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

[Текст] / A. S. Isaev [и др.] // Zhurnal Obshchei Biol. - 2009. - Vol. 70, Is. 6. - С. 451-458. - Cited References: 15 . - 8. - ISSN 0044-4596РУБ Biology

Аннотация: The changes of arboreous coenoses composition resulting from natural and anthropogenic impacts are considered. The mathematical model is proposed and verified that describes arboreous cenoses transition from one succession state into another by analogy with phase transition in statistical physics. It is demonstrated that the model is concordant with the data of full-scale observations. The model allows to explain the trend of succession processes and determine the stage of forestation process at which succession transitions should be expected. The analysis of full-scale observations data by means of the proposed approach makes it possible to calculate, for given regions and forest types, the critical values of planting phytomass that, upon being attained, initiate the succession transition. Those values are important to be known for middle- and long-term forecasting of forest cover dynamics.

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Держатели документа:
[Isaev, A. S.] RAS, Ctr Problems Ecol & Prod Forests, Moscow 117997, Russia
[Soukhovolsky, V. G.
Buzykin, A. I.
Ovchinnikova, T. M.] RAS, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Isaev, A.S.; Soukhovolsky, V.G.; Buzykin, A.I.; Ovchinnikova, T.M.

[Text] / L. M. Parham [et al.] // Biogeochemistry. - 2013. - Vol. 116, Is. 01.03.2014. - P55-68, DOI 10.1007/s10533-013-9922-5. - Cited References: 33. - This work was supported by joint US-Russia program between the RFBR and CRDF through Grants 10-05-92513 and RUG1-2980-KR-10, ANR, GDRI "CAR WET SIB", Grants RFBR-CNRS 08-04-92495 and BIO-GEO-CLIM of MinObrNauki and BIO-GEO-CLIM of Russian Ministry of Science and Education (14.B25.31.0001). . - 14. - ISSN 0168-2563РУБ Environmental Sciences + Geosciences, Multidisciplinary

Аннотация: Stream chemistry in permafrost regions is regulated by a variety of drivers that affect hydrologic flowpaths and watershed carbon and nutrient dynamics. Here we examine the extent to which seasonal dynamics of soil active layer thickness and wildfires regulate solute concentration in streams of the continuous permafrost region of the Central Siberian Plateau. Samples were collected from 2006 to 2012 during the frost-free season (May-September) from sixteen watersheds with fire histories ranging from 3 to 120 years. The influence of permafrost was evident through significantly higher dissolved organic carbon (DOC) concentrations in the spring, when only the organic soil horizon was accessible to runoff. As the active layer deepened through the growing season, water was routed deeper through the underlying mineral horizon where DOC underwent adsorption and concentrations decreased. In contrast, mean concentrations of major cations (Ca2+ > Na+ > Mg2+ > K+) were significantly higher in the summer, when contact with mineral horizons in the active zone provided a source of cations. Wildfire caused significantly lower concentrations of DOC in more recently burned watersheds, due to removal of a source of DOC through combustion of the organic layer. An opposite trend was observed for dissolved inorganic carbon and major cations in more recently burned watersheds. There was also indication of talik presence in three of the larger watersheds evidenced by Cl- concentrations that were ten times higher than those of other watersheds. Because climate change affects both fire recurrence intervals as well as rates of permafrost degradation, delineating their combined effects on solute concentration allows forecasting of the evolution of biogeochemical cycles in this region in the future.

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Держатели документа:
[Parham, Lucy M.
McDowell, William H.] Univ New Hampshire, Dept Nat Resources & Environm, Coll Life Sci & Agr, Durham, NH 03824 USA
[Prokushkin, Anatoly S.
Titov, Sergey V.] VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Pokrovsky, Oleg. S.] Univ Toulouse, CNRS IRD OMP, Geosci Environm Toulouse, F-31400 Toulouse, France
[Grekova, Ekaterina] Siberian Fed Univ, Krasnoyarsk 660041, Russia
[Shirokova, Liudmila S.] UroRAS, Inst Ecol Problems North, Arkhangelsk, Russia

Доп.точки доступа:
Parham, L.M.; Prokushkin, A.S.; Pokrovsky, O.S.; Titov, S.V.; Grekova, E...; Shirokova, L.S.; McDowell, W.H.; RFBR; CRDF [10-05-92513, RUG1-2980-KR-10]; ANR; GDRI "CAR WET SIB"; MinObrNauki [RFBR-CNRS 08-04-92495, BIO-GEO-CLIM]; BIO-GEO-CLIM of Russian Ministry of Science and Education [14.B25.31.0001]

/ L. V. Karpenko // Geography and Natural Resources. - 2009. - Vol. 30, Is. 2. - P126-130, DOI 10.1016/j.gnr.2009.06.006 . - ISSN 1875-3728
Аннотация: A forecast is made for ecologically hazardous phenomena: peat rising to the surface to form peat islands, their influence on navigation on the Angara river, appearance of peat crumbs, and water quality impairment resulting from the impounding of swamps by the Boguchany reservoir. В© 2009.

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Держатели документа:
Institute of Forest SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Karpenko, L.V.

/ A. V. Volokitina // Geography and Natural Resources. - 2009. - Vol. 30, Is. 1. - P66-72, DOI 10.1016/j.gnr.2009.03.013 . - ISSN 1875-3728
Аннотация: Experience in compiling maps for combustible vegetable materials in Central Evenkia using two methods is considered: the conjugate method of two modifications, i.e. using forest management data (sc. 1:100 000), and on the basis of the forest-typological map (sc. 1:25 000); the self-contained method using aerial photographs (sc. 1: 10 000). В© 2009.

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Держатели документа:
Institute of Forest SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Volokitina, A.V.

/ Ye. I. Ponomarev, A. I. Sukhinin // Mapping Sciences and Remote Sensing. - 2003. - Vol. 40, Is. 4. - P304-310 . - ISSN 0749-3878
Аннотация: Two Russian researchers outline a method whereby imagery from NOAA-series satellites is used to augment data derived from Russia's network of meteorological stations during extreme fire hazard situations. The focus more specifically is on developing a medium-range forecast of the fire hazard on the basis of repeated imaging and medium-range (10-day, 3-day) weather forecasts, for the purpose of compiling forecast maps of fire danger to support fire detection, prevention, firefighting measures, as well as the timely deployment of personnel and equipment. Translated by Edward Torrey, Alexandria, Virginia, from: Geografiya i prirodnyye resursy, 2002, No. 4, pp. 112-117. В© 2003 by V. H. Winston and Son, Inc. All rights reserved.

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Держатели документа:
Institute of Forestry, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ponomarev, Ye.I.; Sukhinin, A.I.

/ D. I. Nazimova, N. P. Polikarpov // Silva Fennica. - 1996. - Vol. 30, Is. 2-3. - P201-208 . - ISSN 0037-5330
Аннотация: A system of zonality in Siberia has been formed under the control of continentality, which provides the heat and humidity regimes of the forest provinces. Three sectors of continentality and four to six boreal subzones form a framework for the systematisation of the different features of land cover in Siberia. Their climatic ordination provides the fundamental basis for the principal potential forest types (composition, productivity) forecasting the current climate. These are useful in predicting the future transformations and successions under global changes.

