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

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Найдено документов в текущей БД: 11

    Forest resources of Siberia: conditions, dynamics, monitoring
: материалы временных коллективов / A. S. Shishikin // Boreal forests in a changing world: challenges and needs for action: Proceedings of the International conference August 15-21 2011, Krasnoyarsk, Russia. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2011. - С. 51-55. - Библиогр. в конце ст.

Аннотация: iBiological productive capacity of Siberian woodlands is much higher than their recent economic output. Stable and effective forest management could be achieved by an integration of direct wood utilization with other types of exploitation. Recent data enable to forecast the volume of recources with regad to natural or anthropogenic turnover of forest ecosystems. It is suggested that separation of data on the resource itself from the information on socio-economic aspects of its utilization hinders to set up an effective control over forest resources.

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

Доп.точки доступа:
Шишикин, Александр Сергеевич

    Landscape controls of CH4 fluxes in a catchment of the forest tundra ecotone in northern Siberia
[Text] / H. . Flessa [et al.] // Glob. Change Biol. - 2008. - Vol. 14, Is. 9. - P2040-2056, DOI 10.1111/j.1365-2486.2008.01633.x. - Cited References: 68 . - 17. - ISSN 1354-1013
РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: Terrestrial ecosystems in northern high latitudes exchange large amounts of methane (CH4) with the atmosphere. Climate warming could have a great impact on CH4 exchange, in particular in regions where degradation of permafrost is induced. In order to improve the understanding of the present and future methane dynamics in permafrost regions, we studied CH4 fluxes of typical landscape structures in a small catchment in the forest tundra ecotone in northern Siberia. Gas fluxes were measured using a closed-chamber technique from August to November 2003 and from August 2006 to July 2007 on tree-covered mineral soils with and without permafrost, on a frozen bog plateau, and on a thermokarst pond. For areal integration of the CH4 fluxes, we combined field observations and classification of functional landscape structures based on a high-resolution Quickbird satellite image. All mineral soils were net sinks of atmospheric CH4. The magnitude of annual CH4 uptake was higher for soils without permafrost (1.19 kg CH4 ha(-1) yr(-1)) than for soils with permafrost (0.37 kg CH4 ha(-1) yr(-1)). In well-drained soils, significant CH4 uptake occurred even after the onset of ground frost. Bog plateaux, which stored large amounts of frozen organic carbon, were also a net sink of atmospheric CH4 (0.38 kg CH4 ha(-1) yr(-1)). Thermokarst ponds, which developed from permafrost collapse in bog plateaux, were hot spots of CH4 emission (approximately 200 kg CH4 ha(-1) yr(-1)). Despite the low area coverage of thermokarst ponds (only 2.1% of the total catchment area), emissions from these sites resulted in a mean catchment CH4 emission of 3.8 kg CH4 ha(-1) yr(-1). Export of dissolved CH4 with stream water was insignificant. The results suggest that mineral soils and bog plateaux in this region will respond differently to increasing temperatures and associated permafrost degradation. Net uptake of atmospheric CH4 in mineral soils is expected to gradually increase with increasing active layer depth and soil drainage. Changes in bog plateaux will probably be much more rapid and drastic. Permafrost collapse in frozen bog plateaux would result in high CH4 emissions that act as positive feedback to climate warming.

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[Flessa, Heiner] Univ Gottingen, Buesgen Inst, D-37077 Gottingen, Germany
[Rodionov, Andrej] Univ Cottbus, Chair Soil Protect & Recultivat, D-03046 Cottbus, Germany
[Rodionov, Andrej
Guggenberger, Georg] Univ Halle Wittenberg, Inst Agr & Nutr Sci, D-06108 Halle, Germany
[Fuchs, Hans
Magdon, Paul] Univ Gottingen, Inst Forest Management, D-37077 Gottingen, Germany
[Shibistova, Olga
Zrazhevskaya, Galina
Mikheyeva, Natalia] SB RAS, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Kasansky, Oleg A.] SB RAS, Permafrost Inst Yakutsk, Field Stn Igarka, Igarka 663200, Russia
[Blodau, Christian] Univ Bayreuth, Dept Hydrol, D-95440 Bayreuth, Germany

Доп.точки доступа:
Flessa, H...; Rodionov, A...; Guggenberger, G...; Fuchs, H...; Magdon, P...; Shibistova, O...; Zrazhevskaya, G...; Mikheyeva, N...; Kasansky, O.A.; Blodau, C...

    THE NORTHERN EURASIA EARTH SCIENCE PARTNERSHIP An Example of Science Applied to Societal Needs
[Text] / P. Y. Groisman [et al.] // Bull. Amer. Meteorol. Soc. - 2009. - Vol. 90, Is. 5. - P671-+, DOI 10.1175/2008BAMS2556.1. - Cited References: 78 . - 19. - ISSN 0003-0007
РУБ Meteorology & Atmospheric Sciences

Аннотация: Northern Eurasia, the largest land-mass in the northern extratropics, accounts for similar to 20% of the global land area. However, little is known about how the biogeochemical cycles, energy and water cycles, and human activities specific to this carbon-rich, cold region interact with global climate. A major concern is that changes in the distribution of land-based life, as well as its interactions with the environment, may lead to a self-reinforcing cycle of accelerated regional and global warming. With this as its motivation, the Northern Eurasian Earth Science Partnership Initiative (NEESPI) was formed in 2004 to better understand and quantify feedbacks between northern Eurasian and global climates. The first group of NEESPI projects has mostly focused on assembling regional databases, organizing improved environmental monitoring of the region, and studying individual environmental processes. That was a starting point to addressing emerging challenges in the region related to rapidly and simultaneously changing climate, environmental, and societal systems. More recently, the NEESPI research focus has been moving toward integrative studies, including the development of modeling capabilities to project the future state of climate, environment, and societies in the NEESPI domain. This effort will require a high level of integration of observation programs, process studies, and modeling across disciplines.

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Держатели документа:
[Groisman, Pavel Ya.] NOAA, UCAR, Natl Climat Data Ctr, Asheville, NC 28801 USA
[Clark, Elizabeth A.
Lettenmaier, Dennis P.] Univ Washington, Seattle, WA 98195 USA
[Kattsov, Vladimir M.] Voeikov Main Geophys Observ, St Petersburg, Russia
[Sokolik, Irina N.] Georgia Inst Technol, Atlanta, GA 30332 USA
[Aizen, Vladimir B.] Univ Idaho, Moscow, ID 83843 USA
[Cartus, Oliver
Schmullius, Christiane C.] Univ Jena, Jena, Germany
[Chen, Jiquan] Univ Toledo, Toledo, OH 43606 USA
[Conard, Susan] US Forest Serv, USDA, Arlington, VA USA
[Katzenberger, John] Aspen Global Change Inst, Aspen, CO USA
[Krankina, Olga] Oregon State Univ, Corvallis, OR 97331 USA
[Kukkonen, Jaakko
Sofiev, Mikhail A.] Finnish Meteorol Inst, FIN-00101 Helsinki, Finland
[Machida, Toshinobu
Maksyutov, Shamil] Natl Inst Environm Sci, Tsukuba, Ibaraki, Japan
[Ojima, Dennis] H John Heinz III Ctr Sci Econ & Environm, Washington, DC USA
[Qi, Jiaguo] Michigan State Univ, E Lansing, MI 48824 USA
[Romanovsky, Vladimir E.
Walker, Donald] Univ Alaska, Fairbanks, AK 99701 USA
[Santoro, Maurizio] Gamma Remote Sensing, Gumlingen, Switzerland
[Shiklomanov, Alexander I.
Voeroesmarty, Charles] Univ New Hampshire, Durham, NH 03824 USA
[Shimoyama, Kou] Hokkaido Univ, Sapporo, Hokkaido, Japan
[Shugart, Herman H.
Shuman, Jacquelyn K.] Univ Virginia, Charlottesville, VA USA
[Sukhinin, Anatoly I.] Russian Acad Sci, Forest Inst, Siberian Branch, Krasnoyarsk, Russia
[Wood, Eric F.] Princeton Univ, Princeton, NJ 08544 USA

Доп.точки доступа:
Groisman, P.Y.; Clark, E.A.; Kattsov, V.M.; Lettenmaier, D.P.; Sokolik, I.N.; Aizen, V.B.; Cartus, O...; Chen, J.Q.; Conard, S...; Katzenberger, J...; Krankina, O...; Kukkonen, J...; Machida, T...; Maksyutov, S...; Ojima, D...; Qi, J.G.; Romanovsky, V.E.; Santoro, M...; Schmullius, C.C.; Shiklomanov, A.I.; Shimoyama, K...; Shugart, H.H.; Shuman, J.K.; Sofiev, M.A.; Sukhinin, A.I.; Vorosmarty, C...; Walker, D...; Wood, E.F.

