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

w10=
Найдено документов в текущей БД: 11

    Экономика живого: Оптимизационный подход к описанию процессов в экологических сообществах и системах
= Economics of living things: Optimizing approach in the description of processes in ecological communities and systems / В.Г. Суховольский; Отв. ред. Р.Г. Хлебопрос. - Новосибирск : Наука, 2004. - 140 с. : рис., табл. - рус. - Библиогр.: с. 136-138. - ISBN 5-02-032082-Х : Б. ц.


Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50 стр. 28

Доп.точки доступа:
Отв. ред. Р.Г. Хлебопрос; Khlebopros Rem Grigog'yevich; Soukhovolsky, Vladislav Grigor'yevich
Свободных экз. нет
   РСФ
   M24

    Management of sustainable forestry in Krasnoyarsk Region: social, economic and environmental aspects of the forest use
[Текст] : монография / A. P. Laletin [и др.]. ; ред. A. P. Laletin ; V.N. Sukachev Institute of Forest of the Siberian Branch Russian Academy of Sciences (SB RAS), Krasnoyarsk Regional Ecological Public Movement "Friends of the Siberian Forests". - Krasnoyarsk : Publishing house "Darma-pechat", 2011. - 122 с. : ил., табл. - Библиогр.: с. 115-122. - ISBN 978-5-903055-27-2 : Б. ц.

Аннотация: The result of studies the recommendations in forest utilization and forest policy spheres have been developed taking into account economical demands and ecological limitations for the near period and perspective. This book is intended for specialists of foirest management, forest inventory, forestry, economics and nature protection as well as for forest sector workers, also for teachers and students of forest-technical, technological, polytechnic, agricultural high schools and biological faculties in universities.


Доп.точки доступа:
Laletin , A.P.; Sokolov, V.A.; Onuchin, A.A.; Vtyurina, O.P.; Laletin, A.A.; Laletin, A.P. \ред.\
Экземпляры всего: 1
РСФ (1)
Свободны: РСФ (1)

    Competitive Strength Effect in the Climate Response of Scots Pine Radial Growth in South-Central Siberia Forest-Steppe
/ E. A. Babushkina [et al.] // Tree-Ring Res. - 2015. - Vol. 71, Is. 2. - P106-117, DOI 10.3959/1536-1098-71.2.106 . - ISSN 1536-1098

Кл.слова (ненормированные):
age trend -- climate response -- cluster analysis -- competitive strength -- forest-steppe zone -- Scots pine -- tree-ring width

Аннотация: This paper presents a method for classification of trees in groups depending on parameters of the age trend in tree-ring width. The method is tested on a sample containing 194 trees of Scots pine (Pinus sylvestris L.) growing in the forest-steppe zone of the South of Central Siberia. The climatic response of tree-ring width in such climatic conditions is complex. The influence of temperature in May-September is negative (moisture reducing). Warm-season precipitation serving as a source of moisture is a positive factor. Another positive factor is cold-season precipitation as frost protection. We determined the dependence of this response on the local conditions (soil, landscape and anthropogenic factors). The competitive strength of the trees influences both the sensitivity of individual trees to extreme climatic factors and the timing of growth processes. The latter implies the duration of the period of significant response to climate. It appears promising to take this influence into account in dendroclimatic reconstructions by using separate clusters of trees based on the competitive strength and having the maximum response to the reconstructed factor. Copyright © 2015 by The Tree-Ring Society.

Scopus,
WOS

Держатели документа:
Khakasia Technical Institute, Siberian Federal University, Shchetinkina St. 27, Abakan, Russian Federation
Institute of Economics, Management and Environmental Studies, Siberian Federal University, Pr. Svobodniy 79, Krasnoyarsk, Russian Federation
V. N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50/28, Krasnoyarsk, Russian Federation
Institute of Economics and Trade, Siberian Federal University, L. Prushinskoi St. 2, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Babushkina, E.A.; Vaganov, E.A.; Belokopytova, L.V.; Shishov, V.V.; Grachev, A.M.