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Держатели документа:
V. N. Sukhachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk 660036, Russian Federation

Доп.точки доступа:
Nazimova, D.I.; Polikarpov, N.P.

/ J. K. Shuman [et al.] // Can. J. For. Res. - 2015. - Vol. 45, Is. 2. - P175-184, DOI 10.1139/cjfr-2014-0138 . - ISSN 0045-5067
Аннотация: Vegetation models are essential tools for projecting large-scale land-cover response to changing climate, which is expected to alter the distribution of biomes and individual species. A large-scale bioclimatic envelope model (RuBCliM) and an individual species based gap model (UVAFME) are used to simulate the Russian forests under current and future climate for two greenhouse gas emissions scenarios. Results for current conditions are compared between models and assessed against two independent maps of Russian forest biomes and dominant tree species. Comparisons measured with kappa statistics indicate good agreement between the models (kappa values from 0.76 to 0.69), as well as between the model results and two observationbased maps for both species presence and absence (kappa values from 0.70 to 0.43). Agreement between these multiple types of data on forest distribution provides confidence in the projected forest response to changing climate. For future conditions, both models indicate a shift in the dominant biomes from conifers to deciduous leaved species. These projections have implications for feedbacks between the energy budget, carbon cycle, and land cover in the boreal system. The distinct biome and species changes emphasize the need for continued investigation of this landmass that has the size necessary to influence regional and global climate.

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Держатели документа:
University of Virginia, Department of Environmental Sciences, Clark Hall, 291 McCormick Road, P.O. Box 400123Charlottesville, VA, United States
Sukachev Institute of Forest, Russian Academy of SciencesKrasnoyarsk, Russian Federation
National Institute of Aerospace, NASA Langley Research Center, Climate Science and Radiation and Aerosols Branches, 21 Langley Blvd. MS 420Hampton, VA, United States
Center for Problems of Ecology and Productivity of Forests, Russian Academy of SciencesMoscow, Russian Federation
University of Virginia, Alliance for Computational Science and EngineeringCharlottesville, VA, United States

Доп.точки доступа:
Shuman, J.K.; Tchebakova, N.M.; Parfenova, E.I.; Soja, A.J.; Shugart, H.H.; Ershov, D.; Holcomb, K.

[Text] / J. K. Shuman [et al.] // Can. J. For. Res. - 2015. - Vol. 45, Is. 2. - P175-184, DOI 10.1139/cjfr-2014-0138. - Cited References:53. - This work was funded by NASA grants to H.H. Shugart (Terrestrial Ecology10-CARBON10-0068) and A.J. Soja (Inter-Disciplinary Science09-IDS09-116). We thank the anonymous reviewers and V.A. Seamster forhelpful comments on earlier versions of this manuscript, and RobertSmith for figure preparation. We also appreciate the software packagesthat made this work possible: IDRISI developed in 1987 by R.J. Eastmanat Clark University in Worcester, Massachusetts, USA, and ESRI 2008(ESRI ArcGIS version 9.3, ESRI, Redlands, California, USA). . - ISSN 0045-5067. - ISSN 1208-6037РУБ Forestry

Аннотация: Vegetation models are essential tools for projecting large-scale land-cover response to changing climate, which is expected to alter the distribution of biomes and individual species. A large-scale bioclimatic envelope model (RuBCliM) and an individual species based gap model (UVAFME) are used to simulate the Russian forests under current and future climate for two greenhouse gas emissions scenarios. Results for current conditions are compared between models and assessed against two independent maps of Russian forest biomes and dominant tree species. Comparisons measured with kappa statistics indicate good agreement between the models (kappa values from 0.76 to 0.69), as well as between the model results and two observation-based maps for both species presence and absence (kappa values from 0.70 to 0.43). Agreement between these multiple types of data on forest distribution provides confidence in the projected forest response to changing climate. For future conditions, both models indicate a shift in the dominant biomes from conifers to deciduous leaved species. These projections have implications for feedbacks between the energy budget, carbon cycle, and land cover in the boreal system. The distinct biome and species changes emphasize the need for continued investigation of this landmass that has the size necessary to influence regional and global climate.

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Держатели документа:
Univ Virginia, Dept Environm Sci, Charlottesville, VA 22904 USA.
Russian Acad Sci, Sukachev Inst Forest, Krasnoyarsk, Russia.
NASA, Natl Inst Aerosp, Langley Res Ctr, Climate Sci Branch, Hampton, VA 23681 USA.
NASA, Natl Inst Aerosp, Langley Res Ctr, Radiat & Aerosols Branch, Hampton, VA 23681 USA.
Russian Acad Sci, Ctr Problems Ecol & Prod Forests, Moscow, Russia.
Univ Virginia, Alliance Computat Sci & Engn, Charlottesville, VA 22904 USA.
ИЛ СО РАН

Доп.точки доступа:
Shuman, Jacquelyn K.; Tchebakova, Nadezhda M.; Parfenova, Elena I.; Soja, Amber J.; Shugart, Herman H.; Ershov, Dmitry; Holcomb, Katherine; NASA [10-CARBON10-0068, 09-IDS09-116]

/ A. Kryazhimskiy [et al.] // Technol. Forecast. Soc. Change. - 2015. - Vol. 98. - P245-254, DOI 10.1016/j.techfore.2015.06.003 . - ISSN 0040-1625
Аннотация: This paper deals with the issue of reconciling gaps between stochastic estimates (probability distributions) provided by alternative statistically inaccurate observation/estimation techniques. We employ a posterior reconciliation (integration) method based on selection of mutually compatible test outcomes. Unlike other methods used in this context, the posterior integration method employed does not include assessment of the credibility of the original (prior) estimation sources, which is usually based on analysis of their past performance. The quality of the resulting posterior integrated distribution is evaluated in terms of change in the variance. The method is illustrated by integration of stochastic estimates of the annual net primary production (NPP) of forest ecosystems in seven bioclimatic zones of Russia. The estimates result from the use of two alternative NPP estimation techniques - the landscape-ecosystem approach based on empirical knowledge, and an ensemble of dynamic global vegetation models. The estimates differ by up to 23%. Elimination of these gaps could help better quantify the terrestrial ecosystems' input to the global carbon cycle. The paper suggests a set of candidates for credible integrated NPP estimates for Russia, which harmonize those provided by two alternative sources. © 2015 Elsevier Inc.

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Держатели документа:
International Institute for Applied Systems Analysis, Schlossplatz 1, Laxenburg, Austria
Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, 2nd Educational Building, Leninskie Gory, Moscow, Russian Federation
Steklov Mathematical Institute, 8 Gubkina str., Moscow, Russian Federation
Sukachev Institute of Forest, Siberian Branch RAS, Akademgorodok, Krasnoyarsk, Russian Federation
Department of International Information, Lviv Polytechnic National University, 12 Bandera str., Lviv, Ukraine
Moscow State Forest University, 1 Institutskayastr., Mytischi, Moscow region, Russian Federation

Доп.точки доступа:
Kryazhimskiy, A.; Rovenskaya, E.; Shvidenko, A.; Gusti, M.; Shchepashchenko, D.; Veshchinskaya, V.

