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

[Text] / K. R. Briffa [et al.] // Holocene. - 2002. - Vol. 12, Is. 6. - P737-757, DOI 10.1191/0959683602hl587rp. - Cited References: 26 . - 21. - ISSN 0959-6836РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: A detailed description is presented of the statistical patterns of climate forcing of tree growth (annual maximum latewood density and ring-width time series), across a network of 387 specially selected conifer sites that circle the extra-tropical Northern Hemisphere, The influence of summer temperature dominates growth. A mean April-September response is optimum for describing the major forcing signal over the whole densitometric network, though a shorter June-July season is more relevant in central and eastern Siberia. The ring-width chronologies also have a shorter optimum (June-August) seasonal signal, but this is much weaker than the density signal. The association between tree-ring density and precipitation variability (as measured by partial correlations to account for the correlation between temperature and precipitation) is considerably weaker than with temperature. The ring-width response to precipitation is dominated by 'noise' and local site influences, though a negative response to winter precipitation in northern Siberia is consistent A with the suggestion of an influence of delayed snowmelt. Average correlations with winter temperatures are small for all regions and correlations with annual temperatures are positive only because of the strong link with summer temperatures. Reconstructions of summer temperature based on composite regional density chronologies for nine areas are presented. Five regions (northwestern North America, NWNA; eastern and central Canada, ECCA; northern Europe. NEUR; northern Siberia, NSIB; and eastern Siberia, ESIB) constitute an arbitrary 'northern' division of the network, while the four other regions (western North America, WNA; southern Europe, SEUR; central Asia, CAS and the Tibetan Plateau, TIBP) make up the 'southern' part, We also present two larger composite regional reconstructions comprising the data from the five higher-latitude (HILAT) and four lower-latitude (LOLAT) areas respectively: and a single series made up of data from all regions (ALL), which is highly correlated with Northern Hemisphere mean summer temperature. We calculate time-dependent uncertainty ranges for each of these reconstructions, though they are not intended to represent long timescales of temperature variability (>100 years) because the technique used to assemble the site chronologies precludes this. Finally, we examine in more detail the reduced sensitivity in the tree-growth data to decadal-timescale summer-temperature trends during the last 50 years, identified in earlier published work.

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Держатели документа:
Univ E Anglia, Climat Res Unit, Norwich NR4 7TJ, Norfolk, England
Swiss Fed Inst Forest Snow & Landscape Res, CH-8903 Birmensdorf, Switzerland
Russian Acad Sci, Ural Div, Inst Plant & Anim Ecol, Ekaterinburg 620219, Russia
Russian Acad Sci, Siberian Div, Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Briffa, K.R.; Osborn, T.J.; Schweingruber, F.H.; Jones, P.D.; Shiyatov, S.G.; Vaganov, E.A.

/ N. -N. Zhao [et al.] // Plant Soil. - 2014. - Vol. 384, Is. 1-2. - P289-301, DOI 10.1007/s11104-014-2210-x . - ISSN 0032-079X
Аннотация: Background Meadows and shrublands are two major vegetation types on the Qinghai-Tibetan Plateau, but little is known about biochemical characteristics and its relation to decomposability of soil organic carbon (OC) under these two vegetation types. The present study was designed to evaluate effects of aspect-vegetation complex on biochemical characteristics and decomposability of soil OC. Methods Two hills were randomly selected; both with vegetation being naturally divided into southward meadows and northward shrublands by a ridge, and soils were sampled at depths of 0-15 and 15-30 cm, along contours traversing the meadow and shrubland sites. Particulate (particle size 2-0.05 mm) OC and nitrogen (N), microbial biomass C and N, non-cellulosic sugars, and CuO lignin were analyzed, and OC mineralization was measured for 49 days at 18 and 25 °C under laboratory incubation, respectively. Results More than half of soil OC was present as particulate fraction across all samples, indicating the coarse nature of soil organic matter in the region. Averaging over depths, shrublands contained 87.7 - 114.1 g OC and 7.7 - 9.3 g N per kg soil, which were 63 - 78 and 26 - 31 % higher than those in meadows, respectively. Meanwhile the C/N ratio of soil organic matter was 11.4 - 12.3 under shrublands, being 29 - 40 % higher than that under meadows. Soil OC under meadows was richer in noncellulosic carbohydrates and microbial biomass in the 0-15 and 15-30 cm depths but contained less lignin in the 15-30 cm depth. Ratios of microbially- to plant-derived monosaccharides and between acid and aldehyde of the vanillyl units were greater in soils under shrublands, showing more abundant microbially-derived sugars and microbially-transformed ligneous substances in OC as compared to meadow soils. By the end of 49 days' incubation, total CO2-C evolution from soils under meadows was 15.0-16.2 mg g-1 OC averaging over incubation temperatures and soil depths, being 27-55 % greater than that under shrublands. Across all soil samples over two sites, total CO2 - C evolved per g OC at either 18 or 25 °C was closely correlated to enrichments of noncellulosic carbohydrates and microbial biomass. This indicates that the greater soil OC decomposability under meadows was associated with its larger abundances of readily mineralizable fractions compared with shrublands. However, temperature increase effect on soil OC decomposability did not differ between the two types of vegetation. Conclusions Our findings suggest that the aspect-vegetation complex significantly affected pool size, biochemical characteristics, and decomposability of soil OC on the northeastern edge of Qinghai-Tibetan Plateau. However, the response of soil OC decomposability to temperature was similar between southward meadows and northward shrublands. © 2014 Springer International Publishing Switzerland.

