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

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Найдено документов в текущей БД: 9

    Recognition of forest textures on airphotos
/ M. N. Favorskaya [et al.] // Proceedings of the IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010. - 2010. - IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010 (15 June 2010 through 18 June 2010, Novosibirsk) Conference code: 89100. - P9-14 . -
Аннотация: Recognition of forest and its state on airphotos is one of important problems of natural resources monitoring. Automatic interpretation of forest textures photos is also a complex task which isn't finally solved. In this paper we propose new method of forest textures recognition based on two-level procedure: (1) the pre-segmentation of airphoto based on image pyramid and definition of statistical similarity regions, and (2) the texture recognition using neural network of direct propagation with input complex fractal and statistical descriptors and the post-segmentation of airphoto. Application of additional methods of laser scanning permits to recognize trees using not only upper crowns but also their lateral surfaces. Thereby we can estimate morphological descriptors of leaves mass of trees analyzing the set of airphotos.

Scopus

Держатели документа:
Siberian State Aerospace University, pr. Krasnoyarsky rabochiy, 31, Krasnoyarsk, 660014, Russian Federation
Institute of Forest SB RAS, Akademgorodok, 50/28, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Favorskaya, M.N.; Petukhov, N.Y.; Danilin, I.M.; Danilin, A.I.

    Action of the atomic and electronic structure of pheromone molecules on the effectiveness of communication in xylophagous insects
[Text] / P. V. Artyushenko [et al.] // J. Struct. Chem. - 2016. - Vol. 57, Is. 2. - P287-293, DOI 10.1134/S0022476616020074. - Cited References:27. - This work was supported by RFBR projects Nos. 13-04-00375 and16-04-00132. . - ISSN 0022-4766. - ISSN 1573-8779
РУБ Chemistry, Inorganic & Nuclear + Chemistry, Physical

Аннотация: The B3LYD /6-31(p,d) density functional method is applied to pheromones of the forest xylophagous insects Ips typographus L., Monochamus urussovi Fisch., and Monochamus galloprovincialis Oliv. to calculate the absorption spectra and find excited states. The calculated results are used to assess the possible activity of the molecules when they are affected by solar radiation.

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Держатели документа:
Russian Acad Sci, Kirensky Inst Phys, Siberian Branch, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Russian Acad Sci, Siberian Branch, KSC Presidium, Int Res Ctr Studies Extreme States Organism, Krasnoyarsk, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk, Russia.

Доп.точки доступа:
Artyushenko, P. V.; Tomilin, F. N.; Kuzubov, A. A.; Ovchinnikov, S. G.; Tsikalova, P. E.; Ovchinnikova, T. M.; Soukhovolsky, V. G.; RFBR [13-04-00375, 16-04-00132]
630*181
С 66

    Состояние лесных экосистем в зоне воздействия воздушных эмиссий Норильского горно-металлургического комбината. Сообщение 1
[Текст] : статья / Рашид Асхатьевич Зиганшин, Виктор Иванович Воронин, Юрий Михайлович Карбаинов // Сибирский лесной журнал. - 2017. - : 3. - С. 47-59, DOI 10.15372/SJFS20170305 . - ISSN 2311-1410
   Перевод заглавия: Condition of forest ecosystems in the zone of aerial emissions'' impact of the norilsk mining and metallurgical industrial complex. First communication
УДК

Аннотация: На основании анализа литературных источников и материалов собственных исследований рассмотрена экологическая обстановка на п-ове Таймыр в связи с аэротехногенным воздействием Норильского горно-металлургического комбината (НГМК). Дана оценка динамики состояния лесов за последние десятилетия в полосе от непосредственной близости до 200 км и более от комбината. Анализ проведен с учетом ландшафтной структуры территории. Отмечено прогрессирующее с начала 80-х гг. усыхание больших массивов лесов. По литературным данным приводятся структура, динамика и распределение аэропромвыбросов предприятий Норильской горно-металлургической компании «Норильский никель», а по данным авторов рассматривается воздействие аэропромвыбросов Норильского промышленного района на лесные экосистемы Таймыра. Основное внимание уделено главной лесообразующей древесной породе - лиственнице сибирской Larix sibirica Ledeb. Отмечено полное отсутствие подроста лиственницы в зоне промышленного загрязнения. Изучение состояния техногенно поврежденных лесов проведено на основании дендрохронологических исследований в шести различных точках на разном расстоянии от г. Норильска, в основном южнее и восточнее металлургического комбината. Одна точка исследований (разреженное лиственничное сообщество) находится в 5 км северо-западнее Норильска. Исследовали насаждения разной степени поврежденности, в том числе полностью погибшие. Показано, что вне зоны влияния эмиссий НГМК не отмечено признаков повреждения листового аппарата деревьев, тогда как в зоне атмосферного загрязнения (оз. Хантайское) древостой в значительной степени пострадал. Главным повреждающим агентом служит двуокись серы.
In the study, based on the analysis of literary sources and the own research materials, the characteristic of the environmental situation in Taimyr is done, in connection with aerial technogenic impact of the Norilsk mining and metallurgical industrial complex. The dynamics of forest condition over the past decade in the area close to 200 km or more from the plant were evaluated. The analysis was performed taking into account the landscape structure of the territory. The progressive drying of the large areas of the northern forests since the early 80 is registered. In the article, according to the literature reviewed, the structure, dynamics and distribution of air industrial emissions of the Norilsk mining and metallurgical industrial complex «Norilsk Nickel» is analyzed and presented. Further, the authors considered the impact of air industrial emissions of Norilsk industrial region on the forest ecosystems of Taimyr. The focus is on the main forest-forming tree - Siberian larch Larix sibirica Ledeb. It is noted the complete absence of the larch undergrowth in the area of industrial pollution. Investigation of the technogenically damaged forests was carried out on the basis of dendrochronological research at six different points on different distances from the city of Norilsk, mainly to the south and east of the metallurgical plant. One study point (sparse larch community) is located 5 km north-west of Norilsk. We investigated stands of varying degrees of damage, including completely dead. It is shown, that outside the area of Norilsk mining and metallurgical industrial complex impact there were no signs of damage to the foliage of the trees and on the contrary, in the area of air pollution (Khantaiskoe Lake), forest stands are largely affected. The main damaging agent is sulfur dioxide.

