade de Lisboa, Rua Branca Edmee Marques, Lisboa, 1600-276, Portugal
Department of Animal Biology, Sciences and Technics Faculty, Cheikh Anta DIOP University, B.P. Dakar, 5005, Senegal
Grupo de Ecologia de Invasiones, INIBIOMA, CONICET/Universidad Nacional del Comahue, Av. de los Pioneros 2350, Bariloche, 8400, Argentina
Department of Community Ecology, Helmholtz-Centre for Environmental Research – UFZ, Halle (Saale), 06120, Germany
Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Gelnhausen, 63571, Germany
University of South Bohemia in Ceske Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Vodnany, 389 25, Czech Republic
Programa de Pos-Graduacao em Ecologia Aplicada, Departamento de Ecologia e Conservacao, Instituto de Ciencias Naturais, Universidade Federal de Lavras – UFLA, Lavras, Minas Gerais 37200-900, Brazil
Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Federal Research Center «Krasnoyarsk Science Center SB RAS», Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, 660041, Russian Federation
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 O, 6705, Denmark
Institute of Marine Biological Resources and Inland Waters, Hellenic Center for Marine Research, Athens, 16452, Greece
Institute of Biology, Freie Universitat 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
Universite de Rennes, CNRS, EcoBio (Ecosystemes, biodiversite, evolution) - UMR 6553, Rennes, 35000, France
Institut Universitaire de France, Paris Cedex 05, 75231, France
MIVEGEC, IRD, CNRS, Universite Montpellier, Montpellier, 34394, France
Departement de Biologie, Faculte des Sciences, Universite Chouaib Doukkali, El Jadida, 24000, Morocco
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
Forestry and Forest Products Research Institute, Tsukuba, Ibaraki 305-8687, Japan
College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China

Доп.точки доступа:
Angulo, E.; Diagne, C.; Ballesteros-Mejia, L.; Adamjy, T.; Ahmed, D. A.; Akulov, E.; Banerjee, A. K.; Capinha, C.; Dia, C. A.K.M.; Dobigny, G.; Duboscq-Carra, V. G.; Golivets, M.; Haubrock, P. J.; Heringer, G.; Kirichenko, N.; Kourantidou, M.; Liu, C.; Nunez, M. A.; Renault, D.; Roiz, D.; Taheri, A.; Verbrugge, L. N.H.; Watari, Y.; Xiong, W.; Courchamp, F.

    Non-English languages enrich scientific knowledge: The example of economic costs of biological invasions
/ E. Angulo, C. Diagne, L. Ballesteros-Mejia [et al.] // Sci. Total Environ. - 2021. - Vol. 775. - Ст. 144441, DOI 10.1016/j.scitotenv.2020.144441. - Cited References:38. - This work was supported by the French National Research Agency (ANR-14-CE02-0021) and the BNP-Paribas Foundation Climate Initiative for the InvaCost project that allowed the construction of the InvaCost database; the AXA Research Fund Chair of Invasion Biology of University Paris Saclay (EA and LBM contracts) and BiodivERsA and Belmont-Forum call 2018 on biodiversity scenarios -"Alien Scenarios" (theworkshopwhere thisworkwas initiated, andMG and CD contracts, BMBF/PT DLR 01LC1807C); Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (Capes) (Finance code 001, GH contract); Russian Foundation for Basic Research (grant number 19-04-01028-a); InEE-CNRS who supports the network GdR 3647 `Invasions Biologiques', the French Polar Institute Paul-Emile Victor (Project IPEV 136 `Subanteco'), and the national nature reserve of the French southern lands (RN-TAF); Portuguese National Funds through Fundacao para a Ciencia e a Tecnologia (grant numbers CEECIND/02037/2017; UIDB/00295/2020 and UIDP/00295/2020); Kuwait Foundation for the Advancement of Sciences (KFAS) (grant number PR1914SM-01) and the Gulf University for Science and Technology (GUST) internal seed fund (grant number 187092). . - ISSN 0048-9697. - ISSN 1879-1026
РУБ Environmental Sciences
Рубрики:
DATABASE
   SCIENCE

