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

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Найдено документов в текущей БД: 23

    The present state of the bogs in the projected impounding zone of the Boguchanskoye reservoir
/ L. V. Karpenko // Geography and Natural Resources. - 2009. - Vol. 30, Is. 1. - P54-59, DOI 10.1016/j.gnr.2009.03.011 . - ISSN 1875-3728
Аннотация: Presented are the results from field surveys of the bogs in the area of the projected Boguchanskoye reservoir. The study revealed their main types and provides a brief geobotanical description of the vegetation as well as the data on the waterlogging of the bogs, the thickness of peat beds, and granulometric composition of underlying materials. A classification of the kinds of peat is compiled. В© 2009.

Scopus

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

Доп.точки доступа:
Karpenko, L.V.

    Use of NOAA/AVHRR imagery in monitoring Siberian moth outbreaks
/ V. I. Kharuk [et al.] // Mapping Sciences and Remote Sensing. - 2001. - Vol. 38, Is. 4. - P272-281 . - ISSN 0749-3878

Кл.слова (ненормированные):
AVHRR -- coniferous forest -- damage -- monitoring -- moth -- NOAA satellite -- satellite imagery -- Russian Federation -- Dendrolimus sibiricus

Аннотация: A large-scale outbreak of the Siberian moth (Dendrolimus sibiricus) in the forests of the Lower Angara valley region (1993-1996) was analyzed on the basis of NOAA/AVHRR imaagery. The applicability of this type of imagery for detecting the foci of damage of tree stands with the discrimination of strong (50-75%) and very strong (>75%) dying and dead trees is demonstrated. The applicability of data from a winter survey was determined by the discovery of damaged tree stands. Summer/winter images were used in demarcating the northern boundary of the focal propagation of the Siberian moth.

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Полный текст

Держатели документа:
Forestry Institute, Siberian Section Russian Acad. Sci., Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kharuk, V.I.; Kozhukhovskaya, A.A.; Pestunov, I.A.; Ranson, K.; Tsibul'skiy, G.M.

    Paludification in the Tsentral'no-Sibirskii biosphere reserve (the Yenisei region of Siberia)
/ S. M. Gorozhankina // Russian Journal of Ecology. - 1997. - Vol. 28, Is. 2. - P67-72 . - ISSN 1067-4136

Аннотация: Characteristic features of paludification in an area of the Yenisei basin (Siberia) at 62В°-64В°N and 88В°-92В°E are described. Special attention is given to the general amount of peat deposits, topographic location of peat lands, parameters of peat accumulation, changes in cryogenesis with progression of swamping, typological structure of hydromorphic ecosystems, and characteristics of their evolution. Taking this specificity into account, a suggestion is advanced to correct survey schemes of territorial subdivision of the studied area with respect to paludification characteristics. В© 1997 MAHK Hayka/Interperiodica Publishing.

Scopus

Держатели документа:
Sukachev Institute of Forest, Krasnoyarsk-36, 660036, Russian Federation

Доп.точки доступа:
Gorozhankina, S.M.

    Landslide-induced changes of soil physicochemical properties in Xitou, Central Taiwan
/ C. -H. Cheng [et al.] // Geoderma. - 2016. - Vol. 265. - P187-195, DOI 10.1016/j.geoderma.2015.11.028 . - ISSN 0016-7061
Аннотация: Steep mountain terrain, fractured geological environments, and intense precipitation events are primary factors that contribute to frequent landslides in mountainous regions. Landslides exert an immense impact on forest ecosystems and substantially change soil properties; understanding these changes is crucial to facilitating subsequent forest revegetation and management. In this study, the effects of landslide on soil physicochemical properties were investigated in a moist montane forest ecosystem in Xitou, Central Taiwan. We established a dataset comprised historical soil survey data obtained in 1976 and data from soil samples taken in 2012 at the same locations to compare differences in soil properties after landslide deposition, and also conducted soil sampling along a landslide/nonlandslide affected sequence to determine how the degree of landslide deposition affected soil physicochemical properties. The results indicated that rock fragment content, soil pH value, bulk density, inorganic carbon, and base saturation increased following landslide deposition and that severe landslide deposition caused more substantial increases. By contrast, the thicknesses of the O and A horizons, soil organic carbon, total nitrogen, and cation-exchange capacity significantly decreased following landslides; these decreases were more substantial with increasing degree of landslide deposition. Exchangeable potassium, calcium, magnesium, and available phosphorus content, however, were unaffected by landslide deposition. The results demonstrated that soil physicochemical properties were significantly altered after landslide deposition; these resultant changes, particularly in regard to high soil pH value, poor structure, and low soil organic carbon and total nitrogen, are expected to influence functions in forest ecosystems. © 2015 Elsevier B.V.

Scopus,
WOS

Держатели документа:
School of Forestry and Resource Conservation, National Taiwan University, Taipei, Taiwan
NTU Experimental Forest, National Taiwan University, Nantou, Taiwan
Institute of Forest SR RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Cheng, C.-H.; Hsiao, S.-C.; Huang, Y.-S.; Hung, C.-Y.; Pai, C.-W.; Chen, C.-P.; Menyailo, O. V.
Свободных экз. нет

    Dynamics of water mass in the Central Siberia permafrost zone based on gravity survey from the grace satellites
/ S. T. Im, V. I. Kharuk // Izv. Atmos. Ocean Phys. - 2015. - Vol. 51, Is. 8. - P806-818, DOI 10.1134/S0001433815080046 . - ISSN 0001-4338

Кл.слова (ненормированные):
GRACE -- gravimetric survey -- permafrost thawing -- permafrost zone of Siberia

Аннотация: The GRACE gravimetric survey is applied to analyze the equivalent water mass anomalies (EWMAs) in the permafrost zone of Central Siberia. Variations in EWMAs are related to precipitation, air temperature, potential evapotranspiration, and soil composition (drainage conditions). The EWMA dynamics demonstrates two periods. The period of 2003–2008 is characterized by a positive trend. The one of 2008–2012 shows a decrease in the trend with a simultaneous increase by 30–70% of EWMA dispersion in the background of growth (up to 40%) of precipitation variability. The rate of water mass increment demonstrates a positive correlation with the sand and gravel contents in soil (r = 0.72) and a negative one with clay content (r =–0.69 to–0.77). For Taimyr Peninsula, there is a deficit of residual water mass (~250 mm for the period of 2012–2013) indicating the deeper thawing of permafrost soils. In the Central Siberian Plateau, the indicator of more intensive permafrost thawing (and that of an increase in active layer thickness) is a considerable trend of water mass increase (2003–2008). The increasing trend of the largest Siberian rivers (Yenisei and Lena) is revealed in the period of 2003–2012. © 2015, Pleiades Publishing, Ltd.

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Держатели документа:
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50, buiding 28, Krasnoyarsk, Russian Federation
Institute of Economy, Management, and Nature Use, Siberian Federal University, ul. Kirenskogo 266, Krasnoyarsk, Russian Federation
Reshetnev Siberian State Aerospace University, pr. imeni gazety “Krasnoyarskii rabochii” 31, building A, Krasnoyarsk, Russian Federation
Institute of Space and Information Technologies, Siberian Federal University, pr. Svobodnyi 79, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Im, S. T.; Kharuk, V. I.

    Radiometric Study of Soil Profiles in the Infrared Band
/ T. V. Ponomareva, E. I. Ponomarev // Eurasian Soil Sci. - 2016. - Vol. 49, Is. 2. - P198-204, DOI 10.1134/S1064229316020083 . - ISSN 1064-2293

Кл.слова (ненормированные):
gradient -- Luvisols -- Retisols -- soil temperature

Аннотация: The applicability of radiometric survey of soil profiles in the infrared range for the analysis of soil physical properties was studied. Radiometric data were obtained for different dates of the growing season for a number of soil profiles. The specificity of temperature profiles of texture-differentiated soils (Luvisols and Retisols) as related to weather conditions of the growing season was examined. The correlation analysis showed a close relationship between the air and surface soil temperatures and between the radiometric and thermodynamic soil temperatures in the upper 10 cm. In the studied profiles, the gradient of radiometric temperatures reached 0.5–0.8°C/cm in the humus horizons and sharply decreased at the depth of more than 15–20 cm. The gradient analysis of radiometric images made it possible to outline the boundaries of soil horizons. For the texture-differentiated soils, the most distinct boundaries were established between the gray-humus AY horizon and the underlying eluvial EL horizon in podzolic soils and between the AY horizon and the underlying humus-eluvial AEL horizon in gray soils. © 2016, Pleiades Publishing, Ltd.

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Держатели документа:
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Akademgorodok 50/28, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ponomareva, T. V.; Ponomarev, E. I.

    A synthesis of radial growth patterns preceding tree mortality
/ M. Cailleret [et al.] // Glob. Change Biol. - 2017. - Vol. 23, Is. 4. - P1675-1690, DOI 10.1111/gcb.13535. - Cited References:86. - This study generated from the COST Action STReESS (FP1106) financially supported by the EU Framework Programme for Research and Innovation HORIZON 2020. We are particularly grateful to Professor Dr. Ute Sass-Klaassen from Wageningen University (the Netherlands), chair of the action, for making this metastudy possible. We also thank members of the Laboratory of Plant Ecology from the University of Ghent (Belgium) for their help while compiling the database; Louise Filion for sharing her dataset; Dario Martin-Benito for providing some For-Clim parameters; the ARC-NZ Vegetation Function Network for supporting the compilation of the Xylem Functional Traits dataset; Edurne Martinez del Castillo for the creation of Fig. 1; and two anonymous reviewers and Phillip van Mantgem (USGS) for their suggestions to improve the quality of the manuscript. MC was funded by the Swiss National Science Foundation (Project Number 140968); SJ by the German Research Foundation (JA 2174/3-1); EMRR by the Research Foundation - Flanders (FWO, Belgium), and by the EU HORIZON 2020 Programme through a Marie Sklodowska-Curie IF Fellowship (No. 659191); LDS by a postdoctoral fellowship from the Portuguese Fundacao para a Ciencia e a Tecnologia (FCT) (SFRH/BPD/70632/2010); TA by the Academy of Finland (Project Nos. 252629 and 276255); JAA by the British Columbia Forest Science Program and the Forest Renewal BC (Canada); BB and WO by the Austrian Science Fund (FWF, Hertha Firnberg Programme Project T667-B16 and FWF P25643-B16); VC, PJ, MS, and VT by the Czech Ministry of Education (MSMT, Project COST CZ Nos.; LD13064 and LD14074); JJC, JCLC, and GSB by the Spanish Ministry of Economy (Projects CGL2015-69186-C21-R, CGL2013-48843-C2-2-R, and CGL2012-32965) and the EU (Project FEDER 0087 TRANSHABITAT); MRC by the Natural Sciences and Engineering Research Council of Canada (NSERC) and by the Service de la protection contre les insectes et les maladies du ministere des forets du Quebec (Canada); KC by the Slovenian Research Agency (ARRS) Program P4-0015; AD by the United States Geological Survey (USGS); HD by the French National Research Agency (ANR, DRYADE Project ANR-06VULN-004) and the Metaprogram Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA); MD by the Israeli Ministry of Agriculture and Rural Development as a chief scientist and by the Jewish National Fund (Israel); GGI by the Spanish Ministry of Economy and Competitiveness (Project AGL2014-61175-JIN); SG by the Bundesministerium fur Bildung und Forschung (BMBF) through the Project REGKLAM (Grant Number: 01 LR 0802) (Germany); LJH by the Arkansas Agricultural Experiment Station (United States of America) and the United States Department of Agriculture - Forest Service; HH by the Natural Sciences and Engineering Research Council of Canada; AMH by the Spanish Ministry of Science and Innovation (Projects CGL2007-60120 and CSD2008-0040) and by the Spanish Ministry of Education via a FPU Scholarship; VIK by the Russian Science Foundation (Grant #14-24-00112); TKi and RV by the Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET Grant PIP 112-201101-00058 and PIP 112-2011010-0809) (Argentina); TKl by the Weizmann Institute of Science (Israel) under supervision of Professor Dan Yakir, by the Keren Kayemeth LeIsrael (KKL) - Jewish National Fund (JNF) (Alberta-Israel Program 90-9-608-08), by the Sussman Center (Israel), by the Cathy Wills and Robert Lewis Program in Environmental Science (United Kingdom), by the France-Israel High Council for Research Scientific and Technological Cooperation (Project 3-6735), and by the Minerva Foundation (Germany); KK by the project 'Resilience of Forests' of the Ministry of Economic Affairs (the Netherlands - WUR Investment theme KB19); TL by the program and research group P4-0107 Forest Ecology, Biology and Technology (Slovenia); RLV by a postdoctoral fellowship from the Portuguese Fundacao para a Ciencia e a Tecnologia (FCT; SFRH/BPD/86938/2012); RLR by the EU FP7 Programme through a Marie Sklodowska-Curie IOF Fellowship (No. 624473); HM by the Academy of Finland (Grant Nos. 257641 and 265504); SM by Sparkling Science of the Federal Ministry of Science, Research and Economy (BMWFW) of Austria; IM by the Hungarian Scientific Research Fund (No. K101552); JMM by the Circumpolar-Boreal Alberta grants program from the Natural Science and Engineering Research Council of Canada; MP by the EU Project LIFE12 ENV/FI/000409; AMP by a Swiss Research Fellowship (Sciex-NMSch, Project 13.; 272 - OAKAGE); JMS by the American National Science Foundation (Grant 0743498); ABS by the British Columbia Ministry of Forests, Lands and Natural Resource Operations (Canada); DS by the Public Enterprise 'Vojvodinasume' (project Improvement of Lowland Forest Management); MLS by the Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET Grant PIP 11420110100080) and by El Fondo para la Investigacion Cientifica y Tecnologica (FONCyT Grant PICT 2012-2009); RT by the Italian Ministry of Education (University and Research 2008, Ciclo del Carbonio ed altri gas serra in ecosistemi forestali, naturali ed artificiali dell'America Latina: analisi preliminare, studio di fattibilita e comparazione con ecosistemi italiani) and by the EU LIFE+ Project MANFOR C.BD. (Environment Policy and Governance 2009, Managing forests for multiple purposes: carbon, biodiversity and socioeconomic wellbeing); ARW by the Natural Sciences and Engineering Council (NSERC) (Canada) through the University of Winnipeg and by Manitoba Conservation (Canada); and JMV by the Spanish Ministry of Economy and Competitiveness (Grant CGL2013-46808-R). Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government. . - ISSN 1354-1013. - ISSN 1365-2486
РУБ Biodiversity Conservation + Ecology + Environmental Sciences
Рубрики:
DROUGHT-INDUCED MORTALITY
   WESTERN UNITED-STATES

   PINUS-SYLVESTRIS L.

Кл.слова (ненормированные):
angiosperms -- death -- drought -- growth -- gymnosperms -- pathogens -- ring-width -- tree mortality

Аннотация: Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to mortality and the associated changes in tree growth rates are still limited. We compiled a new pan-continental tree-ring width database from sites where both dead and living trees were sampled (2970 dead and 4224 living trees from 190 sites, including 36 species), and compared early and recent growth rates between trees that died and those that survived a given mortality event. We observed a decrease in radial growth before death in ca. 84% of the mortality events. The extent and duration of these reductions were highly variable (1-100 years in 96% of events) due to the complex interactions among study species and the source(s) of mortality. Strong and long-lasting declines were found for gymnosperms, shade-and drought-tolerant species, and trees that died from competition. Angiosperms and trees that died due to biotic attacks (especially bark-beetles) typically showed relatively small and short-term growth reductions. Our analysis did not highlight any universal trade-off between early growth and tree longevity within a species, although this result may also reflect high variability in sampling design among sites. The intersite and interspecific variability in growth patterns before mortality provides valuable information on the nature of the mortality process, which is consistent with our understanding of the physiological mechanisms leading to mortality. Abrupt changes in growth immediately before death can be associated with generalized hydraulic failure and/or bark-beetle attack, while long-term decrease in growth may be associated with a gradual decline in hydraulic performance coupled with depletion in carbon reserves. Our results imply that growth-based mortality algorithms may be a powerful tool for predicting gymnosperm mortality induced by chronic stress, but not necessarily so for angiosperms and in case of intense drought or bark-beetle outbreaks.