РИНЦ

Держатели документа:
Государственный природный биосферный заповедник «Таймырский»
Институт леса им. В. Н. Сукачева СО РАН
Сибирский институт физиологии и биохимии растений СО РАН

Доп.точки доступа:
Зиганшин, Рашид Асхатьевич; Воронин, Виктор Иванович; Voronin V.I.; Карбаинов, Юрий Михайлович; Karbainov Yu. M.; Ziganshin R.A.

    Small fluctuations in cell wall thickness in pine and spruce xylem: Signal from cambium?
/ E. A. Vaganov, E. A. Babushkina, L. V. Belokopytova, D. F. Zhirnova // PLoS One. - 2020. - Vol. 15, Is. 5. - Ст. e0233106, DOI 10.1371/journal.pone.0233106. - Cited References:65. - This work was supported by the statutory activity of the Siberian Federal University and by the Russian Foundation for Basic Research (project no. 19-04-00274 A). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received for this study. . - ISSN 1932-6203
РУБ Multidisciplinary Sciences

Аннотация: In the conifer tree rings, each tracheid goes through three phases of differentiation before becoming an element of the stem water-conducting structure: division, extension, and cell wall thickening. These phases are long-lasting and separated temporally, especially cell wall thickening. Despite the numerous lines of evidence that external conditions affect the rate of growth processes and the final anatomical dimensions during the respective phases of tracheid differentiation, the influence of the environment on anatomical dimensions during the cell division phase (cambial activity) has not yet been experimentally confirmed. In this communication, we provide indirect evidence of such an effect through observations of the small fluctuations in the latewood cell wall thickness of rapidly growing tree rings, which exhibit a high cell production rate (more than 0.4 cells per day on average). Such small fluctuations in the cell wall thickness cannot be driven by variations in external factors during the secondary wall deposition phase, since this phase overlaps for several tens of latewood cells in the rings of fast-growing trees due to its long duration.

WOS

Держатели документа:
Siberian Fed Univ, Krasnoyarsk, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk, Russia.
Siberian Fed Univ, Khakass Tech Inst, Abakan, Russia.

Доп.точки доступа:
Vaganov, Eugene A.; Babushkina, Elena A.; Belokopytova, Liliana V.; Zhirnova, Dina F.; Siberian Federal University; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [19-04-00274 A]

