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

[Text] / V. Y. Romas'ko, V. B. Kashkin, A. N. Sukhinin // Earth Observ. Remote Sens. - 2001. - Vol. 16, Is. 6. - P991-996. - Cited References: 6 . - 6. - ISSN 1024-5251РУБ Geography, Physical + Geosciences, Multidisciplinary + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: It is shown that NOAA satellite data with spatial resolution 1.1 km can be used to estimate the area and age of fires and the extent of forest recovery, and to date past fires. The paper presents the results of classification using maximum likelihood, and minimum distances and clustering with respect to the maxima of multidimensional histograms.

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Держатели документа:
Russian Acad Sci, Inst Forest, Krasnoyarsk, Russia
Krasnoyarsk State Tech Univ, Krasnoyarsk, Russia

Доп.точки доступа:
Romas'ko, V.Y.; Kashkin, V.B.; Sukhinin, A.N.

/ A. Hofgaard [et al.] // Applied Vegetation Science. - 2010. - Vol. 13, Is. 4. - P460-472, DOI 10.1111/j.1654-109X.2010.01086.x . - ISSN 1402-2001
Аннотация: Question: Is there a need for disturbance mapping integrated in the CircumBoreal Vegetation Mapping Program? Location: Eurasian boreal forest. Disturbance and mapping: The boreal zone is characterized by a multitude of natural and anthropogenic disturbance agents with importance over a wide range of spatial and temporal scales. Disturbance is a prime driver of succession in most of the boreal zone, producing landscape diversity characterized by a large-scale vegetation mosaic of early to late succession states. When mapping the circumboreal vegetation, spatial extent, time involved from disturbance to recovered condition and likelihood of interacting disturbance types are crucial for how current vegetation is interpreted and subsequently included as map characteristics. In this paper we present examples from the boreal zone where natural and/or anthropogenic disturbance regimes dominate the state and distribution of vegetation, and possibilities for assessing the nature and extent of the disturbed regions using remotely sensed data. Conclusion: Disturbed vegetation occupies large areas in the boreal zone and related vegetation successions should be adequately represented when mapping the zone. In regions where the 'potential natural vegetation' is a hypothetical reconstruction from remnants of 'natural' vegetation it would be preferable to use the concept of 'actual real vegetation' for which remote sensing at coarse, medium and fine resolution is an efficient tool. The Land Cover Classification System (LCCS) may offer sufficient flexibility to incorporate information about the disturbance of circumboreal vegetation. В© 2010 International Association for Vegetation Science.

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Держатели документа:
Scott Polar Research Institute, University of Cambridge, United Kingdom
Norwegian Institute for Nature Research, Trondheim, Norway
Norwegian Institute for Nature Research, Tromso, Norway
Faculty of Geography, M.V. Lomonosov Moscow State University, Moscow, Russian Federation
Centre on the Problems of Ecology and Productivity of Forests, Russian Academy of Sciences, Moscow, Russian Federation
Northern Research Institute, Tromso, Norway
Institute of the Industrial Ecology if the North, Kola Science Center, Russian Academy of Sciences, Russian Federation
Sukachev Forest Institute, Akademgorodok Krasnoyarsk, Russian Federation

Доп.точки доступа:
Hofgaard, A.; Rees, G.; Tommervik, H.; Tutubalina, O.; Golubeva, E.; Lukina, N.; Hogda, K.A.; Karlsen, S.R.; Isaeva, L.; Kharuk, V.

/ Ye. V. Fedotova [et al.] // Mapping Sciences and Remote Sensing. - 2000. - Vol. 37, Is. 1. - P55-65 . - ISSN 0749-3878
Аннотация: A team of Russian forestry scientists examines the applicability of NOAA/ AVHRR satellite imagery in further development of methods for mapping forested areas. Summertime images processed in IDRISI for an area bounded by 48В° and 71В°N and 86В° and 98В°E were analyzed. The accuracy of automated supervised classification maps (maximum likelihood method) was tested by comparison with conventional maps at a wide variety of scales. Special emphasis is placed on examining prospects for expanded use of NOAA/AVHRR imagery in solving problems related to global climate change: displacement of vegetation zones, change in forest productivity, and phenology of forest vegetation development.

