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

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Найдено документов в текущей БД: 3

    Reassessing the evidence for tree-growth and inferred temperature change during the Common Era in Yamalia, northwest Siberia
/ K. R. Briffa [et al.] // Quat. Sci. Rev. - 2013. - Vol. 72. - P83-107, DOI 10.1016/j.quascirev.2013.04.008. - Cited References: 70. - KRB, TMM and TJO acknowledge support from NERC (NE/G018863/1). RMH, AVK, VSM and SGS acknowledge support from the partnership project of the Ural and Siberian Branches of the Russian Academy of Sciences (No 12-C-4-1038 and No 69). SGS, VSM and RMH acknowledge support from the Russian Foundation for Basic Research (No 11-04-00623-a, No 13-04-00961-a and No 13-04-02058). . - 25. - ISSN 0277-3791
РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: The development of research into the history of tree growth and inferred summer temperature changes in Yamaha spanning the last 2000 years is reviewed. One focus is the evolving production of tree-ring width (TRW) and tree-ring maximum-latewood density (MXD) larch (Larix sibirica) chronologies, incorporating different applications of Regional Curve Standardisation (RCS). Another focus is the comparison of independent data representing past tree growth in adjacent Yamaha areas: Yamal and Polar Urals, and the examination of the evidence for common growth behaviour at different timescales. The sample data we use are far more numerous and cover a longer time-span at Yamal compared to the Polar Urals, but Yamal has only TRW, while there are both TRW and MXD for the Polar Urals. We use more data (sub-fossil and from living trees) than in previous dendroclimatic studies in this region. We develop a new TRW chronology for Yamal, more than 2000 years long and running up to 2005. For the Polar Urals we develop new TRW and MXD chronologies that show good agreement at short (<15 years) and medium (15-100 years) timescales demonstrating the validity of attempts to reconcile the evidence of longer-timescale information that they provide. We use a "conservative" application of the RCS approach (two-curve signal-free RCS), guarding against the possibility of "modern sample bias": a possible inflation of recent chronology values arising out of inadvertent selection of mostly relatively fast-growing trees in recent centuries. We also transform tree indices to have a normal distribution to remove the positive chronology skew often apparent in RCS TRW chronologies. This also reduces the apparent magnitude of 20th century tree-growth levels. There is generally good agreement between all chronologies as regards the major features of the decadal to centennial variability. Low tree-growth periods for which the inferred summer temperatures are approximately 2.5 degrees C below the 1961-90 reference are apparent in the 15-year smoothed reconstructions, centred around 1005, 1300, 1455, 1530, particularly the 1810s where the inferred cooling reaches -4 degrees C or even -6 degrees C for individual years, and the 1880s. These are superimposed on generally cool pre-20th century conditions: the long-term means of the pre-1900 reconstructed temperature anomalies range from -0.6 to -0.9 degrees C in our alternative reconstructions. There are numerous periods of one or two decades with relatively high growth (and inferred summer temperatures close to the 1961-1990 level) but at longer timescales only the 40-year period centred at 250 CE appears comparable with 20th century warmth. Although the central temperature estimate for this period is below that for the recent period, when we take into account the uncertainties we cannot be highly confident that recent warmth has exceeded the temperature of this earlier warm period. While there are clear warm decades either side of 1000 CE, neither TRW nor MXD data support the conclusion that temperatures were exceptionally high during medieval times. One previous version of the Polar Urals TRW chronology is shown here to be in error due to an injudicious application of RCS to non-homogeneous sample data, partly derived from root-collar samples that produce spuriously high chronology values in the 11th and 15th centuries. This biased chronology has been used in a number of recent studies aimed at reconstructing wider scale temperature histories. All of the chronologies we have produced here clearly show a generally high level of growth throughout their most recent 80 years. Allowing for chronology and reconstruction uncertainty, the mean of the last 100 years of the reconstruction is likely warmer than any century in the last 2000 years in this region. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved.