    The biophysical climate mitigation potential of boreal peatlands during the growing season
/ M. Helbig, J. M. Waddington, P. Alekseychik [et al.] // Environ. Res. Lett. - 2020. - Vol. 15, Is. 10. - Ст. 104004, DOI 10.1088/1748-9326/abab34. - Cited References:109. - This work is part of the Boreal Water Futures project and supported through the Global Water Futures research program. We thank all the EC flux tower teams for sharing their data. We are grateful to Myroslava Khomik, Adam Green, Inke Forbrich, Eric Kessel, Gordon Drewitt, and Pasi Kolari for helping with data preparation and to Inke Forbrich on feedback on an earlier version of the manuscript.; I M acknowledges funding from ICOS-FINLAND (Grant 281255), Finnish Center of Excellence (Grant 307331), and EU Horizon-2020 RINGO project (Grant 730944). A P acknowledges funding through the research project #18-45-243003 (RFBR and Government of Krasnoyarsk Territory, Krasnoyarsk Regional Fund of Science) and support for flux tower sites RU-ZOP and RU-ZOB through the Max Planck Society. A D and J T acknowledges funding from US National Science foundation #DEB-1440297 and DOE Ameriflux Network Management Project award to ChEAS core site cluster. T A B, A G B, and R J acknowledge support received through grants from the Fluxnet Canada ResearchNetwork (2002-2007; NSERC, CFCAS, and BIOCAP) and the Canadian Carbon Program (2008-2012; CFCAS) and by an NSERC (Climate Change and Atmospheric Research) Grant to the Changing Cold Regions Network (CCRN; 2012-2016) and an NSERC Discovery Grant. H I and M U acknowledge support by the Arctic Challenge for Sustainability II (ArCS II) project (JPMXD1420318865). J K and A V acknowledge funding by RFBR project number 19-04-01234-a. B A acknowledges funding through NASA, NSERC, BIOCAP Canada, the Canadian Foundation for Climate and Atmospheric Sciences, and the Canadian Foundation for Innovation for flux measurements at CA-MAN and through the Canadian Forest Service, the Natural Sciences and Engineering Research Council of Canada (NSERC), the FLUXNET-Canada Network (NSERC, the Canadian Foundation for Climate and Atmospheric Sciences (CFCAS), and BIOCAP Canada), the Canadian Carbon Program (CFCAS), Parks Canada, and the Program of Energy Research and Development (PERD). O S acknowledges funding by the Canada Research Chairs, Canada Foundation for Innovation Leaders Opportunity Fund, and Natural Sciences and Engineering Research Council Discovery Grant Programs. L B F acknowledges funding from the Natural Sciences and Engineering Research Council of Canada (NSERC), the FLUXNET-Canada Network (NSERC, the Canadian Foundation for Climate and Atmospheric Sciences (CFCAS), and BIOCAP Canada), and the Canadian Carbon Program (CFCAS). M B N, M O L, M P, and J C gratefully acknowledge funding from the Swedish research infrastructures SITES and ICOS Sweden and research grants from Kempe Foundations, (#SMK-1743); VR (#2018-03966) and Formas, (#2016-01289) and M P gratefully acknowledges funding from Knut and Alice Wallenberg Foundation (#2015.0047).; M W acknowledge funding by the German Research Foundation (Grant Wi 2680/2-1) and the European Union (Grant 36993). B R K R and L K acknowledge support by the Cluster of Excellence 'CliSAP' (EXC177) of the University of Hamburg, funded by the German Research Foundation. H I acknowledges JAMSTEC and IARC/UAF collaboration study (JICS) and Arctic Challenge for Sustainability Project (ArCS). E H acknowledges the support of the FLUXNET-Canada Network, the Canadian Carbon Program, and Ontario Ministry of the Environment, Conservation and Parks. E L acknowledges funding by RFBR and Government of the KhantyMansi Autonomous Okrug -Yugra project #18-44-860017 and grant of the Yugra State University (13-01-20/39). M G and P T acknowledge NSERC funding (RDCPJ514218). M A, M K, A L. and J P T acknowledge the support by the Ministry of Transport and Communication through ICOS-Finland, Academy of Finland (grants 296888 and 308511), and Maj and Tor Nessling Foundation. T M acknowledge funding by Yakutian Scientific Center of Siberian Branch of Russian Academy of Sciences (Grant FWRS-2020-0012). . - ISSN 1748-9326
РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: Peatlands and forests cover large areas of the boreal biome and are critical for global climate regulation. They also regulate regional climate through heat and water vapour exchange with the atmosphere. Understanding how land-atmosphere interactions in peatlands differ from forests may therefore be crucial for modelling boreal climate system dynamics and for assessing climate benefits of peatland conservation and restoration. To assess the biophysical impacts of peatlands and forests on peak growing season air temperature and humidity, we analysed surface energy fluxes and albedo from 35 peatlands and 37 evergreen needleleaf forests-the dominant boreal forest type-and simulated air temperature and vapour pressure deficit (VPD) over hypothetical homogeneous peatland and forest landscapes. We ran an evapotranspiration model using land surface parameters derived from energy flux observations and coupled an analytical solution for the surface energy balance to an atmospheric boundary layer (ABL) model. We found that peatlands, compared to forests, are characterized by higher growing season albedo, lower aerodynamic conductance, and higher surface conductance for an equivalent VPD. This combination of peatland surface properties results in a similar to 20% decrease in afternoon ABL height, a cooling (from 1.7 to 2.5 degrees C) in afternoon air temperatures, and a decrease in afternoon VPD (from 0.4 to 0.7 kPa) for peatland landscapes compared to forest landscapes. These biophysical climate impacts of peatlands are most pronounced at lower latitudes (similar to 45 degrees N) and decrease toward the northern limit of the boreal biome (similar to 70 degrees N). Thus, boreal peatlands have the potential to mitigate the effect of regional climate warming during the growing season. The biophysical climate mitigation potential of peatlands needs to be accounted for when projecting the future climate of the boreal biome, when assessing the climate benefits of conserving pristine boreal peatlands, and when restoring peatlands that have experienced peatland drainage and mining.

