Ranking of tree-ring based hydroclimate reconstructions of the past millennium
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https://www.sciencedirect.com/science/article/pii/S0277379119306523?via%3Dihubhttps://elib.sfu-kras.ru/handle/2311/143134
Автор:
Fredrik Charpentier Ljungqvist Alma Piermattei Andrea Seim Paul J. Krusic
Ulf Büntgen Minhui He Alexander V. Kirdyanov Jürg Luterbacher
Lea Schneider Kristina Seftigen David W. Stahle Ricardo Villalba Bao Yang Jan Esper
Коллективный автор:
Институт экологии и географии
Лаборатория комплексных исследований динамики лесов Евразии
Дата:
2020-02Журнал:
Quaternary Science ReviewsКвартиль журнала в Scopus:
Q1Квартиль журнала в Web of Science:
Q1Библиографическое описание:
Fredrik Charpentier Ljungqvist Alma Piermattei Andrea Seim Paul J. Krusic. Ranking of tree-ring based hydroclimate reconstructions of the past millennium [Текст] / Fredrik Charpentier Ljungqvist Alma Piermattei Andrea Seim Paul J. Krusic, Ulf Büntgen Minhui He Alexander V. Kirdyanov Jürg Luterbacher, Lea Schneider Kristina Seftigen David W. Stahle Ricardo Villalba Bao Yang Jan Esper // Quaternary Science Reviews. — 2020. — Т. 230. — С. 1-26Аннотация:
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 treering 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.