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Держатели документа:
School of Life Sciences, Lanzhou University, Lanzhou, 730000, China
Institute of Soil Science, Leibniz Universitat Hannover, Hannover, 30419, Germany
VN Sukachev Institute of Forest, Krasnoyarsk, 660036, Russian Federation
King Saud University, Riyadh, Saudi Arabia

Доп.точки доступа:
Zhao, N.-N.; Guggenberger, G.; Shibistova, O.; Thao, D.T.; Shi, W.J.; Li, X.G.

/ W. Babel [et al.] // Biogeosciences. - 2014. - Vol. 11, Is. 23. - P6633-6656, DOI 10.5194/bg-11-6633-2014 . - ISSN 1726-4170
Аннотация: The Tibetan Plateau has a significant role with regard to atmospheric circulation and the monsoon in particular. Changes between a closed plant cover and open bare soil are one of the striking effects of land use degradation observed with unsustainable range management or climate change, but experiments investigating changes of surface properties and processes together with atmospheric feedbacks are rare and have not been undertaken in the world's two largest alpine ecosystems, the alpine steppe and the Kobresia pygmaea pastures of the Tibetan Plateau. We connected measurements of micro-lysimeter, chamber, 13C labelling, and eddy covariance and combined the observations with land surface and atmospheric models, adapted to the highland conditions. This allowed us to analyse how three degradation stages affect the water and carbon cycle of pastures on the landscape scale within the core region of the Kobresia pygmaea ecosystem. The study revealed that increasing degradation of the Kobresia turf affects carbon allocation and strongly reduces the carbon uptake, compromising the function of Kobresia pastures as a carbon sink. Pasture degradation leads to a shift from transpiration to evaporation while a change in the sum of evapotranspiration over a longer period cannot be confirmed. The results show an earlier onset of convection and cloud generation, likely triggered by a shift in evapotranspiration timing when dominated by evaporation. Consequently, precipitation starts earlier and clouds decrease the incoming solar radiation. In summary, the changes in surface properties by pasture degradation found on the highland have a significant influence on larger scales.

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Держатели документа:
Department of Micrometeorology, University of BayreuthBayreuth, Germany
Department of Plant Ecology and Ecosystem Research, University of GottingenGottingen, Germany
Department of Botany, Senckenberg Museum GorlitzGorlitz, Germany
Department of Soil Sciences of Temperate Ecosystems, University of GottingenGottingen, Germany
Department of Geography, Centre for Atmospheric Science, University of CambridgeCambridge, United Kingdom
Institute of Integrated Environmental Sciences, University of Koblenz-LandauKoblenz, Germany
Institute for Soil Science, Leibniz Universitat HannoverHanover, Germany
V. N. Sukachev Institute of ForestKrasnoyarsk, Russian Federation
School of Life Sciences, Lanzhou UniversityLanzhou, China
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of SciencesBeijing, China
Institute of Tibetan Plateau Research, Key Laboratory of Tibetan Environment Changes and Land Surface, Chinese Academy of Sciences, ProcessesBeijing, China
Institute of Tibetan Plateau Research, Laboratory of Alpine Ecology and Biodiversity Focuses, Chinese Academy of Sciences, ProcessesBeijing, China
German Centre for Integrative Biodiversity Research (IDiv)Halle-Jena-Leipzig, Germany
Department of Agricultural Soil Science, University of GottingenGottingen, Germany
Institute of Environmental Sciences, Kazan Federal UniversityKazan, Russian Federation
Faculty of Geography, University of MarburgMarburg, Germany
Member of Bayreuth Center of Ecology and Ecosystem ResearchBayreuth, Germany
Centre for Environmental and Climate Research, Lund UniversityLund, Sweden
Thunen Institute of Climate-Smart AgricultureBraunschweig, Germany
University of Innsbruck Institute of Ecology ResearchInnsbruck, Austria
Department of Meteorology, Pennsylvania State UniversityPA, United States

Доп.точки доступа:
Babel, W.; Biermann, T.; Coners, H.; Falge, E.; Seeber, E.; Ingrisch, J.; Schleu?, P.-M.; Gerken, T.; Leonbacher, J.; Leipold, T.; Willinghofer, S.; Schutzenmeister, K.; Shibistova, O.; Becker, L.; Hafner, S.; Spielvogel, S.; Li, X.; Xu, X.; Sun, Y.; Zhang, L.; Yang, Y.; Ma, Y.; Wesche, K.; Graf, H.-F.; Leuschner, C.; Guggenberger, G.; Kuzyakov, Y.; Miehe, G.; Foken, T.