    Development of a DNA Barcoding Reference Library for Fast and Accurate Identification of Immature Stages of Potential Forest Insect Pests. North Asian Leafminers as an Example
[Текст] / N. I. Kirichenko [и др.] // Лесные биогеоценозы бореальной зоны: география, структура, функции, динамика. Материалы Всероссийской научной конференции с международным участием, посвященной 70-летию создания Института леса им. В.Н. Сукачева СО РАН 16-19 сентября 2014 г., Красноярск. - Новосибирск : Изд-во СО РАН, 2014. - С. 632-634. - Библиогр. в конце ст.

Аннотация: A genetic library is being currently developed for leafmining insects, attacking native and alien woody plants in Siberia, that may allow a quick and reliable identification of the immature stages of potential pests and invaders. Integration of molecular data with ecological characteristics of leafminers, particularly larval and pupal morphology, and diagnostic characteristics of mines will accelerate the detection and tracking of insect pests.

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Держатели документа:
Институт леса им. В.Н. Сукачева СО РАН : 660036, Красноярск, Академгородок, 50, стр. 28

Доп.точки доступа:
Kirichenko, Natal'ya Ivanovna; Кириченко, Наталья Ивановна; Augustin, S.; Roques, A.; Роквес А.; Van Nieukerken, E. J.; Doorenweerd , C.; Lopez-Vaamonde, C.

    Analysis of content of (-)-secoisolariciresinol and related polyphenols in different morphological parts and anatomical structures of larch wood from Siberia
[Text] / D. V. Yashunsky [et al.] // Russ. Chem. Bull. - 2015. - Vol. 63, Is. 11. - P2571-2576, DOI 10.1007/s11172-014-0780-7. - Cited References:18. - This work was financially supported by the Russian Foundation for Basic Research (Project No. 14-33-00022). . - ISSN 1066-5285. - ISSN 1573-9171
РУБ Chemistry, Multidisciplinary

Кл.слова (ненормированные):
(-)-secoisolariciresinol -- dihydroquercetin -- knot areas of the larch wood

Аннотация: Productive efficiency of technology of polysaccharide and lignin manufacturing from wood raw materials can be significantly improved by integration of purification stages of low molecular weight wood components widely used in applied chemistry into the technological cycle. In this connection, phenols including lignans and flavonoids, which have a practical application potential, are of a special interest. In the present work the results of a study of the content of (-)-secoisolariciresinol, dihydroquercetin and related polyphenols in different morphological parts and anatomical structures of larch wood from the Siberia are analyzed. Analysis of the content of the listed products by reversed-phase HPLC provides the selection of optimal raw material for organizing the manufacture of the listed compounds with predictable efficiency. Increased content of (-)-secoisolariciresinol (up to 3-4%) observed in wood of the trunk knot areas of larch from Khakassia evidences the prospects of raw material processing in this region for production of (-)-secoisolariciresinol from the wastes of larch wood refinery.

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Держатели документа:
Russian Acad Sci, ND Zelinsky Inst Organ Chem, Moscow 119991, Russia.
VN Orekhovich Inst Biomed Chem, Moscow 119121, Russia.
D Mendeleev Univ Chem Technol Russia, Moscow 125047, Russia.
Closed Joint Stock Co BioKhimMak ST, Moscow 119234, Russia.
Russian Acad Sci, VN Sukachev Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia.
Ufa State Aviat Tech Univ, Ufa 450000, Russia.

Доп.точки доступа:
Yashunsky, D. V.; Men'shov, V. M.; Tsvetkov, D. E.; Tsvetkov, Yu. E.; Bel'ko, A. A.; Vasiyarov, G. G.; Titova, E. V.; Pimenov, A. V.; Onuchin, A. A.; Dokichev, V. A.; Tomilov, Yu. V.; Nifantiev, N. E.; Russian Foundation for Basic Research [14-33-00022]

    Towards harmonizing competing models: Russian forests' net primary production case study
/ 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.

    Genetic diversity among eight Dendrolimus species in Eurasia (Lepidoptera: Lasiocampidae) inferred from mitochondrial COI and COII, and nuclear ITS2 markers
/ A. Kononov [et al.] // BMC Genet. - 2016. - Vol. 17, DOI 10.1186/s12863-016-0463-5 . - ISSN 1471-2156

Кл.слова (ненормированные):
Dendrolimus -- Divergence -- Interspecific hybridization -- Pests -- Phylogeny

Аннотация: Background: Moths of genus Dendrolimus (Lepidoptera: Lasiocampidae) are among the major pests of coniferous forests worldwide. Taxonomy and nomenclature of this genus are not entirely established, and there are many species with a controversial taxonomic position. We present a comparative evolutionary analysis of the most economically important Dendrolimus species in Eurasia. Results: Our analysis was based on the nucleotide sequences of COI and COII mitochondrial genes and ITS2 spacer of nuclear ribosomal genes. All known sequences were extracted from GenBank. Additional 112 new sequences were identified for 28 specimens of D. sibiricus, D. pini, and D. superans from five regions of Siberia and the Russian Far East to be able to compare the disparate data from all previous studies. In total, 528 sequences were used in phylogenetic analysis. Two clusters of closely related species in Dendrolimus were found. The first cluster includes D. pini, D. sibiricus, and D. superans; and the second, D. spectabilis, D. punctatus, and D. tabulaeformis. Species D. houi and D. kikuchii appear to be the most basal in the genus. Conclusion: Genetic difference among the second cluster species is very low in contrast to the first cluster species. Phylogenetic position D. tabulaeformis as a subspecies was supported. It was found that D. sibiricus recently separated from D. superans. Integration of D. sibiricus mitochondrial DNA sequences and the spread of this species to the west of Eurasia have been established as the cause of the unjustified allocation of a new species: D. kilmez. Our study further clarifies taxonomic problems in the genus and gives more complete information on the genetic structure of D. pini, D. sibiricus, and D. superans. © 2016 The Author(s).

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Держатели документа:
Institute of Cytology and Genetics, the Siberian Branch of the Russian Academy of Science, 10 Prospekt Lavrentyeva, Novosibirsk, Russian Federation
USDA-APHIS-PPQ CPHST, Otis Laboratory, Building 1398, Otis Air National Guard Base, Buzzards Bay, MA, United States
Marshall University, Department of Biological Sciences, 1601 5th Avenue, Huntington, WV, United States
V.N. Sukachev Institute of Forest, the Siberian Branch of the Russian Academy of Science, 50/28 Akademgorodok, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kononov, A.; Ustyantsev, K.; Wang, B.; Mastro, V. C.; Fet, V.; Blinov, A.; Baranchikov, Y.