/ O. A. Antamoshkin, O. A. Antamoshkina, N. A. Smirnov // 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/122/1/012003 . -
Аннотация: The paper outlines the general concept of multi-agent approach to develop the automation system for monitoring, forecasting and managing emergency situations and its models and algorithms included. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation

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

[Текст] : статья / Владимир Алексеевич Соколов [и др.] // Сибирский лесной журнал. - 2017. - № 4. - С. 91-100, DOI 10.15372/SJFS20170408 . - ISSN 2311-1410
   Перевод заглавия: Forecast for the dynamics of forests in Krasnoyarsk krai

УДК

630*6

Аннотация: Динамика лесных экосистем тесно связана с естественными и антропогенными изменениями (сукцессионными процессами, лесными пожарами, ветровалами, очагами вредителей леса, рубками, лесовосстановительными мероприятиями, развитием инфраструктуры, связанной и не связанной с лесным хозяйством, и др.). Модная проблема глобального потепления климата на Земле не рассматривается, поскольку мнения в научном мире неоднозначны. Ретроспективный анализ динамики лесного фонда Красноярского края за 50-летний период позволил дать оценку влияния этих изменений на состояние лесов. Сделан однозначный вывод о существенном ухудшении качественного состава лесного фонда края. Площадь хвойных насаждений уменьшилась на 9 %, а спелых и перестойных в них - на 25 %. Для прогнозирования динамики лесов применялось моделирование природных и антропогенных процессов в лесных экосистемах, при этом учитывалось, что существующая система мероприятий по воспроизводству и уходу за лесом фактически не влияет на динамику лесного фонда. При разработке прогноза использовано положение стратегии развития лесопромышленного комплекса края об увеличении объема заготовки древесины до 37.6 млн м3. Доказано, что заготовка древесины в таком размере неизбежно приведет к перерубу допустимого изъятия древесины по эколого-экономическим соображениям, что негативно отразится на состоянии лесного фонда через 50 лет. Разработанный нами прогноз динамики лесного фонда Красноярского края на следующее 50-летие показал, что при сохранении существующей экстенсивной формы лесоуправления негативные изменения продолжатся такими же темпами, причем наибольшее уменьшение площади будет наблюдаться в сосновой хозсекции (33.3 %) при существенном увеличении площади лиственной (22.7 %). Для улучшения ситуации в лесном секторе России необходимо коренное изменение системы управления лесами.
Dynamics of the forest ecosystems connects closely with the natural and anthropogenic changes (succession processes, forest fires, windfalls, forest insects, forest diseases, forest harvesting, reforestation, the infrastructure development associated and not associated with forestry and so forth). Authors do not consider the up-to-day problem of global warming on the Earth, as opinions of scientists are controversial. Retrospective analysis of forest dynamics of the Krasnoyarsk Territory for the last 50 years has allowed to assess the impact of these changes on condition of forests. The univocal conclusion of deterioration of forest quality has been drawn. Area of coniferous forests has decreased by 9 %, including the 25 % reduction of mature and overmature forest stands. To forecast forest dynamics, modelling of natural and anthropogenic processes in the forest ecosystems has been applied, taking into account that the existing system of measures for reforestation and tending care of forest actually does not affect dynamics of the forests. The provision about increase in forest harvesting volume to 37.6 million м3 of the Development Strategy of the Krasnoyarsk Forest Industrial Complex has been used for forecasting. It has been proved that such scale of forest harvesting will inevitably lead to the over-cutting of ecological and economic accessible allowable cut that will negatively affect the forest condition in 50 years. Our forecast of forest dynamics of the Krasnoyarsk Territory for the next 50 years has showed that negative changes will continue at the same pace under the current extensive form of forest management. What is more, the maximum decrease of forest area might be in pine forests (32.9 %) with the significant increase of broadleaves forests - 22.7 %. To improve the situation in the Russian forest sector, a radical change in the system of forest management is needed.

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Держатели документа:
Институт леса им. В. Н. Сукачева СО РАН
ООО «Лес-Ком»

Доп.точки доступа:
Соколов, Владимир Алексеевич; Sokolov V.A.; Соколова, Настасья Владимировна; Sokolova N.V.; Втюрина, Ольга Петровна; Vtyurina O.P.; Лапин, Евгений Александрович; Lapin E.A.

/ P. Groisman [et al.] // Prog. Earth Planet. Sci. - 2017. - Vol. 4. - Ст. 41, DOI 10.1186/s40645-017-0154-5. - Cited References:493. - Support for most of the US authors and contributors of this paper as well as the multiannual support for the office of the NEESPI Project Scientist was provided by the NASA Land Cover and Land Use Change (LCLUC) Program, in particular, by grants NNX13AC66G, NNX11AB77G, NNX13AN58G, NNX15AD10G, NAG5-11084, 08-LCLUC08-2-0003, NNX14AD88G, NNX08AW51G, NNX12AD34G, NNX14AD91G, and NNX15AP81G. The research carried out at the Jet Propulsion Laboratory, California Institute of Technology, was also supported by the NASA LCLUC Program. Support of NASA grants 08-TE08-029 and NNH09ZDA001N-IDS for AS and NT are acknowledged. Research of MS is supported by Newton-al-Farabi Fund (grant 172722855). Grant 14.B25.31.0026 of the Ministry of Education and Science of the Russian Federation provided support to PG, SG, NT, AS, OB, BP, and IP for their work conducted at the P. P. Shirshov Institute of Oceanology. The Project "ARCTIC-ERA: ARCTIC climate change and its impact on Environment, infrastructures, and Resource Availability" sponsored by: ANR (France), RFBR (Russia), and the US NSF (grants 1717770 and 1558389) in response to Belmont Forum Collaborative Research Action on Arctic Observing and Research for Sustainability provided support for OZ, SG, BP, PG, and NS. A part of the paper is based on the research carried out with the financial support of the Russian Foundation for Basic Research (Project No. 15-06-08163 "Assessment and forecast of the socioeconomic and environmental implications of the climate change in the Arctic region"). Support for AP is provided by the Russian Government Program of Competitive Growth of Kazan Federal University (OpenLab Initiative). Support for JA is provided by grant NPUILO1417 of the Ministry of Education, Youth and Sports of Czechia. . - ISSN 2197-4284РУБ Geosciences, Multidisciplinary

Аннотация: During the past several decades, the Earth system has changed significantly, especially across Northern Eurasia. Changes in the socio-economic conditions of the larger countries in the region have also resulted in a variety of regional environmental changes that can have global consequences. The Northern Eurasia Future Initiative (NEFI) has been designed as an essential continuation of the Northern Eurasia Earth Science Partnership Initiative (NEESPI), which was launched in 2004. NEESPI sought to elucidate all aspects of ongoing environmental change, to inform societies and, thus, to better prepare societies for future developments. A key principle of NEFI is that these developments must now be secured through science-based strategies co-designed with regional decision-makers to lead their societies to prosperity in the face of environmental and institutional challenges. NEESPI scientific research, data, and models have created a solid knowledge base to support the NEFI program. This paper presents the NEFI research vision consensus based on that knowledge. It provides the reader with samples of recent accomplishments in regional studies and formulates new NEFI science questions. To address these questions, nine research foci are identified and their selections are briefly justified. These foci include warming of the Arctic; changing frequency, pattern, and intensity of extreme and inclement environmental conditions; retreat of the cryosphere; changes in terrestrial water cycles; changes in the biosphere; pressures on land use; changes in infrastructure; societal actions in response to environmental change; and quantification of Northern Eurasia's role in the global Earth system. Powerful feedbacks between the Earth and human systems in Northern Eurasia (e.g., mega-fires, droughts, depletion of the cryosphere essential for water supply, retreat of sea ice) result from past and current human activities (e.g., large-scale water withdrawals, land use, and governance change) and potentially restrict or provide new opportunities for future human activities. Therefore, we propose that integrated assessment models are needed as the final stage of global change assessment. The overarching goal of this NEFI modeling effort will enable evaluation of economic decisions in response to changing environmental conditions and justification of mitigation and adaptation efforts.