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Держатели документа:
McMaster Univ, Sch Earth Environm & Soc, Hamilton, ON, Canada.
Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, Canada.
Univ Helsinki, Inst Atmospher & Earth Syst Res Phys, Fac Sci, Helsinki, Finland.
Nat Resources Inst Finland LUKE, Bioecon & Environm, Helsinki, Finland.
Univ Manitoba, Dept Soil Sci, Winnipeg, MB, Canada.
Finnish Meteorol Inst, Helsinki, Finland.
Environm & Climate Change Canada, Climate Res Div, Saskatoon, SK, Canada.
Univ Saskatchewan, Global Inst Water Secur, Saskatoon, SK, Canada.
Univ British Columbia, Fac Land & Food Syst, Vancouver, BC, Canada.
Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA.
Swedish Univ Agr Sci, Dept Forest Ecol & Management, Umea, Sweden.
Univ Wisconsin, Dept Atmospher Sci & Ocean Sci, Madison, WI USA.
Worcester State Univ, Dept Earth Environm & Phys, Worcester, MA USA.
Univ Alaska, Inst Arctic Biol, Fairbanks, AK 99775 USA.
Univ Lethbridge, Dept Biol Sci, Lethbridge, AB, Canada.
Univ Copenhagen, Dept Geosci & Nat Resource Management, Copenhagen, Denmark.
Univ Quebec Montreal Geotop, Montreal, PQ, Canada.
Swedish Univ Agr Sci, Dept Ecol, Uppsala, Sweden.
McGill Univ, Dept Geog, Montreal, PQ, Canada.
Lund Univ, Ctr Environm & Climate Res, Lund, Sweden.
Carleton Univ, Dept Geog & Environm Studies, Ottawa, ON, Canada.
Natl Agr & Food Res Org, Inst Agroenvironm Sci, Tsukuba, Ibaraki, Japan.
Univ Laval, Dept Genie Civil & Genie Eaux, Quebec City, PQ, Canada.
Shinshu Univ, Dept Environm Sci, Fac Sci, Matsumoto, Nagano, Japan.
Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Moscow, Russia.
Univ Hamburg, Inst Soil Sci, Hamburg, Germany.
Yugra State Univ, Ctr Environm Dynam & Climate Changes, Khanty Mansiysk, Russia.
Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden.
Wilfrid Laurier Univ, Cold Reg Res Ctr, Waterloo, ON, Canada.
Russian Acad Sci, Inst Biol Problems Cryolithozone, Siberian Branch, Yakutsk, Russia.
Nagoya Univ, Grad Sch Bioagr Sci, Nagoya, Aichi, Japan.
Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON, Canada.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst, Krasnoyarsk, Russia.
Univ Arkansas, Dept Biol & Agr Engn, Fayetteville, AR 72701 USA.
Univ Montreal, Dept Geog, Montreal, PQ, Canada.
Univ Montreal, Ctr Etud Nord, Montreal, PQ, Canada.
McGill Univ, Dept Nat Resource Sci, Ste Anne De Bellevue, PQ, Canada.
Univ Eastern Finland, Sch Forest Sci, Joensuu, Finland.
Osaka Prefecture Univ, Grad Sch Life & Environm Sci, Sakai, Osaka, Japan.
Univ Helsinki, Inst Atmospher & Earth Syst Res Forest Sci, Fac Agr & Forestry, Helsinki, Finland.
Ernst Moritz Arndt Univ Greifswald, Inst Bot & Landscape Ecol, Greifswald, Germany.
Univ Alberta, Dept Renewable Resources, Edmonton, AB, Canada.