/ M. He [et al.] // Dendrochronologia. - 2017. - Vol. 42. - P31-41, DOI 10.1016/j.dendro.2017.01.002 . - ISSN 1125-7865
Аннотация: Response of climate warming on tree-ring formation has attracted much attention during recent years. However, most studies are based on statistical analysis, lacking understanding of tree-physiological processes, especially in the mountainous regions of the Tibetan Plateau (TP). Herein, we firstly use an updated new version of the tree-ring process-based Vaganov-Shashkin model (VS-oscilloscope) to simulate tree-ring formation and its relationships with climate factors during the past six decades. Our analyses covered 341 sampled trees growing within elevations ranging from 2750 to 4575 m a.s.l. at five sampling sites across the TP. Simulated tree-ring width series are significantly (p < 0.01) correlated with actual tree-ring width chronologies during their common interval periods. Starting dates of tree-ring formation are determined by temperature at all five sampling sites. After the initiation of tree stem cambial activity, soil moisture content has a significant effect on tree radial growth. Ending dates of cambial activity are driven by temperature over the whole study region. Simulated results indicate differences between wide and narrow tree-rings are mostly induced by soil moisture content, especially during the first half of the growing season, when effects from temperature variations are minor. Interestingly, we detected significantly (p < 0.001) increased relative growth rates due to higher soil moisture content after the year 1985 at the five sampling sites. However, the variability of mean relative growth rates due to temperature is negligible before and after that. Based on the successful application of VS-oscilloscope modeling on the high-elevation tree stands on the TP, our study provides a new perspective on tree radial growth process and their varying relationships to climate factors during the past six decades. © 2017 Elsevier GmbH

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Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
Mathematical Methods and Information Technology Department, Siberian Federal University, L. Prushinskoi street, 2, Krasnoyarsk, Russian Federation
V.N Sukachev Institute of Forest SB RAS, Laboratory of Tree-Ring Structure, Krasnoyarsk, Russian Federation
Institute of Geography, University of Erlangen-Nurnberg, Erlangen, Germany

Доп.точки доступа:
He, M.; Shishov, V.; Kaparova, N.; Yang, B.; Brauning, A.; Grie?inger, J.

/ S. Guillet [et al.] // Nat. Geosci. - 2017. - Vol. 10, Is. 2. - P123-+, DOI 10.1038/NGEO2875. - Cited References:45. - S.G., C.C., M.S. and O.V.C. acknowledge support from the Era.Net RUSplus project ELVECS (SNF project number: IZRPZ0_164735). This study benefited from data gathered within the ANR CEPS GREENLAND project. V.S.M. received support from the Russian Science Foundation (project no. 15-14-30011). R. Hantemirov kindly provided a millennium-long chronology. The authors are grateful to W. S. Atwell and W. Wayne-Farris for discussions on historical sources from Japan as well as to M. Luisa Avila for her help with Muslim sources from Mediaeval Spain. S.G. and C.C. are very grateful to S. Finet, L. Fazan and P. Guerin for their help with R-scripts, translations and fruitful discussions, respectively. . - ISSN 1752-0894. - ISSN 1752-0908РУБ Geosciences, Multidisciplinary

Аннотация: The eruption of Samalas in Indonesia in 1257 ranks among the largest sulfur-rich eruptions of the Common Era with sulfur deposition in ice cores reaching twice the volume of the Tambora eruption in 1815. Sedimentological analyses of deposits confirm the exceptional size of the event, which had both an eruption magnitude and a volcanic explosivity index of 7. During the Samalas eruption, more than 40 km(3) of dense magma was expelled and the eruption column is estimated to have reached altitudes of 43 km. However, the climatic response to the Samalas event is debated since climate model simulations generally predict a stronger and more prolonged surface air cooling of Northern Hemisphere summers than inferred from tree-ring-based temperature reconstructions. Here, we draw on historical archives, ice-core data and tree-ring records to reconstruct the spatial and temporal climate response to the Samalas eruption. We find that 1258 and 1259 experienced some of the coldest Northern Hemisphere summers of the past millennium. However, cooling across the Northern Hemisphere was spatially heterogeneous. Western Europe, Siberia and Japan experienced strong cooling, coinciding with warmer-than-average conditions over Alaska and northern Canada. We suggest that in North America, volcanic radiative forcing was modulated by a positive phase of the El Nino-Southern Oscillation. Contemporary records attest to severe famines in England and Japan, but these began prior to the eruption. We conclude that the Samalas eruption aggravated existing crises, but did not trigger the famines.

