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

• Autores: Charpentier Ljungqvist, Fredrik; Piermattei, Alma; Seim, Andrea; Krusic, Paul J.; Büntgen, Ulf; He, Minhui; Kirdyanov, Alexander V.; Luterbacher, Jürg; Schneider, Lea; Seftigen, Kristina; Stahle, David W.; Villalba, Ricardo; Yang, Bao; Esper, Jan
• Año de publicación: 2020
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: CLIMATE CHANGE; DENDROCHRONOLOGY; DENDROCLIMATOLOGY; HYDROCLIMATE; PALEOCLIMATE; PAST MILLENNIUM; PROXY DATA
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

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.
Fil: Charpentier Ljungqvist, Fredrik. Stockholms Universitet; Suecia
Fil: Piermattei, Alma. University of Cambridge; Estados Unidos
Fil: Seim, Andrea. Albert Ludwig University of Freiburg; Alemania
Fil: Krusic, Paul J.. University of Cambridge; Estados Unidos. Stockholms Universitet; Suecia
Fil: Büntgen, Ulf. University of Cambridge; Estados Unidos. Masaryk University; República Checa. CZECH ACADEMY OF SCIENCES (AVCR);
Fil: He, Minhui. Northwest Agriculture and Forestry University; China
Fil: Kirdyanov, Alexander V.. University of Cambridge; Estados Unidos
Fil: Luterbacher, Jürg. Justus Liebig University; Alemania
Fil: Schneider, Lea. Justus Liebig University; Alemania
Fil: Seftigen, Kristina. University Goteborg; Suecia. Université Catholique de Louvain; Bélgica
Fil: Stahle, David W.. University of Arkansas for Medical Sciences; Estados Unidos
Fil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Yang, Bao. Chinese Academy of Sciences; República de China
Fil: Esper, Jan. Johannes Gutenberg Universitat Mainz; Alemania