Доп.точки доступа:
Helbig, Manuel; Waddington, James M.; Alekseychik, Pavel; Amiro, Brian; Aurela, Mika; Barr, Alan G.; Black, T. Andrew; Carey, Sean K.; Chen, Jiquan; Chi, Jinshu; Desai, Ankur R.; Dunn, Allison; Euskirchen, Eugenie S.; Flanagan, Lawrence B.; Friborg, Thomas; Garneau, Michelle; Grelle, Achim; Harder, Silvie; Heliasz, Michal; Humphreys, Elyn R.; Ikawa, Hiroki; Isabelle, Pierre-Erik; Iwata, Hiroki; Jassal, Rachhpal; Korkiakoski, Mika; Kurbatova, Juliya; Kutzbach, Lars; Lapshina, Elena; Lindroth, Anders; Lofvenius, Mikaell Ottosson; Lohila, Annalea; Mammarella, Ivan; Marsh, Philip; Moore, Paul A.; Maximov, Trofim; Nadeau, Daniel F.; Nicholls, Erin M.; Nilsson, Mats B.; Ohta, Takeshi; Peichl, Matthias; Petrone, Richard M.; Prokushkin, Anatoly; Quinton, William L.; Roulet, Nigel; Runkle, Benjamin R. K.; Sonnentag, Oliver; Strachan, Ian B.; Taillardat, Pierre; Tuittila, Eeva-Stiina; Tuovinen, Juha-Pekka; Turner, Jessica; Ueyama, Masahito; Varlagin, Andrej; Vesala, Timo; Wilmking, Martin; Zyrianov, Vyacheslav; Schulze, Christopher; ICOS-FINLAND [281255]; Finnish Center of Excellence [307331]; EU Horizon-2020 RINGO project [730944]; Government of Krasnoyarsk Territory, Krasnoyarsk Regional Fund of Science [18-45-243003]; RFBRRussian Foundation for Basic Research (RFBR) [18-45-243003, 19-04-01234-a]; Max Planck SocietyMax Planck SocietyFoundation CELLEX; US National Science foundationNational Science Foundation (NSF) [DEB-1440297]; DOE Ameriflux Network Management ProjectUnited States Department of Energy (DOE); Fluxnet Canada ResearchNetwork (2002-2007; NSERC); Fluxnet Canada ResearchNetwork (2002-2007; CFCAS); Fluxnet Canada ResearchNetwork (2002-2007; BIOCAP); Canadian Carbon Program (2008-2012; CFCAS); NSERC (Climate Change and Atmospheric Research); NSERC Discovery GrantNatural Sciences and Engineering Research Council of Canada; Arctic Challenge for Sustainability II (ArCS II) project [JPMXD1420318865]; NASANational Aeronautics & Space Administration (NASA); BIOCAP Canada; Canadian Foundation for Climate and Atmospheric Sciences; Natural Sciences and Engineering Research Council of Canada (NSERC)Natural Sciences and Engineering Research Council of Canada; FLUXNET-Canada Network (NSERC); FLUXNET-Canada Network (Canadian Foundation for Climate and Atmospheric Sciences (CFCAS)); FLUXNET-Canada Network (BIOCAP Canada); Parks Canada; Program of Energy Research and Development (PERD)Natural Resources Canada; Canada Research ChairsCanada Research ChairsCGIAR; Natural Sciences and Engineering Research CouncilNatural Sciences and Engineering Research Council of Canada; Canadian Carbon Program (CFCAS); Canada Foundation for Innovation Leaders Opportunity FundCanada Foundation for Innovation; Kempe Foundations [SMK-1743]; VRSwedish Research Council [2018-03966]; FormasSwedish Research Council Formas [2016-01289]; Knut and Alice Wallenberg FoundationKnut & Alice Wallenberg Foundation [2015.0047]; German Research FoundationGerman Research Foundation (DFG) [Wi 2680/2-1]; European UnionEuropean Union (EU) [36993]; Cluster of Excellence 'CliSAP' of the University of Hamburg - German Research Foundation [EXC177]; FLUXNET-Canada Network; Canadian Carbon Program; Ontario Ministry of the Environment, Conservation and Parks; Yugra State University [13-01-20/39]; NSERCNatural Sciences and Engineering Research Council of Canada [RDCPJ514218]; Ministry of Transport and Communication through ICOS-Finland; Academy of FinlandAcademy of Finland [296888, 308511]; Maj and Tor Nessling Foundation; Yakutian Scientific Center of Siberian Branch of Russian Academy of Sciences [FWRS-2020-0012]; RFBRRussian Foundation for Basic Research (RFBR); Government of the KhantyMansi Autonomous Okrug -Yugra project [18-44-860017]; Swedish research infrastructure SITES Sweden; Swedish research infrastructure ICOS Sweden; Global Water Futures research program; NSERCNatural Sciences and Engineering Research Council of Canada; Canadian Foundation for InnovationCanada Foundation for Innovation; Canadian Forest ServiceNatural Resources CanadaCanadian Forest Service

    Challenges and solutions in early detection, rapid response and communication about potential invasive alien species in forests
/ M. de Groot, R. O'Hanlon, E. Bullas-Appleton [et al.] // Manag. Biol. Invasion. - 2020. - Vol. 11, Is. 4. - P637-660, DOI 10.3391/mbi.2020.11.4.02. - Cited References:112. - This article is the result of workshops held at the international conference "Detection and control of forest invasive alien species in a dynamic world" sponsored by the LIFE ARTEMIS (LIFE15 GIE/SI/000770) project in Ljubljana. We would like to thank all the participants of the workshops on early detection, rapid response and communication for their active participation and fruitful discussions. The project LIFE ARTEMIS, is co-funded by the LIFE programme, Ministry of Environment and Spatial planning of the Republic of Slovenia, the Municipality of Ljubljana and the Slovenian Research Agency. The article processing charges of the article were covered by the project LIFE ARTEMIS. . - ISSN 1989-8649
РУБ Biodiversity Conservation

Аннотация: Invasive alien species (IAS) are an important threat to forests. One of the best ways to manage potential IAS is through early detection and rapid response (EDRR) strategies. However, when dealing with IAS in forests, EU regulations are divided between phytosanitary regulations and IAS regulations. A version of EDRR for the former has been in place in the EU for more than 15 years while the latter is still in the process of being implemented. During 2019, a workshop was held to gather international experts on different plant health pests and IAS. The purpose of this workshop was to identify the opportunities and difficulties in applying the EDRR system in the EU phytosanitary and IAS legislation to four species for providing suggestions to improve the EDRR system. The model species are well known and come from different trophic levels. These species were the American pokeweed (Phytolacca americana), the grey squirrel (S'ciurus carolinensis); and the plant health pests Geosmithia morbida and Emerald ash borer (Agrilus planipennis). We identified the similarities in the challenges of early detection, rapid response and communication of these species. For all species, difficulties in species identification, knowledge gaps on the pathways of spread, a lack of resources and uncertainty over which national government service was the competent authority were identified as the main challenges. Other challenges like public perception for the grey squirrel or methodological problems were species-specific. Regarding the rapid response: public perception, determination of the eradication area, sufficient scientific capacity and the lack of resources were common challenges for all species. Therefore, collaboration between institutes dealing with plant health pests and IAS can lead to better control of both groups of unwanted organisms in forests.