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Полный текст

Держатели документа:
Forestry Ins., Siberian Section, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Fedotova, Ye.V.; Burenina, T.A.; Kharuk, V.I.; Sukhinin, A.I.

[Text] / S. Schaphoff [et al.] // For. Ecol. Manage. - 2016. - Vol. 361. - P432-444, DOI 10.1016/j.foreco.2015.11.043. - Cited References:135. - This research is a spin-off from the World Bank Project "Turn Down the Heat: Confronting the New Climate Normal" and we are grateful to everybody involved in this activity for making it a success. Christopher Reyer acknowledges financial support from the German Federal Ministry of Education and Research (BMBF, Grant no. 01LS1201A1). . - ISSN 0378-1127. - ISSN 1872-7042РУБ Forestry

Аннотация: Russia's boreal forests provide numerous important ecosystem functions and services, but they are being increasingly affected by climate change. This review presents an overview of observed and potential future climate change impacts on those forests with an emphasis on their aggregate carbon balance and processes driving changes therein. We summarize recent findings highlighting that radiation increases, temperature-driven longer growing seasons and increasing atmospheric CO2 concentrations generally enhance vegetation productivity, while heat waves and droughts tend to decrease it. Estimates of major carbon fluxes such as net biome production agree that the Russian forests as a whole currently act as a carbon sink, but these estimates differ in terms of the magnitude of the sink due to different methods and time periods used. Moreover, models project substantial distributional shifts of forest biomes, but they may overestimate the extent to which the boreal forest will shift poleward as past migration rates have been slow. While other impacts of current climate change are already substantial, and projected impacts could be both large-scale and disastrous, the likelihood for a tipping point behavior of Russia's boreal forest is still unquantified. Other substantial research gaps include the large-scale effect of (climate-driven) disturbances such as fires and insect outbreaks, which are expected to increase in the future. We conclude that the impacts of climate change on Russia's boreal forest are often superimposed by other environmental and societal changes in a complex way, and the interaction of these developments could exacerbate both existing and projected future challenges. Hence, development of adaptation and mitigation strategies for Russia's forests is strongly advised. (C) 2015 Elsevier B.V. All rights reserved.

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Держатели документа:
Potsdam Inst Climate Impact Res, Telegraphenberg A62, D-14473 Potsdam, Germany.
Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria.
Moscow State Forest Univ, Inst Skaya 1, Mytishchi 141005, Moscow Oblast, Russia.
Russian Acad Sci, Siberian Div, Sukachev Inst Forest, Akademgorodok Str 28, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Schaphoff, Sibyll; Reyer, Christopher P. O.; Schepaschenko, Dmitry; Gerten, Dieter; Shvidenko, Anatoly; German Federal Ministry of Education and Research (BMBF) [01LS1201A1]

[Text] / S. Im // INFORMATICS, GEOINFORMATICS AND REMOTE SENSING, VOL I (SGEM 2015) : STEF92 TECHNOLOGY LTD, 2015. - 15th International Multidisciplinary Scientific Geoconference (SGEM) (JUN 18-24, 2015, Albena, BULGARIA). - P433-440. - (International Multidisciplinary Scientific GeoConference-SGEM). - Cited References:13 . - РУБ Computer Science, Interdisciplinary Applications + Geosciences,

Аннотация: The goal of this research was to develop a cost-effective technique to analyze spatio-temporal dynamics of darkneedle stands desiccation. The developed technique allows estimating of spatio-temporal dynamics of darkneedle stands desiccation based on remote sensing data from Landsat satellites regarding orography and climate trends. Advantages of the technique are (1) using of freely available Landsat data, digital elevation model and climate data; and (2) it is based on the maximum likelihood supervised classification method realized in the most of software products. There are six main steps in the technique: (1) preliminary data preparation and analysis; (2) generation of classification map of darkneedle stands for the period prior to decline of trees; (3) masking of time series of Landsat data based on the classification map of darkneedle stands for the period prior to decline of trees; (4) generation of classification maps of desiccated stands; (5) GIS-analysis of relationships between spatio-temporal dynamics of desiccation of trees and orography; (6) statistical analysis of relationships between spatio-temporal dynamics of desiccation of trees and climate trends. The technique was successfully tested at two sites located in Siberia. Forest decline occurred after consecutive droughts during the last decades. Mortality began at hilltops and steep south-facing slopes, shifting with time to lower elevations. Maximum of the desiccated forest area was within steep (18 degrees-25 degrees) south-facing slopes.