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Держатели документа:
ETH, Forest Ecol, Dept Environm Syst Sci, Inst Terr Ecosyst, Univ Str 22, CH-8092 Zurich, Switzerland.
Univ Ulm, Inst Systemat Bot & Ecol, Albert Einstein Allee 11, D-89081 Ulm, Germany.
CREAF, Campus UAB, Cerdanyola Del Valles 08193, Spain.
Vrije Univ Brussel, Lab Plant Biol & Nat Management APNA, Pl Laan 2, B-1050 Brussels, Belgium.
RMCA, Lab Wood Biol & Xylarium, Leuvensesteenweg 13, B-3080 Tervuren, Belgium.
Univ Coimbra, Dept Life Sci, Ctr Funct Ecol, P-3000456 Coimbra, Portugal.
Univ Helsinki, Dept Forest Sci, POB 27 Latokartanonkaari 7, FIN-00014 Helsinki, Finland.
Univ Victoria, Dept Biol, STN CSC, POB 3020, Victoria, BC V8W 3N5, Canada.
Univ Innsbruck, Inst Bot, Sternwartestr 15, A-6020 Innsbruck, Austria.
Univ Milan, Dipartimento Biosci, Via Giovanni Celoria 26, I-20133 Milan, Italy.
Czech Univ Life Sci, Fac Forestry & Wood Sci, Kamycka 961-129, Prague 16521 6, Suchdol, Czech Republic.
CSIC, IPE, Ave Montanana 1005, Zaragoza 50192, Spain.
Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
Univ Clermont Auvergne, INRA, Unite Mixte Rech UMR PIAF 547, F-63100 Clermont Ferrand, France.
Univ Laval, Dept Sci Bois & Foret, Ctr Forest Res, Fac Foresterie Geog & Geomat, 2405 Rue Terrasse, Quebec City, PQ G1V 0A6, Canada.
Univ Ljubljana, Biotech Fac, Jamnikarjeva 101, Ljubljana 1000, Slovenia.
US Geol Survey, Western Ecol Res Ctr, 47050 Generals Highway, Three Rivers, CA 93271 USA.
INRA, Ecol Forest Mediterraneennes URFM, Site Agroparc, F-84914 Avignon 9, France.
Univ Bordeaux, Unite Mixte Rech UMR BIOGECO 1202, INRA, F-33615 Pessac, France.
Ben Gurion Univ Negev, Dept Geog & Environm Dev, IL-84105 Beer Sheva, Israel.
Inst Nacl Invest & Tecnol Agr & Alimentaria INIA, Ctr Invest Forestal CIFOR, Carretera La Coruna Km 7-5, Madrid 28040, Spain.
Tech Univ Dresden, Inst Forest Bot & Forest Zool, D-01062 Dresden, Germany.
TU Berlin, Fachgebiet Vegetat Tech & Pflanzenverwendung, Inst Landschaftsarchitektur & Umweltplanung, D-10623 Berlin, Germany.
Univ Arkansas, Dept Entomol, Fayetteville, AR 72701 USA.
Univ Kansas, Dept Ecol & Evolutionary Biol, 1450 Jayhawk Blvd, Lawrence, KS 66045 USA.
Max Planck Inst Biogeochem, Hans Knoll Str 10, D-07745 Jena, Germany.
CSIC, Dept Biogeog & Global Change, Natl Museum Nat Hist MNCN, C Serrano 115Bis, Madrid 28006, Spain.
Desert Bot Garden, Dept Res Conservat & Collect, 1201 N Galvin Pkwy, Phoenix, AZ USA.
Humboldt State Univ, Dept Forestry & Wildland Resources, 1 Harpst St, Arcata, CA 95521 USA.
Russian Acad Sci, Siberian Div, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Univ Nacl Comahue, Dept Ecol, Quintral S-N, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
Consejo Nacl Invest Cient & Tecn, Inst Invest Biodiversidad & Medio Ambiente INIBOM, Quintral 1250, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
ARO, Volcani Ctr, Inst Soil Water & Environm Sci, POB 6, IL-50250 Bet Dagan, Israel.
Wageningen Univ, Alterra Green World Res, Droevendaalse Steeg 1, NL-6700 AA Wageningen, Netherlands.
Leiden Univ, Nat Biodivers Ctr, POB 9517, NL-2300 RA Leiden, Netherlands.
Slovenian Forestry Inst, Dept Yield & Silviculture, Vecna Pot 2, Ljubljana 1000, Slovenia.
Pablo de Olavide Univ, Dept Phys Chem & Nat Syst, Carretera Utrera Km 1, Seville 41013, Spain.
Univ Autonoma Barcelona, Cerdanyola Del Valles 08193, Spain.
Univ Lisbon, Forest Res Ctr, Sch Agr, P-1349017 Lisbon, Portugal.
Mediterranean Univ Reggio Calabria, Dept Agr Sci, I-89060 Reggio Di Calabria, Italy.
Tech Univ Madrid, Forest Genet & Physiol Res Grp, Calle Ramiro de Maeztu 7, Madrid 28040, Spain.
Univ Western Sydney, Hawkesbury Inst Environm, Sci Rd, Richmond, NSW 2753, Australia.
Nat Resources Inst Finland Luke, Viikinkaari 4, Helsinki 00790, Finland.
Univ Debrecen, Dept Bot, Fac Sci & Technol, Egyet Ter 1, H-4032 Debrecen, Hungary.
Nat Resources Canada, Northern Forestry Ctr, Canadian Forest Serv, 5320-122nd St, Edmonton, AB T6H 3S5, Canada.
Technol Educ Inst TEI Stereas Elladas, Dept Forestry & Nat Environm Management, Ag Georgiou 1, Karpenissi 36100, Greece.
Nat Resources Inst Finland Luke, POB 18 Jokiniemenkuja 1, Vantaa 01301, Finland.
Natl Inst Res Dev Forestry Marin Dracea, Eroilor 128, Voluntari 077190, Romania.
Open Univ Cyprus, Fac Pure & Appl Sci, CY-2252 Nicosia, Cyprus.
Univ Cyprus, Dept Biol Sci, POB 20537, CY-1678 Nicosia, Cyprus.
Univ Patras, Dept Biol, Div Plant Biol, Patras 26500, Greece.
Univ Colorado, Dept Geog, Boulder, CO 80309 USA.
No Arizona Univ, Dept Geog Planning & Recreat, POB 15016, Flagstaff, AZ 86011 USA.
Wageningen Univ, Forest Ecol & Forest Management Grp, Droevendaalsesteeg 3a, NL-6708 PB Wageningen, Netherlands.
Univ Novi Sad, Inst Lowland Forestry & Environm, Antona Cehova 13,POB 117, Novi Sad 21000, Serbia.
Univ Molise, Dipartimenti Biosci & Terr, I-86090 C Da Fonte Lappone, Pesche, Italy.
Project Ctr Mt Forests MOUNTFOR, EFI, Via E Mach 1, I-38010 San Michele All Adige, Italy.
CCT CONICET Mendoza, Lab Dendrocronol & Hist Ambiental, Inst Argentino Nivol Glaciol & Ciencias Ambiental, Ave Ruiz Leal S-N,Parque Gen San Martin, RA-5500 Mendoza, Argentina.
Estonian Univ Life Sci, Inst Forestry & Rural Engn, Kreutzwaldi 5, EE-51014 Tartu, Estonia.
Univ Alberta, Boreal Avian Modelling Project, Dept Renewable Resources, 751 Gen Serv Bldg, Edmonton, AB T6G 2H1, Canada.
Univ Minnesota, 600 East 4th St, Morris, MN 56267 USA.
Univ Forestry, Kliment Ohridski St 10, Sofia 1756, Bulgaria.

Доп.точки доступа:
Cailleret, Maxime; Jansen, Steven; Robert, Elisabeth M. R.; Desoto, Lucia; Aakala, Tuomas; Antos, Joseph A.; Beikircher, Barbara; Bigler, Christof; Bugmann, Harald; Caccianiga, Marco; Cada, Vojtech; Camarero, Jesus J.; Cherubini, Paolo; Cochard, Herve; Coyea, Marie R.; Cufar, Katarina; Das, Adrian J.; Davi, Hendrik; Delzon, Sylvain; Dorman, Michael; Gea-Izquierdo, Guillermo; Gillner, Sten; Haavik, Laurel J.; Hartmann, Henrik; Heres, Ana-Maria; Hultine, Kevin R.; Janda, Pavel; Kane, Jeffrey M.; Kharuk, Vyacheslav I.; Kitzberger, Thomas; Klein, Tamir; Kramer, Koen; Lens, Frederic; Levanic, Tom; Calderon, R.; Lloret, Francisco; Lobodo-Vale, Raquel; Lombardi, Fabio; Rodriguez, S.; Makinen, Harri; Mayr, Stefan; Meszaros, Ilona; Metsaranta, Juha M.; Minunno, Francesco; Oberhuber, Walter; Papadopoulos, Andreas; Peltoniemi, Mikko; Petritan, Any M.; Rohner, Brigitte; Sanguesa-Barreda, Gabriel; Sarris, Dimitrios; Smith, Jeremy M.; Stan, Amanda B.; Sterck, Frank; Stojanovic, Dejan B.; Suarez, Maria L.; Svoboda, Miroslav; Tognetti, Roberto; Torres-Ruiz, Jose M.; Trotsiuk, Volodymyr; Villalba, Ricardo; Vodde, Floor; Westwood, Alana R.; Wyckoff, Peter H.; Zafirov, Nikolay; Martinez-Vilalta, Jordi; Torres-Ruiz, Jose Manuel; EU [FP1106, FEDER 0087 TRANSHABITAT, LIFE12 ENV/FI/000409]; Swiss National Science Foundation [140968]; German Research Foundation [JA 2174/3-1]; Research Foundation - Flanders (FWO, Belgium); EU HORIZON Programme through a Marie Sklodowska-Curie IF Fellowship [659191]; Portuguese Fundacao para a Ciencia e a Tecnologia (FCT) [SFRH/BPD/70632/2010, SFRH/BPD/86938/2012]; Academy of Finland [252629, 276255, 257641, 265504]; British Columbia Forest Science Program; Forest Renewal BC (Canada); Austrian Science Fund (FWF) [T667-B16, FWF P25643-B16]; Czech Ministry of Education (MSMT) [LD13064, LD14074]; Spanish Ministry of Economy [CGL2015-69186-C21-R, CGL2013-48843-C2-2-R, CGL2012-32965]; Natural Sciences and Engineering Research Council of Canada (NSERC); Service de la protection contre les insectes et les maladies du ministere des forets du Quebec (Canada); Slovenian Research Agency (ARRS) Program [P4-0015]; United States Geological Survey (USGS); French National Research Agency (ANR) [ANR-06VULN-004]; Metaprogram Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA); Jewish National Fund (Israel); Spanish Ministry of Economy and Competitiveness [AGL2014-61175-JIN, CGL2013-46808-R]; Bundesministerium fur Bildung und Forschung (BMBF) through the Project REGKLAM (Germany) [01 LR 0802]; Arkansas Agricultural Experiment Station (United States of America); United States Department of Agriculture - Forest Service; Natural Sciences and Engineering Research Council of Canada; Spanish Ministry of Science and Innovation [CGL2007-60120, CSD2008-0040]; Spanish Ministry of Education via a FPU Scholarship; Russian Science Foundation [14-24-00112]; Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) (Argentina) [PIP 112-201101-00058, PIP 112-2011010-0809]; Weizmann Institute of Science (Israel); Keren Kayemeth LeIsrael (KKL) - Jewish National Fund (JNF) [90-9-608-08]; Sussman Center (Israel); Cathy Wills and Robert Lewis Program in Environmental Science (United Kingdom); France-Israel High Council for Research Scientific and Technological Cooperation [3-6735]; Minerva Foundation (Germany); Israeli Ministry of Agriculture and Rural Development; project 'Resilience of Forests' of the Ministry of Economic Affairs [KB19]; program and research group Forest Ecology, Biology and Technology (Slovenia) [P4-0107]; EU through a Marie Sklodowska-Curie IOF Fellowship [624473]; Sparkling Science of the Federal Ministry of Science, Research and Economy (BMWFW) of Austria; Hungarian Scientific Research Fund [K101552]; Natural Science and Engineering Research Council of Canada; Swiss Research Fellowship [13.272 - OAKAGE]; American National Science Foundation [0743498]; British Columbia Ministry of Forests, Lands and Natural Resource Operations (Canada); Public Enterprise 'Vojvodinasume'; Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) [PIP 11420110100080]; El Fondo para la Investigacion Cientifica y Tecnologica (FONCyT) [PICT 2012-2009]; Italian Ministry of Education (University and Research, Ciclo del Carbonio ed altri gas serra in ecosistemi forestali, naturali ed artificiali dell'America Latina: analisi preliminare, studio di fattibilita e comparazione con ecosistemi italiani); EU LIFE+ Project MANFOR C.BD. (Environment Policy and Governance, Managing forests for multiple purposes: carbon, biodiversity and socioeconomic wellbeing); Natural Sciences and Engineering Council (NSERC) (Canada) through the University of Winnipeg; Manitoba Conservation (Canada)

    Data Descriptor: A global multiproxy database for temperature reconstructions of the Common Era
/ J. Emile-Geay [et al.] // Sci. Data. - 2017. - Vol. 4. - Ст. 170088, DOI 10.1038/sdata.2017.88. - Cited References:314. - PAGES, a core project of Future Earth, is supported by the U.S. and Swiss National Science Foundations. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Some of this work was conducted as part of the North America 2k Working Group supported by the John Wesley Powell Center for Analysis and Synthesis, funded by the U.S. Geological Survey. B. Bauer, W. Gross, and E. Gille (NOAA National Centers for Environmental Information) are gratefully acknowledged for helping assemble the data citations and creating the NCEI versions of the PAGES 2k data records. We thank all the investigators whose commitment to data sharing enables the open science ethos embodied by this project. . - ISSN 2052-4463
РУБ Multidisciplinary Sciences

Аннотация: Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850-2014. Global temperature composites show a remarkable degree of coherence between high-and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python. (TABLE) Since the pioneering work of D'Arrigo and Jacoby1-3, as well as Mann et al. 4,5, temperature reconstructions of the Common Era have become a key component of climate assessments6-9. Such reconstructions depend strongly on the composition of the underlying network of climate proxies10, and it is therefore critical for the climate community to have access to a community-vetted, quality-controlled database of temperature-sensitive records stored in a self-describing format. The Past Global Changes (PAGES) 2k consortium, a self-organized, international group of experts, recently assembled such a database, and used it to reconstruct surface temperature over continental-scale regions11 (hereafter, ` PAGES2k-2013'). This data descriptor presents version 2.0.0 of the PAGES2k proxy temperature database (Data Citation 1). It augments the PAGES2k-2013 collection of terrestrial records with marine records assembled by the Ocean2k working group at centennial12 and annual13 time scales. In addition to these previously published data compilations, this version includes substantially more records, extensive new metadata, and validation. Furthermore, the selection criteria for records included in this version are applied more uniformly and transparently across regions, resulting in a more cohesive data product. This data descriptor describes the contents of the database, the criteria for inclusion, and quantifies the relation of each record with instrumental temperature. In addition, the paleotemperature time series are summarized as composites to highlight the most salient decadal-to centennial-scale behaviour of the dataset and check mutual consistency between paleoclimate archives. We provide extensive Matlab code to probe the database-processing, filtering and aggregating it in various ways to investigate temperature variability over the Common Era. The unique approach to data stewardship and code-sharing employed here is designed to enable an unprecedented scale of investigation of the temperature history of the Common Era, by the scientific community and citizen-scientists alike.

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Держатели документа:
Univ Southern Calif, Dept Earth Sci, Los Angeles, CA 90089 USA.
Univ Southern Calif, Ctr Appl Math Sci, Los Angeles, CA 90089 USA.
Univ Arizona, Sch Earth Sci & Environm Sustainabil, Flagstaff, AZ 86001 USA.
PAGES Int Project Off, CH-3012 Bern, Switzerland.
Mathworks Inc, Natick, MA 01760 USA.
Univ Arizona, Sch Geog & Dev, Tucson, AZ 85721 USA.
Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA.
Australian Natl Univ, Res Sch Earth Sci, Canberra, ACT 2601, Australia.
Australian Natl Univ, ARC Ctr Excellence Climate Syst Sci, Canberra, ACT 2601, Australia.
US Geol Survey, 345 Middlefield Rd, Menlo Pk, CA 94025 USA.
Australian Antarctic Div, Kingston, Tas 7050, Australia.
Univ Tasmania, Antarctic Climate & Ecosyst CRC, Hobart, Tas 7050, Australia.
Univ Maryland, Dept Geol, College Pk, MD 20742 USA.
Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA.
Univ Melbourne, Sch Earth Sci, Melbourne, Vic 3010, Australia.
Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
Spanish Council Sci Res, Inst Environm Assessment & Water Res, Dept Environm Chem, Barcelona 08034, Spain.
Univ Cambridge, Dept Earth Sci, Cambridge CB2 3EQ, England.
Univ Wollongong, Sch Earth & Environm Sci, Wollongong, NSW 2522, Australia.
Univ Bern, Oeschger Ctr Climate Change Res, CH-3012 Bern, Switzerland.
Univ Bern, Inst Geog, CH-3012 Bern, Switzerland.
US Geol Survey, Northern Rocky Mt Sci Ctr, Bozeman, MT 59715 USA.
Ca Foscari Univ Venice, Dept Environm Sci Informat & Stat, I-30170 Venice, Italy.
Univ Texas Austin, Inst Geophys, Jackson Sch Geosci, Austin, TX 78758 USA.
Univ Bergen, Dept Earth Sci, N-5020 Bergen, Norway.
Univ Bergen, Bjerknes Ctr Climate Res, N-5020 Bergen, Norway.
Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
Norwegian Polar Res Inst, Fram Ctr, N-9296 Tromso, Norway.
Univ Tromso, Fac Sci & Technol, Dept Math & Stat, N-9037 Tromso, Norway.
Univ Melbourne, Sch Geog, Melbourne, Vic 3010, Australia.
Univ Melbourne, Sch Earth Sci, Melbourne, Vic 3010, Australia.
Univ Melbourne, Australian Res Council Ctr Excellence Climate Sys, Melbourne, Vic 3010, Australia.
Univ Nacl Cuyo, IANIGLA CONICET, M5502IRA, Mendoza, Argentina.
Univ Nacl Cuyo, Fac Ciencias Exactas & Nat, M5502IRA, Mendoza, Argentina.
Res Inst Humanity & Nat, Kyoto 6038047, Japan.
Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia.
Univ Washington, Quaternary Res Ctr, Seattle, WA 98195 USA.
Univ Washington, Dept Earth & Space Sci, Seattle, WA 98195 USA.
Univ Arizona, Dept Geosci, Tucson, AZ 85721 USA.
Univ Adelaide, Dept Earth Sci, Adelaide, SA 5005, Australia.
Univ Adelaide, Sprigg Geobiol Ctr, Adelaide, SA 5005, Australia.
Univ Melbourne, Sch Ecosyst & Forest Sci, Melbourne, Vic 3121, Australia.
Victoria Univ Wellington, Joint Antarctic Res Inst, Wellington 6012, New Zealand.
GNS Sci, Wellington 6012, New Zealand.
Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland.
Univ Montpellier, Inst Sci Evolut Montpellier, CNRS, UMR 5554, F-34095 Montpellier 5, France.
Natl Taiwan Ocean Univ, Inst Appl Geosci, Keelung 20224, Taiwan.
Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA.
Univ Maine, Climate Change Inst, Orono, ME 04469 USA.
Arctic & Antarctic Res Inst, St Petersburg 199397, Russia.
St Petersburg State Univ, Inst Earth Sci, St Petersburg 199178, Russia.
Northumbria Univ, Dept Geog, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
Lund Univ, Dept Geol, SE-22362 Lund, Sweden.
Inst Natl Rech Sci, Ctr Eau Terre Environm, Quebec City, PQ G1K 9A9, Canada.
ENEA, CR Casaccia, I-00123 Rome, Italy.
Nepal Acad Sci & Technol, Fac Sci, Lalitpur, Nepal.
Tribhuvan Univ, Cent Dept Environm Sci, Kathmandu, Nepal.
Univ Ottawa, Dept Geog Environm & Geomat, Ottawa, ON K1N 6N5, Canada.
Catholic Univ Louvain, Earth & Life Inst, B-1348 Louvain La Neuve, Belgium.
RAS, Urals Branch, Inst Geophys, Ekaterinburg, Russia.
Hirosaki Univ, Grad Sch Sci & Technol, Aomori 0368561, Japan.
Univ Gothenburg, Dept Earth Sci, Fac Sci, SE-40530 Gothenburg, Sweden.
Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361102, Peoples R China.
Xiamen Univ, Dept Geol Oceanog, Xiamen 361102, Peoples R China.
Natl Inst Polar Res, Tachikawa, Tokyo 1908518, Japan.
Dept Polar Sci, Tachikawa, Tokyo 1908518, Japan.
Japan Agcy Marine Earth Sci & Technol, Inst Biogeosci, Yokosuka, Kanagawa 2370061, Japan.
Univ Maryland, Chesapeake Biol Lab, Ctr Environm Sci, Solomons, MD 20688 USA.
Aix Marseille Univ, CNRS, IRD, CEREGE UM34, F-13545 Aix En Provence 4, France.
Univ Gothenburg, Dept Earth Sci, SE-40530 Gothenburg, Sweden.
Natl Inst Water & Atmospher Res, Auckland Cent 1010, New Zealand.
Russian Acad Sci, Inst Geog, Moscow 119017, Russia.
Univ Autonoma Barcelona, Inst Environm Sci & Technol, Bellaterra 08193, Spain.
Univ Autonoma Barcelona, Dept Geog, Bellaterra 08193, Spain.
Natl Inst Polar Res, Res Org Informat & Syst, Midoricho 10-3, Tachikawa, Tokyo, Japan.
British Antarctic Survey, Cambridge CB3 0ET, England.
Eberhard Karls Univ Tubingen, D-72074 Tubingen, Germany.
Univ Brighton, Sch Environm & Technol, Brighton BN2 4GJ, E Sussex, England.
Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, ZA-2050 Johannesburg, South Africa.
Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, D-27515 Bremerhaven, Germany.
Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, D-14473 Potsdam, Germany.
Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Univ Toronto, Dept Geog, Mississauga, ON L5L 1C6, Canada.
SUNY Buffalo, Dept Geol, Buffalo, NY 14260 USA.
Univ Washington, Joint Inst Study Atmosphere & Ocean, Seattle, WA 98105 USA.
Australian Nucl Sci & Technol Org, Lucas Heights, NSW 2234, Australia.
Univ Bern, Oeschger Ctr Climate Change Res, CH-3012 Bern, Switzerland.
Univ Bern, Inst Geog, CH-3012 Bern, Switzerland.
Aarhus Univ, Ctr Climate Studies, DK-8000 Aarhus C, Denmark.
Aarhus Univ, Arctic Res Ctr, Dept Geosci, DK-8000 Aarhus C, Denmark.
Univ Florence, Dept Chem, Sesto Fiorentino, Italy.
Sorbonne Univ, LOCEAN, Case 100, F-75005 Paris, France.
Paul Scherrer Inst, Lab Environm Chem, CH-5232 Villigen, Psi Ost, Switzerland.
Appl Aquat Res Ltd, Calgary, AB T3C 0K3, Canada.
Univ Minnesota, Dept Geog Environm & Soc, Minneapolis, MN 55455 USA.
Univ Regina, Prairie Adaptat Res Collaborat, Regina, SK S4S 0A2, Canada.
Concordia Univ, Geog Planning & Environm, Montreal, PQ H3G 1M8, Canada.
Natl Ctr Antarctic & Ocean Res, Vasco Da Gama 403804, Goa, India.
Univ New South Wales, Sch Biol Earth & Environm Sci, Climate Change Res Ctr, Sydney, NSW 2052, Australia.
Univ Ryukyus, Dept Chem Biol & Marine Sci, Fac Sci, Nishihara, Okinawa 9030213, Japan.
NOAA, Natl Ctr Environm Informat, World Data Serv Paleoclimatol, Boulder, CO 80305 USA.
Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA.
Lehigh Univ, Dept Earth & Environm Sci, Bethlehem, PA 18015 USA.
Dept Environm & Agr, Bentley, WA 6845, Australia.
Australian Inst Marine Sci, Townsville, Qld 4810, Australia.
Free Univ Berlin, Inst Geol Sci, Paleontol, D-12249 Berlin, Germany.