    Organic Trace Components Extractable by Chloroform from Swamp and River Waters in the Middle Ob Basin
/ T. T. Efremova, S. P. Efremov, G. S. Kalacheva // Water Resour. - 2018. - Vol. 45, Is. 5. - P757-766, DOI 10.1134/S0097807818050068. - Cited References:20. - This study was carried out under project no. 45 "Interrelationships between Climatic and Ecosystem Processes in the Territories of Forest-Bog Complexes in Western Siberia" in the Integrated Program of Basic Researches of Siberian Branch, Russian Academy of Sciences "Interdiscilpinary Integration Studies". . - ISSN 0097-8078. - ISSN 1608-344X
РУБ Water Resources
Рубрики:
SURFACE WATERS
   MATTER

Кл.слова (ненормированные):
bog water -- taiga rivers -- organic trace components -- chromate-mass-spectroscopy

Аннотация: For the first time in the Middle Ob Basin, new data of importance for evaluating the quality of swamp and river water were obtained, characterizing the microcomponent composition of extractive organic compounds. More than 150 compounds of natural genesis were identified. The water of oligotrophic and mesotrophic bogs shows widest diversity and maximal, almost equal masses of extractable organic substances, averaging 13 357 ng/L. In the water of eutrophic bogs and taiga rivers, this characteristic is five times lower; and that in lakes is lower by more than an order of magnitude. The amount of extractive trace components is closely correlated with the concentration of water-soluble carbon of humic nature. It was established that the natural water of taiga zone identical in terms of the fulvate type differs in the composition of organic trace components and can be grouped into four clusters: (a) water of oligotrophic bogs, (b) water of mesotrophic bogs, (c) river water, and (d) water of eutrophic bogs and bog lakes.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Div Fed Res Ctr, Siberian Branch,Krasnoyarsk Sci Ctr, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Inst Biophys, Div Fed Res Ctr, Siberian Branch,Krasnoyarsk Sci Ctr, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Efremova, T. T.; Efremov, S. P.; Kalacheva, G. S.; Integrated Program of Basic Researches of Siberian Branch, Russian Academy of Sciences "Interdiscilpinary Integration Studies" [45]