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Держатели документа:
VN Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia.
MF Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Im, Sergei

/ O. A. Antamoshkina, N. V. Trofimova, O. A. Antamoshkin // IOP Conference Series: Materials Science and Engineering. - 2016. - Vol. 122: 19th International Scientific Conference Reshetnev Readings 2015 (10 November 2015 through 14 November 2015, ) Conference code: 122153, Is. 1, DOI 10.1088/1757-899X/122/1/012004 . -
Аннотация: The article discusses the methods of satellite image classification to determine general types of forest ecosystems, as well as the long-term monitoring of ecosystems changes using satellite imagery of medium spatial resolution and the daily data of space monitoring of active fires. The area of interest of this work is 100 km footprint of the Zotino Tall Tower Observatory (ZOTTO), located near the Zotino settlement, Krasnoyarsk region. The study area is located in the middle taiga subzone of Western Siberia, are presented by the left and right banks of the Yenisei river. For Landsat satellite imagery supervised classification by the maximum likelihood method was made using ground-based studies over the last fifteen years. The results are the identification of the 10 aggregated classes of land surface and composition of the study area thematic map. Operational satellite monitoring and analysis of spatial information about ecosystem in the 100-kilometer footprint of the ZOTTO tall tower allows to monitor the dynamics of forest disturbance by fire and logging over a long time period and to estimate changes in forest ecosystems of the study area. Data on the number and area of fires detected in the study region for the 2000-2014 received in the work. Calculations show that active fires have burned more than a quarter of the footprint area over the study period. Fires have a significant impact on the redistribution of classes of land surface. Area of all types of vegetation ecosystems declined dramatically under the influence of fires, whereas industrial logging does not impact seriously on it. The results obtained in our work indicate the highest occurrence of fires for lichen forest types within study region, probably due to their high natural fire danger, which is consistent with other studies. The least damage the fire caused to the wetland ecosystem due to high content of moisture and the presence of a large number of fire breaks in the form of open water. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Head of the Altai-Sayan Ecoregional Office WWF, Krasnoyarsk, Russian Federation
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.

/ R. Eschen [et al.] // J. Pest Sci. - 2018, DOI 10.1007/s10340-018-1041-6 . - Article in press. - ISSN 1612-4758
Аннотация: The number of alien plant pests and pathogens is rapidly increasing in many countries as a result of increasing trade, particularly the trade in living plants. Sentinel plantings in exporting countries to detect arthropod pests and agents of diseases prior to introduction provide information about the likelihood of introduction and the potential impact on plants native to the importing country. Such plantings can consist of species that are native to exporting or importing countries (“in-patria” and “ex-patria” plantings). In-patria plantings consist of young woody plants of species that are commonly exported and can be used to identify pests that may be introduced to new countries via the trade in live plants. Ex-patria plantings consist of exotic young or mature woody plants and surveys may provide information about potential impacts of pests if these were to become established in a new country. We discuss the methods and benefits of this powerful tool and list examples of studies that highlight the large number of unknown organisms and pest–host relationships that can be detected. The usefulness of sentinel plantings is illustrated using examples of arthropod pests and fungal pathogens of European and Asian tree species that were identified in sentinel studies in China and the Asian Russia. © 2018, The Author(s).

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Держатели документа:
CABI, Delemont, Switzerland
Agri-Food and Biosciences Institute, Newforge Lane, Belfast, United Kingdom
Institute for Sustainable Plant Protection CNR, Sesto Fiorentino, FI, Italy
DIBAF, University of Tuscia, Viterbo, Italy
Institut National de la Recherche Agronomique, Orleans, France
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Eschen, R.; O’Hanlon, R.; Santini, A.; Vannini, A.; Roques, A.; Kirichenko, N.; Kenis, M.