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Держатели документа:
Slovenian Forestry Inst, Vecna Pot 2, Ljubljana 1000, Slovenia.
Agri Food & Biosci Inst, Newforge Lane, Belfast BT9 5PX, Antrim, North Ireland.
Govt Canada, Canadian Food Inspect Agcy, Plant Hlth Sci Serv Div, Ottawa, ON, Canada.
NARIC Forest Res Inst, Hegyalja Str 18, H-3232 Matrafured, Hungary.
Univ Sopron, Fac Forestry, Dept Bot & Nat Conservat, Bajcsy Zsilinszky U 4, H-9400 Sopron, Hungary.
Univ Padua, Dept Agron Food Nat Resources Anim & Environm, Viale Univ 16, I-35020 Legnaro, PD, Italy.
European Commiss, Joint Res Ctr JRC, I-21027 Ispra, VA, Italy.
Krasnoyarsk Sci Ctr SB RAS, Sukachev Inst Forest SB RAS, Fed Res Ctr, Akad Gorodok 50-28, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia.
Wildlife Trusts, Red Squirrels United, Mather Rd, Newark NG24 1WT, Notts, England.
Bangor Univ, Sch Nat Sci, Bangor LL57 2UW, Gwynedd, Wales.
Nat Resources Canada, Canadian Forest Serv, Atlantic Forestry Ctr, 1350 Regent St, Fredericton, NB E3C 2G6, Canada.
Univ Florence, Dept Biol, Via Madonna del Piano 6, I-50019 Sesto Fiorentino, FI, Italy.
Univ Helsinki, Helsinki Inst Sustainabil Sci HELSUS, Dept Forest Sci, POB 27, Helsinki 00014, Finland.
Forest Res, Farnham GU10 4LH, Surrey, England.
Inst Symbiosis Soe, Metulje 9, Nova Vas 1385, Slovenia.

Доп.точки доступа:
de Groot, Maarten; O'Hanlon, Richard; Bullas-Appleton, Erin; Csoka, Gyorgy; Csiszar, Agnes; Faccoli, Massimo; Gervasini, Eugenio; Kirichenko, Natalia; Korda, Marton; Marinsek, Aleksander; Robinson, Nikki; Shuttleworth, Craig; Sweeney, Jon; Tricarico, Elena; Verbrugge, Laura; Williams, David; Zidar, Simon; Veenvliet, Jana Kus; LIFE ARTEMIS project in Ljubljana [LIFE15 GIE/SI/000770]; LIFE programme, Ministry of Environment and Spatial planning of the Republic of Slovenia; Municipality of Ljubljana; Slovenian Research AgencySlovenian Research Agency - Slovenia

    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.

    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/).

WOS

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]

    The ABCflux database: Arctic-boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems
/ A. M. Virkkala, S. M. Natali, B. M. Rogers [et al.] // Earth Syst. Sci. Data. - 2022. - Vol. 14, Is. 1. - P179-208, DOI 10.5194/essd-14-179-2022. - Cited References:89. - This research has been supported by the National Aeronautics and Space Administration (grant nos. NNX17AE13G, NNX15AT81A, NNH17ZDA001N, NNX15AT74A, and NNX16AF94A), the Gordon and Betty Moore Foundation (grant no. 8414), the National Science Foundation (grant nos. 1331083, 1931333, NSF Arctic Observatory Network, 1204263, and 1702797), the Vetenskapsradet (grant nos. 2017-05268, 2018-03966, and 2019-04676), the Svenska Forskningsradet Formas (grant nos. 2016-01289 and 2018-00792), the Kempe Foundation (grant no. SMK-1211), the Russian Science Foundation (grant no. 21-14-00209), the Academy of Finland (grant nos. 317054 and 332196), the Danmarks Grundforskningsfond (grant no. CENPERM DNRF100), the Deutsche Forschungsgemeinschaft (grant no. EXC 177 CliSAP), the Skogssallskapet (grant no. 2018-485-Steg 2 2017), the Natural Environment Research Council (grant no. NE/P002552/1), the National Research Foundation of Korea (grant nos. NRF-2021M1A5A1065425, KOPRI-PN21011, NRF-2021M1A5A1065679, and NRF2021R1I1A1A01053870), the Norges Forskningsrad (grant no. 274711), US Department of Energy, Natural Sciences and Engineering Research Council, Russian Science Foundation (grant no. 21-14-00209), the Ministry of Transport and Communication (Finland), ArcticNet, The Arctic Challenge for Sustainability and The Arctic Challenge for Sustainability II (grant no. JPMXD1420318865), KAKENHI (grant no. 19H05668), Greenland Ecosystem Monitoring Program, Danish Program for Arctic Research (grant no. 80.35), TCOS Siberia, NOAA-CESSRST (grant no. NA16SEC4810008), European Union's Horizon 2020 (grant no. 72789), NGEE Arctic, and Russian Fund for Basic Research (grant no. 18-05-60203-Arktika). . - ISSN 1866-3508. - ISSN 1866-3516
РУБ Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences