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

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

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

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

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

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

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

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

    The number of tree species on Earth
/ R. C. Gatti, P. B. Reich, JGP Gamarra [et al.] // Proc. Natl. Acad. Sci. U. S. A. - 2022. - Vol. 119, Is. 6. - Ст. e2115329119, DOI 10.1073/pnas.2115329119. - Cited References:72. - We thank the following agencies, initiatives, teams, and individuals for data collection and other technical support: the GFBI for establishing the data standards and collaborative framework; the US Department of Agriculture, Forest Service, Forest Inventory and Analysis Program; the University of Alaska Fairbanks; the SODEFOR, Ivory Coast; University Felix Houphouet-Boigny (Ivory Coast); the Queensland Herbarium; and past Queensland Government Forestry and Natural ResourceManagement Departments and staff for data collection for over seven decades. We thank Javier Eduardo Silva Espejo, Rahman Laskar, Salam Dilip, Bijit, Bironjoy, and Samar; Badru Mugerwa and Emmanuel Akampurira together with a team of field assistants (Valentine and Lawrence); all persons who made the Third Spanish Forest Inventory possible, especially the main coordinator J. A. Villanueva (IFN3); the French National Forest Inventory (NFI; NFI campaigns [raw data 2005 and following annual surveys] were downloaded by the GFBI at https://inventaire-forestier.ign.fr/dataIFN/, site accessed on 1 January 2015); the Italian Forest Inventory (NFI campaigns raw data 2005 and following surveys were downloaded by the GFBI at https://www.inventarioforestale.org/, site accessed on 27 April 2019); Swiss National Forest Inventory, Swiss Federal Research Institute WSL, and Federal Office for the Environment FOEN, Switzerland; Coordination for the Improvement of Higher Education Personnel of Brazil (CAPES) Grant 88881.064976/2014-01; Rafael Avila and Sharon van Tuylen, Instituto Nacional de Bosques, Guatemala for facilitating Guatemalan data; the National Focal Center for Forest condition monitoring of Serbia, Institute of Forestry, Belgrade, Serbia; the Thunen Institute of Forest Ecosystems (Germany) for providing NFI data; the Food and Agriculture Organization of the United Nations and the United Nations High Commissioner for Refugees undertaking the Safe Access to Fuel and Energy project; Russian Science Foundation Project 21-46-07002 for the plot data collected in the Krasnoyarsk region; and the Amazon Forest Inventory Network (RAINFOR), the African Tropical Rainforest Observation Network, and the ForestPlots.net initiative for their contributions from Amazonian and African forests. The Natural Forest plot data were collected between January 2009 and March 2014 by the LUCAS Programme for the New Zealand Ministry for the Environment, as provided by the New Zealand National Vegetation Survey Databank. All Tropical Ecology Assessment and Monitoring (TEAM) data are provided by the TEAM Network, a collaboration between Conservation International, the Missouri Botanical Garden, the Smithsonian Institution, and the Wildlife Conservation Society, and partially funded by these institutions, the Gordon and Betty Moore Foundation, and other donors, with thanks to all current and previous TEAM site managers and other collaborators who helped with collecting data; the people of the Redidoti, Pierrekondre, and Cassipora villages who were instrumental in assisting with the collection of data and sharing local knowledge of their forest; and the dedicated members of the field crew of the Kabo 2012 census. This research was supported in part through computational resources provided by Information Technology at Purdue, West Lafayette, Indiana. We also thank Robert K. Colwell and Fangliang He for insightful comments and recommendations during the revisions of this manuscript.; This work is supported in part by US Department of Agriculture National Institute of Food and Agriculture McIntire Stennis Projects 1017711 and 1016676; a faculty start-up grant from the Department of Forestry and Natural Resources, Purdue University; US NSF Biology Integration Institutes Program NSF-DBI-2021898; Key Project of National Key Research and Development Plan, China Grant 2017YFC0504005; S~ao Paulo Research Foundation Grant 2014/14503-7; Proyecto FONACIT Grant 1998003436 and UNELLEZ Grant 23198105; EU, Sumforest-REFORM, Risk Resilient ForestManagement, FKZ Grant 2816ERA02S; German Research Foundation, KROOF Tree and stand-level growth reactions on drought in mixed versus pure forests of Norway spruce and European beech Grant PR 292/12-1; Bavarian State Ministry for Food, Agriculture and Forestry, W07 long-term yield experiments, Grant 7831-26625-2017 and Project E33; the Deutsche Forschungsgemeinschaft Priority Program 1374 Biodiversity Exploratories; the International Tropical Timber Organization Project PD 53/00 Rev.3 (F); the State Forest Management Centre, Estonia, and the Environmental Investment Centre, Estonia; Natural Sciences and Engineering Research Council of Canada Discover Grant Project Grants RGPIN-2014-04181 and STPGP428641; European Structural Funds by FEDER 2014 to 2020 Grant GY0006894; European Investment Funds by FEDER/COMPETE/POCI-Operacional Competitiveness and Internacionalization Programme under Project POCI-01-0145-FEDER-006958 and National Funds by FCT-Portuguese Foundation for Science and Technology Project UIDB/04033/2020. ICNF-Instituto de Conservacao da Natureza e Florestas. 6 degrees Inventario Florestal Nacional; Chilean research Grants Fondecyt No. 1191816 and FONDEF No. ID19 10421; Vietnam National Foundation for Science and Technology Development Grant NAFOSTED-106-NN.06-2016.10; German Research Foundation Grant FOR 1246; the Project LIFE+ ForBioSensing PL "Comprehensive monitoring of stand dynamics in Bialowieza Forest supported with remote sensing techniques" cofunded by Life Plus Contract LIFE13 ENV/PL/000048 and National Fund for Environmental Protection and Water Management in Poland Contract 485/2014/WN10/OP-NM-LF/D; National Natural Scientific Foundation of China Grants 31660055 and 31660074; the Polish State Forests National Forest Holding (2016); National Science Center (Poland) Grant 2011/02/A/NZ9/00108; the Dutch Ministry of Economic Affairs for funding the Dutch National Forest Inventory; US NASA Grant 11-TE11-0100; the TEAM/Conservation International project for funding the data collection and the Instituto Nacional de Pesquisas da Amazonia; the Ministere des Forets, de la Faune et des Parcs du Quebec (Canada); the exploratory plots of FunDivEUROPE received funding from European Union Seventh Framework Programme FP7/2007-2013 under Grant 265171; DBT, Government of India through the project "Mapping and quantitative assessment of geographic distribution and population status of plant resources of Eastern Himalayan region" (Sanction Order BT/PR7928/NDB/52/9/2006 dated 29 September 2006); financial support from the Natural Sciences and Engineering Research Council of Canada (to S.D.; ); Czech Science Foundation Standard Grant 19-14620S and European Research Council Advanced Grant 669609; RFBR Grant 16-05-00496; the project implementation demonstration object on the transformation of