No Cover Image

Journal article 344 views

Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry

J. Björklund Orcid Logo, G. Arx Orcid Logo, D. Nievergelt, R. Wilson Orcid Logo, J. Van den Bulcke Orcid Logo, B. Günther, Neil Loader Orcid Logo, M. Rydval Orcid Logo, P. Fonti Orcid Logo, T. Scharnweber Orcid Logo, L. Andreu‐Hayles Orcid Logo, U. Büntgen, R. D'Arrigo, N. Davi, T. De Mil, J. Esper, H. Gärtner Orcid Logo, J. Geary, B. E. Gunnarson, C. Hartl, A. Hevia, H. Song, K. Janecka, R. J. Kaczka, A. V. Kirdyanov, M. Kochbeck, Y. Liu, M. Meko, I. Mundo Orcid Logo, K. Nicolussi Orcid Logo, R. Oelkers, T. Pichler, R. Sánchez‐Salguero, L. Schneider, F. Schweingruber, M. Timonen Orcid Logo, V. Trouet Orcid Logo, J. Van Acker Orcid Logo, A. Verstege, R. Villalba Orcid Logo, M. Wilmking, D. Frank

Reviews of Geophysics, Volume: 57, Issue: 4, Pages: 1224 - 1264

Swansea University Author: Neil Loader Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1029/2019rg000642

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 be...

