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Scientific merits and analytical challenges of tree-ring densitometry
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dc.contributor.author | Björklund, J. | |
dc.contributor.author | von Arx, G. | |
dc.contributor.author | Nievergelt, D. | |
dc.contributor.author | Wilson, R. | |
dc.contributor.author | Van den Bulcke, J. | |
dc.contributor.author | Günther, B. | |
dc.contributor.author | Loader, N.J. | |
dc.contributor.author | Rydval, M. | |
dc.contributor.author | Fonti, P. | |
dc.contributor.author | Scharnweber, T. | |
dc.contributor.author | Andreu-Hayles, L. | |
dc.contributor.author | Büntgen, U. | |
dc.contributor.author | D'Arrigo, R. | |
dc.contributor.author | Davi, N. | |
dc.contributor.author | De Mil, T. | |
dc.contributor.author | Esper, J. | |
dc.contributor.author | Gärtner, H. | |
dc.contributor.author | Geary, J. | |
dc.contributor.author | Gunnarson, B.E. | |
dc.contributor.author | Hartl, C. | |
dc.contributor.author | Hevia, A. | |
dc.contributor.author | Song, H. | |
dc.contributor.author | Janecka, K. | |
dc.contributor.author | Kaczka, R.J. | |
dc.contributor.author | Kirdyanov, A.V. | |
dc.contributor.author | Kochbeck, M. | |
dc.contributor.author | Liu, Y. | |
dc.contributor.author | Meko, M. | |
dc.contributor.author | Mundo, I. | |
dc.contributor.author | Nicolussi, K. | |
dc.contributor.author | Oelkers, R. | |
dc.contributor.author | Pichler, T. | |
dc.contributor.author | Sánchez-Salguero, R. | |
dc.contributor.author | Schneider, L. | |
dc.contributor.author | Schweingruber, F. | |
dc.contributor.author | Timonen, M. | |
dc.contributor.author | Trouet, V. | |
dc.contributor.author | Van Acker, J. | |
dc.contributor.author | Verstege, A. | |
dc.contributor.author | Villalba, R. | |
dc.contributor.author | Wilmking, M. | |
dc.contributor.author | Frank, D. | |
dc.date.accessioned | 2020-05-25T23:37:39Z | |
dc.date.available | 2020-05-25T23:37:39Z | |
dc.date.issued | 2019-11-26 | |
dc.identifier | 261946744 | |
dc.identifier | 9f87b1c2-8b7e-4813-91ca-07ba50d80788 | |
dc.identifier | 85075217710 | |
dc.identifier | 000499757600001 | |
dc.identifier.citation | Björklund , J , von Arx , G , Nievergelt , D , Wilson , R , Van den Bulcke , J , Günther , B , Loader , N J , Rydval , M , Fonti , P , Scharnweber , T , Andreu-Hayles , L , Büntgen , U , D'Arrigo , R , Davi , N , De Mil , T , Esper , J , Gärtner , H , Geary , J , Gunnarson , B E , Hartl , C , Hevia , A , Song , H , Janecka , K , Kaczka , R J , Kirdyanov , A V , Kochbeck , M , Liu , Y , Meko , M , Mundo , I , Nicolussi , K , Oelkers , R , Pichler , T , Sánchez-Salguero , R , Schneider , L , Schweingruber , F , Timonen , M , Trouet , V , Van Acker , J , Verstege , A , Villalba , R , Wilmking , M & Frank , D 2019 , ' Scientific merits and analytical challenges of tree-ring densitometry ' , Reviews of Geophysics , vol. Early View . https://doi.org/10.1029/2019RG000642 | en |
dc.identifier.issn | 8755-1209 | |
dc.identifier.other | RIS: urn:E9F919A88FBF9FD674EB4C2341CAF215 | |
dc.identifier.uri | https://hdl.handle.net/10023/19992 | |
dc.description | R.W. was supported by NERC grant NE/K003097/1. | en |
dc.description.abstract | X-ray microdensitometry on annually-resolved tree-ring samples has gained an exceptional position in last-millennium paleoclimatology through the maximum latewood density parameter (MXD), but also increasingly through other density parameters. For fifty 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 re-calibration to accurately estimate average ring density; ii) a substantiation of systematic differences in MXD measurements that cautions for great care when combining density datasets 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. | |
dc.format.extent | 41 | |
dc.format.extent | 23335893 | |
dc.language.iso | eng | |
dc.relation.ispartof | Reviews of Geophysics | en |
dc.subject | Microdensitometry | en |
dc.subject | Maximum latewood density (MXD) | en |
dc.subject | X-ray densitometry | en |
dc.subject | Anatomical density | en |
dc.subject | Blue intensity | en |
dc.subject | Paleoclimatology | en |
dc.subject | GE Environmental Sciences | en |
dc.subject.lcc | GE | en |
dc.title | Scientific merits and analytical challenges of tree-ring densitometry | en |
dc.type | Journal item | en |
dc.contributor.sponsor | NERC | en |
dc.contributor.institution | University of St Andrews. School of Earth & Environmental Sciences | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. St Andrews Sustainability Institute | en |
dc.identifier.doi | 10.1029/2019RG000642 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2020-05-26 | |
dc.identifier.grantnumber | NE/K003097/1 | en |
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