Доп.точки доступа:
Emile-Geay, Julien; McKay, Nicholas P.; Kaufman, Darrell S.; von Gunten, Lucien; Wang, Jianghao; Anchukaitis, Kevin J.; Abram, Nerilie J.; Addison, Jason A.; Curran, Mark A. J.; Evans, Michael N.; Henley, Benjamin J.; Hao, Zhixin; Martrat, Belen; McGregor, Helen V.; Neukom, Raphael; Pederson, Gregory T.; Stenni, Barbara; Thirumalai, Kaustubh; Werner, Johannes P.; Xu, Chenxi; Divine, Dmitry V.; Dixon, Bronwyn C.; Gergis, Joelle; Mundo, Ignacio A.; Nakatsuka, Takeshi; Phipps, Steven J.; Routson, Cody C.; Steig, Eric J.; Tierney, Jessica E.; Tyler, Jonathan J.; Allen, Kathryn J.; Bertler, Nancy A. N.; Bjorklund, Jesper; Chase, Brian M.; Chen, Min-Te; Cook, E.d.; de Jong, Rixt; DeLong, Kristine L.; Dixon, Daniel A.; Ekaykin, Alexey A.; Ersek, Vasile; Filipsson, Helena L.; Francus, Pierre; Freund, Mandy B.; Frezzotti, Massimo; Gaire, Narayan P.; Gajewski, Konrad; Ge, Quansheng; Goosse, Hugues; Gornostaeva, Anastasia; Grosjean, Martin; Horiuchi, Kazuho; Hormes, Anne; Husum, Katrine; Isaksson, Elisabeth; Kandasamy, Selvaraj; Kawamura, Kenji; Kilbourne, K. Halimeda; Koc, Nalan; Leduc, Guillaume; Linderholm, Hans W.; Lorrey, Andrew M.; Mikhalenko, Vladimir; Mortyn, P. Graham; Motoyama, Hideaki; Moy, Andrew D.; Mulvaney, Robert; Munz, Philipp M.; Nash, David J.; Oerter, Hans; Opel, Thomas; Orsi, Anais J.; Ovchinnikov, Dmitriy V.; Porter, Trevor J.; Roop, Heidi A.; Saenger, Casey; Sano, Masaki; Sauchyn, David; Saunders, Krystyna M.; Seidenkrantz, Marit-Solveig; Severi, Mirko; Shao, Xuemei; Sicre, Marie-Alexandrine; Sigl, Michael; Sinclair, Kate; St George, Scott; St Jacques, Jeannine-Marie; Thamban, Meloth; Thapa, Udya Kuwar; Thomas, Elizabeth R.; Turney, Chris; Uemura, Ryu; Viau, Andre E.; Vladimirova, Diana O.; Wahl, Eugene R.; White, James W. C.; Yu, Zicheng; Zinke, Jens; U.S. and Swiss National Science Foundations; John Wesley Powell Center for Analysis and Synthesis - U.S. Geological Survey

    Early-Warning Signals of Individual Tree Mortality Based on Annual Radial Growth
/ M. Cailleret [et al.] // Front. Plant Sci. - 2019. - Vol. 9. - Ст. 1964, DOI 10.3389/fpls.2018.01964. - Cited References:114. - This study generated from the COST Action STReESS (FP1106) financially supported by the EU Framework Programme for Research and Innovation Horizon 2020. We would like to thank Don Falk (University of Arizona) and two reviewers for their valuable comments, all the colleagues for their help while compiling the database, and Louise Filion, Michael Dorman, and Demetrios Sarris for sharing their datasets. MC was funded by the Swiss National Science Foundation (project number 140968). ER was funded by the Research Foundation - Flanders (FWO, Belgium) and got support from the EU Horizon 2020 Programme through a Marie Sklodowska-Curie IF Fellowship (No. 659191). KC was funded by the Slovenian Research Agency (ARRS) Program P4-0015. IM was funded by National Research, Development and Innovation Office, project number NKFI-SNN-125652. AMP was funded by the Ministry of Research and Innovation, CNCS - UEFISCDI, project number PN-III-P1-1.1-TE-2016-1508, within PNCDI III (BIOCARB). GS-B was supported by a Juan de la Cierva-Formacion grant from MINECO (FJCI 2016-30121). DS was funded by the project III 43007 financed by the Ministry of Education and Science of the Republic of Serbia. AW was funded by Canada's Natural Sciences and Engineering Research Council and Manitoba Sustainable Development. JM-V benefited from an ICREA Academia Award. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the United States Government. . - ISSN 1664-462X
РУБ Plant Sciences

Аннотация: Tree mortality is a key driver of forest dynamics and its occurrence is projected to increase in the future due to climate change. Despite recent advances in our understanding of the physiological mechanisms leading to death, we still lack robust indicators of mortality risk that could be applied at the individual tree scale. Here, we build on a previous contribution exploring the differences in growth level between trees that died and survived a given mortality event to assess whether changes in temporal autocorrelation, variance, and synchrony in time-series of annual radial growth data can be used as early warning signals of mortality risk. Taking advantage of a unique global ring-width database of 3065 dead trees and 4389 living trees growing together at 198 sites (belonging to 36 gymnosperm and angiosperm species), we analyzed temporal changes in autocorrelation, variance, and synchrony before tree death (diachronic analysis), and also compared these metrics between trees that died and trees that survived a given mortality event (synchronic analysis). Changes in autocorrelation were a poor indicator of mortality risk. However, we found a gradual increase in inter- annual growth variability and a decrease in growth synchrony in the last similar to 20 years before mortality of gymnosperms, irrespective of the cause of mortality. These changes could be associated with drought-induced alterations in carbon economy and allocation patterns. In angiosperms, we did not find any consistent changes in any metric. Such lack of any signal might be explained by the relatively high capacity of angiosperms to recover after a stress-induced growth decline. Our analysis provides a robust method for estimating early-warning signals of tree mortality based on annual growth data. In addition to the frequently reported decrease in growth rates, an increase in inter-annual growth variability and a decrease in growth synchrony may be powerful predictors of gymnosperm mortality risk, but not necessarily so for angiosperms.

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Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Terr Ecosyst, Forest Ecol, Zurich, Switzerland.
Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland.
Univ Montpelier, EPHE, CNRS, ISEM,IRD, Montpellier, France.
Ulm Univ, Inst Systemat Bot & Ecol, Ulm, Germany.
CREAF Cerdanyola Valles, Catalonia, Spain.
Vrije Univ Brussel, Ecol & Biodivers, Brussels, Belgium.
Royal Museum Cent Africa, Lab Wood Biol & Xylarium, Tervuren, Belgium.
Univ Helsinki, Dept Forest Sci, Helsinki, Finland.
Consejo Nacl Invest Cient & Tecn, CCT Patagonia Norte, San Carlos De Bariloche, Rio Negro, Argentina.
Univ Nacl Rio Negro, Inst Invest Recursos Nat Agroecol & Desarrollo Ru, Sede Andina, San Carlos De Bariloche, Rio Negro, Argentina.
Univ Victoria, Dept Biol, Victoria, BC, Canada.
Univ Milan, Dipartimento Biosci, Milan, Italy.
CSIC, IPE, Zaragoza, Spain.
Univ Laval, Dept Sci Bois & Foret, Ctr Forest Res, Fac Foresterie, Quebec City, PQ, Canada.
Univ Ljubljana, Biotech Fac, Ljubljana, Slovenia.
US Geol Survey, Western Ecol Res Ctr, Sequoia & Kings Canyon Field Stn, Three Rivers, CA USA.
INRA, Ecol Forets Mediterraneennes URFM, Avignon, France.
Ctr Invest Forestal CIFOR, Inst Nacl Invest & Tecnol Agr Alimentaria, Madrid, Spain.
Tech Univ Dresden, Inst Forest Bot & Forest Zool, Dresden, Germany.
US Forest Serv, USDA, Forest Hlth Protect, St Paul, MN USA.
Univ Arkansas, Dept Entomol, Fayetteville, AR 72701 USA.
Max Planck Inst Biogeochem, Dept Biogeochem Proc, Jena, Germany.
Transilvania Univ Brasov, Dept Forest Sci, Brasov, Romania.
BC3, Leioa, Spain.
Desert Bot Garden, Dept Res Conservat & Collect, Phoenix, AZ USA.
Czech Univ Life Sci, Fac Forestry & Wood Sci, Prague, Czech Republic.
Humboldt State Univ, Dept Forestry & Wildland Resources, Arcata, CA 95521 USA.
Russian Acad Sci, Sukachev Inst Forest, Siberian Div, Krasnoyarsk, Russia.
Siberian Fed Univ, Dept Ecol, Krasnoyarsk, Russia.
Univ Nacl Comahue, Dept Ecol, Neuquen, Rio Negro, Argentina.
Consejo Nacl Invest Cient & Tecn, Inst Invest Biodiversidad & Medioambiente, San Carlos De Bariloche, Rio Negro, Argentina.
Weizmann Inst Sci, Dept Plant & Environm Sci, Rehovot, Israel.
Slovenian Forestry Inst, Dept Yield & Silviculture, Ljubljana, Slovenia.
Pablo de Olavide Univ, Dept PhysChem & Nat Syst, Seville, Spain.
Mediterranean Univ Reggio Calabria, Dept Agr Sci, Reggio Di Calabria, Italy.
Nat Resources Inst Finland Luke, Espoo, Finland.
Univ Debrecen, Fac Sci & Technol, Dept Bot, Debrecen, Hungary.
Nat Resources Canada, Northern Forestry Ctr, Canadian Forest Serv, Edmonton, AB, Canada.
Univ Innsbruck, Dept Bot, Innsbruck, Austria.
Technol Educ Inst Stereas Blades, Dept Forestry & Nat Environm Management, Karpenisi, Greece.
Natl Inst Res & Dev Forestry Marin Dracea, Voluntari, Romania.
Univ Valladolid, Dept Ciencias Agroforestales, iuFOR, EiFAB, Soria, Spain.
Univ Colorado, Dept Geog, Boulder, CO 80309 USA.
No Arizona Univ, Dept Geog Planning & Recreat, Flagstaff, AZ USA.
Univ Novi Sad, Inst Lowland Forestry & Environm, Novi Sad, Serbia.
Consejo Nacl Invest Cient & Tecn, Grp Ecol Forestal, INTA EEA Bariloche, San Carlos De Bariloche, Rio Negro, Argentina.
Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Agr Sci, Zurich, Switzerland.
CCT CONICET Mendoza, Inst Argentine Nivol Glaciol & Ciencies Ambiental, Lab Dendrocronal & Hist Ambiental, Mendoza, Argentina.
Univ Alberta, Dept Renewable Resources, Boreal Avian Modelling Project, Edmonton, AB, Canada.
Univ Minnesota, Dept Biol, Morris, MN 56267 USA.
Univ Autonoma Barcelona, Dept Biol Anim Biol Vegetal & Ecol, Cerdanyola Del Valles, Spain.

Доп.точки доступа:
Cailleret, Maxime; Dakos, Vasilis; Jansen, Steven; Robert, Elisabeth M. R.; Aakala, Tuomas; Amoroso, Mariano M.; Antos, Joe A.; Bigler, Christof; Bugmann, Harald; Caccianaga, Marco; Camarero, Jesus-Julio; Cherubini, Paolo; Coyea, Marie R.; Cufar, Katarina; Das, Adrian J.; Davi, Hendrik; Gea-Izquierdo, Guillermo; Gillner, Sten; Haavik, Laurel J.; Hartmann, Henrik; Heres, Ana-Maria; Hultine, Kevin R.; Janda, Pavel; Kane, Jeffrey M.; Kharuk, Viachelsav, I; Kitzberger, Thomas; Klein, Tamir; Levanic, Tom; Linares, Juan-Carlos; Lombardi, Fabio; Makinen, Harri; Meszaros, Ilona; Metsaranta, Juha M.; Oberhuber, Walter; Papadopoulos, Andreas; Petritan, Any Mary; Rohner, Brigitte; Sanguesa-Barreda, Gabriel; Smith, Jeremy M.; Stan, Amanda B.; Stojanovic, Dejan B.; Suarez, Maria-Laura; Svoboda, Miroslav; Trotsiuk, Volodymyr; Villalba, Ricardo; Westwood, Alana R.; Wyckoff, Peter H.; Martinez-Vilalta, Jordi; EU Framework Programme for Research and Innovation Horizon 2020 [FP1106]; Swiss National Science Foundation [140968]; Research Foundation - Flanders (FWO, Belgium); EU Horizon 2020 Programme through a Marie Sklodowska-Curie IF Fellowship [659191]; Slovenian Research Agency (ARRS) [P4-0015]; National Research, Development and Innovation Office [NKFI-SNN-125652]; Ministry of Research and Innovation, CNCS - UEFISCDI, within PNCDI III (BIOCARB) [PN-III-P1-1.1-TE-2016-1508]; Juan de la Cierva-Formacion grant from MINECO [FJCI 2016-30121]; Ministry of Education and Science of the Republic of Serbia [III 43007]; Canada's Natural Sciences and Engineering Research Council; Manitoba Sustainable Development; ICREA Academia Award

    Influence of Stand Density on Crown Formation and Growth along the Diameter of Scots Pine (Pinus sylvestris L.)
/ V. V. Ivanov, A. N. Borisov, A. E. Petrenko // Lesnoy Zh. - 2019. - Is. 3. - С. 9-16, DOI 10.17238/issn0536-1036.2019.3.9. - Cited References:15. - The research was carried out within the framework of fundamental scientific research programs of the Russian Academy of Sciences no. 0356-2016-0706. State Registration (TsITIS) no. AAAA-A17-117101940014-9 "Theoretical Foundations for the Ecological and Resource Potential Conservation of Siberian Forests in the Conditions of Increasing Anthropogenic Pressure and Climatic Anomalies". . - ISSN 0536-1036
РУБ Forestry

Кл.слова (ненормированные):
crown projection area -- tree canopy -- tree stand -- available resource -- productivity -- radial increment

Аннотация: Crown size determines tree's life space formation, its growth and development. The research object was a middle-aged pine stand spatially included in the Krasnoyarsk island forest-steppe. The permanent trial plot of 0.15 ha size with over 300 trees was established in high-yield green moss pine forest. Each tree on the plot was mapped and assigned with an individual number; its diameter at breast height was measured. A large-scale survey of the trial plot with resolution of 25 cm was acquired using the unmanned aerial vehicle (UAV). The trial plot identification on the image and its matching with the land-based mapping data were performed in ArcMap. In this program crowns of all trees are outlined and areas of their projections are calculated using GIS-technology methods. The data analysis showed a close correlation between crown projection contours and areas and the field data. Dominance area (S) was used as an available resource valuation for a tree in the competition conditions in a forest stand. Dominance area is defined as an area, where each individual tree has dominating influence in space around it and obtains light and soil resource in assumption that this influence is directly proportional to sample size and inverse to squared distance to it. It was found that crowns of rare and medium density with projection area (S-KP) of 2...6 m(2) are formed in case of a low dominance area (less than 6 m(2)). Crowns with S of 6...12 m(2) have high density and projection area up to 10 m(2) and length more than 40 % of tree height. The dynamics of tree radial increment after thinning at the age of 37 was studied depending on the dominance area increase. During 4 years after thinning, annual radial increment increases up to 2 times with increase of available resource. Regression analysis has shown strong correlation between crown projection area and dominance area with a correlation coefficient R = 0.84. Use of UAV is a promising, low-cost and effective technique of distance studying the tree stand structure. Office analysis of images allows to obtain crown projection area characteristics. These data can be used in improvement thinning and forming of even-aged pine stand canopy, which provide the maximum use of light and soil resource and effective ecological forest functioning.

