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

/ M. . Bryukhanova, P. . Fonti // Trees-Struct. Funct. - 2013. - Vol. 27, Is. 3. - P485-496, DOI 10.1007/s00468-012-0802-8. - Cited References: 45. - This study was supported by Swiss National Foundation through an International short visit (Grant number: #131408) and through the cooperation on the project INTEGRAL (#121859). We would like to thank David Frank and Georg von Arx for their assistance and critical discussion of an earlier version of the manuscript, and Kathlene English and Gregory King for the English review. . - 12. - ISSN 0931-1890РУБ Forestry

Аннотация: Thanks to acclimation, trees overcome environmental changes and endure for centuries. The anatomy of water conducting cells is an important factor determining plant success. Forming cells are coupled with the environment and their properties are naturally archived in the wood. Its variability across tree rings can thus provide a retrospective of plant's hydraulic adjustments. In this work, we measured lumen and wall thickness of tracheids along tree-rings to explore how trees regulate their conducting system under variable plant-water conditions. Tracheids were measured along 51 dated rings of five mature Larix decidua and Picea abies trees from a low elevation site. Anatomical-based chronologies of annual growth performance, hydraulic conductance and safety, and construction costs were built. Similarities among chronologies and the relation to monthly climate data were analyzed. Most parameters displayed high annual plasticity which was partly coherent among trees and mostly associated with radial growth. In general, summer drought reduced growth and potential hydraulic conductivity of the forming ring, and increased hydraulic safety and construction costs. To evaluate the functional relevance of the annual acclimation, the conductivity of the forming ring relative to the entire sapwood needs to be assessed.

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Держатели документа:
[Bryukhanova, Marina] VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Fonti, Patrick] WSL Swiss Fed Res Inst, CH-8903 Zurich, Switzerland

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Bryukhanova, M...; Fonti, P...

[Text] / Y. L. Liu [et al.] // Glob. Planet. Change. - 2013. - Vol. 108. - P85-99, DOI 10.1016/j.gloplacha.2013.06.008. - Cited References: 134. - This research is supported by the NASA Land Use and Land Cover Change program (NASA-NNX09AI26G, NN-H-04-Z-YS-005-N, and NNX09AM55G), the Department of Energy (DE-FG02-08ER64599), the National Science Foundation (NSF-1028291 and NSF-0919331), and the NSF Carbon and Water in the Earth Program (NSF-0630319). The computing is supported by the Rosen Center of High Performance Computing at Purdue University. Special acknowledgment is made here to Prof. Eric Wood of Princeton University for his generous provision of ET dataset in the Vinukollu et al. (2011). Diego Miralles acknowledges the support by the European Space Agency WACMOS-ET project (contract no.4000106711/12/I-NB). . - 15. - ISSN 0921-8181РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: Adequate quantification of evapotranspiration (ET) is crucial to assess how climate change and land cover change (LCC) interact with the hydrological cycle of terrestrial ecosystems. The Mongolian Plateau plays a unique role in the global climate system due to its ecological vulnerability, high sensitivity to climate change and disturbances, and limited water resources. Here, we used a version of the Terrestrial Ecosystem Model that has been modified to use Penman-Monteith (PM) based algorithms to calculate ET. Comparison of site-level ET estimates from the modified model with ET measured at eddy covariance (EC) sites showed better agreement than ET estimates from the MODIS ET product, which overestimates ET during the winter months. The modified model was then used to simulate ET during the 21st century under six climate change scenarios by excluding/including climate-induced LCC. We found that regional annual ET varies from 188 to 286 mm yr(-1) across all scenarios, and that it increases between 0.11 mm yr(-2) and 0.55 mm yr(-2) during the 21st century. A spatial gradient of ET that increases from the southwest to the northeast is consistent in all scenarios. Regional ET in grasslands, boreal forests and semi-desert/deserts ranges from 242 to 374 mm yr(-1), 213 to 278 mm yr(-1) and 100 to 199 mm yr(-1), respectively; and the degree of the ET increase follows the order of grassland, semi-desert/desert, and boreal forest. Across the plateau, climate-induced LCC does not lead to a substantial change (<5%) in ET relative to a static land cover, suggesting that climate change is more important than LCC in determining regional ET. Furthermore, the differences between precipitation and ET suggest that the available water for human use (water availability) on the plateau will not change significantly during the 21st century. However, more water is available and less area is threatened by water shortage in the Business-As-Usual emission scenarios relative to level-one stabilization emission scenarios. (C) 2013 Elsevier B.V. All rights reserved.