/ L. DeSoto, M. Cailleret, F. Sterck [et al.] // Nat. Commun. - 2020. - Vol. 11, Is. 1. - Ст. 545, DOI 10.1038/s41467-020-14300-5. - Cited References:73. - This article is based upon work from the COST Action FP1106 STReESS, financially supported by European Cooperation in Science and Technology (COST). L.DS. was funded by the Fundacao para a Ciencia e a Tecnologia (SFRH/BPD/70632/2010) and by the European Union (EU) under a Marie Sklodowska-Curie IF (No.797188); K.K. was supported by the Dutch Ministry of Agriculture, Nature and Food-quality (KB-29-009003); E.M.R.R. by the Research Foundation -Flanders (FWO, Belgium) and by the EU under a Marie Sklodowska-Curie IF (No.659191); T.A. by the Kone Foundation; J.J.C. by the Spanish Ministry of Science (CGL2015-69186-C2-1-R); K.C. by the Slovenian Research Agency ARRS (P4-0015); L.J.H. by the USDA Forest Service-Forest Health Protection and Arkansas Agricultural Experiment Station; V.I.K. by the RFBR (18-45240003 and 18-05-00432); T. Klein by the Merle S. Cahn Foundation and the Monroe and Marjorie Burk Fund for Alternative Energy Studies (Mr. and Mrs. Norman Reiser), the Weizmann Center for New Scientists and the Edith & Nathan Goldberg Career Development Chair; T.L. by the Slovene Research Agency (P4-0107, J4-5519 and J48216); J.C.L. by the Spanish Ministry of Science (CGL2013-48843-C2-2-R); H.M. by the Academy of Finland (No.315495); G.S.-B. by a Juan de la Cierva-Formacion from the Spanish Ministry of Economy and Competitiveness (MINECO, FJCI 2016-30121); D.B.S. by the Ministry of Education and Science of the Republic of Serbia (III 43007); R.V. partially by BNP-PARIBAS Foundation; and J.M.-V. by the MINECO (CGL2013-46808R and CGL2017-89149-C2-1-R) and an ICREA Academia award. Finally, we specially thank M. Berdugo, V. Granda, J. Moya, R. Poyatos, L. Santos del Blanco and R. Torices for their assistance in R programming. . - ISSN 2041-1723РУБ Multidisciplinary Sciences

Аннотация: Severe droughts have the potential to reduce forest productivity and trigger tree mortality. Most trees face several drought events during their life and therefore resilience to dry conditions may be crucial to long-term survival. We assessed how growth resilience to severe droughts, including its components resistance and recovery, is related to the ability to survive future droughts by using a tree-ring database of surviving and now-dead trees from 118 sites (22 species, 3,500 trees). We found that, across the variety of regions and species sampled, trees that died during water shortages were less resilient to previous non-lethal droughts, relative to coexisting surviving trees of the same species. In angiosperms, drought-related mortality risk is associated with lower resistance (low capacity to reduce impact of the initial drought), while it is related to reduced recovery (low capacity to attain pre-drought growth rates) in gymnosperms. The different resilience strategies in these two taxonomic groups open new avenues to improve our understanding and prediction of drought-induced mortality.