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Держатели документа:
Russian Acad Sci, VN Sukachev Inst Forest SB RAS, Fed Res Ctr, Agr,Krasnoyarsk Sci Ctr,Siberian Branch, Akademgorodok 50,Stroyeniye 28, Krasnoyarsk 660036, Russia.
Russian Acad Sci, VN Sukachev Inst Forest SB RAS, Fed Res Ctr, Engn,Krasnoyarsk Sci Ctr,Siberian Branch, Akademgorodok 50,Stroyeniye 28, Krasnoyarsk 660036, Russia.
Russian Acad Sci, VN Sukachev Inst Forest SB RAS, Fed Res Ctr, Biol,Krasnoyarsk Sci Ctr,Siberian Branch, Akademgorodok 50,Stroyeniye 28, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Ivanov, V. V.; Borisov, A. N.; Petrenko, A. E.; Russian Academy of Sciences [0356-2016-0706]; [AAAA-A17-117101940014-9]
630*181.62
В 58

    ВЛИЯНИЕ ГУСТОТЫ ДРЕВОСТОЯ НА ФОРМИРОВАНИЕ КРОНЫ И РОСТ ПО ДИАМЕТРУ СОСНЫ ОБЫКНОВЕННОЙ (PINUS SYLVESTRIS L.)
[Текст] : статья / В. В. Иванов, А. Н. Борисов, А. Е. Петренко // Известия высших учебных заведений. Лесной журнал. - 2019. - № 3. - С. 9-16, DOI 10.17238/issn0536-1036.2019.3.9 . - ISSN 0536-1036
   Перевод заглавия: Influence of Stand Density on Crown Formation and Growth along the Diameter of Scots Pine (Pinus sylvestris L.)
УДК

Аннотация: Размер короны определяет, каким образом формируется жизненное пространство дерева, его рост и развитие. Объектом исследования является средневозрастное насаждение соснового бора, территориально входящего в Красноярскую островную лесостепь. На постоянной пробной площади, заложенной в лесотаксационном выделе сосняка зеленомошного I класса бонитета площадь - 0,15 га, число деревьев - более 300 шт.), выполнено картирование деревьев, проведены сплошной перечет и нумерация деревьев. Крупномасштабная съемка пробной площади была осуществлена с помощью беспилотного летательного аппарата и обеспечила разрешение на местности 25 см. Идентификация пробной площади на снимке и совмещение с ним данных наземного картирования выполнено в программе ArcMap. В этой же программе методами GIS-технологий оконтурены кроны всех деревьев и вычислены площади их проекций. Анализ показал хорошее соответствие контуров и площадей проекций крон на снимках натурным данным. В качестве оценки доступного ресурса для дерева в условиях конкуренции в древостое использовалась площадь области доминирования. Установлено, что при площади области доминирования менее 6 м<sup>2</sup> формируются кроны редкой и средней густоты, имеющие площадь проекции 2…6 м<sup>2</sup>, от 6 до 12 м<sup>2</sup> - густая крона с площадью проекции до 10 м<sup>2</sup> и протяженностью более 40 % от высоты дерева. Изучена динамика радиального прироста деревьев после рубки в возрасте 37 лет в зависимости от увеличения площади области доминирования. В течение 4 лет после рубки годичный прирост по диаметру возрастает до 2 раз с повышением величины доступного ресурса. Регрессионный анализ показал наличие тесной связи между площадью проекции крон и площадью области доминирования с коэффициентом корреляции <i>R</i> = 0,84. Использование беспилотного летательного аппарата является перспективным, малозатратным и эффективным методом дистанционного изучения структуры древостоев. Камеральная обработка фотосъемки позволяет получать характеристики площадей проекции крон. Эти данные могут быть применены при назначении рубок ухода и формировании древесного полога одновозрастных сосновых древостоев, обеспечивающих максимальное использование почвенно-светового ресурса и эффективное выполнение экологических функций лесов.
Crown size determines tree’s life space formation, its growth and development. The research object was a middle-aged pine stand spatially included in the Krasnoyarsk island forest-steppe. The permanent trial plot of 0.15 ha size with over 300 trees was established in high-yield green moss pine forest. Each tree on the plot was mapped and assigned with an individual number; its diameter at breast height was measured. A large-scale survey of the trial plot with resolution of 25 cm was acquired using the unmanned aerial vehicle (UAV). The trial plot identification on the image and its matching with the land-based mapping data were performed in ArcMap. In this program crowns of all trees are outlined and areas of their projections are calculated using GIS-technology methods. The data analysis showed a close correlation between crown projection contours and areas and the field data. Dominance area (<i>SОД</i>) was used as an available resource valuation for a tree in the competition conditions in a forest stand. Dominance area is defined as an area, where each individual tree has dominating influence in space around it and obtains light and soil resource in assumption that this influence is directly proportional to sample size and inverse to squared distance to it. It was found that crowns of rare and medium density with projection area (<i>S кр</i>)of 2…6 m<sup>2</sup> are formed in case of a low dominance area (less than 6 m<sup>2</sup>). Crowns with <i>SОД</i> of6…12 m<sup>2</sup> have high density and projection area up to 10 m<sup>2</sup> and length more than 40 % of tree height. The dynamics of tree radial increment after thinning at the age of 37 was studieddepending on the dominance area increase. During 4 years after thinning, annual radial increment increases up to 2 times with increase of available resource. Regression analysis has shown strong correlation between crown projection area and dominance area with a correlation coefficient <i>R</i> = 0.84. Use of UAV is a promising, low-cost and effective technique of distance studying the tree stand structure. Office analysis of images allows toobtain crown projection area characteristics. These data can be used in improvement thin-ning and forming of even-aged pine stand canopy, which provide the maximum use of light and soil resource and effective ecological forest functioning.

РИНЦ

Держатели документа:
Институт леса им. В.Н. Сукачева СО РАН
Федеральный исследовательский центр «Красноярский научный центр СО РАН»

Доп.точки доступа:
Иванов, Виктор Васильевич; Ivanov Viktor Vasil'yevich; Борисов, Александр Николаевич; Borisov Alexandr Nikolayevich; Петренко, Алексей Евгеньевич; Petrenko, Aleksey Evgen'yevich

    Past distribution of tilia-feeding phyllonorycter micromoth (Lepidoptera: Gracillariidae) in the Russian far east based on survey of historical herbarium
/ N. I. Kirichenko [et al.] // Far East. Entomol. - 2019. - Vol. 390. - P19-32, DOI 10.25221/fee.390.3 . - ISSN 1026-051X

Кл.слова (ненормированные):
Biogeography -- Distribution range -- Herbarium -- Leafminer -- Lime trees -- New records -- Russian Far East

Аннотация: Distribution data of Tilia-feeding Phyllonorycter in the Russian Far East have been retrieved from a century-old Tilia herbarium stored in Vladivostok. Overall, 280 typical mines of Phyllonorycter, some with larvae and pupae, were found on 61 out of 799 herbarized specimens of Tilia spp. collected in Khabarovskii krai and Primorskii krai. For the first time, the presence of Tilia-feeding Phyllonorycter has been documented in Amurskaya oblast and Jewish Autonomous oblast. High densities of the leafminer have been recorded on Tilia amurensis sampled in Khabarovskii krai and Primorskii krai between 1937 and 2005 suggesting a population dynamics with recurrent outbreaks. Our results confirm the importance of historical herbarium collections in studying trophic interactions and invasion ecology of folivore organisms. © 2019 Institute of Biology and Soil Science, Far East Branch of Russian Academy of Sciences.

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Держатели документа:
Sukachev Institute of Forest SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Akademgorodok, 50/28, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Svobodny Prospect, 79, Krasnoyarsk, 660041, Russian Federation
All-Russian Plant Quarantine Center, Krasnoyarsk branch, Maerchaka str., 31a, Krasnoyarsk, 660075, Russian Federation
Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far East Branch of the Russian Academy of Sciences, Vladivostok, 690022, Russian Federation
Far Eastern Federal University, bld. L, Russky Island, Vladivostok, 690922, Russian Federation
INRA, UR0633 Zoologie Forestiere, Orleans, F-45075, France
Institut de Recherche sur la Biologie de l'Insecte (IRBI), UMR 7261, CNRS/Universite de Tours, UFR Sciences et Techniques, Tours, 37200, France

Доп.точки доступа:
Kirichenko, N. I.; Akulov, E. N.; Babichev, N. S.; Mikhailova, I. A.; Ponomarenko, M. G.; Lopez-Vaamonde, C.

    Assessment of the dynamics of biodiversity of green spaces of Krasnoyarsk city
/ O. S. Artemiev, A. A. Vais, E. A. Vyazmina [et al.] // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2020. - Vol. 421: 2nd International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH-II 2019 (13 November 2019 through 14 November 2019, ) Conference code: 156846, Is. 8. - Ст. 082003, DOI 10.1088/1755-1315/421/8/082003 . -
Аннотация: In large Russian cities there is a significant decrease in urban plantations, which negatively affects the environmental situation. In recent years, there has been a growing scientific interest in assessing biodiversity of green spaces. As a result, the analysis of the dynamics of the number of trees and shrubs in urban areas is a very relevant and practical issue. The work is based on research results for 28 years. The object of research was the green space of the city of Krasnoyarsk. An analysis of the assortment of intra-quarter plantations and a survey of the territory of the quarters showed that mainly the decrease in the number of trees and shrubs was caused not by negative environmental factors, but by the point development of the territory. As a result, it can be stated that the dynamics of green plant biodiversity in the urban environment is caused by a number of processes that can be either negative (reducing plant resistance, decreasing area) or positive (increasing the assortment of plants, improving the quality of care for green spaces). © Published under licence by IOP Publishing Ltd.

Scopus

Держатели документа:
Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation
Krasnoyarsk State Agrarian University, Mira ave., 90, Krasnoyarsk, 660049, Russian Federation
Sukachev Institute of Forest SB RAS, Federal Research Center krasnoyarsk Science Center SB RAS, No.50, p.28, Krasnoyarsk, Akademgorodok, 660036, Russian Federation

Доп.точки доступа:
Artemiev, O. S.; Vais, A. A.; Vyazmina, E. A.; Varaksin, G. S.; Nezamov, V. I.

    Assessment of key habitats of suburban forests in Krasnoyarsk
/ A. A. Vais, G. S. Varaksin, V. I. Nezamov [et al.] // IOP Conference Series: Earth and Environmental Science : IOP Publishing Ltd, 2020. - Vol. 548: 3rd International Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH-III 2020 (18 June 2020 through 20 June 2020, ) Conference code: 162670, Is. 7. - Ст. 072008, DOI 10.1088/1755-1315/548/7/072008 . -

Кл.слова (ненормированные):
Biodiversity -- Biotechnology -- Conservation -- Forestry -- Animal species -- Anthropogenic impacts -- Ecosystem components -- Forestry areas -- Protective measures -- Ecosystems

Аннотация: Biodiversity is closely linked to common environmental and conservation issues of rare plant and animal species. Key habitats contribute to solving the limited tasks of preserving local (small) areas. Moreover, these areas are important for the conservation of ecosystem components, rare, vulnerable, endemic, relict and Red Book species. A survey of key habitats was carried out in a number of neighborhoods of the suburban forests of the city of Krasnoyarsk. In this article, key habitats were assessed according to three criteria: age, marketability, and anthropogenic impact. It was established that the key habitats allocated in the Krasnoyarsk forestry area are in satisfactory condition. To preserve these areas, it is recommended to reduce the anthropogenic load and develop a system of protective measures in order to preserve biodiversity. © Published under licence by IOP Publishing Ltd.

Scopus

Держатели документа:
Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy av., Krasnoyarsk, 660037, Russian Federation
Krasnoyarsk State Agrarian University, 90, Mira av., Krasnoyarsk, 660049, Russian Federation
Sukachev Institute of Forest Sb Ras, Federal Research Center Krasnoyarsk Science Center Sb Ras, 50/28, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Vais, A. A.; Varaksin, G. S.; Nezamov, V. I.; Kolpakova, O. P.; Anuev, E. A.

    Orographic factors as a predictor of the spread of the Siberian silk moth outbreak in the mountainous Southern Taiga forests of Siberia
/ 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.

Scopus

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.

    Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia
/ 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 2073-445X
РУБ 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.

WOS

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

    Assessment of the dynamics of biodiversity of green spaces of Krasnoyarsk city
/ O. S. Artemiev, A. A. Vais, E. A. Vyazmina [et al.] // IOP Conf. Ser. Earth Envir. Sci. : IOP PUBLISHING LTD, 2020. - Vol. 421: 2nd International Scientific Conference on Agribusiness, Environmental (NOV 13-14, 2019, Krasnoyarsk State Agrarian Univ, Krasnoyarsk, RUSSIA). - Ст. 082003. - (IOP Conference Series-Earth and Environmental Science), DOI 10.1088/1755-1315/421/8/082003. - Cited References:10 . -

Аннотация: In large Russian cities there is a significant decrease in urban plantations, which negatively affects the environmental situation. In recent years, there has been a growing scientific interest in assessing biodiversity of green spaces. As a result, the analysis of the dynamics of the number of trees and shrubs in urban areas is a very relevant and practical issue. The work is based on research results for 28 years. The object of research was the green space of the city of Krasnoyarsk. An analysis of the assortment of intra-quarter plantations and a survey of the territory of the quarters showed that mainly the decrease in the number of trees and shrubs was caused not by negative environmental factors, but by the point development of the territory. As a result, it can be stated that the dynamics of green plant biodiversity in the urban environment is caused by a number of processes that can be either negative (reducing plant resistance, decreasing area) or positive (increasing the assortment of plants, improving the quality of care for green spaces).

WOS

Держатели документа:
Reshetnev Siberian State Univ Sci & Technol, 31 Krasnoyarsky Rabochy Ave, Krasnoyarsk 660037, Russia.
Krasnoyarsk State Agr Univ, 90 Mira Ave, Krasnoyarsk 660049, Russia.
Krasnoyarsk Sci Ctr SB RAS, Fed Res Ctr, Sukachev Inst Forest SB RAS, 50,P28 Akad Gorodok, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Artemiev, O. S.; Vais, A. A.; Vyazmina, E. A.; Varaksin, G. S.; Nezamov, V., I

    Assessment of key habitats of suburban forests in Krasnoyarsk
/ A. A. Vais, G. S. Varaksin, V. I. Nezamov [et al.] // IOP Conf. Ser. Earth Envir. Sci. : IOP PUBLISHING LTD, 2020. - Vol. 548: 3rd International Conference on Agribusiness, Environmental Engineering (JUN 18-20, 2020, Krasnoyarsk, RUSSIA). - Ст. 072008. - (IOP Conference Series-Earth and Environmental Science), DOI 10.1088/1755-1315/548/7/072008. - Cited References:14 . -
РУБ Agricultural Engineering + Agriculture, Multidisciplinary + Ecology

Аннотация: Biodiversity is closely linked to common environmental and conservation issues of rare plant and animal species. Key habitats contribute to solving the limited tasks of preserving local (small) areas. Moreover, these areas are important for the conservation of ecosystem components, rare, vulnerable, endemic, relict and Red Book species. A survey of key habitats was carried out in a number of neighborhoods of the suburban forests of the city of Krasnoyarsk. In this article, key habitats were assessed according to three criteria: age, marketability, and anthropogenic impact. It was established that the key habitats allocated in the Krasnoyarsk forestry area are in satisfactory condition. To preserve these areas, it is recommended to reduce the anthropogenic load and develop a system of protective measures in order to preserve biodiversity.