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NOAA, Natl Ctr Environm Informat, Fed Bldg,151 Patton Ave, Asheville, NC 28801 USA.
Univ Virginia, Dept Environm Sci, 291 McCormick Dr, Charlottesville, VA 22904 USA.
Marine Biol Lab, Ecosyst Ctr, Woods Hole, MA 02543 USA.
South Dakota State Univ, Geospatial Sci Ctr Excellence, 1021 Medary Ave,Wecota Hall 506B, Brookings, SD 57007 USA.
RAS, Sukachev Inst Forest, Fed Res Ctr, Krasnoyarsk Sci Ctr,SB, 50-28 Akademgorodok, Krasnoyarsk 660036, Russia.
Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
MIT, Joint Program Sci & Policy Global Change, Cambridge, MA 02139 USA.
NASA Headquarters, NASA Land Cover Land Use Change Program, Mail Suite 3B74,Room 3Y77,300 E St SW, Washington, DC 20546 USA.
RAS, PP Shirshov Inst Oceanol, 36 Nakhimovsky Ave, Moscow 117218, Russia.
Michigan State Univ, Dept Geog, 673 Auditorium Rd, E Lansing, MI 48824 USA.
Univ Copenhagen, Sect Geog, Dept Geosci & Nat Resource Managemen, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark.
RAS, Inst Econ Forecasting, 47 Nakhimovsky Ave, Moscow 117418, Russia.
Univ New Hampshire, Earth Syst Res Ctr, Morse Hall,8 Coll Rd,Rm 21, Durham, NH 03824 USA.
Univ Maryland, Dept Geog Sci, 1121 LeFrak Hall,7251 Preinkert Dr, College Pk, MD 20742 USA.
George Washington Univ, Dept Geog, Old Main Bldg,1922 F St NW, Washington, DC 20052 USA.
CALTECH, Jet Prop Lab, MS 300-235,4800 Oak Grove Dr, Pasadena, CA 91109 USA.
Univ Michigan, Sch Nat Resources & Environm, 440 Church St, Ann Arbor, MI 48109 USA.
Charles Univ Prague, Fac Sci, Dept Expt Plant Biol, Vinicna 5, Prague 12844, Czech Republic.
Michigan State Univ, Ctr Global Change & Earth Observat, 1405 S Harrison Rd, E Lansing, MI 48823 USA.
Univ Reading, Dept Geog & Environm Sci, Reading RG6 6AB, Berks, England.
IIASA, Ecosyst Serv & Management Program, Schlosspl 1, A-2361 Laxenburg, Austria.
State Hydrol Inst, 2nd Lane, St Petersburg 199053, Russia.
NASA Langley Res Ctr, Natl Inst Aerosp, 21 Langley Blvd,MS 420, Hampton, VA 23681 USA.
Univ Oklahoma, Dept Geog & Environm Sustainabil, 100 East Boyd St,SEC Suite 510, Norman, OK 73019 USA.
Russian Inst Hydrometeorol Informat, 6 Koroleva St, Obninsk 249020, Kaluga Area, Russia.
Michigan Tech Res Inst, 3600 Green Court,Suite 100, Ann Arbor, MI 48105 USA.
Miami Univ, Dept Geog, 250 S Patterson Ave, Oxford, OH 45056 USA.
Purdue Univ, 550 Stadium Mall Dr, W Lafayette, IN 47907 USA.
Joseph Fourier Univ Grenoble 1, Lab Glaciol & Geophys Environm, 54 Rue Moliere,BP 96, F-38402 St Martin Dheres, France.
Hydrol Sci & Serv Corp, 920 Rockhold Dr, Asheville, NC 28804 USA.
Kazan Fed Univ, Inst Environm Sci, Tovarishcheskaya Str 5, Kazan 420097, Russia.

Доп.точки доступа:
Groisman, Pavel; Shugart, Herman; Kicklighter, David; Henebry, Geoffrey; Tchebakova, Nadezhda; Maksyutov, Shamil; Monier, Erwan; Gutman, Garik; Gulev, Sergey; Qi, Jiaguo; Prishchepov, Alexander; Kukavskaya, Elena; Porfiriev, Boris; Shiklomanov, Alexander; Loboda, Tatiana; Shiklomanov, Nikolay; Nghiem, Son; Bergen, Kathleen; Albrechtova, Jana; Chen, Jiquan; Shahgedanova, Maria; Shvidenko, Anatoly; Speranskaya, Nina; Soja, Amber; de Beurs, Kirsten; Bulygina, Olga; McCarty, Jessica; Zhuang, Qianlai; Zolina, Olga; NASA Land Cover and Land Use Change (LCLUC) Program [NNX13AC66G, NNX11AB77G, NNX13AN58G, NNX15AD10G, NAG5-11084, 08-LCLUC08-2-0003, NNX14AD88G, NNX08AW51G, NNX12AD34G, NNX14AD91G, NNX15AP81G]; NASA LCLUC Program; NASA [08-TE08-029, NNH09ZDA001N-IDS]; Newton-al-Farabi Fund [172722855]; Ministry of Education and Science of the Russian Federation [14.B25.31.0026]; ANR (France); RFBR (Russia); US NSF [1717770, 1558389]; Russian Foundation for Basic Research [15-06-08163]; Russian Government Program of Competitive Growth of Kazan Federal University (OpenLab Initiative); Ministry of Education, Youth and Sports of Czechia [NPUILO1417]

/ T. A. Shestakova [et al.] // Forests. - 2017. - Vol. 8, Is. 12. - Ст. 490, DOI 10.3390/f8120490. - Cited References:84. - This study was funded by the Spanish Government (grant number AGL2015-68274-C3-3-R) and the Russian Science Foundation (project numbers 14-14-00295, sampling and tree-ring data obtainment and 14-14-00219-P, mathematical approach). We acknowledge P. Sopena and M.J. Pau for technical assistance. . - ISSN 1999-4907РУБ Forestry

Аннотация: Understanding climate change impacts on drought-prone forests is a critical issue. We investigated ring-width and stable isotopes (C-13 and O-18) in two Pinus sylvestris stands of the cold-dry Siberian forest-steppe growing under contrasting climatic trends over the last 75 years. Despite regional warming, there was increasing precipitation during the growing period at the southern site (MIN) but increasing water deficit (WD) at the northern site (BER). Intrinsic water use efficiency (WUEi) increased similarly (ca. 22%) in response to warming and rising atmospheric CO2. However, the steady increase in WUEi was accompanied by divergent growth patterns since 1980: increasing basal area increment (BAI) in MIN (slope = 0.102 cm(2) year(-2)) and decreasing BAI in BER (slope = -0.129 cm(2) year(-2)). This suggests that increased precipitation, mediated by CO2 effects, promoted growth in MIN, whereas intensified drought stress led to decreased carbon gain and productivity in BER. When compared to warm-dry stands of eastern Spain, the WUEi dependence on WD was three-fold greater in Siberia. Conversely, BAI was more affected by the relative impact of water stress within each region. These results indicate contrasting future trajectories of P. sylvestris forests, which challenge forecasting growth and carbon sequestration in cold-dry areas.