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Держатели документа:
Spanish Natl Res Council EEZA CSIC, Estn Expt Zonas Aridas, Almeria, Spain.
Univ Coimbra, Ctr Funct Ecol, Coimbra, Portugal.
Univ Aix Marseille, UMR Recover, INRAE, Aix En Provence, France.
Swiss Fed Inst Technol, Forest Ecol, Dept Environm Syst Sci, Zurich, Switzerland.
Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland.
Wageningen Univ, Forest Ecol & Forest Management Grp, Wageningen, Netherlands.
Ulm Univ, Inst Systemat Bot & Ecol, Ulm, Germany.
Land Life Co, Amsterdam, Netherlands.
CREAF, Bellaterrra Cerdanyola V, Catalonia, Spain.
Vrije Univ Brussel, Ecol & Biodivers, Brussels, Belgium.
Royal Museum Cent Africa RMCA, Lab Wood Biol & Xylarium, Tervuren, Belgium.
Univ Helsinki, Dept Forest Sci, Helsinki, Finland.
Univ Nacl Rio Negro, Consejo Nacl Invest Cient & Tecn CONICET, Inst Invest Recursos Nat Agroecol & Desarrollo Ru, Viedma, Rio Negro, Argentina.
Spanish Natl Res Council IPE CSIC, Inst Pirena Ecol, Zaragoza, Spain.
Univ Ljubljana, Biotech Fac, Dept Wood Sci & Technol, Ljubljana, Slovenia.
Inst Nacl Invest & Tecnol Agr & Alimentaria INIA, Ctr Invest Forestal CIFOR, Madrid, Spain.
Tech Univ Dresden, Inst Forest Bot & Forest Zool, Dresden, Germany.
US Forest Serv, USDA, Missoula, MT USA.
Transilvania Univ Brasov, Dept Forest Sci, Brasov, Romania.
BC3 Basque Ctr Climate Change, Leioa, Spain.
Humboldt State Univ, Dept Forestry & Wildland Resources, Arcata, CA 95521 USA.
Russian Acad Sci RAS, Sukachev Inst Forest, Siberian Div, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Consejo Nacl Invest Cient & Tecn CONICET, Inst Invest Biodiversidad & Medio Ambiente INIBOM, San Carlos De Bariloche, Rio Negro, Argentina.
Univ Nacl Comahue, Dept Ecol, Gral Roca, Rio Negro, Argentina.
Weizmann Inst Sci, Dept Plant & Environm Sci, Rehovot, Israel.
Slovenian Forestry Inst, Dept Yield & Silviculture, Ljubljana, Slovenia.
Pablo de Olavide Univ, Dept Phys Chem & Nat Syst, Seville, Spain.
Nat Resources Inst Finland Luke, Espoo, Finland.
Univ Innsbruck, Dept Bot, Innsbruck, Austria.
Agr Univ Athens, Karpenissi, Greece.
Univ Valladolid, EiFAB IuFOR, Soria, Spain.
Univ Novi Sad, Inst Lowland Forestry & Environm, Novi Sad, Serbia.
CONICET INTA, EEA Bariloche, Grp Ecol Forestal, San Carlos De Bariloche, Rio Negro, Argentina.
Inst Argentino Nivol Glaciol & Ciencias Ambiental, Mendoza, Argentina.
Univ Autonoma Barcelona, Bellaterrra Cerdanyola V, Catalonia, Spain.