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Univ Bern, Inst Geol Sci, Dendrolab Ch, Baltzerstr 1 3, CH-3012 Bern, Switzerland.
Univ Blaise Pascal, CNRS, UMR 6042, Geolab, 4 Rue Ledru, F-63057 Clermont Ferrand, France.
Univ Geneva, Inst Environm Sci, Climat Change & Climate Impacts, 66 Blvd Carl Vogt, CH-1205 Geneva, Switzerland.
Univ Geneva, Dept Earth Sci, Rue Maraichers 13, CH-1205 Geneva, Switzerland.
Univ Paris 06, Lab Oceanog & Climat Expt Approches Numer, 4 Pl Jussieu, F-75252 Paris 05, France.
Univ Paris 1 Pantheon Sorbonne, Lab Geog Phys, 1 Pl Aristide Briand, F-92195 Meudon, France.
Univ Reading, Dept Meteorol, NCAS Climate, Reading RG6 6BB, Berks, England.
UR ETNA Univ Grenoble Alpes, Irstea, 2 Rue Papeterie, F-38402 St Martin Dheres, France.
Univ Paris Saclay, Lab Sci Climat & Environm, Inst Pierre Simon Laplace, CEA,CNRS,UVSQ,UMR8212, F-91191 Gif Sur Yvette, France.
VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, RU-660041 Krasnoyarsk, Russia.
William Paterson Univ, Dept Environm Sci, Wayne, NJ 07470 USA.
Univ Arizona, Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
CNRS, UMR 7299, CCJ, Maison Mediterraneenne Sci Homme 5 Rue Chateau, F-13094 Aix En Provence, France.
Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
Chinese Acad Sci, Ctr Excellence & Innovat Tibetan Plateau Earth Sy, Beijing 100101, Peoples R China.
Univ Western Ontario, Dept Geog, 1151 Richmond St, London, ON N6A 5C2, Canada.
Aix Marseille Univ, CNRS, IRD, Coll France,CEREGE,ECCOREV, F-13545 Aix En Provence, France.
Univ Cambridge, Dept Geog, Downing Pl, Cambridge CB2 3EN, England.

Доп.точки доступа:
Guillet, Sebastien; Corona, Christophe; Stoffel, Markus; Khodri, Myriam; Lavigne, Franck; Ortega, Pablo; Eckert, Nicolas; Sielenou, Pascal Dkengne; Daux, Valerie; Churakova, O. V.; Davi, Nicole; Edouard, Jean-Louis; Zhang, Yong; Luckman, Brian H.; Myglan, Vladimir S.; Guiot, Joel; Beniston, Martin; Masson-Delmotte, Valerie; Oppenheimer, Clive; Era.Net RUSplus project ELVECS (SNF) [IZRPZ0_164735]; Russian Science Foundation [15-14-30011]

/ B. Yang [et al.] // Proc. Natl. Acad. Sci. U. S. A. - 2017. - Vol. 114, Is. 27. - P6966-6971, DOI 10.1073/pnas.1616608114. - Cited References:51. - We are grateful to the three anonymous reviewers for their invaluable comments. We are grateful to Q. B. Zhang, Z. S. Li, and X. H. Gou for providing the tree-ring data; to T. Che, L. Y. Dai, and L. Xiao for forwarding the snow depth dataset; to J. C. Xu and H. Y. Yu for providing phenological data; to C. Qin, M. Song, X. Wang, and T. Yang for doing support in simulation; to Prof. Quansheng Ge, Prof. Kathleen A. Campbell, David Chandler, and Martin Cregeen for suggestions and language edits; and to the National Natural Reserve of the Qilian Mountains for logistic support. We acknowledge the International Tree-Ring Data Bank as the source of some of our tree-ring data. This study was jointly funded by the National Natural Science Foundation of China (Grants 41520104005, 41325008, and 41661144008). V.S. and I.T. were supported by the Russian Science Foundation (Grant 14-14-00219P). V. S. acknowledges the support of the Chinese Academy of Sciences President's International Fellowship for Visiting Scientists (Grant 2016VEC033). M.H. appreciates the support of the Alexander von Humboldt Foundation. . - ISSN 0027-8424РУБ Multidisciplinary Sciences

Аннотация: Phenological responses of vegetation to climate, in particular to the ongoing warming trend, have received much attention. However, divergent results from the analyses of remote sensing data have been obtained for the Tibetan Plateau (TP), the world's largest high-elevation region. This study provides a perspective on vegetation phenology shifts during 1960-2014, gained using an innovative approach based on a well-validated, process-based, tree-ring growth model that is independent of temporal changes in technical properties and image quality of remote sensing products. Twenty composite site chronologies were analyzed, comprising about 3,000 trees from forested areas across the TP. We found that the start of the growing season (SOS) has advanced, on average, by 0.28 d/y over the period 1960-2014. The end of the growing season (EOS) has been delayed, by an estimated 0.33 d/y during 1982-2014. No significant changes in SOS or EOS were observed during 1960-1981. April-June and August-September minimum temperatures are the main climatic drivers for SOS and EOS, respectively. An increase of 1 degrees C in April-June minimum temperature shifted the dates of xylem phenology by 6 to 7 d, lengthening the period of tree-ring formation. This study extends the chronology of TP phenology farther back in time and reconciles the disparate views on SOS derived from remote sensing data. Scaling up this analysis may improve understanding of climate change effects and related phenological and plant productivity on a global scale.