    Assessment of Central Siberia Forest Ecosystems Sustainability to Forest Fires: Academic Research Outcomes
[Text] / N. Koshurnikova [et al.] ; ed.: N. . Popov, O. . Chigisheva // WORLDWIDE TRENDS IN THE DEVELOPMENT OF EDUCATION AND ACADEMIC RESEARCH : ELSEVIER SCIENCE BV, 2015. - Vol. 214: Worldwide trends dev educ acad res (JUN 15-18, 2015, Sofia, BULGARIA). - P1008-1018. - (Procedia Social and Behavioral Sciences), DOI 10.1016/j.sbspro.2015.11.694. - Cited References:10 . -
РУБ Education & Educational Research
Рубрики:
EMISSIONS
Кл.слова (ненормированные):
forest fire monitoring -- forest regeneration -- meteorological -- observations -- physical inventory -- GIS

Аннотация: The majority of negative consequences caused by extreme and natural hazards are qualified as weather and climate-related emergency situations. Programs and measures developed to reduce climate risks for economics should be based on scientific background, R&D projects and ongoing monitoring. Fire has always been remained as the main natural factor devastating forest ecosystems and outlining the status and resource potential of boreal forests. Extremely drought - afflicted hot summer and dry cold winter trigger the risks and consequences of forest fires thus affecting wildlife biodiversity and forest ecosystems performance in terms of CO2 accumulation from the atmosphere. Multifunctional and sustainable forest management in extreme natural conditions should be initiated on reliable (scientifically-proven) evaluation of ecological and resource potential of the forests with economically-effective approach developed to enhance sustainability of ecosystems to fires and insect invasion. (C) 2015 The Authors. Published by Elsevier Ltd.

WOS,
Смотреть статью

Держатели документа:
Siberian Fed Univ, Krasnoyarsk, Russia.
RAS, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Siberian State Technol Univ, Krasnoyarsk, Russia.
WWF, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Koshurnikova, Nataly; Verkhovets, Sergey; Antamoshkina, Olga; Trofimova, Nataly; Zlenko, Lyudmila; Zhuikov, Andrey; Popov, N... \ed.\; Chigisheva, O... \ed.\

    DROUGHT-INDUCED MODIFICATIONS IN THE VASCULAR SYSTEMS OF TERTIARY RELICTS VACCINIUM ARCTOSTAPHYLOS, RHODODENDRON PONTICUM AND ILEX COLCHICA (STRANDJA, BULGARIA)
/ A. Tashev [et al.] // ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION CONFERENCE PROCEEDINGS, : STEF92 TECHNOLOGY LTD, 2016. - 16th International Multidisciplinary Scientific Geoconference (SGEM (JUN 30-JUL 06, 2016, Albena, BULGARIA). - P263-270. - (International Multidisciplinary Scientific GeoConference-SGEM). - Cited References:11 . -
РУБ Ecology + Engineering, Environmental

Кл.слова (ненормированные):
conductive system in xylem -- Vaccinium arctostaphylos -- Rhododendron -- ponticum -- Ilex colchica -- climate impact -- Strandja

Аннотация: As is clear from weather data, the climate of the inner Strandja, Bulgaria, has grown dryer since 1970. As a result, some relic species having low environmental adaptation potential either have been subjected to the risk of mortality from drought, or have migrated upward, to more humid conditions. The aim of our work was to reveal the effect of recent climatic changes on the vascular systems of relic Vaccinium arctostaphylos L., Rhododendron ponticum L. and Ilex colchica Poj. growing in Strandja. These species are recognized to need conservation. The xylem features were studied by Image Analysis set-up using the dated cross sections of the woody samples. Vessel characters were measured ring by ring. Correlations were calculated between the chronologies of the vessel parameters (mean vessel area and vessel density per a growth ring) and daily average temperature and precipitation recorded at Burgas weather station. These correlations were analyzed using a 20-day moving window technique whereby the climatic variables were shifted at 10-day steps from April 1-st to October 30. It was revealed that from 1996 to 2008, V. arctostaphylos mean vessel area, S, (mu m(2)) was rising while the mean vessel density, N/mm(2), was dropping. The same trends but at considerably lower rates were revealed for R. ponticum in 2001-2008. In I. colchica, the former feature, on the contrary, dropped slightly and the latter rose in 2004-2008. In all three species, relative water conductive area within a growth ring, sw (sum of the vessel areas located in the growth ring /growth ring area), remained constant in R. ponticum, on the contrary, dropped slightly in V. arctostaphylos and rose in I. colchica. Climate signals recorded in vessels showed that April-May air temperatures influenced in xylem of all three species, while June-July temperatures influenced only archaic R. ponticum and V. arctostaphylos. Spring (April) and summer (June 20 - July 10) precipitation had significant positive effect only on these two species but not on I. colchica. The results clearly showed V arctostaphylos, the most ancient species, were extremely vulnerable to unfavorable climate. When available water diminishes and transpiration rises, increasing vessel area is unfavorable for plant health, because it makes embolism in vascular system highly probable.