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Держатели документа:
[Liu, Yaling
Zhuang, Qianlai
Chen, Min
He, Yujie] Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA
[Zhuang, Qianlai
Bowling, Laura] Purdue Univ, Dept Agron, W Lafayette, IN 47907 USA
[Pan, Zhihua] China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China
[Pan, Zhihua] Minist Agr, Key Ecol & Environm Expt Stn Field Sci Observat H, Inner Mongolia 011705, Peoples R China
[Tchebakova, Nadja
Parfenova, Elena] Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia
[Sokolov, Andrei] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA
[Kicklighter, David
Melillo, Jerry] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA
[Sirin, Andrey] Russian Acad Sci, Inst Forest Sci, Lab Peatland Forestry & Ameliorat, Uspenskoye 143030, Moscow Oblast, Russia
[Zhou, Guangsheng] Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China
[Chen, Jiquan] Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA
[Miralles, Diego] Univ Bristol, Sch Geog Sci, Bristol, Avon, England

Доп.точки доступа:
Liu, Y.L.; Zhuang, Q.L.; Chen, M...; Pan, Z.H.; Tchebakova, N...; Sokolov, A...; Kicklighter, D...; Melillo, J...; Sirin, A...; Zhou, G.S.; He, Y.J.; Chen, J.Q.; Bowling, L...; Miralles, D...; Parfenova, E...; NASA [NASA-NNX09AI26G, NN-H-04-Z-YS-005-N, NNX09AM55G]; Department of Energy [DE-FG02-08ER64599]; National Science Foundation [NSF-1028291, NSF-0919331, NSF-0630319]; European Space Agency WACMOS-ET project [4000106711/12/I-NB]

/ U. Buntgen [et al.] // J. Ecol. - 2015. - Vol. 103, Is. 2. - P489-501, DOI 10.1111/1365-2745.12361 . - ISSN 0022-0477
Аннотация: Summary: The effects of climate change on Arctic ecosystems can range between various spatiotemporal scales and may include shifts in population distribution, community composition, plant phenology, primary productivity and species biodiversity. The growth rates and age structure of tundra vegetation as well as its response to temperature variation, however, remain poorly understood because high-resolution data are limited in space and time. Anatomical and morphological stem characteristics were recorded to assess the growth behaviour and age structure of 871 dwarf shrubs from 10 species at 30 sites in coastal East Greenland at 70°N. Recruitment pulses were linked with changes in mean annual and summer temperature back to the 19th century, and a literature review was conducted to place our findings in a pan-Arctic context. Low cambial activity translates into estimated average/maximum plant ages of 59/204 years, suggesting relatively small turnover rates and stable community composition. Decade-long changes in the recruitment intensity were found to lag temperature variability by 2 and 6 years during warmer and colder periods, respectively (r = 0.851961-2000 and 1881-1920). Synthesis. Our results reveal a strong temperature dependency of Arctic dwarf shrub reproduction, a high vulnerability of circumpolar tundra ecosystems to climatic changes, and the ability of evaluating historical vegetation dynamics well beyond the northern treeline. The combined wood anatomical and plant ecological approach, considering insights from micro-sections to community assemblages, indicates that model predictions of rapid tundra expansion (i.e. shrub growth) following intense warming might underestimate plant longevity and persistence but overestimate the sensitivity and reaction time of Arctic vegetation. Our results reveal a strong temperature dependency of Arctic dwarf shrub reproduction, a high vulnerability of circumpolar tundra ecosystems to climatic changes, and the ability of evaluating historical vegetation dynamics well beyond the northern treeline. The combined wood anatomical and plant ecological approach, considering insights from microsections to community assemblages, indicates that model predictions of rapid tundra expansion (i.e. shrub growth) following intense warming might underestimate plant longevity and persistence but overestimate the sensitivity and reaction time of Arctic vegetation.