   PUBLISH

Кл.слова (ненормированные):
Ecological bias -- Management -- Knowledge gaps -- InvaCost -- Native languages -- Stakeholders

Аннотация: 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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Держатели документа:
Univ Paris Saclay, Ecol Systemat Evolut, AgroParisTech, CNRS, F-91405 Orsay, France.
UMR IRD INRAE CIRAD Inst Agro, Inst Rech Dev, Ctr Biol Gest Populat, F-34988 Montferrier Sur Lez, France.
Gulf Univ Sci & Technol, Ctr Appl Math & Bioinformat, Dept Math & Nat Sci, Hawally 32093, Kuwait.
Russian Plant Quarantine Ctr, Krasnoyarsk Branch, Krasnoyarsk 660075, Russia.
Sun Yat Sen Univ, Sch Life Sci, Guangzhou 510275, Guangdong, Peoples R China.
Univ Lisbon, Ctr Estudos Geog, Inst Geog & Ordenamento Terr IGOT, Rua Branca Edmee Marques, P-1600276 Lisbon, Portugal.
Cheikh Anta DIOP Univ, Sci & Tech Fac, Dept Anim Biol, Dakar 5005, Senegal.
Univ Nacl Comahue, INIBIOMA, Grp Ecol Invas, CONICET, Av Pioneros 2350, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
UFZ Helmholtz Ctr Environm Res, Dept Community Ecol, D-06120 Halle, Saale, Germany.
Senckenberg Res Inst, D-63571 Gelnhausen, Germany.
Nat Hist Museum Frankfurt, Dept River Ecol & Conservat, D-63571 Gelnhausen, Germany.
Univ South Bohemia Ceske Budejovice, Fac Fisheries & Protect Waters, South Bohemian Res Ctr Aquaculture & Biodivers Hy, Vodnany 38925, Czech Republic.
Univ Fed Lavras UFLA, Inst Ciencias Nat, Dept Ecol & Conservacao, BR-37200900 Lavras, MG, Brazil.
Russian Acad Sci, Krasnoyarsk Sci Ctr SB RAS, Sukachev Inst Forest, Siberian Branch,Fed Res Ctr, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Woods Hole Oceanog Inst, Marine Policy Ctr, Woods Hole, MA 02543 USA.
Univ Southern Denmark, Dept Sociol Environm & Business Econ, DK-6705 Esbjerg O, Denmark.
Hellen Ctr Marine Res, Inst Marine Biol Resources & Inland Waters, Athens 16452, Greece.
Free Univ Berlin, Inst Biol, D-14195 Berlin, Germany.
Leibniz Inst Freshwater Ecol & Inland Fisheries I, D-12587 Berlin, Germany.
Berlin Brandenburg Inst Adv Biodivers Res BBIB, D-14195 Berlin, Germany.
Univ Rennes, EcoBio Ecosyst Biodiversite Evolut, CNRS, UMR 6553, F-35000 Rennes, France.
Inst Univ France, F-75231 Paris 05, France.
Univ Montpellier, CNRS, MIVEGEC, IRD, F-34394 Montpellier, France.
Univ Chouaib Doukkali, Fac Sci, Dept Biol, El Jadida 24000, Morocco.
Univ Helsinki, Fac Agr & Forestry, Dept Forest Sci, Helsinki 00014, Finland.
Aalto Univ, Dept Built Environm, Water & Dev Res Grp, FI-00076 Aalto, Finland.
Forestry & Forest Prod Res Inst, Tsukuba, Ibaraki 3058687, Japan.
Guangdong Ocean Univ, Coll Fisheries, Zhanjiang 524088, Peoples R China.