WOS

Держатели документа:
Univ Forestry, Sofia, Bulgaria.
RAS, VN Sukachev Inst Forest, SB, Krasnoyarsk, Russia.

Доп.точки доступа:
Tashev, Alexander; Benkova, Vera; Benkova, Anna; Tashev, Nikolai

    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

Scopus,
Смотреть статью,
WOS

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.

    Modeling production processes in forest stands: An adaptation of the Solow growth model
/ V. Soukhovolsky, Y. Ivanova // Forests. - 2018. - Vol. 9, Is. 7, DOI 10.3390/f9070391 . - ISSN 1999-4907
Аннотация: The model of forest stand growth proposed in this study is based on R. Solow's model of economic growth. The variables introduced into the model are the "capital" (the phytomass of the non-synthesizing tree components in the stand-the stem, roots, and branches) and the "labor" (the phytomass of the photosynthesizing tree components in the stand-leaves or needles). Root phytomass is calculated with a special independent model. The process of energy production by the trees is described with the Cobb-Douglas equation. The proposed approach is used to describe growth processes in the forest stands comprising various species in Siberia and the age dynamics of net primary production. The model can explain a number of effects (such as death of the forest stand after the needles have been consumed by defoliating insects) that cannot be explained by standard logistic models. © 2018 by the authors.

Scopus,
Смотреть статью,
WOS

Держатели документа:
Sukachev Institute of Forest SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Akademgorodok 50-28, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Akademgorodok 50-50, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Soukhovolsky, V.; Ivanova, Y.

    Reliability and integrity of forest sector statistics—a major constraint to effective forest policy in Russia
/ A. I. Pyzhev, R. V. Gordeev, E. A. Vaganov // Sustainability. - 2021. - Vol. 13, Is. 1. - Ст. 86. - P1-11, DOI 10.3390/su13010086 . - ISSN 2071-1050
Аннотация: Russia owns one?fifth of the world’s forest?covered area but has never been the leader of the global forest sector nor in gross output or relative productivity. The issues of the Russian forest sector have attracted research attention, but for many topics, this is still a green field on the map of sectoral studies. We developed a novel approach to understand the primary causes of the ineffi-ciency of the Russian forest policy through the qualitative assessment of completeness and reliability of forest sector?related data. The main output of this paper is a thorough overview of the available sources of data with an assessment of their quality, completeness and reliability. We show that the Russian official forest sector statistics provide only basic indicators for very short periods with few observations being incomplete and inconsistent. Besides a critical analysis of the official statis-tics, we also discover some known, but still underemployed, resources of information on the Russian forest sector: textual information of official public bodies and companies, accounting records, remote?sensing data, etc. Finally, we discuss the possible ways to improve the data procurement of the forest sector in Russia to support future decision?making. We are convinced that a prerequisite for the implementation of effective forest policy in Russia is a significant expansion and improvement of the volume and quality of statistics on the dynamics of Russian forests and forest economy. Integration of existing and new data sources is necessary to achieve synergistic effects, both in terms of deepening the understanding of key business processes in the industry and in the sense of solving strategic tasks of its development. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Scopus

Держатели документа:
Siberian Federal University, School of Economics, Public Administration and Finance (A.I.P., R.V.G.), School of Ecology and Geography (E.A.V.), Krasnoyarsk, 660041, Russian Federation
Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation
V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Pyzhev, A. I.; Gordeev, R. V.; Vaganov, E. A.

    Reliability and Integrity of Forest Sector Statistics-A Major Constraint to Effective Forest Policy in Russia
/ A. I. Pyzhev, R. V. Gordeev, E. A. Vaganov // Sustainability. - 2021. - Vol. 13, Is. 1. - Ст. 86, DOI 10.3390/su13010086. - Cited References:42. - This research was funded by the Ministry of Science and Higher Education of the Russian Federation within the framework of grant for large scientific projects in priority directions of scientific and technological development no. 075-15-2020-804/13.1902.21.0016 dated 02.10.2020 entitled "Socioeconomic development of Asian Russia based on the synergy of transport accessibility, system knowledge about natural resource potential, expanding space of inter-regional interactions". . - ISSN 2071-1050
РУБ Green & Sustainable Science & Technology + Environmental Sciences
Рубрики:
CLIMATE-CHANGE
   SCIENCE