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Держатели документа:
Swiss Federal Research Institute WSL, Zurcherstr 111Birmensdorf, Switzerland
Oeschger Centre for Climate Change Research OCCR, Zahringerstr 25Bern, Switzerland
Global Change Research Centre AS CR, v.v.i., Belidla 986/4aBrno, Czech Republic
Chair of Forest Growth IWW, Freiburg University, Tennenbacherstr 4Freiburg, Germany
Department of Bioscience, University of Aarhus, Ny Munkegade 116Aarhus C, Denmark
Arctic Research Centre, Aarhus University, C.F. Mollers Alle 8, bldg 1110Aarhus C, Denmark
School of GeoSciences, University of Edinburgh, West Mains RoadEdinburgh, United Kingdom
V.N. Sukachev Institute of ForestAkademgorodok, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Buntgen, U.; Hellmann, L.; Tegel, W.; Normand, S.; Myers-Smith, I.; Kirdyanov, A.V.; Nievergelt, D.; Schweingruber, F.H.

/ P. Capek [et al.] // Soil Biol. Biochem. - 2015. - Vol. 90. - P19-29, DOI 10.1016/j.soilbio.2015.07.013 . - ISSN 0038-0717
Аннотация: Arctic permafrost soils contain large stocks of organic carbon (OC). Extensive cryogenic processes in these soils cause subduction of a significant part of OC-rich topsoil down into mineral soil through the process of cryoturbation. Currently, one-fourth of total permafrost OC is stored in subducted organic horizons. Predicted climate change is believed to reduce the amount of OC in permafrost soils as rising temperatures will increase decomposition of OC by soil microorganisms. To estimate the sensitivity of OC decomposition to soil temperature and oxygen levels we performed a 4-month incubation experiment in which we manipulated temperature (4-20 °C) and oxygen level of topsoil organic, subducted organic and mineral soil horizons. Carbon loss (CLOSS) was monitored and its potential biotic and abiotic drivers, including concentrations of available nutrients, microbial activity, biomass and stoichiometry, and extracellular oxidative and hydrolytic enzyme pools, were measured. We found that independently of the incubation temperature, CLOSS from subducted organic and mineral soil horizons was one to two orders of magnitude lower than in the organic topsoil horizon, both under aerobic and anaerobic conditions. This corresponds to the microbial biomass being lower by one to two orders of magnitude. We argue that enzymatic degradation of autochthonous subducted OC does not provide sufficient amounts of carbon and nutrients to sustain greater microbial biomass. The resident microbial biomass relies on allochthonous fluxes of nutrients, enzymes and carbon from the OC-rich topsoil. This results in a "negative priming effect", which protects autochthonous subducted OC from decomposition at present. The vulnerability of subducted organic carbon in cryoturbated arctic soils under future climate conditions will largely depend on the amount of allochthonous carbon and nutrient fluxes from the topsoil. © 2015 Elsevier Ltd.

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Держатели документа:
University of South Bohemia, Department of Ecosystems Biology, Branisovska 31, Ceske Budejovice, Czech Republic
Institute of Systematic Botany and Ecology, University of Ulm, Albert-Einstein-Allee 11, Ulm, Germany
University of Vienna, Department of Microbiology and Ecosystem Research, Division of Terrestrial Ecosystem Research, Althanstrasse 14, Vienna, Austria
Austrian Polar Research Institute, Althanstrasse 14, Vienna, Austria
University of Gothenburg, Department of Earth Sciences, Guldhedsgatan 5A, Gothenburg, Sweden
University of New Hampshire, Department of Natural Resources and the Environment, Durham, NH, United States
University of Vienna, Department of Ecogenomics and Systems Biology, Division of Archaea Biology and Ecogenomics, Vienna, Austria
Leibniz Universitat Hannover, Institute of Soil Science, Herrenhauser Strasse 2, Hannover, Germany
Martin-Luther-University Halle-Wittenberg, Soil Sciences, Halle, Germany
University of Stockholm, Department of Physical Geography, Stockholm, Sweden
Central Siberian Botanical Garden, Siberian Branch of the Russian Academy of Sciences, St. Zolotodolinskaya 101, Novosibirsk, Russian Federation
University of Bergen, Department of Biology, Centre for Geobiology, Thormohlensgate 53B, Bergen, Norway
Center for Geomicrobiology, Department of Bioscience, Ny Munkegade 114, Aarhus C, Denmark
VN Sukachev, Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
University of Greifswald, Institute for Microbiology, Greifswald, Germany