Доп.точки доступа:
Angulo, Elena; Diagne, Christophe; Ballesteros-Mejia, Liliana; Adamjy, Tasnime; Ahmed, Danish A.; Akulov, Evgeny; Banerjee, Achyut K.; Capinha, Cesar; Dia, Cheikh A. K. M.; Dobigny, Gauthier; Duboscq-Carra, Virginia G.; Golivets, Marina; Haubrock, Phillip J.; Heringer, Gustavo; Kirichenko, Natalia; Kourantidou, Melina; Liu, Chunlong; Nunez, Martin A.; Renault, David; Roiz, David; Taheri, Ahmed; Verbrugge, Laura N. H.; Watari, Yuya; Xiong, Wen; Courchamp, Franck; Verbrugge, Laura; French National Research AgencyFrench National Research Agency (ANR) [ANR-14-CE02-0021]; BNP-Paribas Foundation Climate Initiative; AXA Research Fund Chair of Invasion Biology of University Paris Saclay; BiodivERsA and Belmont-Forum call 2018 on biodiversity scenarios -"Alien Scenarios" [BMBF/PT DLR 01LC1807C]; Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (Capes)Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [001]; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-04-01028-a]; InEE-CNRS; French Polar Institute Paul-Emile Victor [IPEV 136]; national nature reserve of the French southern lands; Portuguese National Funds through Fundacao para a Ciencia e a Tecnologia [CEECIND/02037/2017, UIDB/00295/2020, UIDP/00295/2020]; Kuwait Foundation for the Advancement of Sciences (KFAS) [PR1914SM-01]; Gulf University for Science and Technology (GUST) internal seed fund [187092]

    Economic costs of biological invasions in Asia
/ C. L. Liu, C. Diagne, E. Angulo [et al.] // NeoBiota. - 2021. - Vol. 67. - P53-78, DOI 10.3897/neobiota.67.58147. - Cited References:48. - We are grateful to Haigen Xu for providing data on economic costs. We want to acknowledge all environmental managers, national officials, practitioners and researchers who kindly answered our request for information about the costs of invasive species. We sincerely thank Darren Yeo, Kit Magellan and two anonymous referees for their constructive comments that significantly improved our manuscript. The authors acknowledge the French National Research Agency (ANR-14-CE02-0021) and the BNP-Paribas Foundation Climate Initiative for funding the InvaCost project that allowed the construction of the InvaCost database. The present work was conducted following a workshop funded by the AXA Research Fund Chair of Invasion Biology and is part of the AlienScenario project funded by BiodivERsA and Belmont-Forum call 2018 on biodiversity scenarios. CL was sponsored by the PRIME programme of the German Academic Exchange Service (DAAD) with funds from the German Federal Ministry of Education and Research (BMBF). NK was partially supported by the basic project of Sukachev Institute of Forest SB RAS (project No. 0287-2021-0011) [national literature survey], the Russian Foundation for Basic Research (project No. 19-04-01029-A) [InvaCost database contribution] and the Ministry of Education and Science of the Russian Federation (project No. FEFE-2020-0014) [data analysis]. RC acknowledges funding from the Alexander von Humboldt Foundation. CD was funded by the BiodivERsA-Belmont Forum Project "AlienScenarios" (BMBF/PT DLR 01LC1807C). Funds for EA contract come from the AXA Research Fund Chair of Invasion Biology of University Paris Saclay. . - ISSN 1619-0033. - ISSN 1314-2488
РУБ Biodiversity Conservation + Ecology

Кл.слова (ненормированные):
Economic damages -- InvaCost -- invasive alien species -- monetary losses -- non-English data -- non-native species