declining spruce forests into ecologically more stable multi-functional ecosystems, ITMS Grant 26220220026, supported by the Research & Development Operational Program funded by the ERDF; the Swedish NFI, Department of Forest Resource Management, Swedish University of Agricultural Sciences SLU; National Research Foundation of South Africa Grants 89967 and 109244 and the South African Research Chair Initiative; the University Research Committee of the University of the South Pacific and New Colombo Plan funding through the Department of Foreign Affairs and Trade of the Australian government; the TEAM project in Uganda supported by the Moore Foundation and the Buffett Foundation through Conservation International and Wildlife Conservation Society; the COBIMFO project funded by Belgian Science Policy Office Contract SD/AR/01A; the German Federal Ministry of Education and Research Grant FKZ 01LL0908AD for the project Land Use and Climate Change Interactions in the Vu Gia Thu Bon River basin, Central Vietnam; Programme Tropenbos C. ote d'Ivoire Project 04/97-1111a du Compl~ement d'Inventaire de la Flore dans le Parc National de Tai; Danish Council for Independent Research j Natural Sciences TREECHANGE Grant 6108-00078B (to J.-C.S.)and VILLUM FONDEN Grant 16549 (to J.-C.S.); ERC Advanced Grant 291585 ("T-FORCES") and a Royal Society Wolfson Research Merit Award (to O.L.P.); RAINFOR plots supported by the Gordon and Betty Moore Foundation and the UK Natural Environment Research Council (NERC), notably NERC Consortium Grants AMAZONICA (NE/F005806/1), TROBIT (NE/D005590/1), and BIO-RED (NE/N012542/1); Fundacao de Amparo a Pesquisa e Inovacao de Santa Catarina, FAPESC Grant 2016TR2524, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico, CNPq Grant 312075/2013-8; "Investissement d'Avenir" grant managed by Agence Nationale de la Recherche (CEBA, reference ANR-10-LABX-25-01); CIFOR's Global Comparative Study on REDD+ funded by the Norwegian Agency for Development Cooperation (Norad), the Australian Department of Foreign Affairs and Trade, the European Union, the International Climate Initiative of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety, and the CGIAR Research Program on Forests, Trees and Agroforestry, and donors to the CGIAR Fund; the Nature and Biodiversity Conservation Union under the project entitled "Biodiversity under Climate Change: Community Based Conservation, Management and Development Concepts for the Wild Coffee Forests" funded by the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety through the International Climate Initiative; the Conselho Nacional de Desenvolvimento Cientifico e Tecnologico; the institutional project "EXTEMIT -K" CZ.02.1.01/0.0/0.; 0/15_003/0000433 financed by OP RDE; EC DG VIII Grants BZ-5041 (ECOSYN), NWO-WOTRO (W84-204), and GTZ; AfriTRON network plots funded by the local communities and NERC, ERC, the European Union, the Royal Society, and Leverhume Trust; BOLFOR (Proyecto de Manejo Forestal Sostenible Bolivia); the Global Environment Research Fund Grants F-071 and D-1006, JSPS KAKENHI Grant JP17K15289; the National Institute of Biology (now the Research Center for Biology), Indonesian Institute of Sciences, Indonesia IFBN Project Contract 4000114425/15/NL/FF/gp funded by ESA; NSF Grants DBI-1565046, DEB-0424767, DEB-0639393, and DEB-1147429; NASA Terrestrial Ecology Program; Swiss National Science Foundation Grants 130720 and 147092; Projects D/9170/07, D/018222/08, D/023225/09, and D/032548/10 funded by the Spanish Agency for International Development Cooperation (Agencia Espanola de Cooperacion Internacional para el Desarrollo) and Fundacion Biodiversidad in cooperation with the Universidad Mayor de San Simon, the Manejo Forestal en las Tierras Tropicales de Bolivia project, and Compania Industrial Maderera Ltda.; the Agency for Economic and Environmental Development of the north province of New Caledonia (Projects Ecofor & Cogefor, 2011 to 2016); Russian Science Foundation Grant 16-17-10284 The accumulation of carbon in forest soils and forest succession status; the Norwegian Ministry of Food and Agriculture; a grant from the Royal Society and the Natural Environment Research Council (United Kingdom; to S.L.L.; ); the Spanish Agency for International Development Cooperation (Agencia Espanola de Cooperacion Internacional para el Desarrollo) and Fundacion Biodiversidad, in cooperation with the governments of Syria and Lebanon; COBIMFO Project, Federal Science Policy, Belgium; Consejo Nacional de Ciencia y Tecnologia, Mexico; Comision Nacional Forestal, Mexico; BEF-China Project FOR 891 funded by the German Research Foundation; WWF Russell Train Fellowship Grant ST54 to PMU; Wildlife Conservation Society DRC Program under CARPE Funding; the Seoul National University Big Data Institute through the Data Science Research Project 2016, R&D Program for Forest Science Technology Projects 2013069C10-1719-AA03 and S111215L020110 funded by Korea Forest Service (the Korea Forestry Promotion Institute); Department of Biotechnology, Government of India Grant BT/PR12899/NDB/39/506/2015 (dated 20 June 2017) and Science and Engineering Research Board, Government of India Grant YSS/2015/000479 (dated 12 January 2016); Tropenbos International-Suriname; the Institute for World Forestry, University of Hamburg; REMBIOFOR Project "Remote sensing based assessment of woody biomass and carbon storage in forests" funded by the National Centre for Research and Development, Warsaw, Poland, under BIOSTRATEG Program Agreement BIOSTRATEG1/267755/4/NCBR/2015; Project "Environmental and genetic factors affecting productivity of forest ecosystems on forest and post-industrial habitats" (2011 to 2015) Grant OR/2717/3/11 funded by the General Directorate of State Forests, Warsaw, Poland; Project "Carbon balance of the major forest-forming tree species in Poland" (2007 to 2011) Grant 1/07 funded by the General Directorate of State Forests, Warsaw, Poland; the research professorship for "Ecosystem-based sustainable development" funded by Eberswalde University for Sustainable Development; Pontificia Universidad Catolica del Ecuador supported the fieldwork census in Yasuni National Park; the National Forest Programme of the National Institute of Agricultural Research; Sao Paulo Research Foundation Grants #2014/14503-7, 2017/05662-2, and 03/12595-7; MAUA group supported by FAPEAM-PRONEX Grant 1600/2006; CNPq/FAPEAM-PELD Grant 403792/2012-6; ATTO Project Grants MCTI-FINEP 1759/10 and BMBF 01LB1001A; Czech Science Foundation Standard Grants 17-07378S and 17-19376S; the Long-Term Research Development Project RVO 67985939 of Institute of Botany of the Czech Academy of Sciences; Slovak Research and Development Agency Project APVV-20-0168; the Strategic Science Investment Fund of the New Zealand Ministry for Business, Innovation and Employment; FAPESP Grants 2014/14503-7 and 2017/05662-2; and CNPq Universal Grant 479599/2008-4. The Digital Environment for Enabling Data-Driven Science Project is funded by NSF Grant CIF21 DIBBs: EI: 1724728; Natural Forest plot data collected between January 2002 and March 2007 by the LUCAS programme for the Ministry for the Environment; and Human Modified Tropical Forests Programme of NERC Grant NE/K016377/1. P.B.R. acknowledges funding support from US NSF Long-Term Ecological Research Grant DEB-1831944 and Biological Integration Institutes Grant NSF-DBI-2021898. . - ISSN 0027-8424. - ISSN 1091-6490
РУБ Multidisciplinary Sciences
Рубрики:
BIODIVERSITY
   RICHNESS