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Держатели документа:
Univ Lleida, Dept Crop & Forest Sci, AGROTECNIO Ctr, Avda Rovira Roure 191, Lleida 25198, Spain.
Siberian Fed Univ, Math Methods & IT Dept, St L Prushinskoy 2, Krasnoyarsk 660075, Russia.
Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
PSI, Lab Atmospher Chem, CH-5232 Villigen, Switzerland.
Sukachev Inst Forest, Akademgorodok 50-28, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Inst Ecol & Geog, Pr Svobodny 82, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Shestakova, Tatiana A.; Voltas, Jordi; Saurer, Matthias; Siegwolf, Rolf T. W.; Kirdyanov, Alexander V.; Spanish Government [AGL2015-68274-C3-3-R]; Russian Science Foundation [14-14-00295, 14-14-00219-P]

[Текст] : статья / М. Д. ЕВДОКИМЕНКО // География и природные ресурсы. - 2019. - № 4. - С. 44-55 . - ISSN 0206-1619
   Перевод заглавия: LANDSCAPE FIRES IN TRANSBAIKALIA

УДК	502.7.630.431.1

Аннотация: Приведены результаты полувекового изучения природных пожаров в Забайкалье. Выполнены стационарные экс периментальные исследования пожароопасности растительности по всем высотным поясам, репрезентативным ландшафтным местностям и типам леса. Маршрутные исследования проведены в разных природных округах. На про тяжении двух сезонов осуществлен авиамониторинг ландшафтных пожаров. Прослежены долговременные последствия пожаров на Байкальской природной территории и в Центральном Забайкалье. Проанализированы пирологические режимы в растительных комплексах, по каждому из которых определена длительность пожароопасного состояния как суммарная за весь сезон, так и непрерывная за период пожарного максимума. Характеристики режимов по вы сотным поясам приведены в трех вариантах в зависимости от количества осадков за сезон (обычный, засушливый, влажный). Выявлено, что ландшафтные пожары возникают при интенсивном и экстремальном режимах, когда устанавливается исключительная, по сравнению с сопредельными регионами, пирологическая монотонность расти тельных комплексов на большей части территории. В подобной ситуации практически отсутствуют естественные препятствия для огня, кроме широких рек, озер и гребней горных хребтов. Высокая горимость лесов обусловлена пре обладанием в их составе светлохвойных насаждений. Стремительному распространению пожаров способствуют сухие травостои и заросли пожароопасных кустарников, по которым огонь движется почти со скоростью ветра. Установ лено, что некошеные луга, заброшенные выпасы и пашни у поселковых околиц чреваты опустошительными пожарами не только в лесах, но и в населенных пунктах. В ситуации, подобной возникшей в 2015 г., ландшафтные пожары превращаются в природную катастрофу с тяжелыми лесоэкологическими последствиями. Уцелевшие древостои снижа ют продуктивность, изреживаются, а далее подвержены все более усугубляющейся дигрессии от последующих огневых воздействий. На гарях происходит локальное обезлесение, либо длительная смена хвойных насаждений лиственными. Грядущий сток с обширных выгоревших площадей может усугубить загрязнение оз. Байкал. Сделан вывод, что при влечение резервов МЧС для устранения последней огненной стихии в Прибайкалье оказалось малополезным вследствие запоздания. Альтернативой представляется заблаговременное прогнозирование высокого риска возникновения ланд шафтных пожаров с целью оперативной ликвидации возгораний, чтобы оперативно тушить все загорания при уме ренных затратах, не допуская их превращения в природную катастрофу.
This paper presents results of wildfire studies conducted Transbaikalia over the last five decades. Station-based experimen tal investigations into fire hazards of vegetation accomplished at the regional forest fire stations during those years covered all altitudinal vegetation zones, representative landscape localities and forest types. Route investigations were made in different natural areas. Arial monitoring of landscape fires was used during two fire seasons. Long-term effects of fires in the Baikal Natural Area and in Central Transbaikalia were investigated. Fire regimes in vegetation complexes were analyzed and for each of them the duration of the fire hazard was determined both as the total duration for the entire season and as a continuous duration for the period of the fire maximum. Characteristics of the regimes for the altitudinal belts are provided in three versions according to precipitation amounts for a season (normal, dry and wet). It is found that forest fires occur in intensive and extreme fire regimes when most of the vegetation complexes of the region become exceptionally hazardous as compared to adjacent areas. In such a situation, there are almost no barriers to fire, except for broad rivers, lakes and mountain crests. The forest fire fre quency index is high due to a predominance of light coniferous stands. A rapid spread of fires is also promoted by dry grass stands and fire-hazardous shrubs where the fire is spreading nearly as fast as the speed of wind. It was established that unmown mead ows, and abandoned pastures and croplands in the outskirts of villages present the threat of devastating fires not only in forests but also in settlements. In a situation, such as the one that arose in 2015, landscape fires turn to a natural disaster with severe forest-ecological consequences. Surviving forest stands decrease in productivity and increase in self-thinning, followed by an increasing degradation caused by subsequently recurring fires. Burns undergo local deforestation or a long-lasting replacement of coniferous stands by deciduous forests. The future runoff from the burned-over areas is able to enhance pollution of Lake Baikal. It is concluded that the EMERCOM resources used to fight the latest fires in Transbaikalia showed very little promise because of being delayed. A reasonable alternative to EMERCOM would involve advanced forecasting of high risks of fire oc currence in order to rapidly fight fires with moderate expenses without letting them turning to a natural disaster.

РИНЦ

Держатели документа:
Институт леса им. В.Н. Сукачёва СО РАН

Доп.точки доступа:
ЕВДОКИМЕНКО, М.Д.; EVDOKIMENKO M.D.