WOS

Держатели документа:
Reshetnev Siberian State Univ Sci & Technol, 31 Krasnoyarsky Rabochy Av, Krasnoyarsk 660037, Russia.
Krasnoyarsk State Agr Univ, 90 Mira Av, Krasnoyarsk 660049, Russia.
Krasnoyarsk Sci Ctr SB RAS, Sukachev Inst Forest SB RAS, Fed Res Ctr, 50-28 Akad Gorodok, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Vais, A. A.; Varaksin, G. S.; Nezamov, V., I; Kolpakova, O. P.; Anuev, E. A.; Anuev, Evgenii

    Seasonality of DOC Export From a Russian Subarctic Catchment Underlain by Discontinuous Permafrost, Highlighted by High-Frequency Monitoring
/ L. Gandois, N. I. Tananaev, A. Prokushkin [et al.] // J. Geophys. Res.-Biogeosci. - 2021. - Vol. 126, Is. 10. - Ст. e2020JG006152, DOI 10.1029/2020JG006152. - Cited References:97. - This research was supported by the "Institut ecologie et environnement" of the French "Centre National de la Recherche Scientifique" (CNRS-INEE) through the PEPS program "Blanc" 2015, the "Institut des Sciences de l.univers" through the EC2CO program, a Marie Curie International Reintegration Grant (TOMCAR-Permafrost #277059) within the 7th European Community Framework Program, the mobility program of INPT, and the CNRS Russian-French cooperation "CAR-WET-SIB." The ERANet-LAC joint program (METHANOBASE ELAC2014_DCC-0092), as well as the Russian Fund for Basic Research, Projects No. 18-05-60240-Arctic (N.T., A.P.) and 18-05-60203 (A.P.) provided additional support. The Siberian Branch of the Russian Academy of Sciences supports the Igarka Geocryology Laboratory through its field research facilities support program. Historical geodetic references, pile heights and gauging station descriptions were provided by Turukhansk hydrometeorological observatory staff, regional division of Roshydromet. The authors thank Anatoly Pimov for great help in the field, Arnaud Mansat for the map for Figure 1, Frederic Julien, Virginie Payre-Suc and Didier Lambrigot for the analysis of DOC and major elements (PAPC platform, EcoLab laboratory), Sergei Titov and Roman Kolosov for the analysis at Sukachev Institute of Forest SB RAS and Christine Hatte (LSCE laboratory) for the 14C analysis of DOC. . - ISSN 2169-8953. - ISSN 2169-8961
РУБ Environmental Sciences + Geosciences, Multidisciplinary

Аннотация: Intense climate change and permafrost degradation impact northern watersheds and ultimately organic carbon transfer from terrestrial to aquatic ecosystems. We investigated the contemporary dissolved organic carbon (DOC) dynamics in a northern catchment underlain by discontinuous permafrost (Graviyka River, northern Siberia), where historical meteorological and hydrological data are available since 1936. Mean annual air temperature (MAAT), in contrast to precipitation and discharge was found to show a significant increasing trend since 1950. Using in situ sensing of fluorescent dissolved organic matter (fDOM), we estimated DOC concentrations at a high temporal frequency (1h) during 3 years (2015-2018), and calculated annual specific fluxes of 5.2-5.5 g C m(2) yr(-1). High DOC concentrations (above 10 mg L-1) are sustained all year, exhibiting nearly chemostatic behavior. Nevertheless, the high-frequency survey of DOC and other water parameters revealed the seasonality of DOC origin and pathways in the watershed. The spring freshet dominates the annual export (up to 80%), but summer and autumn floods can also contribute up to 9% and 8% respectively. The high-frequency sampling was able to capture the specific dynamic of DOC concentration during spring flood (DOC peak preceding discharge, dilution during the spring freshet) and summer and autumn floods (contribution of DOC-rich, low conductivity water). These observations suggest a significant contribution of organic-rich water originating in peatlands, potentially from degrading palsas. The study demonstrates both that high-frequency sampling is essential to capture key events for DOC export, and that more long-term monitoring is urgently needed in these rapidly evolving watersheds.

WOS

Держатели документа:
Univ Toulouse, Lab Ecol Fonct & Environm, CNRS, INPT,UPS, Toulouse, France.
Russian Acad Sci, Melnikov Permafrost Inst, Yakutsk, Russia.
Russian Acad Sci, Sukachev Inst Forest, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Gandois, L.; Tananaev, N., I; Prokushkin, A.; Solnyshkin, I.; Teisserenc, R.; "Institut ecologie et environnement" of the French "Centre National de la Recherche Scientifique" (CNRS-INEE) through the PEPS program "Blanc" 2015; "Institut des Sciences de l.univers" through the EC2CO program, a Marie Curie International Reintegration Grant (TOMCAR-Permafrost) within the 7th European Community Framework Program [277059]; INPT; CNRS Russian-French cooperation "CAR-WET-SIB"; ERANet-LAC joint program [METHANOBASE ELAC2014_DCC-0092]; Russian Fund for Basic ResearchRussian Foundation for Basic Research (RFBR) [18-05-60240, 18-05-60203]; Siberian Branch of the Russian Academy of SciencesRussian Academy of Sciences

    Global maps of soil temperature
/ J. J. Lembrechts, J. van den Hoogen, J. Aalto [et al.] // Glob. Change Biol. - 2022, DOI 10.1111/gcb.16060. - Cited References:107. - JJL received funding from the Research Foundation Flanders (grant nr. 12P1819N). The project received funding from the Research Foundation Flanders (grants nrs, G018919N, W001919N). JVDH and TWC received funding from DOB Ecology. JA received funding from the University of Helsinki, Faculty of Science (MICROCLIM, grant nr. 7510145) and Academy of Finland Flagship (grant no. 337552). PDF, CM and PV received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Starting Grant FORMICA 757833). JK received funding from the Arctic Interactions at the University of Oulu and Academy of Finland (318930, Profi 4), Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet and Societas pro Fauna et Flora Fennica. MK received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). TWC received funding from National Geographic Society grant no. 9480-14 and WW-240R-17. MA received funding from CISSC (program ICRP (grant nr:2397) and INSF (grant nr: 96005914). The Royal Botanic Garden Edinburgh is supported by the Scottish Government's Rural and Environment Science and Analytical Services Division. JMA received funding from the Funding Org. Qatar Petroleum (grant nr. QUEX-CAS-QP-RD-18/19). JMA received funding from the European Union's Horizon 2020 research and innovation program (grant no. 678841) and from the Swiss National Science Foundation (grant no. 31003A_176044). JA was supported by research grants LTAUSA19137 (program INTER-EXCELLENCE, subprogram INTER-ACTION) provided by Czech Ministry of Education, Youth and Sports and 20-05840Y of the Czech Science Foundation. AA was supported by the Ministry of Science and Higher Education of the Russian Federation (grant FSRZ-2020-0014). SN, UAT, JJA, and JvO received funding from the Independent Research Fund Denmark (7027-00133B). LvdB, KT, MYB and RC acknowledge funding from the German Research Foundation within the Priority Program SPP-1803 'EarthShape: Earth Surface Shaping by Biota' (grant TI 338/14-1&2 and BA 3843/6-1). PB was supported by grant project VEGA of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences No. 2/0132/18. Forest Research received funding from the Forestry Commission (climate change research programme). JCB acknowledges the support of Universidad Javeriana. JLBA received funding from the Direccion General de Cambio Climatico del Gobierno de Aragon; JLBA acknowledges fieldwork assistance by Ana Acin, the Ordesa y Monte Perdido National Park, and the Servicio de Medio Ambiente de Soria de la Junta de Castilla y Leon. RGB and MPB received funding from BECC - Biodiversity and Ecosystem services in a Changing Climate. MPB received funding from The European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant Agreement No. 657627 and The Swedish Research Council FORMAS - future research leaders No. 2016-01187. JB received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). NB received funding from the SNF (grant numbers 40FA40_154245, 20FI21_148992, 20FI20_173691, 407340_172433) and from the EU (contract no. 774124). ICOS EU research infrastructure. EU FP7 NitroEurope. EU FP7 ECLAIRE.; The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. This is the study 829 of the BDFFP Technical Series. to The EUCFLUX Cooperative Research Program and Forest Science and Research Institute-IPEF. NC acknowledges funding by Stelvio National Park. JC was funded by the Spanish government grant CGL2016-78093-R. ANID-FONDECYT 1181745 AND INSTITUTO ANTARTICO CHILENO (INACH FR-0418). SC received funding from the German Research Foundation (grant no. DFG- FZT 118, 202548816). The National Science Foundation, Poland (grant no. UMO-2017/27/B/ST10/02228), within the framework of the 'Carbon dioxide uptake potential of sphagnum peatlands in the context of atmospheric optical parameters and climate changes' (KUSCO2) project. SLC received funding from the South African National Research Foundation and the Australian Research Council. FM, M, KU and MU received funding from Slovak Research and Development Agency (no. APVV-19-0319). Instituto Antartico Chileno (INACH_RT-48_16), Iniciativa Cientifica Milenio Nucleo Milenio de Salmonidos Invasores INVASAL, Institute of Ecology and Biodiversity (IEB), CONICYT PIA APOYO CCTE AFB170008. PC is supported by NERC core funding to the BAS 'Biodiversity, Evolution and Adaptation Team. EJC received funding from the Norwegian Research Council (grant number 230970). GND was supported by NERC E3 doctoral training partnership grant (NE/L002558/1) at the University of Edinburgh and the Carnegie Trust for the Universities of Scotland. Monitoring stations on Livingston Island, Antarctica, were funded by different research projects of the Gobern of Spain (PERMAPLANET CTM2009-10165-E; ANTARPERMA CTM2011-15565-E; PERMASNOW CTM2014-52021-R), and the PERMATHERMAL arrangement between the University of Alcala and the Spanish Polar Committee. GN received funding from the Autonomous Province of Bolzano (ITA). The infrastructure, part of the UK Environmental Change Network, was funded historically in part by ScotNature and NERC National Capability LTS-S: UK-SCAPE; NE/R016429/1). JD was supported by the Czech Science Foundation (GA17-19376S) and MSMT (LTAUSA18007). ED received funding from the Kempe Foundation (JCK-1112 and JCK-1822). The infrastructure was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I), grant number LO1415 and by the project for national infrastructure support CzeCOS/ICOS Reg. No. LM2015061. NE received funding from the German Research Foundation (DFG- FZT 118, 202548816). BE received funding from the GLORIA-EU project no EVK2-CT2000-00056, the Autonomous Province of Bolzano (ITA), from the Tiroler Wissenschaftsfonds and from the University of Innsbruck. RME was supported by funding to the SAFE Project from the Sime Darby Foundation. OF received funding from the German Research Foundation (DFG- FZT 118, 202548816). EFP was supported by the Jardin Botanico Atlantico (SV-20-GIJON-JBA). MF was funded by the German Federal Ministry of Education and Research (BMBF) in the context of The Future Okavango (Grant No. 01LL0912) and SASSCAL (01LG1201M; 01LG1201N) projects. EFL received funding from ANID PIA / BASAL FB210006.; RAG received funding from Fondecyt 11170516, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MBG received funding from National Parks (DYNBIO, #1656/2015) and The Spanish Research Agency (VULBIMON, #CGL2017-90040-R). MG received funding from the Swiss National Science Foundation (ICOS-CH Phase 2 20FI20_173691). FG received funding from the German Research Foundation (DFG- FZT 118, 202548816). KG and TS received funding from the UK Biotechnology and Biological Research Council (grant = 206/D16053). SG was supported by the Research Foundation Flanders (FWO) (project G0H1517N). KJ and PH received funding from the EU Horizon2020 INFRAIA project eLTER-PLUS (871128), the project LTER-CWN (FFG, F&E Infrastrukturforderung, project number 858024) and the Austrian Climate Research Program (ACRP7 - CentForCSink - KR14AC7K11960). SH and ARB received funding through iDiv funded by the German Research Foundation (DFG- FZT 118, 202548816). LH received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). MH received funding from the Baden-Wurttemberg Ministry of Science, Research and Arts via the project DRIeR (Drought impacts, processes and resilience: making the in-visible visible). LH received funding from International Polar Year, Weston Foundation, and ArcticNet. DH received funding from Natural Sciences and Engineering Council (Canada) (RGPIN-06691). TTH received funding from Independent Research Fund Denmark (grant no. 8021-00423B) and Villum Foundation (grant no. 17523). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078, VAN2020/01 and CZ.02.1.01/0.0/0.0/16_013/0001708). KH, CG and CJD received funding from Bolin Centre for Climate Research, Stockholm University and from the Swedish research council Formas [grant n:o 2014-00530 to KH]. JJ received funding from the Funding Org. Swedish Forest Society Foundation (grant nr. 2018-485-Steg 2 2017) and Swedish Research Council FORMAS (grant nr. 2018-00792). AJ received funding from the German Federal Ministry of Education and Research BMBF (Grant Nr. FKZ 031B0516C SUSALPS) and the Oberfrankenstiftung (Grant Nr. OFS FP00237). ISJ received funding from the Energy Research Fund (NYR-11 - 2019, NYR-18 - 2020). TJ was supported by a UK NERC Independent Research Fellowship (grant number: NE/S01537X/1). RJ received funding from National Science Centre of Poland (grant number: 2016/21/B/ST10/02271) and Polish National Centre for Research and Development (grant number: Pol-Nor/203258/31/2013). VK received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). AAK received funding from MoEFCC, Govt of India (AICOPTAX project F. No. 22018/12/2015/RE/Tax). NK received funding from FORMAS (grants nr. 2018-01781, 2018-02700, 2019-00836), VR, support from the research infrastructure ICOS-SE. BK received funding from the National Research, Development and Innovation Fund of Hungary (grant nr. K128441). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078 and CZ.02.1.01/0.0/0.0/16_013/0001708). Project B1-RNM-163-UGR-18-Programa Operativo FEDER 2018, partially funded data collection. Norwegian Research Council (NORKLIMA grants #184912 and #244525) awarded to Vigdis Vandvik. MM received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). Project CONICYT-PAI 79170119 and ANID-MPG 190029 awarded to Roy Mackenzie. This work was partly funded by project MIUR PON Cluster OT4CLIMA.; RM received funding from the SNF project number 407340_172433. FM received funding from the Stelvio National Park. PM received funding from AIAS-COFUND fellowship programme supported by the Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration (grant agreement no 609033) and the Aarhus University Research Foundation, Denmark. RM received funding from the Ministry of Education, Youth and Sports of the Czech Republic (project LTT17033). SM and VM received funding from EU FP6 NitroEurope (grant nr. 17841), EU FP7 ECLAIRE (grant nr. 282910), the Ministry of Education and Science of Ukraine (projects nr. 505, 550, 574, 602), GEF-UNEP funded "Toward INMS" project (grant nr. NEC05348) and ENI CBC BSB PONTOS (grant nr. BSB 889). The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. FJRM was financially supported by the Netherlands Organization for Scientific Research (VICI grant 016.VICI.170.072) and Research Foundation Flanders (FWO-SBO grant S000619N). STM received funding from New Frontiers in Research Fund-Exploration (grant nr. NFRF-2018-02043) and NSERC Discovery. MMR received funding from the Australian Research Council Discovery Early Career Research Award (grant nr. DE180100570). JAM received funding from the National Science Foundation (DEB 1557094), International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, ForestGEO, and Tyson Research Center. IM-S was funded by the UK Natural Environment Research Council through the ShrubTundra Project (NE/M016323/1). MBN received funding from FORMAS, VR, Kempe Foundations support from the research infrastructures ICOS and SITES. MDN received funding from CONICET (grant nr. PIP 112-201501-00609). Spanish Ministry of Science grant PID2019-110521GB-I00 and Catalan government grant 2017-1005. French National Research Agency (ANR) in the frame of the Cluster of Excellence COTE (project HydroBeech, ANR-10-LABX-45). VLIR-OUS, under the Institutional University Coorperation programme (IUC) with Mountains of the Moon University. Project LAS III 77/2017/B entitled: \"Estimation of net carbon dioxide fluxes exchanged between the forest ecosystem on post-agricultural land and between the tornado-damaged forest area and the atmosphere using spectroscopic and numerical methods\", source of funding: General Directorate of State Forests, Warsaw, Poland. Max Planck Society (Germany), RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, project number 20-45-242908. Estonian Research Council (PRG609), and the European Regional Development Fund (Centre of Excellence EcolChange). Canada-Denmark Arctic Research Station Early Career Scientist Exchange Program, from Polar knowledge Canada (POLAR) and the Danish Agency for Science and Higher Education. AP received funding from Fondecyt 1180205, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MP received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant nr. 2015.0047), and acknowledges funding from the Swedish Research Council (VR) with contributing research institutes to both the SITES and ICOS Sweden infrastructures.; JP and RO were funded by the Spanish Ministry of Science grant PID2019-110521GB-I00, the fundacion Ramon Areces grant ELEMENTAL-CLIMATE, and the Catalan government grant 2017-1005. MPB received funding from the Svalbard Environmental Protection Fund (grant project number 15/128) and the Research Council of Norway (Arctic Field Grant, project number 269957). RP received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant INTER-TRANSFER nr. LTT20017). LTSER Zone Atelier Alpes; Federation FREE-Alpes. RP received funding from a Humboldt Fellowship for Experienced Researchers. Prokushkin AS and Zyryanov VI contribution has been supported by the RFBR grant #18-05-60203-Arktika. RPu received founding from the Polish National Science Centre (grant project number 2017/27/B/NZ8/00316). ODYSSEE project (ANR-13-ISV7-0004, PN-II-ID-JRP-RO-FR-2012). KR was supported through an Australian Government Research Training Program Scholarship. Fieldwork was supported by the Global Challenges program at the University of Wollongong, the ARC the Australian Antarctic Division and INACH. DR was funded by the project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' (ANR-20-EBI5-0004). SAR received funding from the Australian Research Council. NSF grant #1556772 to the University of Notre Dame. Pavia University (Italy). OR received funding from EU-LEAP-Agri (RAMSES II), EU-DESIRA (CASSECS), EU-H2020 (SustainSahel), AGROPOLIS and TOTAL Foundations (DSCATT), CGIAR (GLDC). AR was supported by the Russian Science Foundation (Grant 18-74-10048). Parc national des Ecrins. JS received funding from Vetenskapsradet grant nr (No: 2014-04270), ALTER-net multi-site grant, River LIFE project (LIFE08 NAT/S/000266), Flexpeil. Helmholtz Association long-term research program TERENO (Terrestrial Environmental Observatories). PS received funding from the Polish Ministry of Science and Higher Education (grant nr. N N305 304840). AS acknowledges funding by ETH Zurich project FEVER ETH-27 19-1. LSC received funding from NSERC Canada Graduate Scholarship (Doctoral) Program; LSC was also supported by ArcticNet-NCE (insert grant #). Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (141513/2017-9); FundacAo Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (E26/200.84/2019). ZS received funding from the SRDA (grants nos. APVV-16-0325 and APVV-20-0365) and from the ERDF (grant no. ITMS 313011S735, CE LignoSilva). JS, MB and CA received funding from core budget of ETH Zurich. State excellence Program M-V \"WETSCAPES\". AfricanBioServices project funded by the EU Horizon 2020 grant number 641918. The authors from KIT/IMK-IFU acknowledge the funding received within the German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association and from the Bavarian Ministry of the Environment and Public Health (UGV06080204000). Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 192626868, in the framework of the collaborative German-Indonesian research project CRC 990 (SFB): 'EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)'. MS received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant nr. INTER-TRANSFER LTT19018).; TT received funding from the Swedish National Space Board (SNSB Dnr 95/16) and the CASSECS project supported by the European Union. HJDT received funding from the UK Natural Environment Research Council (NERC doctoral training partnership grant NE/L002558/1). German Science Foundation (DFG) GraKo 2010 \"Response\". PDT received funding from the MEMOIRE project (PN-III-P1-1.1-PD2016-0925). Arctic Challenge for Sustainability II (ArCS II; JPMXD1420318865). JU received funding from Czech Science Foundation (grant nr. 21-11487S). TU received funding from the Romanian Ministry of Education and Research (CCCDI - UEFISCDI -project PN-III-P2-2.1-PED-2019-4924 and PN2019-2022/19270201-Ctr. 25N BIODIVERS 3-BIOSERV). AV acknowledge funding from RSF, project 21-14-00209. GFV received funding from the Dutch Research Council NWO (Veni grant, no. 863.14.013). Australian Research Council Discovery Early Career Research Award DE140101611. FGAV received funding from the Portuguese Science Foundation (FCT) under CEECIND/02509/2018, CESAM (UIDP/50017/2020+UIDB/50017/2020), FCT/MCTES through national funds, and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. Ordesa y Monte Perdido National Park. MVI received funding from the Spanish Ministry of Science and Innovation through a doctoral grant (FPU17/05869). JW received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). CR and SW received funding from the Swiss Federal Office for the Environment (FOEN) and the de Giacomi foundation. YY received funding from the National Natural Science Foundation of China (Grant no. 41861134039 and 41941015). ZY received funding from the National Natural Science Foundation of China (grant nr. 41877458). FZ received funding from the Swiss National Science Foundation (grant nr. 172198 and 193645). PZ received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant no. 2015.0047). JL received funding from (i) the Agence Nationale de la Recherche (ANR), under the framework of the young investigators (JCJC) funding instrument (ANR JCJC Grant project NoANR-19-CE32-0005-01: IMPRINT) (ii) the Centre National de la Recherche Scientifique (CNRS) (Defi INFINITI 2018: MORFO); and the Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE). Fieldwork in the Arctic got facilitated by funding from the EU INTERACT program. SN, UAT, JJA and JvO would like to thank the field team of the Vegetation Dynamics group for their efforts and hard work. We acknowledge Dominique Tristan for letting access to the field. For the logistic support the crew of INACH and Gabriel de Castilla Station team on Deception Island. We thank the Inuvialuit and Kluane First Nations for the opportunity to work on their land. MAdP acknowledges fieldwork assistance and logistics support to Unidad de Tecnologia Marina CSIC, and the crew of Juan Carlos I and Gabriel de Castilla Spanish Antarctic Stations, as well as to the different colleagues from UAH that helped on the instrument maintenance. ERF acknowledges fieldwork assistance by Martin Heggli. MBG acknowledges fieldwork and technical assistance by P Abadia, C Benede, P Bravo, J Gomez, M Grasa, R Jimenez, H Miranda, B Ponz, J Revilla and P Tejero and the Ordesa and Monte Perdido National Park staff.; LH acknowledges field assistance by John Jacobs, Andrew Trant, Robert Way, Darroch Whitaker; we acknowledge the Inuit of Nunatsiavut, and the Co-management Board of Torngat Mountains National Park for their support of this project and acknowledge that the field research was conducted on their traditional lands. We thank our many bear guides, especially Boonie, Eli, Herman, John and Maria Merkuratsuk. AAK acknowledges field support of Akhtar Malik, Rameez Ahmad. Part of microclimatic records from Saxony was funded by the Saxon Switzerland National Park Administration. Tyson Research Center. JP acknowledges field support of Emmanuel Malet (Edytem) and Rangers of Reserves Naturelles de Haute-Savoie (ASTERS). Practical help: Roel H. Janssen, N. Huig, E. Bakker, Schools in the tepaseforsoket, Forskar fredag, Erik Herberg. The support by the Bavarian Forest National Park administration is highly appreciated. LvdB acknowledges CONAF and onsite support from the park rangers from PN Pan de Azucar, PN La Campana, PN Nahuelbuta and from communidad agricola Quebrada de Talca. JL and FS acknowledge Manuel Nicolas and all forest officers from the Office National des Forets (ONF) who are in charge of the RENECOFOR network and who provided help and local support for the installation and maintenance of temperature loggers in the field. . - Article in press. - ISSN 1354-1013. - ISSN 1365-2486
РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.