   DIVERSITY

   SAMPLE

   PATTERNS

   HETEROGENEITY

Кл.слова (ненормированные):
biodiversity -- forests -- hyperdominance -- rarity -- richness

Аннотация: One of the most fundamental questions in ecology is how many species inhabit the Earth. However, due to massive logistical and financial challenges and taxonomic difficulties connected to the species concept definition, the global numbers of species, including those of important and well-studied life forms such as trees, still remain largely unknown. Here, based on global groundsourced data, we estimate the total tree species richness at global, continental, and biome levels. Our results indicate that there are similar to 73,000 tree species globally, among which similar to 9,000 tree species are yet to be discovered. Roughly 40% of undiscovered tree species are in South America. Moreover, almost one-third of all tree species to be discovered may be rare, with very low populations and limited spatial distribution (likely in remote tropical lowlands and mountains). These findings highlight the vulnerability of global forest biodiversity to anthropogenic changes in land use and climate, which disproportionately threaten rare species and thus, global tree richness.

WOS

Держатели документа:
Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA.
Alma Mater Studiorum Univ Bologna, Dept Biol Geol & Environm Sci, I-40126 Bologna, Italy.
Tomsk State Univ, Biol Inst, Tomsk 634050, Russia.
Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA.
Univ Michigan, Inst Global Change Biol, Ann Arbor, MI 48109 USA.
Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW 2753, Australia.
FAO, Forestry Dept, I-00153 Rome, Italy.
Swiss Fed Inst Technol, Inst Integrat Biol, CH-8092 Zurich, Switzerland.
Stellenbosch Univ, Ctr Invas Biol, Dept Math Sci, ZA-7602 Stellenbosch, South Africa.
African Inst Math Sci, Math Biol Unit, ZA-7945 Muizenberg, South Africa.
Univ Lleida, Dept Crop & Forest Sci, Lleida 25198, Spain.
Joint Res Unit CTFC AGROTECNIO CERCA, Solsona 25280, Spain.
Univ Liege, Gembloux Agrobio Tech, TERRA Teaching & Res Ctr, B-5030 Gembloux, Belgium.
Wageningen Univ & Res, Forest Ecol & Forest Management Grp, NL-6700 AA Wageningen, Netherlands.
Aarhus Univ, Dept Biol, Ctr Biodivers Dynam Changing World BIOCHANGE, DK-8000 Aarhus C, Denmark.
Aarhus Univ, Dept Biol, Sect Ecoinformat & Biodivers, DK-8000 Aarhus C, Denmark.
Univ Lorraine, Silva, INRAE, AgroParisTech, F-54000 Nancy, France.
Univ Connecticut, Dept Ecol & Evolutionary Biol, Mansfield, CT 06268 USA.
Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA.
Univ Wisconsin Madison, Dept Populat Hlth Sci, Madison, WI 53704 USA.
King Abdullah Univ Sci & Technol, Stat Program, Thuwal 23955, Saudi Arabia.
Univ Wisconsin Madison, Dept Stat, Madison, WI 53706 USA.
Peking Univ, Inst Bot, CAS, Beijing 100871, Peoples R China.
Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA.
Univ Minnesota, Dept Comp Sci & Engn, St Paul, MN 55108 USA.
Univ Udine, Dept Agr Food Environm & Anim Sci Univ, I-33100 Udine, Italy.
Free Univ Bolzano Bozen, Fac Sci & Technol, I-39100 Bolzano, Italy.
Univ Florida, Dept Tourism Hospitality & Events Management, Spatial Ecol & Conservat Lab, Gainesville, FL 32611 USA.
Univ Nacl Colombia Abierta & Distancia, Escuela Ciencias Ambientales, Bogota 2102, Colombia.
Univ Autonoma Gabriel Rene Moreno, Museo Hist Nat Noel Kempff Mercado, Casilla 2489, Santa Cruz, Bolivia.
European Commiss, Joint Res Ctr, I-21027 Ispra, Italy.
Compensat Int Progress SA Ciprogress Greenlife, Bogota, Colombia.
Herbario Univ PORT, UNELLEZ Guanare, Programa Ciencias Agro & Mar, Mesa De Cavacas 3323, Estado Portugue, Venezuela.
Forest Res Inst, Dept Geomat, PL-05090 Sekocin Starty, Raszyn, Poland.
Florida Int Univ, Int Ctr Trop Bot, Dept Biol Sci, Miami, FL 33133 USA.
Univ Fed Acre, Multidisciplinary Ctr, Forest Sci Lab, BR-69920900 Cruzeiro Do Sul, Brazil.
Proceedings Natl Acad Sci, Washington, DC 20001 USA.
Duke Univ, Dept Evolutionary Anthropol, Durham, NC 27708 USA.
Univ Montpellier, CNRS, AMAP, CIRAD,INRAE,IRD, F-34090 Montpellier, France.
Inst Agron Neocaledonien Equipe Sol & Vegetat, Noumea 98800, New Caledonia.
Mbarara Univ Sci & Technol, Inst Trop Forest Conservat, Kabale, Uganda.
Univ Stefan Cel Mare Suceava, Integrated Ctr Res Dev & Innovat Adv Mat Nanotech, Suceava 720229, Romania.
Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dept Forest Sci, BR-13418900 Piracicaba, Brazil.
Manchester Metropolitan Univ, Dept Nat Sci, Manchester M1 5GD, Lancs, England.
Univ Florida, Sch Forest Resources & Conservat, Spatial Ecol & Conservat Lab, Gainesville, FL 32611 USA.
Univ Firenze, Dept Agr Alimentat Environm & Forestry, I-50144 Florence, Italy.
SOS Amazonia, Amazonia Green Landscape Protect & Governance Pro, Rio Branco, Brazil.
Univ Fed Acre, Ctr Biol & Nat Sci, Lab Bot & Plant Ecol, BR-69920900 Rio Branco, Brazil.
Inst Forestry, Dept Spatial Regulat GIS & Forest Policy, Belgrade 11030, Serbia.
Univ Nacl San Antonio Abad Cusco, Cuzco 08000, Peru.
Lakehead Univ, Fac Nat Resources Management, Thunder Bay, ON P7B 5E1, Canada.
Inst Forest Ecosyst Res, Jilove 25401, Czech Republic.
Czech Acad Sci, Global Change Res Inst, Brno 60300, Czech Republic.
Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA.
Univ Cambridge, Conservat Res Inst, Dept Plant Sci, Cambridge CB2 3EA, England.
Concordia Univ, CSFG, Ctr Sustainabil Res, Quebec Ctr Biodivers Sci, Montreal, PQ H3G 1M8, Canada.
Concordia Univ, Dept Biol, Montreal, PQ H3G 1M8, Canada.
Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, Dept Environm Sci, NL-6700 AA Wageningen, Netherlands.
World Agroforestry ICRAF, Nairobi 00100, Kenya.
Univ Calif Santa Barbara, Ecol & Evolutionary Biol, Santa Barbara, CA 93106 USA.
Inst Invest Amazonia Peruana, Iquitos, Peru.
Univ Guyane, Univ Antilles, INRAE, Cirad,UMREcoFoG Agroparistech,CNRS, Kourou 310, French Guiana.
Univ Buea, Dept Plant Sci, Fac Sci, Buea, Cameroon.
Vietnamese Acad Forest Sci, Silviculture Rearch Inst, Hanoi, Vietnam.
Czech Acad Sci, Inst Bot, Pruhonice 25243, Czech Republic.
Univ South Bohemia, Fac Sci, Ceske Budejovice 37005, Czech Republic.
Univ Montpellier, INRAE, CNRS, AMAP,IRD,CIRAD, F-34398 Montpellier 5, France.
Queen Mary Univ London, Sch Biol & Behav Sci, London E1 4NS, England.
Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4PY, Devon, England.
Swedish Univ Agr Sci, Dept Forest Resource Management, S-75007 Uppsala, Sweden.
Royal Bot Garden Edinburgh, Edinburgh EH3 5LR, Midlothian, Scotland.
Univ Bayreuth, Dept Plant Systemat, D-95440 Bayreuth, Germany.
Wageningen Univ & Res, Biometris & Forest & Nat Policy Grp, NL-6700 AA Wageningen, Netherlands.
CIRAD, UPR Forets & Soc, Yamoussoukro, Cote Ivoire.
Univ Montpellier, Forets & Soc, CIRAD, F-34000 Montpellier, France.
Inst Natl Polytech Felix Houphouet Boigny, Yamoussoukro, Cote Ivoire.
Wageningen Univ & Res, Dept Environm Sci, Lab Geoinformat Sci & Remote Sensing, NL-6700 AA Wageningen, Netherlands.
Helmholtz GFZ German Res Ctr Geosci, Sect 14 Remote Sensing & Geoinformat, D-14473 Potsdam, Germany.
Univ Hawaii Hilo, Dept Biol, Hilo, HI 96720 USA.
Polish Acad Sci, Inst Dendrol, PL-62035 Kornik, Poland.
Univ Warsaw, Bialowieza Geobot Stn, Fac Biol, PL-17230 Warsaw, Poland.
Univ Stirling, Fac Nat Sci, Stirling FK9 4LA, Scotland.
Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1165 Copenhagen, Denmark.
Univ Bristol, Sch Biol Sci, Bristol BS8 1TQ, Avon, England.
Estonian Univ Life Sci, Inst Forestry & Rural Engn, EE-51006 Tartu, Estonia.
Russian Acad Sci, Ctr Forest Ecol & Prod, Moscow 119991, Russia.
Field Museum, Integrat Res Ctr, Chicago, IL 60605 USA.
Indonesian Inst Sci, Herbarium Bogoriense, Biol Res Ctr, Lembaga Ilmu Pengetahuan Indonesia,Cibinong Sci C, Cibinong 16912, Indonesia.
Colorado Mesa Univ, Dept Phys & Environm Sci, Grand Junction, CO 81501 USA.
Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1017 Copenhagen, Denmark.
Univ South Australia, UniSA STEM, Adelaide, SA 5001, Australia.
Univ South Australia, Future Ind Inst, Adelaide, SA 5001, Australia.
Dr Hari Singh Gour Vishwavidyalaya, Dept Bot, Sagar 470003, India.
Dr Harisingh Gour Cent Univ, Dept Bot, Sagar 470003, Madhya Pradesh, India.
Museo Hist Nat Noel Kempff Mercado, Santa Cruz, Bolivia.
Seoul Natl Univ, Dept Agr Forestry & Bioresources, Seoul 08826, South Korea.
Seoul Natl Univ, Interdisciplinary Program Agr & Forest Meteorol, Seoul 08826, South Korea.
Natl Ctr AgroMeteorol, Seoul 08826, South Korea.
Seoul Natl Univ, Res Inst Agr & Life Sci, Inst Future Environm & Forest Resources, Seoul 08826, South Korea.
Cent Univ Jharkhand, Dept Geoinformat, Ranchi 835205, Jharkhand, India.
CNRS IRD UPS, Lab Evolut & Diversite Biol, UMR 5174, F-31062 Toulouse 9, France.
Univ Tartu, Tartu Observ, EE-61602 Tartu, Estonia.
Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England.
UCL, Dept Geog, London WC1E 6BT, England.
Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford OX1 3QY, England.
Univ Sunshine Coast, Forest Res Inst, Sippy Downs, Qld 4556, Australia.
Univ York, Dept Environm & Geog, York YO10 5NG, N Yorkshire, England.
All Russian Inst Continuous Educ Forestry, Pushchino 141200, Moscow Region, Russia.
FSBI ROSLESINFORG, Ivanteyevka 141208, Moscow Region, Russia.
Inst Tecnol Costa Rica, Escuela Ingn Forestal, Cartago 30101, Costa Rica.
Univ Quebec, Ctr Forest Res, Dept Sci Biol, Montreal, PQ H3C 3P8, Canada.
Pondicherry Univ, Dept Ecol & Environm Sci, Pondicherry 605014, India.
Univ Nacl Patagonia Austral, CONICET, Inst Nacl Tecnol Agr, RA-9400 Rio Gallegos, Argentina.
Western Sydney Univ, Urban Ecosyst Res, Sch Social Sci, Penrith, NSW 2751, Australia.
Ecofor, Grp Interet Publ, F-75116 Paris, France.
Fed Univ Southern Bahia, Training Ctr Agroforestry Sci, Lab Trop Dendrol & Forestry, BR-45613204 Ilheus, BA, Brazil.
Tech Univ Munich, Sch Life Sci, Chair Forest Growth & Yield Sci, D-85354 Freising Weihenstephan, Germany.
Univ Los Andes, Inst Invest Desarrollo Forestal, Merida 5101, Venezuela.
Univ Antioquia, Fac Engn, Escuela Ambiental, Medellin, Colombia.
Univ Trento, Agr Food Environm Ctr C3A, I-38122 San Michele All Adige, Italy.
Fdn Edmund Mach, Res & Innovat Ctr, I-38100 San Michele All Adige, Italy.
Herbario Selva Cent HOXA, Jardin Bot Missouri, Pasco Mz E-6, Oxapampa, Peru.
Univ Florence, Dept Biol, I-50019 Sesto Fiorentino, Italy.
MUSE Museo Sci, I-38122 Trento, Italy.
InfoFlora, Conservatoire & Jardin Bot Geneve, CH-1292 Chambesy, Switzerland.
Cent Univ Jharkhand, Dept Environm Sci, Ranchi 835205, Bihar, India.
Univ La Frontera, Ctr Modelac & Monitoreo Ecosistemas, Univ Mayor, Santiago, Chile.
Univ La Frontera, Vicerrectoria Invest & Postgrad, Temuco 4811230, Chile.
Univ Chile, Dept Silvicultura & Cons Nat, Santiago 8820808, Chile.
Russian Acad Sci, Sukachev Inst Forest, SB, Krasnoyarsk 660036, Russia.
Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria.
Univ Freiburg, Fac Biol, Geobot, D-79104 Freiburg, Germany.
Natl Forest Ctr, Zvolen 96001, Slovakia.
Univ Brunei Darussalam, Fac Sci, Environm & Life Sci, BE-1410 Gadong, Brunei.
Univ Yaounde I, Dept Biol, Plant Systemat & Ecol Lab, Higher Teachers Training Coll, Yaounde, Cameroon.
Univ Fed Rio Grande do Norte, Dept Ecol, CB, BR-59072970 Natal, RN, Brazil.
Czech Univ Life Sci Prague, Fac Forestry & Wood Sci, Prague 16521, Czech Republic.
Univ Yaounde I, Fac Sci, Dept Plant Biol, Yaounde, Cameroon.
Bioversity Int, IITA Reg Off Cameroon, Yaounde, Cameroon.
Univ Florida, Dept Biol, Gainesville, FL 32611 USA.
Univ Florida, Florida Museum Nat Hist, Gainesville, FL 32611 USA.
James Cook Univ, Sch Sci & Engn, Cairns, Qld 4878, Australia.
Univ Leipzig, Inst Biol, Systemat Bot & Funct Biodivers, D-04103 Leipzig, Germany.
Univ Tr as Os Montes & Alto Douro, CITAB, Ctr Res & Technol Agroenvironm & Biol Sci, UTAD, P-5000801 Vila Real, Viseu, Portugal.
Polytech Inst Viseu, Agr High Sch, Dept Ecol & Sustainable Agr, P-3500606 Viseu, Portugal.
Univ Reg Blumenau, Dept Forest Engn, BR-89030 Blumenau, SC, Brazil.
Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.
Univ Autonoma Beni, Riberalta 2W3Q VHJ, Beni, Bolivia.
Hainan Univ, Key Lab Trop Biol Resources, Sch Life & Pharmaceut Sci, Minist Educ, Haikou 570228, Hainan, Peoples R China.
Swedish Univ Agr Sci, Dept Forest Resource Management, S-75007 Uppsala, Sweden.
Minist Eaux Forets Mer & Environm Charge Plan Cli, Estuaire Libreville, Gabon.
Inst Rech Ecol Trop, Libreville, Gabon.
Manaaki Whenua Landcare Res, Lincoln 7640, New Zealand.
State Forests Coordinat Ctr Environm Projects, PL-02362 Warsaw, Poland.
Inst Natl Polytech Felix Houphouet Boigny, Dept FOREN, BP 1093, Yamoussoukro, Cote Ivoire.