/ F. C. Ljungqvist, A. Piermattei, A. Seim [et al.] // Quat. Sci. Rev. - 2020. - Vol. 230. - Ст. 106074, DOI 10.1016/j.quascirev.2019.106074 . - ISSN 0277-3791
Аннотация: To place recent hydroclimate changes, including drought occurrences, in a long-term historical context, tree-ring records serve as an important natural archive. Here, we evaluate 46 millennium-long tree-ring based hydroclimate reconstructions for their Data Homogeneity, Sample Replication, Growth Coherence, Chronology Development, and Climate Signal based on criteria published by Esper et al. (2016) to assess tree-ring based temperature reconstructions. The compilation of 46 individually calibrated site reconstructions includes 37 different tree species and stem from North America (n = 29), Asia (n = 10); Europe (n = 5), northern Africa (n = 1) and southern South America (n = 1). For each criterion, the individual reconstructions were ranked in four groups, and results showed that no reconstruction scores highest or lowest for all analyzed parameters. We find no geographical differences in the overall ranking, but reconstructions from arid and semi-arid environments tend to score highest. A strong and stable hydroclimate signal is found to be of greater importance than a long calibration period. The most challenging trade-off identified is between high continuous sample replications, as well as a well-mixed age class distribution over time, and a good internal growth coherence. Unlike temperature reconstructions, a high proportion of the hydroclimate reconstructions are produced using individual series detrending methods removing centennial-scale variability. By providing a quantitative and objective evaluation of all available tree-ring based hydroclimate reconstructions we hope to boost future improvements in the development of such records and provide practical guidance to secondary users of these reconstructions. © 2019 The Authors

Scopus

Держатели документа:
Department of History, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Swedish Collegium for Advanced Study, Uppsala, Sweden
Department of Geography, University of Cambridge, Cambridge, United Kingdom
Chair of Forest Growth, Institute of Forest Sciences, Albert Ludwig University of Freiburg, Freiburg, Germany
Department of Physical Geography, Stockholm University, Stockholm, Sweden
Dendro Sciences Group, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
CzechGlobe Global Change Research Institute CAS, Brno, Czech Republic
Department of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic
Center for Ecological Forecasting and Global Change, College of Forestry, Northwest Agriculture and Forestry University, Yangling, China
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Akademgorodok, Russian Federation
Institute of Ecology and Geography, Siberian Federal University, Krasnoyarsk, Russian Federation
Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus Liebig University, Giessen, Germany
Centre for International Development and Environmental Research, Justus Liebig University, Giessen, Germany
Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
Georges Lemaitre Centre for Earth and Climate Research, Universite Catholique de Louvain, Louvain-la-Neuve, Belgium
Department of Geosciences, University of Arkansas, Fayetteville, United States
Instituto Argentino de Nivologia, Glaciologia y Ciencias Ambientales IANIGLA, CCT-CONICET-Mendoza, Mendoza, Argentina
Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
Department of Geography, Johannes Gutenberg University, Mainz, Germany

Доп.точки доступа:
Ljungqvist, F. C.; Piermattei, A.; Seim, A.; Krusic, P. J.; Buntgen, U.; He, M.; Kirdyanov, A. V.; Luterbacher, J.; Schneider, L.; Seftigen, K.; Stahle, D. W.; Villalba, R.; Yang, B.; Esper, J.

/ F. C. Ljungqvist, A. Piermattei, A. Seim [et al.] // Quat. Sci. Rev. - 2020. - Vol. 230. - Ст. 106074, DOI 10.1016/j.quascirev.2019.106074. - Cited References:225. - We are grateful to all colleagues for sharing and providing their tree-ring chronologies and measurement series. F.C.L. was supported by the Swedish Research Council (Vetenskapsradet, grant 2018-01272), A.S. by the German Research Foundation (Deutsche Forschungsgemeinschaft, SE 2802/1-1), U.B by the Czech Republic Grant Agency project no. 17-22102S, M.H. by the Alexander von Humboldt Foundation, J.L., L.S. and B.Y. by the Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (BMBF grant 01LP1612A; NERC grant NE/P006809/1; NSFC grant 41661144008), K.S. by FORMAS (grant 2014-723) and the Swiss National Science Foundation SNSF (project XELLCLIM no. 200021-182398), I.E. by the German Research Foundation (Deutsche Forschungsgemeinschaft, grants Inst 247/665-1 FUGG and ES 161/9-1). F.C.L. acknowledges a longer stay as Visiting Scholar at the Department of Geography, University of Cambridge, allowing time and inspiration to pursue this study. All reconstructions, with the data in the public domain, and their corresponding scores are provided at www.blogs.uni-mainz.de/fb09climatology. . - ISSN 0277-3791РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: To place recent hydroclimate changes, including drought occurrences, in a long-term historical context, tree-ring records serve as an important natural archive. Here, we evaluate 46 millennium-long tree-ring based hydroclimate reconstructions for their Data Homogeneity, Sample Replication, Growth Coherence, Chronology Development, and Climate Signal based on criteria published by Esper et al. (2016) to assess tree-ring based temperature reconstructions. The compilation of 46 individually calibrated site reconstructions includes 37 different tree species and stem from North America (n = 29), Asia (n = 10); Europe (n = 5), northern Africa (n = 1) and southern South America (n = 1). For each criterion, the individual reconstructions were ranked in four groups, and results showed that no reconstruction scores highest or lowest for all analyzed parameters. We find no geographical differences in the overall ranking, but reconstructions from arid and semi-arid environments tend to score highest. A strong and stable hydroclimate signal is found to be of greater importance than a long calibration period. The most challenging trade-off identified is between high continuous sample replications, as well as a well-mixed age class distribution over time, and a good internal growth coherence. Unlike temperature reconstructions, a high proportion of the hydroclimate reconstructions are produced using individual series detrending methods removing centennial-scale variability. By providing a quantitative and objective evaluation of all available tree-ring based hydroclimate reconstructions we hope to boost future improvements in the development of such records and provide practical guidance to secondary users of these reconstructions. (C) 2019 The Authors. Published by Elsevier Ltd.

WOS

Держатели документа:
Stockholm Univ, Dept Hist, SE-10691 Stockholm, Sweden.
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden.
Swedish Collegium Adv Study, Uppsala, Sweden.
Univ Cambridge, Dept Geog, Cambridge, England.
Albert Ludwig Univ Freiburg, Inst Forest Sci, Chair Forest Growth, Freiburg, Germany.
Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.
Swiss Fed Res Inst WSL, Dendro Sci Grp, Birmensdorf, Switzerland.
CAS, CzechGlobe Global Change Res Inst, Brno, Czech Republic.
Masaryk Univ, Fac Sci, Dept Geog, Brno, Czech Republic.
Northwest Agr & Forestry Univ, Coll Forestry, Ctr Ecol Forecasting & Global Change, Yangling, Shaanxi, Peoples R China.
RAS, SB, Sukachev Inst Forest, Krasnoyarsk, Russia.
Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia.
Justus Liebig Univ, Dept Geog Climatol Climate Dynam & Climate Change, Giessen, Germany.
Justus Liebig Univ, Ctr Int Dev & Environm Res, Giessen, Germany.
Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden.
Catholic Univ Louvain, Georges Lemaitre Ctr Earth & Climate Res, Louvain La Neuve, Belgium.
Univ Arkansas, Dept Geosci, Fayetteville, AR 72701 USA.
CONICET Mendoza, CCT, Inst Argentino Nivol Glaciol & Ciencias Ambiental, Mendoza, Argentina.
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China.
Johannes Gutenberg Univ Mainz, Dept Geog, Mainz, Germany.

