Ranking of tree-ring based hydroclimate reconstructions of the past millennium

QUATERNARY SCIENCE REVIEWS

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Article

Ljungqvist, Fredrik Charpentier^1,2,3  Piermattei, Alma⁴  Seim, Andrea⁵  Krusic, Paul J.^4,6  Büntgen, Ulf^4,7,8,9  He, Minhui¹⁰  Kirdyanov, Alexander V.^4,11,12  Luterbacher, Juerg^13,14  Schneider, Lea¹³  Seftigen, Kristina^7,15,16  Stahle, David W.¹⁷  Villalba, Ricardo¹⁸  Yang, Bao¹⁹  Esper, Jan²⁰ 

[1] Stockholm Univ, Dept Hist, SE-10691 Stockholm, Sweden

[2] Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden

[3] Swedish Collegium Adv Study, Uppsala, Sweden

[4] Univ Cambridge, Dept Geog, Cambridge, England

[5] Albert Ludwig Univ Freiburg, Inst Forest Sci, Chair Forest Growth, Freiburg, Germany

[6] Stockholm Univ, Dept Phys Geog, Stockholm, Sweden

[7] Swiss Fed Res Inst WSL, Dendro Sci Grp, Birmensdorf, Switzerland

[8] CAS, CzechGlobe Global Change Res Inst, Brno, Czech Republic

[9] Masaryk Univ, Fac Sci, Dept Geog, Brno, Czech Republic

[10] Northwest Agr & Forestry Univ, Coll Forestry, Ctr Ecol Forecasting & Global Change, Yangling, Shaanxi, Peoples R China

[11] RAS, SB, Sukachev Inst Forest, Krasnoyarsk, Russia

[12] Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia

[13] Justus Liebig Univ, Dept Geog Climatol Climate Dynam & Climate Change, Giessen, Germany

[14] Justus Liebig Univ, Ctr Int Dev & Environm Res, Giessen, Germany

[15] Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden

[16] Catholic Univ Louvain, Georges Lemaitre Ctr Earth & Climate Res, Louvain La Neuve, Belgium

[17] Univ Arkansas, Dept Geosci, Fayetteville, AR 72701 USA

[18] CONICET Mendoza, CCT, Inst Argentino Nivol Glaciol & Ciencias Ambiental, Mendoza, Argentina

[19] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China

[20] Johannes Gutenberg Univ Mainz, Dept Geog, Mainz, Germany

关键词: Paleoclimate;    Dendrochronology;    Dendroclimatology;    Hydroclimate;    Proxy data;    Past millennium;    Climate change;   

DOI  :  10.1016/j.quascirev.2019.106074

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free