Доп.точки доступа:
Capek, P.; Diakova, K.; Dickopp, J.-E.; Barta, J.; Wild, B.; Schnecker, J.; Alves, R.J.E.; Aiglsdorfer, S.; Guggenberger, G.; Gentsch, N.; Hugelius, G.; Lashchinsky, N.; Gittel, A.; Schleper, C.; Mikutta, R.; Palmtag, J.; Shibistova, O.; Urich, .; Richter, A.; Santruckova, H.

/ T. T. Dao [et al.] // Soil Biol. Biochem. - 2018. - Vol. 116. - P311-322, DOI 10.1016/j.soilbio.2017.10.032 . - ISSN 0038-0717
Аннотация: Permafrost soils preserve huge amounts of organic carbon (OC) prone to decomposition under changing climatic conditions. However, knowledge on the composition of soil organic matter (OM) and its transformation and vulnerability to decomposition in these soils is scarce. We determined neutral sugars and lignin-derived phenols, released by trifluoroacetic acid (TFA) and CuO oxidation, respectively, within plants and soil density fractions from the active layer and the upper permafrost layer at three different tundra types (shrubby grass, shrubby tussock, shrubby lichen) in the Northeast Siberian Arctic. The heavy fraction (HF; >1.6 g mL?1) was characterized by a larger enrichment of microbial sugars (hexoses vs. pentoses) and more pronounced lignin degradation (acids vs. aldehydes) as compared to the light fraction (LF; <1.6 g mL?1), showing the transformation from plant residue-dominated particulate OM to a largely microbial imprint in mineral-associated OM. In contrast to temperate and tropical soils, total neutral sugar contents and galactose plus mannose to arabinose plus xylose ratios (GM/AX) decreased in the HF with soil depth, which may indicate a process of effective recycling of microbial biomass rather than utilizing old plant materials. At the same time, lignin-derived phenols increased and the degree of oxidative decomposition of lignin decreased with soil depth, suggesting a selective preservation of lignin presumably due to anaerobiosis. As large parts of the plant-derived pentoses are incorporated in lignocelluloses and thereby protected against rapid decomposition, this might also explain the relative enrichment of pentoses with soil depth. Hence, our results show a relatively large contribution of plant-derived OM, particularly in the buried topsoil and subsoil, which is stabilized by the current soil environmental conditions but may become available to decomposers if permafrost degradation promotes soil drainage and improves the soil oxygen supply. © 2017

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Держатели документа:
Institute of Soil Science, Leibniz University Hannover, Germany
Soil Science and Soil Protection, Martin Luther University Halle-Wittenberg, Germany
VN Sukachev Institute of Forest, Krasnoyarsk, Russian Federation
Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
Austrian Polar Research Institute, Vienna, Austria
Department of Environmental Science and Analytical Chemistry, Stockholm University, Stockholm, Sweden
Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, United States
Department of Ecosystem Biology, University of South Bohemia, Ceske Budejovice, Czech Republic
Department of Biology, Centre for Geobiology, University of Bergen, Bergen, Norway
Department of Bioscience, Center for Geomicrobiology, Aarhus, Denmark
Central Siberian Botanical Garden, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
Department of Ecogenomics and Systems Biology, University of Vienna, Vienna, Austria
Institute of Microbiology, Ernst-Moritz-Arndt University, Greifswald, Germany

Доп.точки доступа:
Dao, T. T.; Gentsch, N.; Mikutta, R.; Sauheitl, L.; Shibistova, O.; Wild, B.; Schnecker, J.; Barta, J.; Capek, P.; Gittel, A.; Lashchinskiy, N.; Urich, T.; Santruckova, H.; Richter, A.; Guggenberger, G.