Доп.точки доступа:
DeSoto, Lucia; Cailleret, Maxime; Sterck, Frank; Jansen, Steven; Kramer, Koen; Robert, Elisabeth M. R.; Aakala, Tuomas; Amoroso, Mariano M.; Bigler, Christof; Camarero, J. Julio; Cufar, Katarina; Gea-Izquierdo, Guillermo; Gillner, Sten; Haavik, Laurel J.; Heres, Ana-Maria; Kane, Jeffrey M.; Kharuk, Vyacheslav, I; Kitzberger, Thomas; Klein, Tamir; Levanic, Tom; Linares, Juan C.; Makinen, Harri; Oberhuber, Walter; Papadopoulos, Andreas; Rohner, Brigitte; Sanguesa-Barreda, Gabriel; Stojanovic, Dejan B.; Suarez, Maria Laura; Villalba, Ricardo; Martinez-Vilalta, Jordi; Robert, Elisabeth; W., Walter; European Cooperation in Science and Technology (COST)European Cooperation in Science and Technology (COST) [FP1106 STReESS]; European Union (EU) under a Marie Sklodowska-Curie IFEuropean Union (EU) [797188]; Dutch Ministry of Agriculture, Nature and Food-quality [KB-29-009003]; Research Foundation -Flanders (FWO, Belgium)FWO; EU under a Marie Sklodowska-Curie IF [659191]; Kone Foundation; Spanish Ministry of ScienceSpanish Government [CGL2015-69186-C2-1-R, CGL2013-48843-C2-2-R]; Slovenian Research Agency ARRSSlovenian Research Agency - Slovenia [P4-0015]; USDA Forest Service-Forest Health ProtectionUnited States Department of Agriculture (USDA)United States Forest Service; RFBRRussian Foundation for Basic Research (RFBR) [18-45240003, 18-05-00432]; Merle S. Cahn Foundation; Monroe and Marjorie Burk Fund for Alternative Energy Studies; Weizmann Center for New Scientists; Edith & Nathan Goldberg Career Development Chair; Slovene Research AgencySlovenian Research Agency - Slovenia [P4-0107, J4-5519, J48216]; Academy of FinlandAcademy of Finland [315495]; Juan de la Cierva-Formacion from the Spanish Ministry of Economy and Competitiveness (MINECO) [FJCI 2016-30121]; Ministry of Education and Science of the Republic of Serbia [III 43007]; BNP-PARIBAS Foundation; MINECO [CGL2013-46808R, CGL2017-89149-C2-1-R]; ICREA Academia awardICREA; Fundacao para a Ciencia e a TecnologiaPortuguese Foundation for Science and Technology [SFRH/BPD/70632/2010]; Arkansas Agricultural Experiment Station

/ J. L. McCarty, J. Aalto, V. V. Paunu [et al.] // Biogeosciences. - 2021. - Vol. 18, Is. 18. - P5053-5083, DOI 10.5194/bg-18-5053-2021. - Cited References:268. - This research has been supported by Miami University, Ministry for Foreign Affairs of Finland (IBA Forest Fires, decision PC0TQ4BT-53); Business Finland (BC Footprint; grant no. 1462/31/2019); the ACRoBEAR project, funded by the Belmont Forum Climate, Environment and Health (CEH) Collaborative Research Action and the UK Natural Environment Research Council (grant no. NE/T013672/1); the Arctic Monitoring and As-sessment Programme (AMAP); the Russian Foundation for Basic Research (RFBR grant no. 19-45-240004); a joint project of the Government of Krasnoyarsk Territory and Russian Foundation for Basic Research (GKT KRFS and RFBR grant no. 20-05-00540); NASA's Weather and Data Analysis programme; and the Climate Adaptation Research Fund from Environment and Climate Change Canada. Portions of this publication were produced with the financial support of the European Union via the EU-funded Action on Black Carbon in the Arctic. Its contents are the sole responsibility of Jessica L. McCarty, Ville-Veikko Paunu, Zbigniew Klimont, and Justin J. Fain and do not necessarily reflect the views of the European Union. . - ISSN 1726-4170. - ISSN 1726-4189РУБ Ecology + Geosciences, Multidisciplinary