WOS

Держатели документа:
Univ Antwerp, Res Grp PLECO Plants & Ecosyst, Antwerp, Belgium.
Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Integrat Biol, Zurich, Switzerland.
Finnish Meteorol Inst, Helsinki, Finland.
Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland.
Univ Wollongong, Ctr Sustainable Ecosyst Solut, Sch Earth Atmospher & Life Sci, Wollongong, NSW, Australia.
Australian Museum, Sydney, NSW, Australia.
Univ Ghent, Dept Environm, Forest & Nat Lab, Melle Gontrode, Belgium.
Univ Oulu, Geog Res Unit, Oulu, Finland.
Czech Acad Sci, Inst Bot, Pruhonice, Czech Republic.
Czech Univ Life Sci Prague, Fac Forestry & Wood Sci, Prague 6, Suchdol, Czech Republic.
Univ Exeter, Environm & Sustainabil Inst, Penryn Campus, Penryn, England.
York St John Univ, Dept Geog, York, N Yorkshire, England.
Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium.
Univ Florida, Sch Nat Resources & Environm, Gainesville, FL USA.
Smithsonian Environm Res Ctr, POB 28, Edgewater, MD 21037 USA.
Univ Florida, Dept Wildlife Ecol & Conservat, Gainesville, FL USA.
Univ South Eastern Norway, Dept Nat Sci & Environm Hlth, Bo, Norway.
Ilia State Univ, Inst Ecol, Alpine Ecosyst Res Program, Tbilisi, Georgia.
Tarbiat Modares Univ, Fac Nat Resources & Marine Sci, Dept Range Management, Noor, Iran.
Vrije Univ Amsterdam, Dept Ecol Sci, Amsterdam, Netherlands.
Royal Bot Garden Edinburgh, Edinburgh, Midlothian, Scotland.
Qatar Univ, Environm Sci Ctr, Doha, Qatar.
Univ Antwerp, Res Grp ECOBE, Antwerp, Belgium.
Agroscope Res Inst, Dept Agroecol & Environm, Zurich, Switzerland.
Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland.
UK Ctr Ecol & Hydrol, Penicuik, Midlothian, Scotland.
Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden.
Joint Res Ctr JRC, European Commiss, Ispra, Italy.
Siberian Fed Univ, Krasnoyarsk, Russia.
Univ Nacl Cuyo, Fac Ciencias Exactas & Nat, Mendoza, Argentina.
CCT Mendoza, Inst Argentino Nivol Glaciol & Ciencias Ambiental, CONICET, Mendoza, Argentina.
Univ Oslo, Nat Hist Museum, Oslo, Norway.
Aarhus Univ, Ctr Sustainable Landscapes Global Change, Dept Biol, Aarhus C, Denmark.
Aarhus Univ, Ctr Biodivers Dynam Changing World, Dept Biol, Aarhus C, Denmark.
Univ Marburg, Fac Geog, Ecol Plant Geog, Marburg, Germany.
Slovak Acad Sci, Inst Landscape Ecol, Bratislava, Slovakia.
Agr Univ Iceland, Fac Environm & Forest Sci, Reykjavik, Iceland.
Univ Ghent, Isotope Biosci Lab ISOFYS, Ghent, Belgium.
Univ Rennes, CNRS, EcoBio Ecosyst Biodiversite Evolut UMR 6553, Rennes, France.
Fdn Edmund Mach, Dept Sustainable Agroecosyst & Bioresources, Res & Innovat Ctr, San Michele All Adige, Italy.
Alice Holt Lodge, Forest Res, Farnham, Surrey, England.
Pontificia Univ Javeriana, Dept Ecol, Bogota, Colombia.
Jolube Consultor Bot, Jaca, Huesca, Spain.
Univ Hohenheim, Inst Landscape & Plant Ecol, Dept Plant Ecol, Stuttgart, Germany.
Univ Bayreuth, BayCEER, Disturbance Ecol, Bayreuth, Germany.
Norwegian Inst Nat Res, FRAM High North Res Ctr Climate & Environm, Tromso, Norway.
Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden.
Gothenburg Global Biodivers Ctr, Gothenburg, Sweden.
Univ Gothenburg, Dept Biol & Environm Sci, Gothenburg, Sweden.
Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.
Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Telegrafenberg A45, Potsdam, Germany.
Humboldt Univ, Geog Dept, Berlin, Germany.
Inst Nacl de Pesquisas da Amazonia, Posgrad Ciencias Florestas Tropicais, Manaus, Amazonas, Brazil.
Univ Paris Saclay, AgroParisTech, UMR ECOSYS INRAE, Paris, France.
Inst Nacl de Pesquisas da Amazonia, BDFFP, Biol Dynam Forest Fragments Project, Manaus, Amazonas, Brazil.
Univ Fed Lavras, Dept Forest Sci, Lavras, Brazil.
Ordu Univ, Fac Arts & Sci, Dept Mol Biol & Genet, Ordu, Turkey.
Univ Tubingen, Dept Evolut & Ecol, Plant Ecol Grp, Tubingen, Germany.
Insubria Univ, Dept Sci & High Technol, Como, Italy.
Univ Parma, Dept Chem Life Sci & Environm Sustainabil, Parma, Italy.
Univ Barcelona, Biodivers Res Inst IRBio, Dept Evolutionary Biol Ecol & Environm Sci, Barcelona, Spain.
CREAF, E-08193 Bellaterra, Cerdanyola Del, Spain.
Univ Catolica Temuco, Lab Ecofisiol Vegetal & Cambio Climat, Dept Ciencias Vet & Salud Publ, Campus Luis Rivas del Canto, Temuco, Chile.
Univ Catolica Temuco, Fac Recursos Nat, Nucleo Estudios Ambientales NEA, Temuco, Chile.
German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany.
Univ Leipzig, Inst Biol, Leipzig, Germany.
Poznan Univ Life Sci, Dept Ecol & Environm Protect, Lab Bioclimatol, Poznan, Poland.
Univ Grenoble Alpes, Univ Savoie Mt Blanc, LECA, CNRS, Grenoble, France.
Univ Grenoble Alpes, Univ Savoie Mt Blanc, LTSER Zone Atelier Alpes, CNRS, Grenoble, France.
Monash Univ, Sch Biol Sci, Securing Antarct Environm Future, Melbourne, Vic, Australia.
Univ Cambridge, Dept Plant Sci, Forest Ecol & Conservat Grp, Cambridge, England.
Tech Univ Zvolen, Fac Ecol & Environm Sci, Zvolen, Slovakia.
Univ Austral Chile, Millennium Inst Biodivers Antarctic & Subantarct, Valdivia, Chile.
Cape Horn Int Ctr CHIC, Puerto Williams, Chile.
NERC, British Antarctic Survey, Cambridge, England.
UiT Arctic Univ Norway, Fac Biosci Fisheries & Econ, Dept Arctic & Marine Biol, Tromso, Norway.
Environm Protect Agcy Aosta Valley, Climate Change Unit, St Christophe, Italy.
Univ Notre Dame, Dept Biol Sci, Notre Dame, IN 46556 USA.
Univ Roma Tre, Dept Sci, Rome, Italy.
Stockholm Univ, Dept Ecol Environm & Plant Sci, Stockholm, Sweden.
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden.
Cty Adm Board Vastra Gotaland, Gothenburg, Sweden.
Univ Edinburgh, Sch GeoSci, Edinburgh, Midlothian, Scotland.
Univ Alcala De Henares, Dept Geol Geog & Environm, Madrid, Spain.
Tech Univ Dresden, Chair Geoinformat, Dresden, Germany.
ZHAW Zurich Univ Appl Sci, Inst Nat Resource Sci IUNR, Vegetat Ecol, Wadenswil, Switzerland.
Univ Bayreuth, Bayreuth Ctr Ecol & Environm Res BayCEER, Plant Ecol, Bayreuth, Germany.
VITO TAP, Mol, Belgium.
Swiss Fed Res Inst WSL, Birmensdorf, Switzerland.
Majella Natl Pk, Majella Seed Bank, Colle Madonna, Lama Dei Pelign, Italy.
Univ Aquila, Dept Life Hlth & Environm Sci, Laquila, Italy.
IFAB INTA CONICET, Grp Ecol Poblac Insectos, San Carlos De Bariloche, Rio Negro, Argentina.
Univ Houston, Dept Biol & Biochem, Houston, TX USA.
Univ South Bohemia, Fac Sci, Dept Bot, Ceske Budejovice, Czech Republic.
Umea Univ, Climate Impacts Res Ctr, Dept Ecol & Environm Sci, Abisko, Sweden.
Acad Sci Czech Republ, Global Change Res Inst, Prague, Czech Republic.
Univ Western Australia, Sch Biol Sci, Crawley, WA, Australia.
Kings Pk Sci, Dept Biodivers Conservat & Attract, Kings Pk, Australia.
Univ Innsbruck, Fac Biol, Dept Bot, Innsbruck, Austria.
Imperial Coll London, Ascot, Berks, England.
Operat Wallacea, Lincoln, Lincs, England.
Bordeaux Sci Agro, INRAE, UMR 1391 ISPA, Villenave Dornon, France.
Univ Cagliari, Dept Life & Environm Sci, Cagliari, Italy.
Univ Granada, Dept Bot, Granada, Spain.
Univ Oviedo, IMIB Biodivers Res Inst, Mieres, Spain.
Univ Hamburg, Inst Plant Sci & Microbiol, Hamburg, Germany.
Dartmouth Coll, Hanover, NH 03755 USA.
Univ Cambridge, Dept Plant Sci, Ecosyst & Global Change Grp, Cambridge, England.
WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland.
Climate Change Extremes & Nat Hazards Alpine Reg, Davos, Switzerland.
Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland.
Univ Concepcion, Fac Ciencias Forestales, Lab Invas Biol LIB, Concepcion, Chile.
Adventist Univ Chile, Sch Educ & Social Sci, Chillan, Chile.
Inst Ecol & Biodiversidad IEB, Santiago, Chile.
Pyrenean Inst Ecol CSIC, Zaragoza, Spain.
Univ Liege, TERRA Res Ctr, Biodivers & Landscape, Gembloux Agrobio Tech, Gembloux, Belgium.
Mediterranean Agron Inst Chania, Dept Geoinformat Environm Management, Khania, Greece.
Georgian Inst Publ Affairs, Dept Environm Management & Policy, Tbilisi, Georgia.
Flemish Inst Technol Res, Mol, Belgium.
KULeuven, Dept Earth & Environm Sci, Fac BioSci Engn, Leuven, Belgium.
Max Planck Inst Biogeochem, Dept Biogeochem Signals, Jena, Germany.
Rothamsted Res, Sustainable Agr Sci Dept, Harpenden, Herts, England.
Norwegian Univ Sci & Technol, Dept Biol, Trondheim, Norway.
Univ Edinburgh, Biodivers Wildlife & Ecosyst Hlth Biomed Sci, Edinburgh, Midlothian, Scotland.
Swedish Univ Agr Sci, Dept Ecol, Uppsala, Sweden.
Univ Hong Kong, Sch Biol Sci, Hong Kong, Peoples R China.
Insubria Univ, Dept Theoret & Appl Sci, Varese, Italy.
CIRAD, UMR Eco & Sols, Montpellier, France.
Univ Montpellier, Montpellier SupAgro, INRAE, CIRAD,IRD,UMR Eco & Sols, Montpellier, France.
Senckenberg Res Inst, Gelnhausen, Germany.
Nat Hist Museum Frankfurt, Gelnhausen, Germany.
Univ Duisburg Essen, Fac Biol, Essen, Germany.
Martin Luther Univ Halle Wittenberg, Inst Biol Geobot & Bot Garden, Halle, Saale, Germany.
Univ Bergen, Dept Biol Sci, Bergen, Norway.
Univ Bergen, Bjerknes Ctr Climate Res, Bergen, Norway.
Univ Kashmir, Ctr Biodivers & Taxon, Dept Bot, Srinagar, India.
Univ Innsbruck, Dept Ecol, Innsbruck, Austria.
Univ Bordeaux, BIOGECO, INRAE, Cestas, France.
Heathland Ctr, Alver, Norway.
Univ Liege, Fac Gembloux Agrobio Tech, TERRA Teaching & Res Ctr, Gembloux, Belgium.
ZHAW Zurich Univ Appl Sci, Inst Nat Resource Sci, Vegetat Ecol, Gruental, Switzerland.
Univ Nat Resources & Life Sci Vienna BOKU, Inst Bot, Vienna, Austria.
Ctr Agrometeorol Res ZAMF, German Meteorol Serv DWD, Braunschweig, Germany.
Mem Univ, Dept Biol, St John, NF, Canada.
Simon Fraser Univ, Dept Biol Sci, Burnaby, BC, Canada.
Univ Zaragoza, Dept Geog, Zaragoza, Spain.
HAWK Univ Appl Sci & Arts, Fac Resource Management, Gottingen, Germany.
Georg August Univ Gottingen, Albrecht von Haller Inst Plant Sci, Plant Ecol, Gottingen, Germany.
Aarhus Univ, Dept Ecosci & Arctic Res Ctr, Ronde, Denmark.
Masaryk Univ, Fac Sci, Dept Geog, Brno, Czech Republic.
Shinshu Univ, Dept Environm Sci, Matsumoto, Nagano, Japan.