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Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China.
Univ Erlangen Nurnberg, Inst Geog, D-91058 Erlangen, Germany.
Siberian Fed Univ, Math Methods & Informat Technol Dept, Krasnoyarsk 660075, Russia.
Russian Acad Sci, VN Sukachev Inst Forest, Lab Tree Ring Struct, Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Univ Quebec Chicoutimi, Dept Sci Fondamentales, Chicoutimi, PQ G7H 2B1, Canada.
Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, Prov Key Lab Appl Bot, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China.
Stockholm Univ, Dept Hist, SE-10691 Stockholm, Sweden.
Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden.

Доп.точки доступа:
Yang, Bao; He, Minhui; Shishov, Vladimir; Tychkov, Ivan; Vaganov, Eugene; Rossi, Sergio; Ljungqvist, Fredrik Charpentier; Brauning, A.; Griessinger, Jussi; National Natural Science Foundation of China [41520104005, 41325008, 41661144008]; Russian Science Foundation [14-14-00219P]; Chinese Academy of Sciences [2016VEC033]; Alexander von Humboldt Foundation

/ L. V. Belokopytova [et al.] // Contemp. Probl. Ecol. - 2018. - Vol. 11, Is. 4. - P366-376, DOI 10.1134/S1995425518040030. - Cited References:68. - The study was supported by the Russian Foundation for Basic Research (project no. 17-04-00315). . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: We compared three approaches to study climatic signals of Pinus sylvestris and Larix sibirica treering width chronologies from the forest-steppe zone of South Siberia, where both temperature and precipitation limit the conifer tree growth: 1-paired correlation of chronologies with monthly climatic variables; 2- paired and partial correlations with monthly and seasonal series of primary and secondary climatic factors, calculated in the Seascorr program; 3-paired correlation with a 15-day moving average series of climatic variables. The comparison showed that simple paired correlation with monthly series as the simplest approach could be used for a wide range of dendroclimatic studies, both as a main procedure and for preliminary analysis. The Seascorr analysis is the most suitable for assessing climate-growth relationship in extreme growth conditions and for reconstructions of extremes, e.g. droughts, and of their impact periods. The application of the 15-day moving average series is limited by availability of daily climatic data, but it describes the seasonal window of climatic response with high precision. Altogether, the combination of three approaches allowed to explore the spatial-temporal pattern of the conifers radial growth climatic response in South Siberia.

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Siberian Fed Univ, Khakas Tech Inst, Abakan 655017, Russia.
Univ Arizona, Lab Tree Ring Res, Tucson, AZ 85721 USA.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Akad Gorodok 50-28, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Belokopytova, L. V.; Babushkina, E. A.; Zhirnova, D. F.; Panyushkina, I. P.; Vaganov, E. A.; Russian Foundation for Basic Research [17-04-00315]

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

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

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

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

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

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

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

/ U. Buntgen, K. Allen, K. J. Anchukaitis [et al.] // Nat. Commun. - 2021. - Vol. 12, Is. 1. - Ст. 3411, DOI 10.1038/s41467-021-23627-6 . - ISSN 2041-1723
Аннотация: Tree-ring chronologies underpin the majority of annually-resolved reconstructions of Common Era climate. However, they are derived using different datasets and techniques, the ramifications of which have hitherto been little explored. Here, we report the results of a double-blind experiment that yielded 15 Northern Hemisphere summer temperature reconstructions from a common network of regional tree-ring width datasets. Taken together as an ensemble, the Common Era reconstruction mean correlates with instrumental temperatures from 1794–2016 CE at 0.79 (p < 0.001), reveals summer cooling in the years following large volcanic eruptions, and exhibits strong warming since the 1980s. Differing in their mean, variance, amplitude, sensitivity, and persistence, the ensemble members demonstrate the influence of subjectivity in the reconstruction process. We therefore recommend the routine use of ensemble reconstruction approaches to provide a more consensual picture of past climate variability. © 2021, The Author(s).