Аннотация: In recent years, the pan-Arctic region has experienced increasingly extreme fire seasons. Fires in the northern high latitudes are driven by current and future climate change, lightning, fuel conditions, and human activity. In this context, conceptualizing and parameterizing current and future Arctic fire regimes will be important for fire and land management as well as understanding current and predicting future fire emissions. The objectives of this review were driven by policy questions identified by the Arctic Monitoring and Assessment Programme (AMAP) Working Group and posed to its Expert Group on Short-Lived Climate Forcers. This review synthesizes current understanding of the changing Arctic and boreal fire regimes, particularly as fire activity and its response to future climate change in the pan-Arctic have consequences for Arctic Council states aiming to mitigate and adapt to climate change in the north. The conclusions from our synthesis are the following. (1) Current and future Arctic fires, and the adjacent boreal region, are driven by natural (i.e. lightning) and human-caused ignition sources, including fires caused by timber and energy extraction, prescribed burning for landscape management, and tourism activities. Little is published in the scientific literature about cultural burning by Indigenous populations across the pan-Arctic, and questions remain on the source of ignitions above 70 degrees N in Arctic Russia. (2) Climate change is expected to make Arctic fires more likely by increasing the likelihood of extreme fire weather, increased lightning activity, and drier vegetative and ground fuel conditions. (3) To some extent, shifting agricultural land use and forest transitions from forest-steppe to steppe, tundra to taiga, and coniferous to deciduous in a warmer climate may increase and decrease open biomass burning, depending on land use in addition to climate-driven biome shifts. However, at the country and landscape scales, these relationships are not well established. (4) Current black carbon and PM2.5 emissions from wildfires above 50 and 65 degrees N are larger than emissions from the anthropogenic sectors of residential combustion, transportation, and flaring. Wildfire emissions have increased from 2010 to 2020, particularly above 60 degrees N, with 56% of black carbon emissions above 65 degrees N in 2020 attributed to open biomass burning - indicating how extreme the 2020 wildfire season was and how severe future Arctic wildfire seasons can potentially be. (5) What works in the boreal zones to prevent and fight wildfires may not work in the Arctic. Fire management will need to adapt to a changing climate, economic development, the Indigenous and local communities, and fragile northern ecosystems, including permafrost and peatlands. (6) Factors contributing to the uncertainty of predicting and quantifying future Arctic fire regimes include underestimation of Arctic fires by satellite systems, lack of agreement between Earth observations and official statistics, and still needed refinements of location, conditions, and previous fire return intervals on peat and permafrost landscapes. This review highlights that much research is needed in order to understand the local and regional impacts of the changing Arctic fire regime on emissions and the global climate, ecosystems, and pan-Arctic communities.

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Держатели документа:
Miami Univ, Dept Geog, Oxford, OH 45056 USA.
Miami Univ, Geospatial Anal Ctr, Oxford, OH 45056 USA.
Finnish Meteorol Inst, Weather & Climate Change Impact Res, Helsinki, Finland.
Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland.
Finnish Environm Inst SYKE, Ctr Sustainable Consumpt & Prod, Helsinki, Finland.
Univ Leeds, Sch Earth & Environm, Inst Climate & Atmospher Sci, Leeds, W Yorkshire, England.
Norwegian Inst Air Res, Dept Atmospher & Climate Res ATMOS, Kjeller, Norway.
Int Inst Appl Syst Anal IIASA, Laxenburg, Austria.
Russian Acad Sci, VN Sukachev Inst Forests, Siberian Branch, Krasnoyarsk, Russia.
Minist Environm Finland, Aleksanterinkatu 7,POB 35, Helsinki 00023, Finland.
Natl Inst Aerosp, Hampton, VA USA.
NASA, Langley Res Ctr, Hampton, VA 23665 USA.
Environm & Climate Change Canada, ASTD STB, Climate Res Div, Toronto, ON, Canada.
Arctic Monitoring & Assessment Programme AMAP Sec, Tromso, Norway.

Доп.точки доступа:
McCarty, Jessica L.; Aalto, Juha; Paunu, Ville-Veikko; Arnold, Steve R.; Eckhardt, Sabine; Klimont, Zbigniew; Fain, Justin J.; Evangeliou, Nikolaos; Venalainen, Ari; Tchebakova, Nadezhda M.; Parfenova, Elena, I; Kupiainen, Kaarle; Soja, Amber J.; Huang, Lin; Wilson, Simon; McCarty, Jessica; Miami University, Ministry for Foreign Affairs of Finland (IBA Forest Fires) [1462/31/2019]; Business Finland (BC Footprint) [1462/31/2019]; ACRoBEAR project - Belmont Forum Climate, Environment and Health (CEH) Collaborative Research Action; UK Natural Environment Research CouncilUK Research & Innovation (UKRI)Natural Environment Research Council (NERC) [NE/T013672/1]; Arctic Monitoring and As-sessment Programme (AMAP); Russian Foundation for Basic Research (RFBR)Russian Foundation for Basic Research (RFBR) [19-45-240004]; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [20-05-00540]; NASA's Weather and Data Analysis programme; Climate Adaptation Research Fund from Environment and Climate Change Canada; European UnionEuropean Commission; Government of Krasnoyarsk Territory [20-05-00540]