Aarhus Univ, Dept Ecosci & Arctic Res Ctr, Roskilde, Denmark.
Swedish Univ Agr Sci, Dept Forest Ecol & Management, Umea, Sweden.
Forest Res Inst, Dept Silviculture & Forest Tree Genet, Raszyn, Poland.
Bayreuth Ctr Ecol & Environm Res, Bayreuth, Germany.
Pyrenean Inst Ecol, ARAID IPE CSIC, Avda Llano de la Victoria, Aragon, Spain.
Univ Iceland, Life & Environm Sci, Reykjavik, Iceland.
Univ Bristol, Sch Biol Sci, Bristol, Avon, England.
Univ Stirling, Fac Nat Sci Biol & Environm Sci, Stirling, Scotland.
Czech Univ Life Sci Prague, Fac Environm Sci, Prague 6, Suchdol, Czech Republic.
Lund Univ, Ctr Environm & Climate Sci, Lund, Sweden.
Univ Gottingen, Bioclimatol, Gottingen, Germany.
Environm Agcy Austria, Vienna, Austria.
Inst Ecol & Bot, Ctr Ecol Res, Vacratot, Hungary.
Univ Greifswald, Inst Bot & Landscape Ecol, Expt Plant Ecol, Greifswald, Germany.
Austrian Acad Sci OAW, Inst Interdisciplinary Mt Res, GLORIA Coordinat, Vienna, Austria.
Univ Nat Resources & Life Sci, Dept Integrat Biol & Biodivers Res, Vienna, Austria.
Univ Ctr Svalbard UNIS, Dept Arctic Biol, Longyearbyen, Svalbard, Norway.
Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USA.
Univ South Bohemia, Fac Sci, Ctr Polar Ecol, Ceske Budejovice, Czech Republic.
Monash Univ, Sch Biol Sci, Melbourne, Vic, Australia.
Univ Ghent, Dept Biol, Terr Ecol Unit, Ghent, Belgium.
Finnish Meteorol Inst, Climate Syst Res, Helsinki, Finland.
Univ Helsinki, Fac Sci, INAR Inst Atmospher & Earth Syst Res Phys, Helsinki, Finland.
Univ Granada, Interuniv Inst Earth Syst Res, Granada, Spain.
CNR Inst Agr & Forestry Syst Mediterranean, Naples, Italy.
Tech Univ Zvolen, Fac Forestry, Zvolen, Slovakia.
Open Univ Cyprus, Sch Pure & Appl Sci, Environm Conservat & Management Programme, Latsia, Cyprus.
Aarhus Univ, Dept Biol, Aarhus C, Denmark.
Aarhus Inst Adv Studies, AIAS Hoegh Guldbergs Gade 6B, Aarhus, Denmark.
Mendel Univ Brno, Fac Forestry & Wood Technol, Dept Forest Bot Dendrol & Geobiocoenol, Brno, Czech Republic.
Odesa Natl II Mechnikov Univ, Reg Ctr Integrated Environm Monitoring, Odesa, Ukraine.
Aarhus Univ, Dept Agroecol, Tjele, Denmark.
NGO New Energy, Kharkiv, Ukraine.
Inst Nacl de Pesquisas da Amazonia, Coordenacao Dinam Ambiental, Biol Dynam Forest Fragments Project, Manaus, Amazonas, Brazil.
Univ Antwerp, Dept Biol, Antwerp, Belgium.
Univ British Columbia, Dept Bot, Vancouver, BC, Canada.
Univ British Columbia, Biodivers Res Ctr, Vancouver, BC, Canada.
Dept Environm, Antwerp, Province Of Ant, Belgium.
Russian Acad Sci, Ural Div, Inst Plant & Anim Ecol, Ekaterinburg, Russia.
Univ Pavia, Dept Earth & Environm Sci, Pavia, Italy.
Free Univ Bolzano, Fac Sci & Technol, Bolzano, Italy.
Univ Freiburg, Chair Geobot, Freiburg, Germany.
UNSW Sydney, Sch Biol Earth & Environm Sci, Ctr Ecosyst Sci, Sydney, NSW, Australia.
Univ Seville, Dept Plant Biol & Ecol, Seville, Spain.
Washington Univ, Dept Biol, Campus Box 1137, St Louis, MO 63130 USA.
Univ Estadual Campinas, Inst Biol, Dept Anim Biol, Campinas, Brazil.
CNR, Inst BioEcon, Bologna, Italy.
Carleton Univ, Natl Wildlife Res Ctr, Environm & Climate Change Canada, Ottawa, ON, Canada.
Deakin Univ, Sch Life & Environm Sci, Burwood, Vic, Australia.
Eurac Res, Inst Alpine Environm, Bolzano, Italy.
Univ Hohenheim, Inst Biol, Dept Mol Bot, Stuttgart, Germany.
Consejo Nacl Invest Cient & Tecn, Inst Matemat Aplicada San Luis, IMASL, San Luis, Argentina.
Univ Nacl San Luis, San Luis, Argentina.
Catedra Climatol Agr FCA UNER, Entre Rios, Argentina.
Univ Nacl Comahue, INIBIOMA, Grp Ecol Invas, CONICET, San Carlos De Bariloche, Rio Negro, Argentina.
Global Ecol Unit CREAF CSIC UAB, CSIC, Bellaterra, Spain.
CREAF, Barcelona, Spain.
Mt Moon Univ, Ft Portal, Uganda.
Natl Agr Res Org, Mbarara Zonal Agr Res & Dev Inst, Mbarara, Uganda.
Poznan Univ Life Sci, Fac Environm Engn & Mech Engn, Dept Construct & Geoengn, Lab Meteorol, Poznan, Poland.
Lund Univ, Dept Biol, Lund, Sweden.
Univ Greifswald, Inst Bot & Landscape Ecol, Greifswald, Germany.
VN Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia.
Univ Tartu, Inst Ecol & Earth Sci, Tartu, Estonia.
Utah State Univ, Dept Biol, Logan, UT 84322 USA.
Utah State Univ, Ecol Ctr, Logan, UT 84322 USA.
Imperial Coll, Dept Life Sci, Ascot, Berks, England.
Swiss Fed Inst Technol, Dept Environm Syst Sci, Landscape Ecol, Inst Terr Ecosyst, Zurich, Switzerland.
Swiss Fed Res Inst WSL, Unit Land Change Sci, Birmensdorf, Switzerland.
Nalanda Univ, Sch Ecol & Environm Studies, Rajgir, India.
Univ Sheffield, Sch Biosci, Sheffield, S Yorkshire, England.
Univ Aveiro, CESAM, Aveiro, Portugal.
Univ Aveiro, Dept Environm, Aveiro, Portugal.
Univ Padua, Dept Agron Food Nat Resources Anim & Environm, Legnaro, Italy.
Univ Savoie Mt Blanc, Univ Grenoble Alpes, CNRS, EDYTEM, Chambery, France.
Univ Autonoma Barcelona, Barcelona, Spain.
Nicolaus Copernicus Univ, Fac Biol & Vet Sci, Dept Ecol & Biogeog, Torun, Poland.
Nicolaus Copernicus Univ, Ctr Climate Change Res, Torun, Poland.
Babes Bolyai Univ, A Borza Bot Garden, Cluj Napoca, Romania.
Babes Bolyai Univ, Fac Biol & Geol, Dept Taxon & Ecol, Cluj Napoca, Romania.
Babes Bolyai Univ, EG Racovi Inst, Cluj Napoca, Romania.
Univ Wollongong, Sch Earth Atmospher & Life Sci, Securing Antarct Environm Future, Wollongong, NSW, Australia.
Univ Appl Sci Trier, Environm Campus Birkenfeld, Birkenfeld, Germany.
Inst Univ France, Paris, France.
Radboud Univ Nijmegen, Radboud Inst Environm & Biol Sci, Aquat Ecol & Environm Biol, Nijmegen, Netherlands.
Univ Notre Dame, Environm Change Initiat, Notre Dame, IN 46556 USA.
Swiss Natl Pk, Chaste Planta, Zernez, Switzerland.
Univ Zurich, Dept Geog, Remote Sensing Labs, Zurich, Switzerland.
CIRAD, UMR Eco & Sols, Dakar, Senegal.
Univ Montpellier, Inst Agro, INRAE, CIRAD,IRD,Eco & Sols, Montpellier, France.
Ctr IRD ISRA Bel Air, LMI IESOL, Dakar, Senegal.
Parc Natl Ecrins Domaine Charance, Domaine De Charance, France.
Univ Nacl San Antonio Abad del Cusco, Cuzco, Peru.
Ctr Invest Biodiversidad Wilhelm L Johannsen, Cuzco, Peru.
Inst Nacl Pesquisas Amaz Nia, PDBFF, Biol Dynam Forest Fragments Project, Manaus, Amazonas, Brazil.
Umea Univ, Dept Ecol & Environm Sci, Umea, Sweden.
Forschungszentrum Julich, Inst Bio & Geosci IBG 3 Agrosphere, Julich, Germany.
Univ Tubingen, Dept Geosci, Chair Soil Sci & Geomorphol, Tubingen, Germany.
Univ British Columbia, Dept Geog, Vancouver, BC, Canada.
Dept Bot & Biodivers Res, Vienna, Austria.
Princeton Univ, Princeton Sch Publ & Int Affairs, Princeton, NJ 08544 USA.
Univ Lorraine, AgroParisTech, INRAE, Nancy, France.
Nicolaus Copernicus Univ, Fac Earth Sci & Spatial Management, Dept Soil Sci & Landscape Management, Torun, Poland.
Pk Canada Agcy, Terra Nova Natl Pk, Glovertown, NF, Canada.
Univ Estadual Norte Fluminense, Rio De Janeiro, Brazil.
Forest Res Inst Zvolen, Natl Forest Ctr, Zvolen, Slovakia.
Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.
Dept Earth & Environm Sci, Leuven, Belgium.
Univ Fed Vicosa, Soil Sci Dept, Vicosa, MG, Brazil.
Univ Fed Paraiba, Dept Geociencias, Cidade Univ, Joao Pessoa, Paraiba, Brazil.
Goethe Univ Frankfurt, Dept Phys Geog, Frankfurt, Germany.
Univ Calif Riverside, Dept Evolut Ecol & Organismal Biol, Riverside, CA 92521 USA.
Norwegian Univ Sci & Technol, NTNU Univ Museum, Dept Nat Hist, Trondheim, Norway.
Univ Picardie Jules Verne, UMR 7058 CNRS Ecol & Dynam Syst Anthropises EDYSA, Amiens, France.
Univ Molise, Dipartimento Biosci & Terr, EnvixLab, Termoli, Italy.
Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res IMK, Dept Atmospher Environm Res IFU, Garmisch Partenkirchen, Germany.
Swedish Univ Agr Sci, SLU Swedish Species Informat Ctr, Uppsala, Sweden.
Univ Copenhagen, Dept Geosci & Nat Resource Management, Copenhagen, Denmark.
Univ Greifswald, Partner Greifswald Mire Ctr, Inst Bot & Landscape Ecol, Expt Plant Ecol, Greifswald, Germany.
Fdn JM Aubert, Champex Lac, Switzerland.
Univ Geneva, Dept Bot & Biol Vegetale, Chambesy, Switzerland.
Aberystwyth Univ, Dept Geog & Earth Sci, Aberystwyth, Dyfed, Wales.
Babe Bolyai Univ, Ctr Systemat Biol Biodiversity & Bioresources 3B, Cluj Napoca, Romania.
Queens Univ, Dept Geog & Planning, Northern Environm Geosci Lab, Kingston, ON, Canada.
Osaka Prefecture Univ, Grad Sch Life & Environm Sci, Osaka, Japan.
Nat Res Ctr, Vilnius, Lithuania.
Natl Inst Res & Dev Biol Sci, Inst Biol Res Cluj Napoca, Bucharest, Romania.
CNR, Inst BioEcon, Florence, Italy.
Univ Antwerp, Ecosyst Management Res Grp ECOBE, Antwerp, Belgium.
Katholieke Univ Leuven, Dept Biol, Plant Conservat & Populat Biol, Heverlee, Belgium.
Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Moscow, Russia.
Netherlands Inst Ecol, Wageningen, Netherlands.
Wageningen Univ, Plant Ecol & Nat Conservat Grp, Wageningen, Netherlands.
Deakin Univ, Ctr Integrat Ecol, Sch Life & Environm Sci, Burwood, Vic, Australia.
Univ Ghent, Dept Environm, CAVElab Computat & Appl Vegetat Ecol, Ghent, Belgium.
Univ Aveiro, Ctr Environm & Marine Studies CESAM, Dept Environm & Planning, Earth Surface Proc Team, Aveiro, Portugal.
IPE CSIC, Inst Pirena Ecol, Av Llano de la Victoria, Jaca, Huesca, Spain.
CNR, Inst Agr & Forestry Syst Mediterranean, Portici, Italy.
Univ Lausanne, Fac Geosci & Environm, Inst Earth Surface Dynam, Geopolis, Switzerland.
Forest Res, Northern Res Stn, Roslin, Midlothian, Scotland.
Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China.
Northeast Normal Univ, Sch Geog Sci, MOE Key Lab Geog Proc & Ecol Secur Changbai Mt, Changchun, Peoples R China.
Lehigh Univ, Dept Earth & Environm Sci, Bethlehem, PA 18015 USA.
Princeton Univ, High Meadows Environm Inst, Princeton, NJ 08544 USA.
East China Normal Univ, Sch Ecol & Environm Sci, Zhejiang Tiantong Forest Ecosyst Natl Observat &, Shanghai, Peoples R China.
Univ Bayreuth, Ecol Bot Gardens, Bayreuth, Germany.
Northeast Normal Univ, Sch Geog Sci, Key Lab Geog Proc & Ecol Secur Changbai Mt, Minist Educ, Changchun, Peoples R China.