Scopus

Держатели документа:
Department of Geography, University of Cambridge, Cambridge, United Kingdom
Swiss Federal Research Institute (WSL), Birmensdorf, Switzerland
Global Change Research Centre (CzechGlobe), Brno, Czech Republic
Department of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic
School of Ecosystem and Forest Sciences, University of Melbourne, Richmond, Australia
ARC Centre of Excellence for Australian Biodiversity and Heritage, University of NSW, Sydney, Australia
School of Geography, Development, and Environment and Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, United States
Department of Biology, Chemistry and Geography, University of Quebec in Rimouski, Rimouski, QC, Canada
Department of Geography, Universite du Quebec a Montreal, Montreal, QC, Canada
GEOTOP, Universite du Quebec a Montreal, Montreal, QC, Canada
Centre d’Etudes Nordiques, Universite Laval, Quebec, QC, Canada
Institute of Geography, Friedrich-Alexander-University of Erlangen-Nurnberg, Erlangen, Germany
School of Statistics, University of Minnesota, Minneapolis, MN, United States
Institute of Ecology and Geography, Siberian Federal University, Krasnoyarsk, Russian Federation
Universite Clermont-Auvergne, Geolab UMR 6042 CNRS, Clermont-Ferrand, France
Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
GREMA and Forest Research Institute, Universite du Quebec en Abitibi?Temiscamingue, Amos, Canada
Aix Marseille University, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France
Department of Physical Geography, Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Natural Resources Institute Finland, Rovaniemi, Finland
Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, United States
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Institute of Humanities, Siberian Federal University, Krasnoyarsk, Russian Federation
Department of Geography, University of Innsbruck, Innsbruck, Austria
McDonald Institute for Archaeological Research, Cambridge, United Kingdom
Department of Geography, Johannes Gutenberg University, Mainz, Germany
Department of Earth Sciences, Goteborg University, Goteborg, Sweden
Department of Earth & Climate Sciences, San Francisco State University, San Francisco, CA, United States
Department of Earth Sciences, University of Geneva, Geneva, Switzerland
Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Geneva, Switzerland
Department of Geography, Environment and Society, University of Minnesota, Minneapolis, MN, United States
Department of Atmospheric and Environmental Sciences, University at Albany (SUNY), Albany, NY, United States
Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
CAS Centre for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China
Qinghai Research Centre of Qilian Mountain National Park, Academy of Plateau Science and Sustainability and Qinghai Normal University, Xining, China
School of Earth and Environmental Sciences, University of St Andrews, Scotland, United Kingdom
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, United States
State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

Доп.точки доступа:
Buntgen, U.; Allen, K.; Anchukaitis, K. J.; Arseneault, D.; Boucher, E.; Brauning, A.; Chatterjee, S.; Cherubini, P.; Churakova (Sidorova), O. V.; Corona, C.; Gennaretti, F.; Grie?inger, J.; Guillet, S.; Guiot, J.; Gunnarson, B.; Helama, S.; Hochreuther, P.; Hughes, M. K.; Huybers, P.; Kirdyanov, A. V.; Krusic, P. J.; Ludescher, J.; Meier, W. J.-H.; Myglan, V. S.; Nicolussi, K.; Oppenheimer, C.; Reinig, F.; Salzer, M. W.; Seftigen, K.; Stine, A. R.; Stoffel, M.; St. George, S.; Tejedor, E.; Trevino, A.; Trouet, V.; Wang, J.; Wilson, R.; Yang, B.; Xu, G.; Esper, J.

/ U. Buntgen, K. Allen, K. J. Anchukaitis [et al.] // Nat. Commun. - 2021. - Vol. 12, Is. 1. - Ст. 3411, DOI 10.1038/s41467-021-23627-6. - Cited References:60. - R. Neukom kindly provided the re-scaled PAGES 2k data. U.B. and J.E. received funding from SustES: Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797), and the ERC project MONOSTAR (AdG 882727). C.C., S.G. and M.S. received funding from the SNF Sinergia project CALDERA (project no. 183571). S.C. acknowledges support from US National Science Foundation grants 1737918, 1939916 and 1939956. . - ISSN 2041-1723РУБ Multidisciplinary Sciences

Аннотация: Tree-ring chronologies underpin the majority of annually-resolved reconstructions of Common Era climate. However, they are derived using different datasets and techniques, the ramifications of which have hitherto been little explored. Here, we report the results of a double-blind experiment that yielded 15 Northern Hemisphere summer temperature reconstructions from a common network of regional tree-ring width datasets. Taken together as an ensemble, the Common Era reconstruction mean correlates with instrumental temperatures from 1794-2016 CE at 0.79 (p0.001), reveals summer cooling in the years following large volcanic eruptions, and exhibits strong warming since the 1980s. Differing in their mean, variance, amplitude, sensitivity, and persistence, the ensemble members demonstrate the influence of subjectivity in the reconstruction process. We therefore recommend the routine use of ensemble reconstruction approaches to provide a more consensual picture of past climate variability. Tree rings are a crucial archive for Common Era climate reconstructions, but the degree to which methodological decisions influence outcomes is not well known. Here, the authors show how different approaches taken by 15 different groups influence the ensemble temperature reconstruction from the same data.