/ A. Evgrafova [et al.] // Geoderma. - 2018. - Vol. 329. - P91-107, DOI 10.1016/j.geoderma.2018.05.014 . - ISSN 0016-7061
Аннотация: The vulnerability of soil organic matter (SOM) sequestered in permafrost-affected soils to climate change plays one of the key roles in the global carbon (C) cycle. However, it still remains unclear how changing soil and site-specific factors, associated with the changing depth of the permafrost table due to thawing, influence the spatial distribution and variability of soil organic carbon (SOC) and total nitrogen (N) stocks in high-latitude mineral soils. The relationships between the spatial variation of SOC and N stocks (0–30 cm) and active layer (AL) thickness, thickness of the organic layer (OL), soil acidity, Al and Fe hydroxides as well as plant- and microbial-derived C inputs were studied using ordinary statistics and geostatistics within six landscape patches (16 m2) in the Siberian forest-tundra ecotone underlain by warm and discontinuous permafrost. At deeper permafrost table, SOC and N stocks (0–30 cm) were lower and, according to the semivariogram analysis, an overall homogenization of SOC and N distribution at the analyzed scale occurred. Total N and SOC stocks were spatially independent from root-derived organic matter distribution (i.e. the concentration of suberin-derived monomers) at shallow AL patches, whereas there was a significant positive spatial correlation within deep AL and non-permafrost soils. Hence, the development of root systems and an increase in rooting depth, leading to “hot spots” of SOM accumulation at intensively rooted soil patches, was observed as a result of deeper AL. Total N and SOC stocks within deeper AL and non-permafrost subsoils were also positively spatially correlated with the concentration of Fe and Al hydroxides, demonstrating the importance of organo-mineral associations for SOM stabilization in soils with lower permafrost table. This study confirmed that deepening of the AL in boreal forest ecosystems may lead to an overall homogenization of SOM distribution and simultaneous development of distinct mechanisms of SOM accumulation and stabilization. © 2018 Elsevier B.V.

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Soil Science Group, Geography Department, University of Bern, Bern, Switzerland
Institute for Integrated Natural Sciences, Germany Geography Department, University of Koblenz-Landau, Koblenz, Germany
Institute of Soil Science, Leibniz Universitat Hannover, Hanover, Germany
VN Sukachev Institute of Forest, SB-RAS, Akademgorodok, Krasnoyarsk, Russian Federation
Igarka Geocryology Laboratory, Melnikov Permafrost Institute, Yakutsk, Russian Federation
Department of Soil Science and Plant Nutrition, Christian-Albrechts-University of Kiel, Kiel, Germany

Доп.точки доступа:
Evgrafova, A.; de la Haye, T. R.; Haase, I.; Shibistova, O.; Guggenberger, G.; Tananaev, N.; Sauheitl, L.; Spielvogel, S.