Доп.точки доступа:
Ljungqvist, Fredrik Charpentier; Piermattei, Alma; Seim, Andrea; Krusic, Paul J.; Buntgen, Ulf; He, Minhui; Kirdyanov, Alexander V.; Luterbacher, Juerg; Schneider, Lea; Seftigen, Kristina; Stahle, David W.; Villalba, Ricardo; Yang, Bao; Esper, Jan; Swedish Research Council (Vetenskapsradet)Swedish Research Council [2018-01272]; German Research Foundation (Deutsche Forschungsgemeinschaft)German Research Foundation (DFG) [ES 161/9-1, SE 2802/1-1, Inst 247/665-1 FUGG]; Czech Republic Grant AgencyGrant Agency of the Czech Republic [17-22102S]; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (BMBF)Federal Ministry of Education & Research (BMBF) [01LP1612A]; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (NERC) [NE/P006809/1]; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (NSFC)National Natural Science Foundation of China [41661144008]; FORMASSwedish Research Council Formas [2014-723]; Swiss National Science Foundation SNSF (project XELLCLIM)Swiss National Science Foundation (SNSF) [200021-182398]

/ M. D. Evdokimenko // Geogr. Natural Resources. - 2019. - Vol. 40, Is. 4. - P335-345, DOI 10.1134/S187537281904005X. - Cited References:24 . - ISSN 1875-3728. - ISSN 1875-371XРУБ Geography

Аннотация: This paper presents results of wildfire studies conducted Transbaikalia over the last five decades. Station-based experimental investigations into fire hazards of vegetation accomplished at the regional forest fire stations during those years covered all altitudinal vegetation zones, representative landscape localities and forest types. Route investigations were made in different natural areas. Arial monitoring of landscape fires was used during two fire seasons. Long-term effects of fires in the Baikal Natural Area and in Central Transbaikalia were investigated. Fire regimes in vegetation complexes were analyzed and for each of them the duration of the fire hazard was determined both as the total duration for the entire season and as a continuous duration for the period of the fire maximum. Characteristics of the regimes for the altitudinal belts are provided in three versions according to precipitation amounts for a season (normal, dry and wet). It is found that forest fires occur in intensive and extreme fire regimes where most of the vegetation complexes of the region become exceptionally hazardous as compared to adjacent areas. In such a situation, there are almost no barriers to fire, except for broad rivers, lakes and mountain crests. The forest fire frequency index is high due to a predominance of light coniferous stands. A rapid spread of fires is also promoted by dry grass stands and fire-hazardous shrubs where the fire is spreading nearly as fast as the speed of wind. It was established that unmown meadows, and abandoned pastures and croplands in the outskirts of villages present the threat of devastating fires not only in forests but also in settlements. In a situation, such as the one that arose in 2015, landscape fires turn to a natural disaster with severe forest-ecological consequences. Surviving forest stands decrease in productivity and increase in self-thinning, followed by an increasing degradation caused by subsequently recurring fires. Burns undergo local deforestation or a long-lasting replacement of coniferous stands by deciduous forests. The future runoff from the burned-over areas is able to enhance pollution of Lake Baikal. It is concluded that the EMERCOM resources used to fight the latest fires in Transbaikalia showed very little promise because of being delayed. A reasonable alternative to EMERCOM would involve advanced forecasting of high risks of fire occurrence in order to rapidly fight fires with moderate expenses without letting them turning to a natural disaster.

WOS

Держатели документа:
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Evdokimenko, M. D.

/ E. V. Fedotova, Yu. A. Maglinets, R. V. Brezhnev, A. G. Vyrvinskiy // Sovrem. Probl. Distancionnogo Zondirovania Zemli kosm. - 2020. - Vol. 17, Is. 4. - С. 195-203, DOI 10.21046/2070-7401-2020-17-4-195-203 . - ISSN 2070-7401
Аннотация: Evaluation of vegetation bio-productivity, yield prediction, is effectively carried out using simulation models of plant growth. To calculate the value of the aboveground biomass in these models, the leaf area index (LAI) is used. In the agromonitoring service of the Institute of Space and Information Technologies, a productivity forecasting component is being developed using available field map systems showing crops and remote sensing data in the public domain. In this paper, we propose an approach to solving the problem of obtaining the LAI time series during the growing season for agricultural objects. Landsat-8 OLI and Sentinel-2 medium resolution data are used. These data have time resolution restrictions. The use of daily MODIS data is not possible due to their low spatial resolution, taking into account the typical size of agricultural fields of Krasnoyarsk region central part. Algorithms for data fusion with low and medium spatial resolutions are considered to obtain NDVI with the necessary frequency in the absence of medium-resolution data. The construction of the NDVI using data from different systems for LAI estimation required the introduction of additive coefficients for time series alignment using the VEGA Pro service as the base values. The model of calculating LAI from NDVI in linear exponential form is used. The developed approach allows the LAI assessment with the frequency necessary for the work of the predictive model for yield estimating. © 2020 Space Research Institute of the Russian Academy of Sciences. All rights reserved.

Scopus

Держатели документа:
Siberian Federal University, Krasnoyarsk, 660074, Russian Federation
Sukachev Institute of Forest SB RAS, Krasnoyarsk Scientific Center SB RAS, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Fedotova, E. V.; Maglinets, Yu. A.; Brezhnev, R. V.; Vyrvinskiy, A. G.

/ J. J. Camarero, A. Gazol, R. Sanchez-Salguero [et al.] // Global Change Biol. - 2021, DOI 10.1111/gcb.15530 . - Article in press. - ISSN 1354-1013
Аннотация: Climate warming is expected to positively alter upward and poleward treelines which are controlled by low temperature and a short growing season. Despite the importance of treelines as a bioassay of climate change, a global field assessment and posterior forecasting of tree growth at annual scales is lacking. Using annually resolved tree-ring data located across Eurasia and the Americas, we quantified and modeled the relationship between temperature and radial growth at treeline during the 20th century. We then tested whether this temperature–growth association will remain stable during the 21st century using a forward model under two climate scenarios (RCP 4.5 and 8.5). During the 20th century, growth enhancements were common in most sites, and temperature and growth showed positive trends. Interestingly, the relationship between temperature and growth trends was contingent on tree age suggesting biogeographic patterns in treeline growth are contingent on local factors besides climate warming. Simulations forecast temperature–growth decoupling during the 21st century. The growing season at treeline is projected to lengthen and growth rates would increase and become less dependent on temperature rise. These forecasts illustrate how growth may decouple from climate warming in cold regions and near the margins of tree existence. Such projected temperature–growth decoupling could impact ecosystem processes in mountain and polar biomes, with feedbacks on climate warming. © 2021 John Wiley & Sons Ltd