Доп.точки доступа:
Gatti, Roberto Cazzolla; Reich, Peter B.; Gamarra, Javier G. P.; Crowther, Tom; Hui, Cang; Morera, Albert; Bastin, Jean-Francois; de-Miguel, Sergio; Nabuurs, Gert-Jan; Svenning, Jens-Christian; Serra-Diaz, Josep M.; Merow, Cory; Enquist, Brian; Kamenetsky, Maria; Lee, Junho; Zhu, Jun; Fang, Jinyun; Jacobs, Douglass F.; Pijanowski, Bryan; Banerjee, Arindam; Giaquinto, Robert A.; Alberti, Giorgio; Zambrano, A.; Alvarez-Davila, Esteban; Araujo-Murakami, Alejandro; Avitabile, Valerio; Aymard, Gerardo A.; Balazy, Radomir; Baraloto, Chris; Barroso, Jorcely G.; Bastian, Meredith L.; Birnbaum, Philippe; Bitariho, Robert; Bogaert, Jan; Bongers, Frans; Bouriaud, Olivier; Brancalion, Pedro H. S.; Brearley, Francis Q.; Broadbent, Eben North; Bussotti, Filippo; da Silva, V. C.; Cesar, E.; Cesljar, Goran; Moscoso, Victor Chama; Chen, Han Y. H.; Cienciala, Emil; Clark, Connie J.; Coomes, David A.; Dayanandan, Selvadurai; Decuyper, Mathieu; Dee, Laura E.; Pasquel, I. D.; Derroire, Geraldine; Djuikouo, Marie Noel Kamdem; Do, T. R.; Dolezal, Jiri; Dordevic, Ilija D.; Engel, Julien; Fayle, Tom M.; Feldpausch, Ted R.; Fridman, Jonas K.; Harris, David J.; Hemp, Andreas; Hengeveld, Geerten; Herault, Bruno; Herold, Martin; Ibanez, Thomas; Jagodzinski, Andrzej M.; Jaroszewicz, Bogdan; Jeffery, Kathryn J.; Johannsen, Vivian Kvist; Jucker, Tommaso; Kangur, Ahto; Karminov, Victor N.; Kartawinata, Kuswata; Kennard, Deborah K.; Kepfer-Rojas, Sebastian; Keppel, Gunnar; Khan, Mohammed Latif; Khare, Pramod Kumar; Kileen, Timothy J.; Kim, Hyun Seok; Korjus, Henn; Kumar, Amit; Laarmann, Diana; Labriere, Nicolas; Lang, Mait; Lewis, Simon L.; Lukina, Natalia; Maitner, Brian S.; Malhi, Yadvinder; Marshall, Andrew R.; Martynenko, Olga V.; Mendoza, Abel L. Monteagudo; Ontikov, Petr V.; Ortiz-Malavasi, Edgar; Camacho, Nadir C. Pallqui; Paquette, Alain; Park, Minjee; Parthasarathy, Narayanaswamy; Peri, Pablo Luis; Petronelli, Pascal; Pfautsch, Sebastian; Phillips, Oliver L.; Picard, Nicolas; Piotto, Daniel; Poorter, Lourens; Poulsen, John R.; Pretzsch, Hans; Ramirez-Angulo, Hirma; Correa, Zorayda Restrepo; Rodeghiero, Mirco; Gonzales, Rocio Del Pilar Rojas; Rolim, Samir G.; Rovero, Francesco; Rutishauser, Ervan; Saikia, Purabi; Salas-Eljatib, Christian; Schepaschenko, Dmitry; Scherer-Lorenzen, Michael; Seben, Vladimir; Silveira, Marcos; Slik, Ferry; Sonke, Bonaventure; Souza, Alexandre F.; Sterenczak, Krzysztof Jan; Svoboda, Miroslav; Taedoumg, Hermann; Tchebakova, Nadja; Terborgh, John; Tikhonova, Elena; Torres-Lezama, Armando; van der Plas, Fons; Vasquez, Rodolfo; Viana, Helder; Vibrans, Alexander C.; Vilanova, Emilio; Vos, Vincent A.; Wang, Hua-Feng; Westerlund, Bertil; White, Lee J. T.; Wiser, Susan K.; Zawila-Niedzwiecki, Tomasz; Zemagho, Lise; Zhu, Zhi-Xin; Zo-Bi, Irie C.; Liang, Jingjing; Cazzolla, Roberto; KUMAR, ASHWANI; Šebeň, Vladimír; Schepaschenko, Dmitry G.; Serra-Diaz, Josep M; Kepfer, Sebastian; Phillips, Oliver; de, Sergio; Philippe, Birnbaum; Dee, Laura; Ibanez, Thomas, Paul; Coordination for the Improvement of Higher Education Personnel of Brazil (CAPES)Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [88881.064976/2014-01]; Russian Science FoundationRussian Science Foundation (RSF) [21-46-07002, 16-17-10284]; Gordon and Betty Moore FoundationGordon and Betty Moore Foundation; Information Technology at Purdue, West Lafayette, Indiana; US Department of Agriculture National Institute of Food and Agriculture McIntire Stennis [1017711, 1016676]; Department of Forestry and Natural Resources, Purdue University; US NSF Biology Integration Institutes Program [NSF-DBI-2021898]; Key Project of National Key Research and Development Plan, China [2017YFC0504005]; Sao Paulo Research FoundationFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2014/14503-7, 2017/05662-2, 03/12595-7]; Proyecto FONACIT [1998003436]; UNELLEZ [23198105]; EU, Sumforest-REFORM, Risk Resilient ForestManagement, FKZ [2816ERA02S]; German Research FoundationGerman Research Foundation (DFG); KROOF Tree and stand-level growth reactions on drought in mixed versus pure forests of Norway spruce and European beech [PR 292/12-1]; Bavarian State Ministry for Food, Agriculture and Forestry, W07 long-term yield experiments [7831-26625-2017, E33]; Deutsche Forschungsgemeinschaft Priority ProgramGerman Research Foundation (DFG) [1374]; International Tropical Timber Organization Project [PD 53/00 Rev.3]; State Forest Management Centre, Estonia; Environmental Investment Centre, Estonia; Natural Sciences and Engineering Research Council of Canada DiscoverNatural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-2014-04181, STPGP428641]; FEDEREuropean Commission [GY0006894]; FEDER/COMPETE/POCI-Operacional Competitiveness and Internacionalization Programme [POCI-01-0145-FEDER-006958]; FCT-Portuguese Foundation for Science and Technology Project [UIDB/04033/2020]; ICNF-Instituto de Conservacao da Natureza e Florestas. 6degrees Inventario Florestal Nacional; Chilean research Grants FondecytComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)CONICYT FONDECYT [1191816]; FONDEF [ID19 10421]; Vietnam National Foundation for Science and Technology Development Grant [NAFOSTED-106-NN.06-2016.10]; German Research FoundationGerman Research Foundation (DFG) [FOR 1246]; Life Plus Contract [LIFE13 ENV/PL/000048]; National Fund for Environmental Protection and Water Management in Poland Contract [485/2014/WN10/OP-NM-LF/D]; National Natural Scientific Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31660055, 31660074]; Polish State Forests National Forest Holding; National Science Center (Poland)National Science Centre, Poland [2011/02/A/NZ9/00108]; Dutch Ministry of Economic AffairsMinistry of Economic Affairs, Netherlands; US NASANational Aeronautics & Space Administration (NASA) [11-TE11-0100]; TEAM/Conservation International project; Instituto Nacional de Pesquisas da Amazonia; Ministere des Forets, de la Faune et des Parcs du Quebec (Canada); European UnionEuropean Commission [FP7/2007-2013, 265171]; DBT, Government of IndiaDepartment of Biotechnology (DBT) India [BT/PR7928/NDB/52/9/2006]; Natural Sciences and Engineering Research Council of CanadaNatural Sciences and Engineering Research Council of Canada (NSERC)CGIAR; Czech Science FoundationGrant Agency of the Czech Republic [19-14620S, 17-07378S, 17-19376S]; European Research CouncilEuropean Research Council (ERC)European Commission [669609]; RFBRRussian Foundation for Basic Research (RFBR) [16-05-00496]; project implementation demonstration object on the transformation of declining spruce forests into ecologically more stable multi-functional ecosystems, ITMS [26220220026]; Research & Development Operational Program - ERDF; Swedish NFI; Department of Forest Resource Management; Swedish University of Agricultural Sciences SLU; National Research Foundation of South AfricaNational Research Foundation - South Africa [89967, 109244]; South African Research Chair Initiative; University Research Committee of the University of the South Pacific and New Colombo Plan through the Department of Foreign Affairs and Trade of the Australian government; Moore FoundationGordon and Betty Moore Foundation; Buffett Foundation through Conservation International and Wildlife Conservation Society; Belgian Science Policy Office Contract [SD/AR/01A]; German Federal Ministry of Education and Research Grant [FKZ 01LL0908AD]; Programme Tropenbos Cote d'Ivoire Project [04/97-1111a]; Danish Council for Independent Research j Natural Sciences TREECHANGE [6108-00078B]; VILLUM FONDENVillum Foundation [16549]; ERCEuropean Research Council (ERC)European Commission [291585]; Royal Society Wolfson Research Merit AwardRoyal Society of London; UK Natural Environment Research Council (NERC), notably NERC Consortium Grants AMAZONICAUK Research & Innovation (UKRI)Natural Environment Research Council (NERC) [NE/F005806/1]; TROBIT [NE/D005590/1]; BIO-RED [NE/N012542/1]; Conselho Nacional de Desenvolvimento Cientifico e Tecnologico, CNPqConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) [312075/2013-8]; Agence Nationale de la Recherche (CEBA)French National Research Agency (ANR) [ANR-10-LABX-25-01]; Norwegian Agency for Development Cooperation (Norad)CGIAR; Australian Department of Foreign Affairs and TradeAustralian Government; European UnionEuropean Commission; International Climate Initiative of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety; CGIAR Research Program on Forests, Trees and AgroforestryCGIAR; CGIAR FundCGIAR; Nature and Biodiversity Conservation Union; German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety through the International Climate Initiative; Conselho Nacional de Desenvolvimento Cientifico e TecnologicoConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ); OP RDE [CZ.02.1.01/0.0/0.0/15_003/0000433]; EC DG VIII [BZ-5041]; NWO-WOTRONetherlands Organization for Scientific Research (NWO) [W84-204]; GTZ; local communities and NERC; ERCEuropean Research Council (ERC)European Commission; Royal SocietyRoyal Society of LondonEuropean Commission; Leverhume Trust; BOLFOR (Proyecto de Manejo Forestal Sostenible Bolivia); Global Environment Research Fund [F-071, D-1006]; JSPS KAKENHIMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research (KAKENHI) [JP17K15289]; National Institute of Biology (now the Research Center for Biology), Indonesian Institute of Sciences, Indonesia IFBN Project - ESA [4000114425/15/NL/FF/gp]; NSFNational Science Foundation (NSF) [DBI-1565046, DEB-0424767, DEB-0639393]; NASA Terrestrial Ecology ProgramNational Aeronautics & Space Administration (NASA); Swiss National Science FoundationSwiss National Science Foundation (SNSF)European Commission [130720, 147092]; Spanish Agency for International Development Cooperation (Agencia Espanola de Cooperacion Internacional para el Desarrollo) [D/9170/07, D/018222/08, D/023225/09, D/032548/10]; Universidad Mayor de San Simon; Manejo Forestal en las Tierras Tropicales de Bolivia project; Compania Industrial Maderera Ltda.; Agency for Economic and Environmental Development of the north province of New Caledonia (Projects Ecofor Cogefor); Natural Environment Research Council (United Kingdom)UK Research & Innovation (UKRI)Natural Environment Research Council (NERC); Spanish Agency for International Development Cooperation (Agencia Espanola de Cooperacion Internacional para el Desarrollo); governments of Syria and Lebanon; COBIMFO Project, Federal Science Policy, Belgium; Consejo Nacional de Ciencia y Tecnologia, MexicoConsejo Nacional de Ciencia y Tecnologia (CONACyT); Comision Nacional Forestal, Mexico; WWF Russell Train Fellowship [ST54]; Wildlife Conservation Society DRC Program under CARPE; Seoul National University Big Data Institute; Korea Forest Service (the Korea Forestry Promotion Institute) [2013069C10-1719-AA03, S111215L020110]; Science and Engineering Research Board, Government of India [YSS/2015/000479]; Tropenbos International-Suriname; Institute for World Forestry, University of Hamburg; National Centre for Research and Development, Warsaw, Poland, under BIOSTRATEG Program [BIOSTRATEG1/267755/4/NCBR/2015]; General Directorate of State Forests, Warsaw, Poland [OR/2717/3/11, 1/07]; Eberswalde University for Sustainable Development; Pontificia Universidad Catolica del Ecuador; National Forest Programme of the National Institute of Agricultural Research; FAPEAM-PRONEXFundacao de Amparo a Pesquisa do Estado do Amazonas (FAPEAM) [2014/14503-7, 2017/05662-2, 03/12595-7]; CNPq/FAPEAM-PELD [403792/2012-6]; ATTO Project [MCTI-FINEP 1759/10, BMBF 01LB1001A]; Long-Term Research Development Project of Institute of Botany of the Czech Academy of Sciences [RVO 67985939]; Slovak Research and Development Agency Project [APVV-20-0168]; Strategic Science Investment Fund of the New Zealand Ministry for Business, Innovation and Employment; FAPESPFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2014/14503-7, 2017/05662-2]; CNPq UniversalConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) [479599/2008-4]; NSF GrantNational Science Foundation (NSF) [CIF21 DIBBs: EI: 1724728]; LUCAS programme for the Ministry for the Environment; Human Modified Tropical Forests Programme of NERC [NE/K016377/1]; US NSF Long-Term Ecological Research [DEB-1831944]; Biological Integration Institutes [NSF-DBI-2021898]