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Держатели документа:
[Briffa, Keith R.
Melvin, Thomas M.
Osborn, Timothy J.] Univ E Anglia, Sch Environm Sci, Climat Res Unit, Norwich NR4 7TJ, Norfolk, England
[Hantemirov, Rashit M.
Mazepa, Valeriy S.
Shiyatov, Stepan G.] Russian Acad Sci, Ural Branch, Inst Plant & Anim Ecol, Ekaterinburg 620144, Russia
[Kirdyanov, Alexander V.] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Esper, Jan] Johannes Gutenberg Univ Mainz, Dept Geog, D-55099 Mainz, Germany
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

Доп.точки доступа:
Briffa, K.R.; Melvin, T.M.; Osborn, T.J.; Hantemirov, R.M.; Kirdyanov, A.V.; Mazepa, V.S.; Shiyatov, S.G.; Esper, J...

    Ranking of tree-ring based temperature reconstructions of the past millennium
[Text] / J. Esper [et al.] // Quat. Sci. Rev. - 2016. - Vol. 145. - P134-151, DOI 10.1016/j.quascirev.2016.05.009. - Cited References:123. - We thank all the tree-ring data producers for sharing their chronologies and measurement series. Supported by the German Science Foundation, Grant 161/9-1. Lamont-Doherty Earth Observatory contribution number 8019. JL acknowledges the German Science Foundation project "Attribution of forced and internal Chinese climate variability in the Common Era". VM acknowledges grant RNF 15-14-30011. BY acknowledges the National Natural Science Foundation of China (Grant 41325008). . - ISSN 0277-3791
РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: Tree-ring chronologies are widely used to reconstruct high-to low-frequency variations in growing season temperatures over centuries to millennia. The relevance of these timeseries in large-scale climate reconstructions is often determined by the strength of their correlation against instrumental temperature data. However, this single criterion ignores several important quantitative and qualitative characteristics of tree-ring chronologies. Those characteristics are (i) data homogeneity, (ii) sample replication, (iii) growth coherence, (iv) chronology development, and (v) climate signal including the correlation with instrumental data. Based on these 5 characteristics, a reconstruction-scoring scheme is proposed and applied to 39 published, millennial-length temperature reconstructions from Asia, Europe, North America, and the Southern Hemisphere. Results reveal no reconstruction scores highest in every category and each has their own strengths and weaknesses. Reconstructions that perform better overall include N-Scan and Finland from Europe, E-Canada from North America, Yamal and Dzhelo from Asia. Reconstructions performing less well include W-Himalaya and Karakorum from Asia, Tatra and S-Finland from Europe, and Great Basin from North America. By providing a comprehensive set of criteria to evaluate tree-ring chronologies we hope to improve the development of large-scale temperature reconstructions spanning the past millennium. All reconstructions and their corresponding scores are provided at www.blogs.uni-mainz.de/fb09climatology. (C) 2016 Elsevier Ltd. All rights reserved.

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Держатели документа:
Johannes Gutenberg Univ Mainz, Dept Geog, D-55099 Mainz, Germany.
Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.
Navarino Environm Observ, Messinia, Greece.
Stockholm Univ, Dept Hist, S-10691 Stockholm, Sweden.
Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden.
Univ Giessen, Dept Geog, D-35390 Giessen, Germany.
Univ Giessen, Ctr Int Dev & Environm Res, D-35390 Giessen, Germany.
Univ Padua, Dipartimento Territorio & Sistemi AgroForestali, I-35020 Legnaro, Italy.
Lamont Doherty Earth Observ, Tree Ring Lab, Palisades, NY 10964 USA.
William Paterson Univ, Dept Environm Sci, Wayne, NJ 07470 USA.
RAS, SB, Inst Forest, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Lab Ecosyst Biogeochem, Krasnoyarsk 660041, Russia.
Siberian Fed Univ, Inst Humanities, Krasnoyarsk 660041, Russia.
Nat Resources Inst Finland Luke, Rovaniemi Unit, Rovaniemi, Finland.
Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland.
Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA.
CONICET Mendoza, Inst Argentino Nivol Glaciol & Ciencias Ambiental, RA-5500 Mendoza, Argentina.
Chinese Acad Sci, Key Lab Desert & Desertificat, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China.