/ O. V. Masyagina, S. Y. Evgrafova, O. V. Menyailo [et al.] // Forests. - 2021. - Vol. 12, Is. 1. - Ст. 107. - P1-25, DOI 10.3390/f12010107 . - ISSN 1999-4907
Аннотация: The observed high spatial variation in soil respiration (SR) and associated parameters emphasized the importance of SR heterogeneity at high latitudes and the involvement of many factors in its regulation, especially within fire-affected areas. The problem of estimating CO2 emissions during post-fire recovery in high-latitude ecosystems addresses the mutual influence of wildfires and climate change on the C cycle. Despite its importance, especially in permafrost regions because of their vulnerability, the mutual influence of these factors on CO2 dynamics has rarely been stud-ied. Thus, we aimed to understand the dynamics of soil respiration (SR) in wildfire-affected larch recovery successions. We analyzed 16-year data (1995–2010) on SR and associated soil, biological, and environmental parameters obtained during several field studies in larch stands of different ages (0–276 years) in the Krasnoyarsk region (Russia). We observed a high variation in SR and related parameters among the study sites. SR varied from 1.77 ± 1.18 (mean ± SD) µmol CO2 m?2 s?1 in the 0–10-year-old group to 5.18 ± 2.70 µmol CO2 m?2 s?1 in the 150–276-year-old group. We found a significant increasing trend in SR in the 88–141-year old group during the study period, which was related to the significant decrease in soil water content due to the shortage of precipitation during the growing season. We observed a high spatial variation in SR, which was primarily regulated by biological and environmental factors. Different parameters were the main contributors to SR in each group, an SR was significantly affected by the inter-relationships between the studied parameters. The obtained results can be incorporated into the existing SR databases, which can allow their use in the construction and validation of C transport models as well as in monitoring global fluctuations in the C cycle in response to climate change. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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Держатели документа:
Sukachev Institute of Forest SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, 50/28 Akademgorodok St., Krasnoyarsk, 660036, Russian Federation
Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation
Melnikov Permafrost Institute SB RAS, 36 Merzlotnaya St., Yakutsk, 677010, Russian Federation
Faculty of Agriculture, Yamagata University, Wakabamachi 1-23, Yamagata, Tsuruoka, 997-8555, Japan
Research Faculty of Agriculture, Hokkaido University, Sapporo, 060-8589, Japan

Доп.точки доступа:
Masyagina, O. V.; Evgrafova, S. Y.; Menyailo, O. V.; Mori, S.; Koike, T.; Prokushkin, S. G.

/ S. M. Sultson, A. A. Goroshko, S. V. Verkhovets [et al.] // Land. - 2021. - Vol. 10, Is. 2. - Ст. 115. - P1-16, DOI 10.3390/land10020115 . - ISSN 2073-445X
Аннотация: This research is dedicated to solving an urgent problem associated with the large-scale destruction of taiga forests by Siberian silk moth (Dendrolimus sibiricus) outbreaks. The dynamics of the damage to dark coniferous forest stands induced by the Siberian silk moth outbreaks in mid-altitude mountains were studied. A hypothesis was formulated based on the fundamental influence of the orography on the phytophage’s dispersal within the landscape, along with the climate, which acts as a secondary predictor—a catalyst for outbreaks. The study was carried out using Landsat?8 satellite imagery time-series (from 2018 to 2020). The data were verified using a field forest pathological survey of the territory. An assessment of the defoliated forest area and damage association with the landscape was carried out using an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital elevation model. The assessment was aimed to detail the forecast parameters for an outbreak development in mid-altitude mountains using the orographic features—altitude, terrain slope, and slope aspect. Early warnings of phytophagous insect outbreaks in mountain southern taiga should be focused on the permanent monitoring of dark coniferous stands of the mossy group of forest types, covering altitude levels from 400 to 600 m, located on gentle terrains and slopes of up to 15 degrees. The greatest vulnerability to phytophage impacts was characterized as areas located at altitudes from 400 to 600 m. The upper limit of D. sibiricus distribution was 900 m above sea level. The results obtained provide comprehensive information on the Siberian silk moth potential reserves within the study area with the possibility of extrapolation to similar territories. The data will make it possible to model pest outbreaks based on orography and improve the forest pathological monitoring methods at the regional level. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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Держатели документа:
Scientific Laboratory of Forest Health, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarskii Rabochii prospekt, Krasnoyarsk, 660037, Russian Federation
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Science, 50, bil. 28, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Sultson, S. M.; Goroshko, A. A.; Verkhovets, S. V.; Mikhaylov, P. V.; Ivanov, V. A.; Demidko, D. A.; Kulakov, S. S.