Кл.слова (ненормированные):
forest economics -- forest products -- forestry -- statistics -- open data -- forest policy -- data sources -- Russia

Аннотация: Russia owns one-fifth of the world's forest-covered area but has never been the leader of the global forest sector nor in gross output or relative productivity. The issues of the Russian forest sector have attracted research attention, but for many topics, this is still a green field on the map of sectoral studies. We developed a novel approach to understand the primary causes of the inefficiency of the Russian forest policy through the qualitative assessment of completeness and reliability of forest sector-related data. The main output of this paper is a thorough overview of the available sources of data with an assessment of their quality, completeness and reliability. We show that the Russian official forest sector statistics provide only basic indicators for very short periods with few observations being incomplete and inconsistent. Besides a critical analysis of the official statistics, we also discover some known, but still underemployed, resources of information on the Russian forest sector: textual information of official public bodies and companies, accounting records, remote-sensing data, etc. Finally, we discuss the possible ways to improve the data procurement of the forest sector in Russia to support future decision-making. We are convinced that a prerequisite for the implementation of effective forest policy in Russia is a significant expansion and improvement of the volume and quality of statistics on the dynamics of Russian forests and forest economy. Integration of existing and new data sources is necessary to achieve synergistic effects, both in terms of deepening the understanding of key business processes in the industry and in the sense of solving strategic tasks of its development.

WOS

Держатели документа:
Siberian Fed Univ, Sch Econ, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Inst Econ & Ind Engn, Siberian Branch, Novosibirsk 630090, Russia.
Siberian Fed Univ, Sch Ecol & Geog, Krasnoyarsk 660041, Russia.
Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Pyzhev, Anton I.; Gordeev, Roman V.; Vaganov, Eugene A.; Ministry of Science and Higher Education of the Russian Federation [075-15-2020-804/13.1902.21.0016]

    Evaluating DNA Barcoding for Species Identification and Discovery in European Gracillariid Moths
/ C. Lopez-Vaamonde, N. Kirichenko, A. Cama [et al.] // Front. Ecol. Evol. - 2021. - Vol. 9. - Ст. 626752, DOI 10.3389/fevo.2021.626752. - Cited References:88. - This work was funded by the Studium (France) to both NK and DL to work as research fellows at INRAE Orleans; the Russian Foundation for Basic Research (No. 19-04-01029-a) and the basic project of Sukachev Institute of Forest SB RAS (project No. 0287-2021-0011) to NK; the Region Centre (France) project ENDOFEED (201000047141) to CL-V; the Ministry of Agriculture (France) project PASSIFOR to CL-V and RR; the Academy of Finland (grant number: 277984) to MM and the Kvantum Institute to KL; Kone foundation, Finnish Cultural foundation for financing the FinBOL (Finnish Barcode of Life) 2011-2015, and the Academy of Finland for financing FinBOL through the FinBIF national infrastructure project since 2014; Agriculture & Agri-Food Canada, Science and Technology Branch (projects Nos. J-000977 and J-002279) to J-FL; Promotion of Educational Policies, University and Research Department of the Autonomous Province of Bolzano - South Tyrol and Austrian Federal Ministry of Science, Research and Economics in the framework of ABOL (Austrian Barcode of Life) to PH. CD's salary and all DNA sequencing at Naturalis Biodiversity Center was funded through the Dutch Economic Restructuring Fund (FES). AS was supported by the Bavarian Ministry of Science and Art (Germany) project BFB and the Federal Ministry of Education and Research (Germany) project GBOL. Funding for DNA barcoding was also partly provided by the Government of Canada through Genome Canada, the Ontario Genomics Institute in support of the International Barcode of Life project, and by the National Science and Engineering Research Council of Canada. . - ISSN 2296-701X
РУБ Ecology

Кл.слова (ненормированные):
barcode index number -- cryptic diversity -- Gracillariidae -- Lepidoptera -- mitonuclear discordance -- new candidate species -- RAD sequencing -- Wolbachia