Аннотация: Past efforts to synthesize and quantify the magnitude and change in carbon dioxide (CO2) fluxes in terrestrial ecosystems across the rapidly warming Arctic-boreal zone (ABZ) have provided valuable information but were limited in their geographical and temporal coverage. Furthermore, these efforts have been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting their potential to be used in large-scale carbon budget assessments. To bridge these gaps, we developed a standardized monthly database of Arctic-boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity and ecosystem respiration. The data span from 1989 to 2020 with over 70 supporting variables that describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. Here, we describe these variables, the spatial and temporal distribution of observations, the main strengths and limitations of the database, and the potential research opportunities it enables. In total, ABCflux includes 244 sites and 6309 monthly observations; 136 sites and 2217 monthly observations represent tundra, and 108 sites and 4092 observations represent the boreal biome. The database includes fluxes estimated with chamber (19 % of the monthly observations), snow diffusion (3 %) and eddy covariance (78 %) techniques. The largest number of observations were collected during the climatological summer (June-August; 32 %), and fewer observations were available for autumn (September-October; 25 %), winter (December-February; 18 %), and spring (March-May; 25 %). ABCflux can be used in a wide array of empirical, remote sensing and modeling studies to improve understanding of the regional and temporal variability in CO2 fluxes and to better estimate the terrestrial ABZ CO2 budget. ABCflux is openly and freely available online (Virkkala et al., 2021b, https://doi.org/10.3334/ORNLDAAC/1934).

WOS

Держатели документа:
Woodwell Climate Res Ctr, 149 Woods Hole Rd, Falmouth, MA 02540 USA.
Univ Texas El Paso, Environm Sci & Engn, 500W Univ Rd, El Paso, TX 79902 USA.
No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86001 USA.
No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86001 USA.
Columbia Univ, Lamont Doherty Earth Observ, Dept Earth & Environm Sci, Palisades, NY 10964 USA.
Univ Alberta, Dept Biol Sci, Edmonton, AB, Canada.
Max Planck Inst Biogeochem, Dept Biogeochem Signals, Jena, Germany.
Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, Canada.
Univ Montreal, Dept Geog, Montreal, PQ, Canada.
Univ Hamburg, Ctr Earth Syst Res & Sustainabil CEN, Inst Soil Sci, Hamburg, Germany.
Shinshu Univ, Dept Environm Sci, Matsumoto, Nagano, Japan.
Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokohama, Kanagawa, Japan.
Univ Helsinki, Inst Atmospher & Earth Syst Res Phys, Fac Sci, Helsinki, Finland.
Greenland Inst Nat Resources, Dept Environm & Minerals, Kivioq 2, Nuuk, Greenland.
Aarhus Univ, Arctic Res Ctr, Dept Biosci, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
Univ Eastern Finland, Dept Environm & Biol Sci, Kuopio, Finland.
Univ Jyvaskyla, Dept Biol & Environm Sci, Jyvaskyla, Finland.
Univ Oulu, Oulanka Res Stn, Liikasenvaarantie 134, Kuusamo 93900, Finland.
Agroscope, Res Div Agroecol & Environm, Reckenholzstr 191, CH-8046 Zurich, Switzerland.
Univ Oslo, Dept Geosci, Ctr Biogeochem Anthropocene, N-0315 Oslo, Norway.
Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden.
Swedish Univ Agr Sci, Dept Forest Ecol & Management, S-90183 Umea, Sweden.
GFZ German Res Ctr Geosci, Potsdam, Germany.
Osaka Prefecture Univ, Grad Sch Life & Environm Sci, Naka Ku, 1-1 Gakuencho, Sakai, Osaka 5998531, Japan.
Finnish Meteorol Inst, Climate Syst Res, Helsinki, Finland.
Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Telegrafenberg A45, D-14473 Potsdam, Germany.
Humboldt Univ, Geog Dept, Unter Linden 6, D-10099 Berlin, Germany.
Univ Florida, Dept Agron, Gainesville, FL 32611 USA.
Korea Univ, Inst Life Sci & Nat Resources, 145 Anam Ro, Seoul 02841, South Korea.
Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99775 USA.
Lawrence Berkeley Natl Lab, Earth & Environm Sci Area, Berkeley, CA 94720 USA.
Vrije Univ Amsterdam, Dept Earth Sci, Amsterdam, Netherlands.
Univ Copenhagen, Dept Geosci & Nat Resource Management, Ctr Permafrost, Oster Voldagde 10, Copenhagen, Denmark.
Swedish Univ Agr Sci, Dept Ecol, Uppsala, Sweden.
Carleton Univ, Dept Geog & Environm Studies, 1125 Colonel Dr, Ottawa, ON K2B 5J5, Canada.
Nagoya Univ, Grad Sch Bioagr Sci, Nagoya, Aichi, Japan.
Forestry & Forest Prod Res Inst, Ctr Int Partnerships & Res Climate Change, 1 Matsunosato, Tsukuba, Ibaraki, Japan.
Environm & Climate Change Canada, Climate Res Div, Victoria, BC V8N 1V8, Canada.
Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA.
Florida Int Univ, Inst Environm, Miami, FL 33199 USA.
Korea Polar Res Inst, Div Atmospher Sci, 26 Sondgomirae Ro, Incheon, South Korea.
Russian Acad Sci, Siberian Branch, Inst Biol Problems Cryolithozone, Yakutsk, Russia.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Akademgorodok 50-28, Krasnoyarsk 660036, Russia.
Univ Alberta, Dept Renewable Resources, Edmonton, AB, Canada.
Univ Eastern Finland, Sch Forest Sci, Joensuu, Finland.
Wilfrid Laurier Univ, Cold Reg Res Ctr, Waterloo, ON, Canada.
Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Leninsky Pr 33, Moscow 119071, Russia.
San Diego State Univ, Dept Biol, San Diego, CA 92182 USA.