/ O. V. Masyagina, S. Y. Evgrafova, O. V. Menyailo [et al.] // Forests. - 2021. - Vol. 12, Is. 1. - Ст. 107, DOI 10.3390/f12010107. - Cited References:59. - The research was funded by the Russian Foundation of Basic Research (project No. 18-54-52005, 18-05-60203, 19-29-05122), and the Japan Society for the Promotion of Science "KAKENHI" (grant number 19H02987 and 19H01161). . - ISSN 1999-4907РУБ Forestry

Аннотация: The observed high spatial variation in soil respiration (SR) and associated parameters emphasized the importance of SR heterogeneity at high latitudes and the involvement of many factors in its regulation, especially within fire-affected areas. The problem of estimating CO2 emissions during post-fire recovery in high-latitude ecosystems addresses the mutual influence of wildfires and climate change on the C cycle. Despite its importance, especially in permafrost regions because of their vulnerability, the mutual influence of these factors on CO2 dynamics has rarely been studied. Thus, we aimed to understand the dynamics of soil respiration (SR) in wildfire-affected larch recovery successions. We analyzed 16-year data (1995-2010) on SR and associated soil, biological, and environmental parameters obtained during several field studies in larch stands of different ages (0-276 years) in the Krasnoyarsk region (Russia). We observed a high variation in SR and related parameters among the study sites. SR varied from 1.77 +/- 1.18 (mean +/- SD) mu mol CO2 m(-2) s(-1) in the 0-10-year-old group to 5.18 +/- 2.70 mu mol CO2 m(-2) s(-1) in the 150-276-year-old group. We found a significant increasing trend in SR in the 88-141-year old group during the study period, which was related to the significant decrease in soil water content due to the shortage of precipitation during the growing season. We observed a high spatial variation in SR, which was primarily regulated by biological and environmental factors. Different parameters were the main contributors to SR in each group, an SR was significantly affected by the inter-relationships between the studied parameters. The obtained results can be incorporated into the existing SR databases, which can allow their use in the construction and validation of C transport models as well as in monitoring global fluctuations in the C cycle in response to climate change.

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Держатели документа:
RAS, Krasnoyarsk Sci Ctr SB, Fed Res Ctr, Sukachev Inst Forest, 50-28 Akademgorodok St, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Inst Fundamental Biol & Biotechnol, 79 Svobodny Ave, Krasnoyarsk 660041, Russia.
RAS, Melnikov Permafrost Inst SB, 36 Merzlotnaya St, Yakutsk 677010, Russia.
Yamagata Univ, Fac Agr, Wakabamachi 1-23, Tsuruoka, Yamagata 9978555, Japan.
Hokkaido Univ, Res Fac Agr, Sapporo, Hokkaido 0608589, Japan.
Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China.

Доп.точки доступа:
Masyagina, Oxana V.; Evgrafova, Svetlana Y.; Menyailo, Oleg V.; Mori, Shigeta; Koike, Takayoshi; Prokushkin, Stanislav G.; Russian Foundation of Basic ResearchRussian Foundation for Basic Research (RFBR) [18-54-52005, 18-05-60203, 19-29-05122]; Japan Society for the Promotion of Science "KAKENHI"Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research (KAKENHI) [19H02987, 19H01161]

/ S. M. Sultson, A. A. Goroshko, S. V. Verkhovets [et al.] // Land. - 2021. - Vol. 10, Is. 2. - Ст. 115, DOI 10.3390/land10020115. - Cited References:40. - We would like to thank the Krasnoyarsk center for the collective use of the Federal research center of the Siberian branch of the Russian Academy of Sciences for the equipment provided. The authors acknowledge the editor and the anonymous reviewers for their comments that helped us to improve the manuscript. . - ISSN 2073-445XРУБ Environmental Studies

Аннотация: This research is dedicated to solving an urgent problem associated with the large-scale destruction of taiga forests by Siberian silk moth (Dendrolimus sibiricus) outbreaks. The dynamics of the damage to dark coniferous forest stands induced by the Siberian silk moth outbreaks in mid-altitude mountains were studied. A hypothesis was formulated based on the fundamental influence of the orography on the phytophage's dispersal within the landscape, along with the climate, which acts as a secondary predictor-a catalyst for outbreaks. The study was carried out using Landsat-8 satellite imagery time-series (from 2018 to 2020). The data were verified using a field forest pathological survey of the territory. An assessment of the defoliated forest area and damage association with the landscape was carried out using an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital elevation model. The assessment was aimed to detail the forecast parameters for an outbreak development in mid-altitude mountains using the orographic features-altitude, terrain slope, and slope aspect. Early warnings of phytophagous insect outbreaks in mountain southern taiga should be focused on the permanent monitoring of dark coniferous stands of the mossy group of forest types, covering altitude levels from 400 to 600 m, located on gentle terrains and slopes of up to 15 degrees. The greatest vulnerability to phytophage impacts was characterized as areas located at altitudes from 400 to 600 m. The upper limit of D. sibiricus distribution was 900 m above sea level. The results obtained provide comprehensive information on the Siberian silk moth potential reserves within the study area with the possibility of extrapolation to similar territories. The data will make it possible to model pest outbreaks based on orography and improve the forest pathological monitoring methods at the regional level.