Аннотация: Gracillariidae is the most species-rich leaf-mining moth family with over 2,000 described species worldwide. In Europe, there are 263 valid named species recognized, many of which are difficult to identify using morphology only. Here we explore the use of DNA barcodes as a tool for identification and species discovery in European gracillariids. We present a barcode library including 6,791 COI sequences representing 242 of the 263 (92%) resident species. Our results indicate high congruence between morphology and barcodes with 91.3% (221/242) of European species forming monophyletic clades that can be identified accurately using barcodes alone. The remaining 8.7% represent cases of non-monophyly making their identification uncertain using barcodes. Species discrimination based on the Barcode Index Number system (BIN) was successful for 93% of species with 7% of species sharing BINs. We discovered as many as 21 undescribed candidate species, of which six were confirmed from an integrative approach; the other 15 require additional material and study to confirm preliminary evidence. Most of these new candidate species are found in mountainous regions of Mediterranean countries, the South-Eastern Alps and the Balkans, with nine candidate species found only on islands. In addition, 13 species were classified as deep conspecific lineages, comprising a total of 27 BINs with no intraspecific morphological differences found, and no known ecological differentiation. Double-digest restriction-site associated DNA sequencing (ddRAD) analysis showed strong mitonuclear discrepancy in four out of five species studied. This discordance is not explained by Wolbachia-mediated genetic sweeps. Finally, 26 species were classified as "unassessed species splits" containing 71 BINs and some involving geographical isolation or ecological specialization that will require further study to test whether they represent new cryptic species.

WOS

Держатели документа:
URZF, INRAE, Orleans, France.
Univ Tours, IRBI, UMR 7261, CNRS, Tours, France.
RAS, SB, Sukachev Inst Forest, Fed Res Ctr,Krasnoyarsk Sci Ctr, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Univ Hawaii, Coll Trop Agr & Human Resources, Dept Plant & Environm Protect Sci, Honolulu, HI USA.
Nat Biodivers Ctr, Leiden, Netherlands.
Univ Oxford, Dept Zool, Oxford, England.
Penn State Univ, Dept Biol, University Pk, PA 16802 USA.
Gancani, Beltinci, Slovenia.
Tiroler Landesmuseen BetriebsgesmbH Sammlungs & F, Hall In Tirol, Austria.
Agr & Agri Food Canada, Ottawa Res & Dev Ctr, Ottawa, ON, Canada.
Mendel Univ Brno, Fac Agron, Brno, Czech Republic.
Univ Oulu, Ecol & Genet Res Unit, Oulu, Finland.
Nat Hist Museum, Dept Life Sci, London, England.
Staatliche Nat Wissensch Sammlungen Bayerns, Zool Staatssammlung Munchen SNSB ZSM, Munich, Germany.
Museo Civ Storia Nat, Zool, Verona, Italy.
Landesmuseum Karnten, Abt Zool Sammlungs & Wissensch Zentrum, Klagenfurt, Austria.
Univ Antilles, Inst Systemat Evolut Biodivers ISYEB, Museum Natl Hist Nat, CNRS,Sorbonne Univ,EPHE, Paris, France.

Доп.точки доступа:
Lopez-Vaamonde, Carlos; Kirichenko, Natalia; Cama, Alain; Doorenweerd, Camiel; Godfray, H. Charles J.; Guiguet, Antoine; Gomboc, Stanislav; Huemer, Peter; Landry, Jean-Francois; Lastuvka, Ales; Lastuvka, Zdenek; Lee, Kyung Min; Lees, David C.; Mutanen, Marko; van Nieukerken, Erik J.; Segerer, Andreas H.; Triberti, Paolo; Wieser, Christian; Rougerie, Rodolphe; Studium (France); Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-04-01029-a]; basic project of Sukachev Institute of Forest SB RAS [0287-2021-0011]; Region Centre (France) project ENDOFEED [201000047141]; Ministry of Agriculture (France) project PASSIFOR; Academy of FinlandAcademy of FinlandEuropean Commission [277984]; Kone foundation; Finnish Cultural foundationFinnish Cultural Foundation; Agriculture & Agri-Food Canada, Science and Technology Branch [J-000977, J-002279]; Promotion of Educational Policies, University and Research Department of the Autonomous Province of Bolzano - South TyrolPronvincia Autonoma di Bolzano; Austrian Federal Ministry of Science, Research and Economics in the framework of ABOL; Dutch Economic Restructuring Fund (FES); Bavarian Ministry of Science and Art (Germany) project BFB; Federal Ministry of Education and Research (Germany) project GBOL; Government of Canada through Genome CanadaGenome Canada; Ontario Genomics Institute in support of the International Barcode of Life project; National Science and Engineering Research Council of CanadaNatural Sciences and Engineering Research Council of Canada (NSERC); Kvantum Institute; Academy of FinlandAcademy of FinlandEuropean Commission

    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

Scopus

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.