Доп.точки доступа:
Esper, Jan; Krusic, Paul J.; Ljungqvist, Fredrik C.; Luterbacher, Juerg; Carrer, Marco; Cook, E.d.; Davi, Nicole K.; Hartl-Meier, Claudia; Kirdyanov, Alexander; Konter, Oliver; Myglan, Vladimir; Timonen, Mauri; Treydte, Kerstin; Trouet, Valerie; Villalba, Ricardo; Yang, Bao; Buntgen, Ulf; German Science Foundation [161/9-1]; National Natural Science Foundation of China [41325008]; [RNF 15-14-30011]

    Regional coherency of boreal forest growth defines Arctic driftwood provenancing
/ L. Hellmann [et al.] // Dendrochronologia. - 2016. - Vol. 39: Workshop on Current Status and the Potential of Tree-Ring Research in (JAN 20-21, 2015, Krasnoyarsk, RUSSIA). - P3-9, DOI 10.1016/j.dendro.2015.12.010. - Cited References:53 . - ISSN 1125-7865. - ISSN 1612-0051
РУБ Plant Sciences + Forestry + Geography, Physical
Рубрики:
MACKENZIE RIVER DRIFTWOOD
   TREE-RING DATA

   CENTRAL SIBERIA

   ORIGIN

Кл.слова (ненормированные):
Driftwood -- Arctic -- Dendro-provenancing -- Boreal

Аннотация: Arctic driftwood represents a unique proxy archive at the interface of marine and terrestrial environments. Combined wood anatomical and dendrochronological analyses have been used to detect the origin of driftwood and may allow past timber floating activities, as well as past sea ice and ocean current dynamics to be reconstructed. However, the success of driftwood provenancing studies depends on the length, number, and quality of circumpolar boreal reference chronologies. Here, we introduce a Eurasian-wide high-latitude network of 286 ring width chronologies from the International Tree Ring Data Bank (ITRDB) and 160 additional sites comprising the three main boreal conifers Pinus, Larix, and Picea. We assess the correlation structure within the network to identify growth patterns in the catchment areas of large Eurasian rivers, the main driftwood deliverers. The occurrence of common growth patterns between and differing patterns within catchments indicates the importance of biogeographic zones for ring width formation and emphasizes the degree of spatial precision when provenancing. Reference chronologies covering millennial timescales are so far restricted to a few larch sites in Central and Eastern Siberia (eastern Taimyr, Yamal Peninsula and north-eastern Yakutia), as well as several pine sites in Scandinavia, where large rivers are missing though. The general good spatial coverage of tree-ring sites across northern Eurasia indicates the need for updating and extending existing chronologies rather than developing new sites. (C) 2016 Elsevier GmbH. All rights reserved.

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Держатели документа:
WSL, Swiss Fed Res Inst, Birmensdorf, Switzerland.
Oeschger Ctr Climate Change Res, Bern, Switzerland.
Inst Plant & Anim Ecol UD RAS, Ekaterinburg, Russia.
Swiss Fed Inst Technol, Inst Terr Ecosyst, Zurich, Switzerland.
Univ Bern, Dendrolab Ch, Bern, Switzerland.
Johannes Gutenberg Univ Mainz, Mainz, Germany.
Iceland Forest Serv, Reykjavik, Iceland.
VN Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia.
Stolby Natl Wildlife Nat Reserve, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
North Eastern Fed Univ, Yakutsk, Russia.
Melnikov Permafrost Inst, Yakutsk, Russia.
RAS, Inst Geog, Moscow, Russia.
Univ Freiburg, Inst Forest Sci IWW, Freiburg, Germany.
Global Change Res Ctr AS CR, Brno, Czech Republic.

Доп.точки доступа:
Hellmann, Lena; Agafonov, Leonid; Churakova, O.; Duthorn, Elisabeth; Eggertsson, Olafur; Esper, Jan; Kirdyanov, Alexander V.; Knorre, Anastasia A.; Moiseev, Pavel; Myglan, Vladimir S.; Nikolaev, Anatoly N.; Reinig, Frederick; Schweingruber, Fritz; Solomina, Olga; Tegel, Willy; Buntgen, Ulf; buentgen, ulf