Доп.точки доступа:
Virkkala, Anna-Maria; Natali, Susan M.; Rogers, Brendan M.; Watts, Jennifer D.; Savage, Kathleen; Connon, Sara June; Mauritz, Marguerite; Schuur, Edward A. G.; Peter, Darcy; Minions, Christina; Nojeim, Julia; Commane, Roisin; Emmerton, Craig A.; Goeckede, Mathias; Helbig, Manuel; Holl, David; Iwata, Hiroki; Kobayashi, Hideki; Kolari, Pasi; Lopez-Blanco, Efren; Marushchak, Maija E.; Mastepanov, Mikhail; Merbold, Lutz; Parmentier, Frans-Jan W.; Peichl, Matthias; Sachs, Torsten; Sonnentag, Oliver; Ueyama, Masahito; Voigt, Carolina; Aurela, Mika; Boike, Julia; Celis, Gerardo; Chae, Namyi; Christensen, Torben R.; Bret-Harte, M. Syndonia; Dengel, Sigrid; Dolman, Han; Edgar, Colin W.; Elberling, B.o.; Euskirchen, Eugenie; Grelle, Achim; Hatakka, Juha; Humphreys, Elyn; Jarveoja, Jarvi; Kotani, Ayumi; Kutzbach, Lars; Laurila, Tuomas; Lohila, Annalea; Mammarella, Ivan; Matsuura, Yojiro; Meyer, Gesa; Nilsson, Mats B.; Oberbauer, Steven F.; Park, Sang-Jong; Petrov, Roman; Prokushkin, Anatoly S.; Schulze, Christopher; St Louis, Vincent L.; Tuittila, Eeva-Stiina; Tuovinen, Juha-Pekka; Quinton, William; Varlagin, Andrej; Zona, Donatella; Zyryanov, Viacheslav I.; Dolman, A.J.; Christensen, Torben; National Aeronautics and Space AdministrationNational Aeronautics & Space Administration (NASA) [NNX17AE13G, NNX15AT81A, NNH17ZDA001N, NNX15AT74A, NNX16AF94A]; Gordon and Betty Moore FoundationGordon and Betty Moore Foundation [8414]; National Science FoundationNational Science Foundation (NSF) [1331083, 1931333]; NSF Arctic Observatory Network [1204263, 1702797]; VetenskapsradetSwedish Research Council [2017-05268, 2018-03966, 2019-04676]; Svenska Forskningsradet FormasSwedish Research Council Formas [2016-01289, 2018-00792]; Kempe Foundation [SMK-1211]; Russian Science FoundationRussian Science Foundation (RSF) [21-14-00209]; Academy of FinlandAcademy of Finland [317054, 332196]; Danmarks GrundforskningsfondDanmarks Grundforskningsfond; CENPERM [DNRF100]; Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG); (EXC 177 CliSAP); Skogssallskapet [2018-485-Steg 2 2017]; Natural Environment Research CouncilUK Research & Innovation (UKRI)Natural Environment Research Council (NERC) [NE/P002552/1]; National Research Foundation of KoreaNational Research Foundation of Korea [NRF-2021M1A5A1065425, KOPRI-PN21011, NRF-2021M1A5A1065679, NRF2021R1I1A1A01053870]; Norges Forskningsrad [274711]; US Department of Energy, Natural Sciences and Engineering Research Council, Russian Science Foundation [21-14-00209]; Ministry of Transport and Communication (Finland); ArcticNet [JPMXD1420318865]; KAKENHIMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research (KAKENHI) [19H05668]; Greenland Ecosystem Monitoring Program; Danish Program for Arctic Research [80.35, NA16SEC4810008]; European UnionEuropean Commission [72789]; Russian Fund for Basic ResearchRussian Foundation for Basic Research (RFBR) [18-05-60203-Arktika]