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Держатели документа:
Reshetnev Siberian State Univ Sci & Technol, Sci Lab Forest Hlth, 31 Krasnoyarskii Rabochii Prospekt, Krasnoyarsk 660037, Russia.
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, 50,Bil 28, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Sultson, Svetlana M.; Goroshko, Andrey A.; Verkhovets, Sergey V.; Mikhaylov, Pavel V.; Ivanov, Valery A.; Demidko, Denis A.; Kulakov, Sergey S.; Krasnoyarsk center for the collective use of the Federal research center of the Siberian branch of the Russian Academy of Sciences

/ S. Veraverbeke, CJF Delcourt, E. Kukavskaya [et al.] // Curr. Opin. Environ. Sci. Health. - 2021. - Vol. 23. - Ст. 100277, DOI 10.1016/j.coesh.2021.100277. - Cited References:39. - The authors thank the reviewers for their suggestions on the manuscript. Sander Veraverbeke thanks funding support from the Netherlands Organisation for Scientific Research (NWO) through his Vidi grant `Fires pushing trees North' (016. Vidi.189.070). Brendan Rogers acknowledges support from the National Aeronautics and Space Administration (NASA) Arctic-Boreal Vulnerability Experiment (NNX15AU56A) and the Gordon and Betty Moore Foundation (Grant #8414). Elena Kukavskaya thanks funding support from the RFBR, Government of the Krasnoyarsk krai and the Krasnoyarsk regional foundation of scientific and scientific-technical support (Grant #20-44-242004). . - ISSN 2468-5844
Аннотация: Increases in arctic-boreal fires can switch these biomes from a long-term carbon (C) sink to a source of atmospheric C through direct fire emissions and longer-term emissions from soil respiration. We here review advances made by the arcticboreal fire science community over the last three years. Landscapes of intermediate drainage tend to experience the highest C combustion, dominated by soil C emissions, because of relatively thick and periodically dry organic soils. These landscapes may also induce a climate warming feedback through combustion and postfire respiration of legacy C, including from permafrost thaw and degradation. Legacy C is soil C that had escaped burning in the previous fire. Data shortages from fires in tundra ecosystems and Eurasian boreal forests limit our understanding of C emissions from arcticboreal fires. Interactions between fire, topography, vegetation, soil, and permafrost need to be considered when estimating climate feedbacks of arctic-boreal fires. (C) 2021 The Author(s). Published by Elsevier B.V.

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Держатели документа:
Vrije Univ Amsterdam, Fac Sci, Amsterdam, Netherlands.
Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch, FRC KSC SB RAS,Separate Subdiv, Krasnoyarsk, Russia.
No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA.
Woodwell Climate Res Ctr, Falmouth, MA USA.

Доп.точки доступа:
Veraverbeke, Sander; Delcourt, Clement J. F.; Kukavskaya, Elena; Mack, Michelle; Walker, Xanthe; Hessilt, Thomas; Rogers, Brendan; Scholten, Rebecca C.; Netherlands Organisation for Scientific Research (NWO)Netherlands Organization for Scientific Research (NWO) [016. Vidi.189.070]; National Aeronautics and Space Administration (NASA) Arctic-Boreal Vulnerability Experiment [NNX15AU56A]; Gordon and Betty Moore FoundationGordon and Betty Moore Foundation [8414]; RFBR, Government of the Krasnoyarsk krai; Krasnoyarsk regional foundation of scientific and scientific-technical support [20-44-242004]

/ 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 1091-6490РУБ Multidisciplinary Sciences

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.

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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]