Scopus

Держатели документа:
Instituto Pirenaico de Ecologia (IPE-CSIC, Zaragoza, Spain
Depto. de Sistemas Fisicos, Quimicos y Naturales, Universidad Pablo de Olavide, Sevilla, Spain
Centro de Investigacion en Ecosistemas de la Patagonia (CIEP), Coyhaique, Chile
Natural Resources Canada, Pacific Forestry Centre, Victoria, BC, Canada
Departament de Biologia Evolutiva, Ecologia i Ciencies Ambientals, Universitat de Barcelona, Barcelona, Spain
Centre for Ecological Research and Forestry Applications (CREAF), Bellatera, Spain
Centre d'Etudes Nordiques (CEN), Univ. Laval, Quebec, QC, Canada
Dip. TeSAF, Universita degli Studi di Padova, Legnaro (PD), Italy
Department of Botany and Plant Sciences, University of California, Riverside, CA, United States
Nepal Academy of Science and Technology, Kathmandu, Nepal
CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan, China
Norwegian Institute for Nature Research, Trondheim, Norway
CNRS Cerege, Technopole de L'Environnement Arbois-Mediterranee, Aix en Provence, France
Institute of Ecology and Geography, Siberian Federal University, Krasnoyarsk, Russian Federation
V.N.Sukachev Institute of Forest SB RAS, Federal Research Center ‘Krasnoyarsk Science Center SB RAS’, Krasnoyarsk, Russian Federation
Centre d'Etudes nordiques (CEN), Univ. Quebec a Trois-RivieresQC, Canada
Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
Norwegian Biodiversity Information Centre, Trondheim, Norway
Institute of Plant and Animal Ecology, UrB RAS, Ekaterinburg, Russian Federation
EiFAB-iuFOR, University of Valladolid, Soria, Spain
Department of Biological Sciences, University of Bergen, Bergen, Norway
Department of Biology, University of Turku, Turku, Finland
Department of Geography, M.V. Lomonosov Moscow State University, Moscow, Russian Federation
DendroGreif, Institute of Botany and Landscape Ecology, Univ. Greifswald, Greifswald, Germany

Доп.точки доступа:
Camarero, J. J.; Gazol, A.; Sanchez-Salguero, R.; Fajardo, A.; McIntire, E. J.B.; Gutierrez, E.; Batllori, E.; Boudreau, S.; Carrer, M.; Diez, J.; Dufour-Tremblay, G.; Gaire, N. P.; Hofgaard, A.; Jomelli, V.; Kirdyanov, A. V.; Levesque, E.; Liang, E.; Linares, J. C.; Mathisen, I. E.; Moiseev, P. A.; Sanguesa-Barreda, G.; Shrestha, K. B.; Toivonen, J. M.; Tutubalina, O. V.; Wilmking, M.

/ J. J. Camarero, A. Gazol, R. Sanchez-Salguero [et al.] // Glob. Change Biol. - 2021, DOI 10.1111/gcb.15530. - Cited References:64. - We thank all people who participated in fieldwork and sample processing. This work was supported by the Spanish projects AMB95-0160, REN2002-04268-C02, and CGL2015-69186-C2-260 1-R to E.G., E.B., and J.J.C., respectively, and the Chilean FONDECYT project nos. 1120171 and 1160329 to A.F. A.V.K. was supported by the Russian Ministry of Science and Higher Education project #FSRZ-2020-0010. A.H., I.E.M., and K.B.S., were supported by The Research Council of Norway, project no. 176065/S30 and 190153/V10. . - Article in press. - ISSN 1354-1013. - ISSN 1365-2486РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: Climate warming is expected to positively alter upward and poleward treelines which are controlled by low temperature and a short growing season. Despite the importance of treelines as a bioassay of climate change, a global field assessment and posterior forecasting of tree growth at annual scales is lacking. Using annually resolved tree-ring data located across Eurasia and the Americas, we quantified and modeled the relationship between temperature and radial growth at treeline during the 20th century. We then tested whether this temperature-growth association will remain stable during the 21st century using a forward model under two climate scenarios (RCP 4.5 and 8.5). During the 20th century, growth enhancements were common in most sites, and temperature and growth showed positive trends. Interestingly, the relationship between temperature and growth trends was contingent on tree age suggesting biogeographic patterns in treeline growth are contingent on local factors besides climate warming. Simulations forecast temperature-growth decoupling during the 21st century. The growing season at treeline is projected to lengthen and growth rates would increase and become less dependent on temperature rise. These forecasts illustrate how growth may decouple from climate warming in cold regions and near the margins of tree existence. Such projected temperature-growth decoupling could impact ecosystem processes in mountain and polar biomes, with feedbacks on climate warming.

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Держатели документа:
CSIC, Inst Pirena Ecol IPE, Zaragoza 50080, Spain.
Univ Pablo de Olavide, Dept Sistemas Fis Quim & Nat, Seville, Spain.
Ctr Invest Ecosistemas Patagonia CIEP, Coyhaique, Chile.
Nat Resources Canada, Pacific Forestry Ctr, Victoria, BC, Canada.
Univ Barcelona, Dept Biol Evolut Ecol & Ciencies Ambientals, Barcelona, Spain.
Ctr Ecol Res & Forestry Applicat CREAF, Bellaterra, Spain.
Univ Laval, Ctr Etud Nord CEN, Quebec City, PQ, Canada.
Univ Padua, Dip TeSAF, Legnaro, PD, Italy.
Univ Calif Riverside, Dept Bot & Plant Sci, Riverside, CA 92521 USA.
Nepal Acad Sci & Technol, Kathmandu, Nepal.
Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming, Yunnan, Peoples R China.
Norwegian Inst Nat Res, Trondheim, Norway.
CNRS Cerege, Technopole Environm Arbois Mediterranee, Aix En Provence, France.
Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia.
Krasnoyarsk Sci Ctr SB RAS, VN Sukachev Inst Forest SB RAS, Fed Res Ctr, Krasnoyarsk, Russia.
Univ Quebec Trois Rivieres, Ctr Etud Nord CEN, Trois Rivieres, PQ, Canada.
Chinese Acad Sci, Inst Tibetan Plateau Res, Lab Alpine Ecol, Beijing, Peoples R China.
Norwegian Biodivers Informat Ctr, Trondheim, Norway.
UrB RAS, Inst Plant & Anim Ecol, Ekaterinburg, Russia.
Univ Valladolid, EiFAB iuFOR, Soria, Spain.
Univ Bergen, Dept Biol Sci, Bergen, Norway.
Univ Turku, Dept Biol, Turku, Finland.
Moscow MV Lomonosov State Univ, Dept Geog, Moscow, Russia.
Ernst Moritz Arndt Univ Greifswald, Inst Bot & Landscape Ecol, DendroGreif, Greifswald, Germany.

Доп.точки доступа:
Camarero, Jesus Julio; Gazol, Antonio; Sanchez-Salguero, Raul; Fajardo, Alex; McIntire, Eliot J. B.; Gutierrez, Emilia; Batllori, Enric; Boudreau, Stephane; Carrer, Marco; Diez, Jeff; Dufour-Tremblay, Genevieve; Gaire, Narayan P.; Hofgaard, Annika; Jomelli, Vincent; Kirdyanov, Alexander, V; Levesque, Esther; Liang, Eryuan; Linares, I. E.; Mathisen, Ingrid E.; Moiseev, Pavel A.; Sanguesa-Barreda, Gabriel; Shrestha, Krishna B.; Toivonen, Johanna M.; Tutubalina, Olga, V; Wilmking, Martin; Camarero, J. Julio; Spanish projects [AMB95-0160, REN2002-04268-C02, CGL2015-69186-C2-260 1-R]; Chilean FONDECYTComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)CONICYT FONDECYT [1120171, 1160329]; Russian Ministry of Science and Higher Education [FSRZ-2020-0010]; Research Council of NorwayResearch Council of Norway [176065/S30, 190153/V10]