Аннотация: Invasive species have caused severe impacts on biodiversity and human society. Although the estimation of environmental impacts caused by invasive species has increased in recent years, economic losses associated with biological invasions are only sporadically estimated in space and time. In this study, we synthesized the losses incurred by invasions in Asia, based on the most comprehensive database of economic costs of invasive species worldwide, including 560 cost records for 88 invasive species in 22 countries. We also assessed the differences in economic costs across taxonomic groups, geographical regions and impacted sectors, and further identified the major gaps of current knowledge in Asia. Reported economic costs of biological invasions were estimated between 1965 and 2017, and reached a total of US$ 432.6 billion (2017 value), with dramatic increases in 2000-2002 and in 2004. The highest costs were recorded for terrestrial ectotherms, for species estimated in South Asia, and for species estimated at the country level, and were related to more than one impacted sector. Two taxonomic groups with the highest reported costs were insects and mammals, and two countries with the highest costs were India and China. Non-English data covered all of 12 taxonomic groups, whereas English data only covered six groups, highlighting the importance of considering data from non-English sources to have a more comprehensive estimation of economic costs associated with biological invasions. However, we found that the estimation of economic costs was lacking for most Asian countries and for more than 96% of introduced species in Asia. Further, the estimation is heavily biased towards insects and mammals and is very limited concerning expenditures on invasion management. To optimize the allocation of limited resources, there is an important need to better and more widely study the economic costs of invasive alien species. In this way, improved cost reporting and more collaborations between scientists and stakeholders are needed across Asia.

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Держатели документа:
Free Univ Berlin, Inst Biol, Berlin, Germany.
Leibniz Inst Freshwater Ecol & Inland Fisheries I, Berlin, Germany.
Berlin Brandenburg Inst Adv Biodivers Res BBIB, Berlin, Germany.
Univ Paris Saclay, CNRS, AgroParisTech, Ecol Systemat Evolut, Orsay, France.
Sun Yat Sen Univ, Sch Life Sci, Guangzhou, Peoples R China.
Chinese Acad Sci, Inst Hydrobiol, Lab Biol Invas & Adapt Evolut, Wuhan, Peoples R China.
GEOMAR Helmholtz Zentrum Ozeanforsch Kiel, Kiel, Germany.
Senckenberg Res Inst, Gelnhausen, Germany.
Nat Hist Museum Frankfurt, Dept River Ecol & Conservat, Gelnhausen, Germany.
Univ South Bohemia Ceske Budejovice, Fac Fisheries & Protect Waters, South Bohemian Res Ctr Aquaculture & Biodivers Hy, Vodnany, Czech Republic.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Fed Res Ctr,Krasnoyarsk Sci Ctr SB RAS, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk, Russia.
Newcastle Univ, Sch Nat & Environm Sci, Modelling Evidence & Policy Grp, Newcastle Upon Tyne, Tyne & Wear, England.
Forestry & Forest Prod Res Inst, 1 Matsunosato, Tsukuba, Ibaraki, Japan.
Guangdong Ocean Univ, Coll Fisheries, Zhanjiang, Peoples R China.

Доп.точки доступа:
Liu, Chunlong; Diagne, Christophe; Angulo, Elena; Banerjee, Achyut-Kumar; Chen, Yifeng; Cuthbert, Ross N.; Haubrock, Phillip J.; Kirichenko, Natalia; Pattison, Zarah; Watari, Yuya; Xiong, Wen; Courchamp, Franck; French National Research AgencyFrench National Research Agency (ANR) [ANR-14-CE02-0021]; BNP-Paribas Foundation Climate Initiative; AXA Research Fund Chair of Invasion Biology; BiodivERsA and Belmont-Forum call 2018 on biodiversity scenarios; PRIME programme of the German Academic Exchange Service (DAAD)Deutscher Akademischer Austausch Dienst (DAAD); German Federal Ministry of Education and Research (BMBF)Federal Ministry of Education & Research (BMBF); Sukachev Institute of Forest SB RAS [0287-2021-0011]; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-04-01029-A]; Ministry of Education and Science of the Russian FederationMinistry of Education and Science, Russian Federation [FEFE-2020-0014]; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; BiodivERsA-Belmont Forum Project "AlienScenarios" [BMBF/PT DLR 01LC1807C]; AXA Research Fund Chair of Invasion Biology of University Paris Saclay