Доп.точки доступа:
Lembrechts, Jonas J.; van den Hoogen, Johan; Aalto, Juha; Ashcroft, Michael B.; De Frenne, Pieter; Kemppinen, Julia; Kopecky, Martin; Luoto, Miska; Maclean, Ilya M. D.; Crowther, Thomas W.; Bailey, Joseph J.; Haesen, Stef; Klinges, David H.; Niittynen, Pekka; Scheffers, Brett R.; Van Meerbeek, Koenraad; Aartsma, Peter; Abdalaze, Otar; Abedi, Mehdi; Aerts, Rien; Ahmadian, Negar; Ahrends, Antje; Alatalo, Juha M.; Alexander, Jake M.; Allonsius, Camille Nina; Altman, Jan; Ammann, Christof; Andres, Christian; Andrews, Christopher; Ardo, Jonas; Arriga, Nicola; Arzac, Alberto; Aschero, Valeria; Assis, Rafael L.; Assmann, Jakob Johann; Bader, Maaike Y.; Bahalkeh, Khadijeh; Barancok, Peter; Barrio, Isabel C.; Barros, Agustina; Barthel, Matti; Basham, Edmund W.; Bauters, Marijn; Bazzichetto, Manuele; Marchesini, Luca Belelli; Bell, Michael C.; Benavides, Juan C.; Alonso, J. W.; Berauer, Bernd J.; Bjerke, Jarle W.; Bjork, Robert G.; Bjorkman, Mats P.; Bjornsdottir, Katrin; Blonder, Benjamin; Boeckx, Pascal; Boike, Julia; Bokhorst, Stef; Brum, Barbara N. S.; Bruna, Josef; Buchmann, Nina; Buysse, Pauline; Camargo, Jose Luis; Campoe, Otavio C.; Candan, Onur; Canessa, Rafaella; Cannone, Nicoletta; Carbognani, Michele; Carnicer, Jofre; Casanova-Katny, Angelica; Cesarz, Simone; Chojnicki, Bogdan; Choler, Philippe; Chown, Steven L.; Cifuentes, Edgar F.; Ciliak, Marek; Contador, Tamara; Convey, Peter; Cooper, Elisabeth J.; Cremonese, Edoardo; Curasi, Salvatore R.; Curtis, Robin; Cutini, Maurizio; Dahlberg, C. Johan; Daskalova, Gergana N.; de Pablo, B.; Della Chiesa, Stefano; Dengler, Juergen; Deronde, Bart; Descombes, Patrice; Di Cecco, Valter; Di Musciano, Michele; Dick, Jan; Dimarco, Romina D.; Dolezal, Jiri; Dorrepaal, Ellen; Dusek, Jiri; Eisenhauer, Nico; Eklundh, Lars; Erickson, Todd E.; Erschbamer, Brigitta; Eugster, Werner; Ewers, Robert M.; Exton, Dan A.; Fanin, Nicolas; Fazlioglu, Fatih; Feigenwinter, Iris; Fenu, Giuseppe; Ferlian, Olga; Calzado, E. C.; Fernandez-Pascual, Eduardo; Finckh, Manfred; Higgens, Rebecca Finger; Forte, T'ai G. W.; Freeman, Erika C.; Frei, Esther R.; Fuentes-Lillo, Eduardo; Garcia, Rafael A.; Garcia, Maria B.; Geron, Charly; Gharun, Mana; Ghosn, Dany; Gigauri, Khatuna; Gobin, Anne; Goded, Ignacio; Goeckede, Mathias; Gottschall, Felix; Goulding, Keith; Govaert, Sanne; Graae, Bente Jessen; Greenwood, Sarah; Greiser, Caroline; Grelle, Achim; Guenard, Benoit; Guglielmin, Mauro; Guillemot, Joannes; Haase, Peter; Haider, Sylvia; Halbritter, Aud H.; Hamid, Maroof; Hammerle, Albin; Hampe, Arndt; Haugum, Siri, V; Hederova, Lucia; Heinesch, Bernard; Helfter, Carole; Hepenstrick, Daniel; Herberich, Maximiliane; Herbst, Mathias; Hermanutz, Luise; Hik, David S.; Hoffren, Raul; Homeier, Juergen; Hortnagl, Lukas; Hoye, Toke T.; Hrbacek, Filip; Hylander, Kristoffer; Iwata, Hiroki; Jackowicz-Korczynski, Marcin Antoni; Jactel, Herve; Jarveoja, Jarvi; Jastrzebowski, Szymon; Jentsch, Anke; Jimenez, Juan J.; Jonsdottir, Ingibjorg S.; Jucker, Tommaso; Jump, Alistair S.; Juszczak, Radoslaw; Kanka, Robert; Kaspar, Vit; Kazakis, George; Kelly, Julia; Khuroo, Anzar A.; Klemedtsson, Leif; Klisz, Marcin; Kljun, Natascha; Knohl, Alexander; Kobler, Johannes; Kollar, Jozef; Kotowska, Martyna M.; Kovacs, Bence; Kreyling, Juergen; Lamprecht, Andrea; Lang, Simone, I; Larson, Christian; Larson, Keith; Laska, Kamil; Maire, Guerric Ie; Leihy, Rachel, I; Lens, Luc; Liljebladh, Bengt; Lohila, Annalea; Lorite, Juan; Loubet, Benjamin; Lynn, Joshua; Macek, Martin; Mackenzie, Roy; Magliulo, Enzo; Maier, Regine; Malfasi, Francesco; Malis, Frantisek; Man, Matej; Manca, Giovanni; Manco, Antonio; Manise, Tanguy; Manolaki, Paraskevi; Marciniak, Felipe; Matula, Radim; Mazzolari, K.; Medinets, Sergiy; Medinets, Volodymyr; Meeussen, Camille; Merinero, Sonia; Mesquita, A.; Meusburger, Katrin; Meysman, Filip J. R.; Michaletz, Sean T.; Milbau, Ann; Moiseev, Dmitry; Moiseev, Pavel; Mondoni, Andrea; Monfries, Ruth; Montagnani, Leonardo; Moriana-Armendariz, Mikel; di Cella, Umberto Morra; Morsdorf, M.; Mosedale, Jonathan R.; Muffler, Lena; Munoz-Rojas, Miriam; Myers, Jonathan A.; Myers-Smith, Isla H.; Nagy, Laszlo; Nardino, Marianna; Naujokaitis-Lewis, Ilona; Newling, Emily; Nicklas, Lena; Niedrist, Georg; Niessner, Armin; Nilsson, Mats B.; Normand, Signe; Nosetto, Marcelo D.; Nouvellon, Yann; Nunez, Martin A.; Ogaya, Roma; Ogee, Jerome; Okello, Joseph; Olejnik, Janusz; Olesen, Jorgen Eivind; Opedal, Oystein H.; Orsenigo, Simone; Palaj, Andrej; Pampuch, Timo; Panov, Alexey, V; Partel, Meelis; Pastor, Ada; Pauchard, Anibal; Pauli, Harald; Pavelka, Marian; Pearse, William D.; Peichl, Matthias; Pellissier, Loic; Penczykowski, Rachel M.; Penuelas, Josep; Bon, Matteo Petit; Petraglia, Alessandro; Phartyal, Shyam S.; Phoenix, Gareth K.; Pio, Casimiro; Pitacco, Andrea; Pitteloud, Camille; Plichta, Roman; Porro, Francesco; Portillo-Estrada, Miguel; Poulenard, Jerome; Poyatos, Rafael; Prokushkin, Anatoly S.; Puchalka, Radoslaw; Puscas, Mihai; Radujkovic, Dajana; Randall, Krystal; Backes, Amanda Ratier; Remmele, Sabine; Remmers, Wolfram; Renault, David; Risch, Anita C.; Rixen, Christian; Robinson, Sharon A.; Robroek, Bjorn J. M.; Rocha, Adrian, V; Rossi, Christian; Rossi, Graziano; Roupsard, Olivier; Rubtsov, Alexey, V; Saccone, Patrick; Sagot, Clotilde; Bravo, N.; Santos, Cinthya C.; Sarneel, Judith M.; Scharnweber, Tobias; Schmeddes, Jonas; Schmidt, Marius; Scholten, Thomas; Schuchardt, Max; Schwartz, Naomi; Scott, Tony; Seeber, Julia; de Andrade, L. S.; Seipel, Tim; Semenchuk, Philipp; Senior, Rebecca A.; Serra-Diaz, Josep M.; Sewerniak, Piotr; Shekhar, Ankit; Sidenko, Nikita, V; Siebicke, Lukas; Collier, Laura Siegwart; Simpson, Elizabeth; Siqueira, David P.; Sitkova, Zuzana; Six, Johan; Smiljanic, Marko; Smith, Stuart W.; Smith-Tripp, Sarah; Somers, Ben; Sorensen, Mia Vedel; Souza, Jose Joao L. L.; Souza, Bartolomeu Israel; Dias, Arildo Souza; Spasojevic, Marko J.; Speed, James D. M.; Spicher, Fabien; Stanisci, Angela; Steinbauer, Klaus; Steinbrecher, Rainer; Steinwandter, Michael; Stemkovski, Michael; Stephan, Jorg G.; Stiegler, Christian; Stoll, Stefan; Svatek, Martin; Svoboda, Miroslav; Tagesson, Torbern; Tanentzap, Andrew J.; Tanneberger, Franziska; Theurillat, Jean-Paul; Thomas, Haydn J. D.; Thomas, Andrew D.; Tielborger, J.; Tomaselli, Marcello; Treier, Urs Albert; Trouillier, Mario; Turtureanu, Pavel Dan; Tutton, Rosamond; Tyystjarvi, Vilna A.; Ueyama, Masahito; Ujhazy, Karol; Ujhazyova, Mariana; Uogintas, Domas; Urban, Anastasiya, V; Urban, Josef; Urbaniak, Marek; Ursu, Tudor-Mihai; Vaccari, Francesco Primo; Van de Vondel, Stijn; van den Brink, Liesbeth; Van Geel, Maarten; Vandvik, Vigdis; Vangansbeke, Pieter; Varlagin, Andrej; Veen, G. F.; Veenendaal, Elmar; Venn, Susanna E.; Verbeeck, Hans; Verbrugggen, Erik; Verheijen, Frank G. A.; Villar, Luis; Vitale, Luca; Vittoz, Pascal; Vives-Ingla, Maria; von Oppen, Jonathan; Walz, Josefine; Wang, Runxi; Wang, Yifeng; Way, Robert G.; Wedegartner, Ronja E. M.; Weigel, Robert; Wild, Jan; Wilkinson, Matthew; Wilmking, Martin; Wingate, Lisa; Winkler, Manuela; Wipf, Sonja; Wohlfahrt, Georg; Xenakis, Georgios; Yang, Yan; Yu, Zicheng; Yu, Kailiang; Zellweger, Florian; Zhang, Jian; Zhang, Zhaochen; Zhao, Peng; Ziemblinska, Klaudia; Zimmermann, Reiner; Zong, Shengwei; Zyryanov, Viacheslav, I; Nijs, Ivan; Lenoir, Jonathan; Goulding, Keith WT; Campoe, Otávio C.; Dahlberg, Carl Johan; Jiménez, Juan J.; Verheijen, Frank G.A.; Kopecký, Martin; Muñoz-Rojas, Miriam; Brůna, Josef; Björk, Robert G.; Stephan, Jörg G.; Garcia, Maria Begoña; Siqueira, David Pessanha; De, Miguel Ángel; de, José João Lelis Leal; von, Jonathan; Della, Stefano; Van, Stijn; Lembrechts, Jonas; Maclean, Ilya; van, Johan; Leihy, Rachel; Research Foundation FlandersFWO [G018919N, W001919N, 12P1819N]; DOB Ecology; University of Helsinki, Faculty of Science (MICROCLIM) [7510145]; European Research Council (ERC) under the European UnionEuropean Research Council (ERC) [FORMICA 757833]; Arctic Interactions at the University of Oulu; Academy of FinlandAcademy of Finland [318930, 337552]; Maaja vesitekniikan tuki ry.; Tiina and Antti Herlin Foundation; Nordenskiold Samfundet; Societas pro Fauna et Flora Fennica; Czech Science FoundationGrant Agency of the Czech Republic [20-28119S, 20-05840Y, GA17-19376S, 21-11487S]; Czech Academy of SciencesCzech Academy of Sciences [RVO 67985939]; National Geographic SocietyNational Geographic Society [9480-14, WW-240R-17]; CISSC (program ICRP) [2397]; INSFIran National Science Foundation (INSF) [96005914]; Scottish Government's Rural and Environment Science and Analytical Services Division; Qatar Petroleum [QUEX-CAS-QP-RD-18/19]; European Union's Horizon 2020 research and innovation program [678841]; Swiss National Science FoundationSwiss National Science Foundation (SNSF)European Commission [172198, 193645, 31003A_176044]; Czech Ministry of Education, Youth and SportsMinistry of Education, Youth & Sports - Czech Republic [LTAUSA19137]; Ministry of Science and Higher Education of the Russian Federation [FSRZ-2020-0014]; Independent Research Fund Denmark [8021-00423B, 7027-00133B]; German Research FoundationGerman Research Foundation (DFG) [DFG- FZT 118, 202548816, TI 338/14-1, TI 338/14-2, BA 3843/6-1]; grant project VEGA of the Ministry of Education of the Slovak Republic; Slovak Academy of Sciences [2/0132/18]; Forestry Commission; Universidad Javeriana; Direccion General de Cambio Climatico del Gobierno de Aragon; European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant [657627]; SNF [407340_172433, 40FA40_154245, 20FI21_148992, 20FI20_173691]; EUEuropean Commission [17841, 774124]; MCTI/CNPq/FNDCT [68/2013]; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'; Spanish governmentSpanish GovernmentEuropean Commission [CGL2016-78093-R]; ANID-FONDECYT [1181745]; National Science Foundation, Poland [UMO-2017/27/B/ST10/02228]; South African National Research FoundationNational Research Foundation - South Africa; Australian Research CouncilAustralian Research Council; Slovak Research and Development AgencySlovak Research and Development Agency [APVV-19-0319]; Instituto Antartico Chileno [INACH_RT-48_16, INACH FR-0418]; CONICYTComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) [PIA APOYO CCTE AFB170008, PIA AFB170008]; NERCUK Research & Innovation (UKRI)Natural Environment Research Council (NERC); Norwegian Research CouncilResearch Council of NorwayEuropean Commission [230970]; NERC E3 doctoral training partnership grant at the University of Edinburgh [NE/L002558/1]; Carnegie Trust for the Universities of Scotland; Gobern of Spain [PERMAPLANET CTM2009-10165-E, ANTARPERMA CTM2011-15565-E, PERMASNOW CTM2014-52021-R]; University of Alcala; Spanish Polar Committee; Autonomous Province of Bolzano (ITA); ScotNature; NERC National Capability LTS-S: UK-SCAPE [NE/R016429/1]; MSMTMinistry of Education, Youth & Sports - Czech Republic [LTAUSA18007]; Kempe Foundation [JCK-1112, JCK-1822]; Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I) [LO1415]; project for national infrastructure support CzeCOS/ICOS [LM2015061]; GLORIA-EU [EVK2-CT2000-00056]; Tiroler Wissenschaftsfonds; University of Innsbruck; Sime Darby Foundation; Jardin Botanico Atlantico [SV-20-GIJON-JBA]; German Federal Ministry of Education and Research (BMBF)Federal Ministry of Education & Research (BMBF) [01LL0912, 01LG1201M, 01LG1201N]; FondecytComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)CONICYT FONDECYT [11170516, 1180205]; ANID [PIA / BASAL FB210006]; National Parks (DYNBIO) [1656/2015]; Spanish Research Agency (VULBIMON) [CGL2017-90040-R]; Swiss National Science Foundation (ICOS-CH Phase 2)Swiss National Science Foundation (SNSF) [20FI20_173691]; UK Biotechnology and Biological Research CouncilUK Research & Innovation (UKRI)Biotechnology and Biological Sciences Research Council (BBSRC) [206/D16053]; Research Foundation Flanders (FWO)FWO [G0H1517N]; EU Horizon2020 INFRAIA project eLTER-PLUS [871128]; project LTER-CWN (FFG, F&E Infrastrukturforderung) [858024]; Austrian Climate Research Program [ACRP7 - CentForCSink - KR14AC7K11960]; iDiv by the German Research Foundation [DFG- FZT 118, 202548816]; Baden-Wurttemberg Ministry of Science, Research and Arts; Weston Foundation; ArcticNet; Natural Sciences and Engineering Council (Canada)Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-06691]; Villum FoundationVillum Foundation [17523]; Ministry of Education, Youth and Sports of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic [LM2015078, VAN2020/01, CZ.02.1.01/0.0/0.0/16_013/0001708, LTT17033, LTT20017, INTER-TRANSFER LTT19018]; Bolin Centre for Climate Research, Stockholm University; Swedish Research Council FORMASSwedish Research CouncilSwedish Research Council Formas [2014-00530, 2018-00792, 2016-01187]; Swedish Forest Society Foundation [2018-485-Steg 2 2017]; German Federal Ministry of Education and Research BMBFFederal Ministry of Education & Research (BMBF) [FKZ 031B0516C SUSALPS]; Oberfrankenstiftung [OFS FP00237]; Energy Research Fund [NYR-11 - 2019, NYR-18 - 2020]; UK NERC Independent Research Fellowship [NE/S01537X/1]; National Science Centre of PolandNational Science Centre, Poland [2016/21/B/ST10/02271]; Polish National Centre for Research and Development [Pol-Nor/203258/31/2013]; MoEFCC, Govt of India (AICOPTAX project) [22018/12/2015/RE/Tax]; FORMASSwedish Research Council Formas [2018-01781, 2018-02700, 2019-00836]; research infrastructure ICOS-SE; National Research, Development and Innovation Fund of Hungary [K128441]; Programa Operativo FEDER 2018 [B1-RNM-163-UGR-18]; Norwegian Research Council (NORKLIMA grants) [184912, 244525]; CONICYT-PAI [79170119]; ANID-MPG [190029]; project MIUR PON Cluster OT4CLIMA; Stelvio National Park; AIAS-COFUND fellowship programme - Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration [609033]; Aarhus University Research Foundation, Denmark; EU FP6 NitroEurope [17841]; EU FP7 ECLAIRE [282910]; Ministry of Education and Science of Ukraine [505, 550, 574, 602]; GEF-UNEP [NEC05348]; ENI CBC BSB PONTOS [BSB 889]; Netherlands Organization for Scientific ResearchNetherlands Organization for Scientific Research (NWO) [016.VICI.170.072]; New Frontiers in Research Fund-Exploration [NFRF-2018-02043]; NSERCNatural Sciences and Engineering Research Council of Canada (NSERC); Australian Research Council Discovery Early Career Research AwardAustralian Research Council [DE180100570]; National Science FoundationNational Science Foundation (NSF) [DEB 1557094]; International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis; ForestGEOSmithsonian InstitutionSmithsonian Tropical Research Institute; Tyson Research Center; UK Natural Environment Research Council through the ShrubTundra Project [NE/M016323/1]; FORMASSwedish Research Council Formas; VRSwedish Research Council; Kempe Foundations - research infrastructure ICOS; Kempe Foundations - research infrastructure SITES; CONICETConsejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) [PIP 112-201501-00609]; Spanish Ministry of ScienceSpanish Government [PID2019-110521GB-I00]; Catalan government [2017-1005]; French National Research Agency (ANR)French National Research Agency (ANR) [ANR-10-LABX-45]; General Directorate of State Forests, Warsaw, Poland; Max Planck Society (Germany)Max Planck Society; RFBRRussian Foundation for Basic Research (RFBR); Krasnoyarsk Territory; Krasnoyarsk Regional Fund of Science [20-45-242908]; Estonian Research CouncilEstonian Research Council [PRG609]; Knut and Alice Wallenberg FoundationKnut & Alice Wallenberg Foundation [2015.0047]; Swedish Research Council (VR)Swedish Research Council; fundacion Ramon Areces grant ELEMENTAL-CLIMATE; Svalbard Environmental Protection Fund [15/128]; Research Council of NorwayResearch Council of Norway [269957]; Humboldt Fellowship for Experienced Researchers; RFBRRussian Foundation for Basic Research (RFBR) [18-05-60203-Arktika]; Polish National Science Centre [2017/27/B/NZ8/00316]; ODYSSEE project (PN-II-ID-JRP-RO-FR-2012) [ANR-13-ISV7-0004]; Australian Government Research Training Program ScholarshipAustralian GovernmentDepartment of Industry, Innovation and Science; Global Challenges program at the University of Wollongong; ARC the Australian Antarctic Division; INACH; project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor); Zone Atelier CNRS Antarctique et Terres Australes; SAD Region Bretagne (Project INFLICT); BiodivERsa 2019-2020 BioDivClim call 'ASICS' [ANR-20-EBI5-0004]; NSFNational Science Foundation (NSF) [1556772]; EU-LEAP-Agri (RAMSES II); EU-DESIRA (CASSECS); EU-H2020 (SustainSahel); AGROPOLIS; TOTAL Foundations (DSCATT)Total SA; CGIAR (GLDC)CGIAR; Russian Science FoundationRussian Science Foundation (RSF) [18-74-10048]; VetenskapsradetSwedish Research Council [2014-04270]; ALTER-net multi-site grant, River LIFE project [LIFE08 NAT/S/000266]; Flexpeil; Polish Ministry of Science and Higher EducationMinistry of Science and Higher Education, Poland [N N305 304840]; ETH ZurichETH Zurich [FEVER ETH-27 19-1]; NSERC Canada Graduate Scholarship (Doctoral) Program; ArcticNet-NCE; Conselho Nacional de Desenvolvimento Cientifico e TecnologicoConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) [141513/2017-9]; FundacAo Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de JaneiroFundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ) [E26/200.84/2019]; SRDA [APVV-16-0325, APVV-20-0365]; ERDF (CE LignoSilva) [ITMS 313011S735]; ETH ZurichETH Zurich; EU Horizon 2020 [641918]; German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association; Bavarian Ministry of the Environment and Public Health [UGV06080204000]; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)German Research Foundation (DFG) [192626868]; Swedish National Space Board (SNSB) [95/16]; CASSECS project by the European Union; UK Natural Environment Research Council (NERC)UK Research & Innovation (UKRI)Natural Environment Research Council (NERC) [NE/L002558/1]; MEMOIRE project [PN-III-P1-1.1-PD2016-0925]; Arctic Challenge for Sustainability II (ArCS II) [JPMXD1420318865]; Romanian Ministry of Education and Research (CCCDI - UEFISCDI)Consiliul National al Cercetarii Stiintifice (CNCS)Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii (UEFISCDI) [PN-III-P2-2.1-PED-2019-4924, PN2019-2022/19270201, 25N BIODIVERS 3-BIOSERV]; RSFRussian Science Foundation (RSF) [21-14-00209.]; Dutch Research Council NWONetherlands Organization for Scientific Research (NWO) [863.14.013]; Australian Research CouncilAustralian Research Council [DE140101611]; Portuguese Science Foundation (FCT)Portuguese Foundation for Science and Technology [CEECIND/02509/2018]; CESAM [UIDP/50017/2020+UIDB/50017/2020]; FCT/MCTESPortuguese Foundation for Science and TechnologyEuropean Commission; FEDER, within the PT2020 Partnership Agreement; Compete 2020; Spanish Ministry of Science and InnovationSpanish Government [FPU17/05869]; Swiss Federal Office for the Environment (FOEN); Giacomi foundation; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41861134039, 41941015, 41877458]; Agence Nationale de la Recherche (ANR)French National Research Agency (ANR) [ANR-19-CE32-0005-01]; Centre National de la Recherche Scientifique (CNRS)Centre National de la Recherche Scientifique (CNRS); Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE); EU INTERACT program; Inuit of Nunatsiavut; Co-management Board of Torngat Mountains National Park; Saxon Switzerland National Park Administration; Bavarian Forest National Park administration; BECC - Biodiversity and Ecosystem services in a Changing Climate; Research Foundation Flanders (FWO-SBO) [S000619N]