J 2020

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

LJUNGQVIST, Fredrik Charpentier, Alma PIERMATTEI, Andrea SEIM, Paul J. KRUSIC, Ulf BÜNTGEN et. al.

Základní údaje

Originální název

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

Autoři

LJUNGQVIST, Fredrik Charpentier (garant), Alma PIERMATTEI, Andrea SEIM, Paul J. KRUSIC, Ulf BÜNTGEN (276 Německo, domácí), Minhui HE, Alexander V. KIRDYANOV, Juerg LUTERBACHER, Lea SCHNEIDER, Kristina SEFTIGEN, David W. STAHLE, Ricardo VILLALBA, Bao YANG a Jan ESPER

Vydání

Quaternary Science Reviews, Oxford, Pergamon-Elsevier Science Ltd, 2020, 0277-3791

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10508 Physical geography

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.112

Kód RIV

RIV/00216224:14310/20:00117011

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000514754000004

Klíčová slova anglicky

Paleoclimate; Dendrochronology; Dendroclimatology; Hydroclimate; Proxy data; Past millennium; Climate change

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 20. 11. 2020 13:58, Mgr. Marie Šípková, DiS.

Anotace

V originále

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.