WOS

Держатели документа:
Univ Cambridge, Dept Geog, Cambridge, England.
Swiss Fed Res Inst WSL, Birmensdorf, Switzerland.
Global Change Res Ctr CzechGlobe, Brno, Czech Republic.
Masaryk Univ, Fac Sci, Dept Geog, Brno, Czech Republic.
Univ Melbourne, Sch Ecosyst & Forest Sci, Richmond, Australia.
Univ NSW, ARC Ctr Excellence Australian Biodivers & Herita, Sydney, NSW, Australia.
Univ Arizona, Sch Geog Dev & Environm, Tucson, AZ USA.
Univ Arizona, Lab Tree Ring Res, Tucson, AZ USA.
Univ Quebec Rimouski, Dept Biol Chem & Geog, Rimouski, PQ, Canada.
Univ Quebec Montreal, Dept Geog, Montreal, PQ, Canada.
Univ Quebec Montreal, GEOTOP, Montreal, PQ, Canada.
Univ Laval, Ctr Etud Nord, Quebec City, PQ, Canada.
Friedrich Alexander Univ Erlangen Nurnberg, Inst Geog, Erlangen, Germany.
Univ Minnesota, Sch Stat, Minneapolis, MN 55455 USA.
Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia.
Univ Clermont Auvergne, Geolab UMR 6042 CNRS, Clermont Ferrand, France.
Univ Geneva, Inst Environm Sci, Geneva, Switzerland.
Univ Quebec Abitibi Temiscamingue, GREMA, Amos, PQ, Canada.
Univ Quebec Abitibi Temiscamingue, Forest Res Inst, Amos, PQ, Canada.
Aix Marseille Univ, Coll France, CEREGE, INRA,CNRS,IRD, Aix En Provence, France.
Stockholm Univ, Bolin Ctr Climate Res, Dept Phys Geog, Stockholm, Sweden.
Nat Resources Inst Finland, Rovaniemi, Finland.
Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 USA.
Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia.
Potsdam Inst Climate Impact Res PIK, Potsdam, Germany.
Siberian Fed Univ, Inst Humanities, Krasnoyarsk, Russia.
Univ Innsbruck, Dept Geog, Innsbruck, Austria.
McDonald Inst Archaeol Res, Cambridge, England.
Johannes Gutenberg Univ Mainz, Dept Geog, Mainz, Germany.
Gothenburg Univ, Dept Earth Sci, Gothenburg, Sweden.
San Francisco State Univ, Dept Earth & Climate Sci, San Francisco, CA 94132 USA.
Univ Geneva, Dept Earth Sci, Geneva, Switzerland.
Univ Geneva, Dept FA Forel Environm & Aquat Sci, Geneva, Switzerland.
Univ Minnesota, Dept Geog Environm & Soc, Minneapolis, MN USA.
SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA.
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China.
Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
Acad Plateau Sci & Sustainabil, Qinghai Res Ctr Qilian Mt Natl, Xining, Peoples R China.
Qinghai Normal Univ, Xining, Peoples R China.
Univ St Andrews, Sch Earth & Environm Sci, St Andrews, Fife, Scotland.
Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA.
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Peoples R China.

Доп.точки доступа:
Buntgen, Ulf; Allen, Kathy; Anchukaitis, Kevin J.; Arseneault, Dominique; Boucher, Etienne; Brauning, A.; Chatterjee, Snigdhansu; Cherubini, Paolo; Churakova, Olga, V; Corona, Christophe; Gennaretti, Fabio; Griessinger, Jussi; Guillet, Sebastian; Guiot, Joel; Gunnarson, Bjoern; Helama, Samuli; Hochreuther, Philipp; Hughes, Malcolm K.; Huybers, Peter; Kirdyanov, Alexander, V; Krusic, Paul J.; Ludescher, Josef; Meier, Wolfgang J-H; Myglan, Vladimir S.; Nicolussi, Kurt; Oppenheimer, Clive; Reinig, Frederick; Salzer, Matthew W.; Seftigen, Kristina; Stine, Alexander R.; Stoffel, Markus; St George, Scott; Tejedor, Ernesto; Trevino, Aleyda; Trouet, Valerie; Wang, Jianglin; Wilson, Rob; Yang, Bao; Xu, J.; Esper, Jan; Anchukaitis, Kevin; SustES: Adaptation strategies for sustainable ecosystem services and food security [CZ.02.1.01/0.0/0.0/16_019/0000797]; ERC project MONOSTAR [AdG 882727]; SNF Sinergia project CALDERA [183571]; US National Science FoundationNational Science Foundation (NSF) [1737918, 1939916, 1939956]

/ U. Buntgen, K. Allen, K. J. Anchukaitis [et al.] // Nat. Commun. - 2021. - Vol. 12, Is. 1. - Ст. 3411, DOI 10.1038/s41467-021-23627-6. - Cited References:60. - R. Neukom kindly provided the re-scaled PAGES 2k data. U.B. and J.E. received funding from SustES: Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797), and the ERC project MONOSTAR (AdG 882727). C.C., S.G. and M.S. received funding from the SNF Sinergia project CALDERA (project no. 183571). S.C. acknowledges support from US National Science Foundation grants 1737918, 1939916 and 1939956. . - ISSN 2041-1723РУБ Multidisciplinary Sciences

Аннотация: Tree rings are a crucial archive for Common Era climate reconstructions, but the degree to which methodological decisions influence outcomes is not well known. Here, the authors show how different approaches taken by 15 different groups influence the ensemble temperature reconstruction from the same data. Tree-ring chronologies underpin the majority of annually-resolved reconstructions of Common Era climate. However, they are derived using different datasets and techniques, the ramifications of which have hitherto been little explored. Here, we report the results of a double-blind experiment that yielded 15 Northern Hemisphere summer temperature reconstructions from a common network of regional tree-ring width datasets. Taken together as an ensemble, the Common Era reconstruction mean correlates with instrumental temperatures from 1794-2016 CE at 0.79 (p 0.001), reveals summer cooling in the years following large volcanic eruptions, and exhibits strong warming since the 1980s. Differing in their mean, variance, amplitude, sensitivity, and persistence, the ensemble members demonstrate the influence of subjectivity in the reconstruction process. We therefore recommend the routine use of ensemble reconstruction approaches to provide a more consensual picture of past climate variability.

