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

/ F. C. Ljungqvist, A. Piermattei, A. Seim [et al.] // Quat. Sci. Rev. - 2020. - Vol. 230. - Ст. 106074, DOI 10.1016/j.quascirev.2019.106074. - Cited References:225. - We are grateful to all colleagues for sharing and providing their tree-ring chronologies and measurement series. F.C.L. was supported by the Swedish Research Council (Vetenskapsradet, grant 2018-01272), A.S. by the German Research Foundation (Deutsche Forschungsgemeinschaft, SE 2802/1-1), U.B by the Czech Republic Grant Agency project no. 17-22102S, M.H. by the Alexander von Humboldt Foundation, J.L., L.S. and B.Y. by the Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (BMBF grant 01LP1612A; NERC grant NE/P006809/1; NSFC grant 41661144008), K.S. by FORMAS (grant 2014-723) and the Swiss National Science Foundation SNSF (project XELLCLIM no. 200021-182398), I.E. by the German Research Foundation (Deutsche Forschungsgemeinschaft, grants Inst 247/665-1 FUGG and ES 161/9-1). F.C.L. acknowledges a longer stay as Visiting Scholar at the Department of Geography, University of Cambridge, allowing time and inspiration to pursue this study. All reconstructions, with the data in the public domain, and their corresponding scores are provided at www.blogs.uni-mainz.de/fb09climatology. . - ISSN 0277-3791РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: To place recent hydroclimate changes, including drought occurrences, in a long-term historical context, tree-ring records serve as an important natural archive. Here, we evaluate 46 millennium-long tree-ring based hydroclimate reconstructions for their Data Homogeneity, Sample Replication, Growth Coherence, Chronology Development, and Climate Signal based on criteria published by Esper et al. (2016) to assess tree-ring based temperature reconstructions. The compilation of 46 individually calibrated site reconstructions includes 37 different tree species and stem from North America (n = 29), Asia (n = 10); Europe (n = 5), northern Africa (n = 1) and southern South America (n = 1). For each criterion, the individual reconstructions were ranked in four groups, and results showed that no reconstruction scores highest or lowest for all analyzed parameters. We find no geographical differences in the overall ranking, but reconstructions from arid and semi-arid environments tend to score highest. A strong and stable hydroclimate signal is found to be of greater importance than a long calibration period. The most challenging trade-off identified is between high continuous sample replications, as well as a well-mixed age class distribution over time, and a good internal growth coherence. Unlike temperature reconstructions, a high proportion of the hydroclimate reconstructions are produced using individual series detrending methods removing centennial-scale variability. By providing a quantitative and objective evaluation of all available tree-ring based hydroclimate reconstructions we hope to boost future improvements in the development of such records and provide practical guidance to secondary users of these reconstructions. (C) 2019 The Authors. Published by Elsevier Ltd.

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Держатели документа:
Stockholm Univ, Dept Hist, SE-10691 Stockholm, Sweden.
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden.
Swedish Collegium Adv Study, Uppsala, Sweden.
Univ Cambridge, Dept Geog, Cambridge, England.
Albert Ludwig Univ Freiburg, Inst Forest Sci, Chair Forest Growth, Freiburg, Germany.
Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.
Swiss Fed Res Inst WSL, Dendro Sci Grp, Birmensdorf, Switzerland.
CAS, CzechGlobe Global Change Res Inst, Brno, Czech Republic.
Masaryk Univ, Fac Sci, Dept Geog, Brno, Czech Republic.
Northwest Agr & Forestry Univ, Coll Forestry, Ctr Ecol Forecasting & Global Change, Yangling, Shaanxi, Peoples R China.
RAS, SB, Sukachev Inst Forest, Krasnoyarsk, Russia.
Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia.
Justus Liebig Univ, Dept Geog Climatol Climate Dynam & Climate Change, Giessen, Germany.
Justus Liebig Univ, Ctr Int Dev & Environm Res, Giessen, Germany.
Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden.
Catholic Univ Louvain, Georges Lemaitre Ctr Earth & Climate Res, Louvain La Neuve, Belgium.
Univ Arkansas, Dept Geosci, Fayetteville, AR 72701 USA.
CONICET Mendoza, CCT, Inst Argentino Nivol Glaciol & Ciencias Ambiental, Mendoza, Argentina.
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China.
Johannes Gutenberg Univ Mainz, Dept Geog, Mainz, Germany.

Доп.точки доступа:
Ljungqvist, Fredrik Charpentier; Piermattei, Alma; Seim, Andrea; Krusic, Paul J.; Buntgen, Ulf; He, Minhui; Kirdyanov, Alexander V.; Luterbacher, Juerg; Schneider, Lea; Seftigen, Kristina; Stahle, David W.; Villalba, Ricardo; Yang, Bao; Esper, Jan; Swedish Research Council (Vetenskapsradet)Swedish Research Council [2018-01272]; German Research Foundation (Deutsche Forschungsgemeinschaft)German Research Foundation (DFG) [ES 161/9-1, SE 2802/1-1, Inst 247/665-1 FUGG]; Czech Republic Grant AgencyGrant Agency of the Czech Republic [17-22102S]; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (BMBF)Federal Ministry of Education & Research (BMBF) [01LP1612A]; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (NERC) [NE/P006809/1]; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (NSFC)National Natural Science Foundation of China [41661144008]; FORMASSwedish Research Council Formas [2014-723]; Swiss National Science Foundation SNSF (project XELLCLIM)Swiss National Science Foundation (SNSF) [200021-182398]