@article{10272/17807,
year = {2019},
url = {http://hdl.handle.net/10272/17807},
abstract = {X‐ray microdensitometry on annually resolved tree‐ring samples has gained an exceptional position in last‐millennium paleoclimatology through the maximum latewood density (MXD) parameter, but also increasingly through other density parameters. For 50 years, X‐ray based measurement techniques have been the de facto standard. However, studies report offsets in the mean levels for MXD measurements derived from different laboratories, indicating challenges of accuracy and precision. Moreover, reflected visible light‐based techniques are becoming increasingly popular, and wood anatomical techniques are emerging as a potentially powerful pathway to extract density information at the highest resolution. Here we review the current understanding and merits of wood density for tree‐ring research, associated microdensitometric techniques, and analytical measurement challenges. The review is further complemented with a careful comparison of new measurements derived at 17 laboratories, using several different techniques. The new experiment allowed us to corroborate and refresh “long‐standing wisdom” but also provide new insights. Key outcomes include (i) a demonstration of the need for mass/volume‐based recalibration to accurately estimate average ring density; (ii) a substantiation of systematic differences in MXD measurements that cautions for great care when combining density data sets for climate reconstructions; and (iii) insights into the relevance of analytical measurement resolution in signals derived from tree‐ring density data. Finally, we provide recommendations expected to facilitate future inter‐comparability and interpretations for global change research.},
organization = {Swiss National Science Foundation (Grants iTREE CRSII3_136295 and P300P2_154543). Transnational Access to Research Infrastructures activity in the 7th Framework Programme of the EC under the Trees4Future project (284181). Swiss State Secretariat for Education, Research and Innovation SERI (SBFI C14.0104). Swiss National Science Foundation (SNSF; Project XELLCLIM 200021_182398). EVA4.0 project (CZ.02.1.01/0.0/0.0/16_019/0000803). Swiss National Science Foundation (Grants 150205 and LOTFOR). Ghent University Special Research Fund PhD grant (BOF.
DOC.2014.0037.01). National Science Centre project DEC‐2013/11/B/ST10/04764 (Poland). IJCI‐2015‐25845, FEDER funds. Russian Science Foundation (Project 18‐14‐00072). German Science Foundation (Grants Inst 247/665‐1 FUGG, ES 161/9‐1, and HA 8048/1‐1). Leibnitz Association (project BaltRap) and German Science Foundation (Grants Inst 247/665‐1 FUGG, ES 161/9‐1, and Wi 2680/8‐1). Austrian Science Fund FWF (Grant I 1183‐N19). U.S. National Science Foundation (NSF) Grants AGS‐15‐02150, PLR‐15‐04134, PLR‐16‐03473. Project “SustES ‐ Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions” (CZ.02.1.01/0.0/0.0/16_019/0000797). NERC Grant NE/K003097/1. UK NERC (NE/P011527/1), EU project “Millennium” (017008). U.S. NSF CAREER Grant AGS‐1349942.},
title = {Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry},
doi = {10.1029/2019RG000642},
author = {Björklund, J. and von Arx, G. and Nievergelt, D. and Wilson, R. and Van den Bulcke, J. and Günther, B. and Loader, N. J. and Rydval, M. and Fonti, P. and Scharnweber, T. and Andreu‐Hayles, L. and Büntgen, U. and D'Arrigo, R. and Davi, N. and De Mil, T. and Esper, J. and Gärtner, H. and Geary, J. and Gunnarson, B. E. and Hartl, C. and Hevia Cabal, Andrea and Song, H. and Janecka, K. and Kaczka, R. J. and Kirdyanov, A. V. and Kochbeck, M. and Liu, Y. and Meko, M. and Mundo, I. and Nicolussi, K. and Oelkers, R. and Pichler, T. and Sánchez‐Salguero, R. and Schneider, L. and Schweingruber, F. and Timonen, M. and Trouet, V. and Van Acker, J. and Verstege, A. and Villalba, R. and Wilmking, M. and Frank, D.},
}