WOS

Держатели документа:
Univ Cambridge, Dept Geog, Cambridge, England.
Swiss Fed Res Inst WSL, Birmensdorf, Switzerland.
Global Change Res Ctr CzechGlobe, Brno, Czech Republic.
Masaryk Univ, Fac Sci, Dept Geog, Brno, Czech Republic.
Univ Melbourne, Sch Ecosyst & Forest Sci, Richmond, Australia.
Univ NSW, ARC Ctr Excellence Australian Biodivers & Heritag, Sydney, NSW, Australia.
Univ Arizona, Sch Geog Dev & Environm, Tucson, AZ USA.
Univ Arizona, Lab Tree Ring Res, Tucson, AZ USA.
Univ Quebec Rimouski, Dept Biol Chem & Geog, Rimouski, PQ, Canada.
Univ Quebec Montreal, Dept Geog, Montreal, PQ, Canada.
Univ Quebec Montreal, GEOTOP, Montreal, PQ, Canada.
Univ Laval, Ctr Etud Nordiques, Quebec City, PQ, Canada.
Friedrich Alexander Univ Erlangen Nurnberg, Inst Geog, Erlangen, Germany.
Univ Minnesota, Sch Stat, Minneapolis, MN 55455 USA.
Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia.
Univ Clermont Auvergne, Geolab UMR 6042 CNRS, Clermont Ferrand, France.
Univ Geneva, Inst Environm Sci, Geneva, Switzerland.
Univ Quebec Abitibi Temiscamingue, GREMA, Amos, PQ, Canada.
Univ Quebec Abitibi Temiscamingue, Forest Res Inst, Amos, PQ, Canada.
Aix Marseille Univ, CNRS, IRD, Coll France,CEREGE,INRA, Aix En Provence, France.
Stockholm Univ, Bolin Ctr Climate Res, Dept Phys Geog, Stockholm, Sweden.
Nat Resources Inst Finland, Rovaniemi, Finland.
Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA.
Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia.
Potsdam Inst Climate Impact Res PIK, Potsdam, Germany.
Siberian Fed Univ, Inst Humanities, Krasnoyarsk, Russia.
Univ Innsbruck, Dept Geog, Innsbruck, Austria.
McDonald Inst Archaeol Res, Cambridge, England.
Johannes Gutenberg Univ Mainz, Dept Geog, Mainz, Germany.
Gothenburg Univ, Dept Earth Sci, Gothenburg, Sweden.
San Francisco State Univ, Dept Earth & Climate Sci, San Francisco, CA 94132 USA.
Univ Geneva, Dept Earth Sci, Geneva, Switzerland.
Univ Geneva, Dept FA Forel Environm & Aquat Sci, Geneva, Switzerland.
Univ Minnesota, Dept Geog Environm & Soc, Minneapolis, MN USA.
SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA.
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China.
Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
Acad Plateau Sci & Sustainabil, Qinghai Res Ctr, Qilian Mt Natl Pk, Xining, Qinghai, Peoples R China.
Qinghai Normal Univ, Xining, Qinghai, Peoples R China.
Univ St Andrews, Sch Earth & Environm Sci, St Andrews, Fife, Scotland.
Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA.
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Peoples R China.

Доп.точки доступа:
Buntgen, U.; Allen, Kathy; Anchukaitis, Kevin J.; Arseneault, Dominique; Boucher, Etienne; Brauning, Achim; Chatterjee, Snigdhansu; Cherubini, Paolo; Churakova, O. V.; Corona, Christophe; Gennaretti, Fabio; Griessinger, Jussi; Guillet, Sebastian; Guiot, Joel; Gunnarson, Bjorn; Helama, Samuli; Hochreuther, Philipp; Hughes, Malcolm K.; Huybers, Peter; Kirdyanov, Alexander, V; Krusic, Paul J.; Ludescher, Josef; Meier, Wolfgang J-H; Myglan, Vladimir S.; Nicolussi, Kurt; Oppenheimer, Clive; Reinig, Frederick; Salzer, Matthew W.; Seftigen, Kristina; Stine, Alexander R.; Stoffel, Markus; St George, Scott; Tejedor, Ernesto; Trevino, Aleyda; Trouet, Valerie; Wang, Jianglin; Wilson, Rob; Yang, Bao; Xu, Guobao; Esper, Jan; SustES: Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions [CZ.02.1.01/0.0/0.0/16_019/0000797]; ERCEuropean Research Council (ERC)European Commission [AdG 882727]; SNF Sinergia project CALDERA [183571]; US National Science FoundationNational Science Foundation (NSF) [1737918, 1939916, 1939956]