Full description

Published in: Reviews of Geophysics
ISSN: 8755-1209 1944-9208
Published: American Geophysical Union (AGU) 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa52898
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-03-13T15:19:17Z
last_indexed 2023-03-14T04:07:02Z
id cronfa52898
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-03-13T15:19:18.9244424</datestamp><bib-version>v2</bib-version><id>52898</id><entry>2019-11-27</entry><title>Scientific Merits and Analytical Challenges of Tree&#x2010;Ring Densitometry</title><swanseaauthors><author><sid>8267a62100791965d08df6a7842676e6</sid><ORCID>0000-0002-6841-1813</ORCID><firstname>Neil</firstname><surname>Loader</surname><name>Neil Loader</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-11-27</date><deptcode>SGE</deptcode><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 &#x201C;long-standing wisdom&#x201D; 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 futureinter-comparability and interpretations for global change research.</abstract><type>Journal Article</type><journal>Reviews of Geophysics</journal><volume>57</volume><journalNumber>4</journalNumber><paginationStart>1224</paginationStart><paginationEnd>1264</paginationEnd><publisher>American Geophysical Union (AGU)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>8755-1209</issnPrint><issnElectronic>1944-9208</issnElectronic><keywords>Microdensitometry, maximum latewood density (MXD), X-ray densitometry, blue intensity, anatomical density, paleoclimatology</keywords><publishedDay>1</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-12-01</publishedDate><doi>10.1029/2019rg000642</doi><url>http://dx.doi.org/10.1029/2019rg000642</url><notes/><college>COLLEGE NANME</college><department>Geography</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SGE</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-03-13T15:19:18.9244424</lastEdited><Created>2019-11-27T14:16:14.7650556</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Geography</level></path><authors><author><firstname>J.</firstname><surname>Bj&#xF6;rklund</surname><orcid>0000-0003-4238-8173</orcid><order>1</order></author><author><firstname>G.</firstname><surname>Arx</surname><orcid>0000-0002-8566-4599</orcid><order>2</order></author><author><firstname>D.</firstname><surname>Nievergelt</surname><order>3</order></author><author><firstname>R.</firstname><surname>Wilson</surname><orcid>0000-0003-4486-8904</orcid><order>4</order></author><author><firstname>J. Van den</firstname><surname>Bulcke</surname><orcid>0000-0003-2939-5408</orcid><order>5</order></author><author><firstname>B.</firstname><surname>G&#xFC;nther</surname><order>6</order></author><author><firstname>Neil</firstname><surname>Loader</surname><orcid>0000-0002-6841-1813</orcid><order>7</order></author><author><firstname>M.</firstname><surname>Rydval</surname><orcid>0000-0001-5079-2534</orcid><order>8</order></author><author><firstname>P.</firstname><surname>Fonti</surname><orcid>0000-0002-7070-3292</orcid><order>9</order></author><author><firstname>T.</firstname><surname>Scharnweber</surname><orcid>0000-0002-4933-5296</orcid><order>10</order></author><author><firstname>L.</firstname><surname>Andreu&#x2010;Hayles</surname><orcid>0000-0003-4185-681x</orcid><order>11</order></author><author><firstname>U.</firstname><surname>B&#xFC;ntgen</surname><order>12</order></author><author><firstname>R.</firstname><surname>D'Arrigo</surname><order>13</order></author><author><firstname>N.</firstname><surname>Davi</surname><order>14</order></author><author><firstname>T. De</firstname><surname>Mil</surname><order>15</order></author><author><firstname>J.</firstname><surname>Esper</surname><order>16</order></author><author><firstname>H.</firstname><surname>G&#xE4;rtner</surname><orcid>0000-0001-6243-9578</orcid><order>17</order></author><author><firstname>J.</firstname><surname>Geary</surname><order>18</order></author><author><firstname>B. E.</firstname><surname>Gunnarson</surname><order>19</order></author><author><firstname>C.</firstname><surname>Hartl</surname><order>20</order></author><author><firstname>A.</firstname><surname>Hevia</surname><order>21</order></author><author><firstname>H.</firstname><surname>Song</surname><order>22</order></author><author><firstname>K.</firstname><surname>Janecka</surname><order>23</order></author><author><firstname>R. J.</firstname><surname>Kaczka</surname><order>24</order></author><author><firstname>A. V.</firstname><surname>Kirdyanov</surname><order>25</order></author><author><firstname>M.</firstname><surname>Kochbeck</surname><order>26</order></author><author><firstname>Y.</firstname><surname>Liu</surname><order>27</order></author><author><firstname>M.</firstname><surname>Meko</surname><order>28</order></author><author><firstname>I.</firstname><surname>Mundo</surname><orcid>0000-0002-7189-6073</orcid><order>29</order></author><author><firstname>K.</firstname><surname>Nicolussi</surname><orcid>0000-0002-1737-4119</orcid><order>30</order></author><author><firstname>R.</firstname><surname>Oelkers</surname><order>31</order></author><author><firstname>T.</firstname><surname>Pichler</surname><order>32</order></author><author><firstname>R.</firstname><surname>S&#xE1;nchez&#x2010;Salguero</surname><order>33</order></author><author><firstname>L.</firstname><surname>Schneider</surname><order>34</order></author><author><firstname>F.</firstname><surname>Schweingruber</surname><order>35</order></author><author><firstname>M.</firstname><surname>Timonen</surname><orcid>0000-0002-7982-1527</orcid><order>36</order></author><author><firstname>V.</firstname><surname>Trouet</surname><orcid>0000-0002-2683-8704</orcid><order>37</order></author><author><firstname>J. Van</firstname><surname>Acker</surname><orcid>0000-0002-8961-0176</orcid><order>38</order></author><author><firstname>A.</firstname><surname>Verstege</surname><order>39</order></author><author><firstname>R.</firstname><surname>Villalba</surname><orcid>0000-0001-8183-0310</orcid><order>40</order></author><author><firstname>M.</firstname><surname>Wilmking</surname><order>41</order></author><author><firstname>D.</firstname><surname>Frank</surname><order>42</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2023-03-13T15:19:18.9244424 v2 52898 2019-11-27 Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry 8267a62100791965d08df6a7842676e6 0000-0002-6841-1813 Neil Loader Neil Loader true false 2019-11-27 SGE 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 futureinter-comparability and interpretations for global change research. Journal Article Reviews of Geophysics 57 4 1224 1264 American Geophysical Union (AGU) 8755-1209 1944-9208 Microdensitometry, maximum latewood density (MXD), X-ray densitometry, blue intensity, anatomical density, paleoclimatology 1 12 2019 2019-12-01 10.1029/2019rg000642 http://dx.doi.org/10.1029/2019rg000642 COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2023-03-13T15:19:18.9244424 2019-11-27T14:16:14.7650556 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography J. Björklund 0000-0003-4238-8173 1 G. Arx 0000-0002-8566-4599 2 D. Nievergelt 3 R. Wilson 0000-0003-4486-8904 4 J. Van den Bulcke 0000-0003-2939-5408 5 B. Günther 6 Neil Loader 0000-0002-6841-1813 7 M. Rydval 0000-0001-5079-2534 8 P. Fonti 0000-0002-7070-3292 9 T. Scharnweber 0000-0002-4933-5296 10 L. Andreu‐Hayles 0000-0003-4185-681x 11 U. Büntgen 12 R. D'Arrigo 13 N. Davi 14 T. De Mil 15 J. Esper 16 H. Gärtner 0000-0001-6243-9578 17 J. Geary 18 B. E. Gunnarson 19 C. Hartl 20 A. Hevia 21 H. Song 22 K. Janecka 23 R. J. Kaczka 24 A. V. Kirdyanov 25 M. Kochbeck 26 Y. Liu 27 M. Meko 28 I. Mundo 0000-0002-7189-6073 29 K. Nicolussi 0000-0002-1737-4119 30 R. Oelkers 31 T. Pichler 32 R. Sánchez‐Salguero 33 L. Schneider 34 F. Schweingruber 35 M. Timonen 0000-0002-7982-1527 36 V. Trouet 0000-0002-2683-8704 37 J. Van Acker 0000-0002-8961-0176 38 A. Verstege 39 R. Villalba 0000-0001-8183-0310 40 M. Wilmking 41 D. Frank 42
title Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry
spellingShingle Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry
Neil Loader
title_short Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry
title_full Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry
title_fullStr Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry
title_full_unstemmed Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry
title_sort Scientific Merits and Analytical Challenges of Tree‐Ring Densitometry
author_id_str_mv 8267a62100791965d08df6a7842676e6
author_id_fullname_str_mv 8267a62100791965d08df6a7842676e6_***_Neil Loader
author Neil Loader
author2 J. Björklund
G. Arx
D. Nievergelt
R. Wilson
J. Van den Bulcke
B. Günther
Neil Loader
M. Rydval
P. Fonti
T. Scharnweber
L. Andreu‐Hayles
U. Büntgen
R. D'Arrigo
N. Davi
T. De Mil
J. Esper
H. Gärtner
J. Geary
B. E. Gunnarson
C. Hartl
A. Hevia
H. Song
K. Janecka
R. J. Kaczka
A. V. Kirdyanov
M. Kochbeck
Y. Liu
M. Meko
I. Mundo
K. Nicolussi
R. Oelkers
T. Pichler
R. Sánchez‐Salguero
L. Schneider
F. Schweingruber
M. Timonen
V. Trouet
J. Van Acker
A. Verstege
R. Villalba
M. Wilmking
D. Frank
format Journal article
container_title Reviews of Geophysics
container_volume 57
container_issue 4
container_start_page 1224
publishDate 2019
institution Swansea University
issn 8755-1209
1944-9208
doi_str_mv 10.1029/2019rg000642
publisher American Geophysical Union (AGU)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
url http://dx.doi.org/10.1029/2019rg000642
document_store_str 0
active_str 0
description 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 futureinter-comparability and interpretations for global change research.
published_date 2019-12-01T04:05:33Z
_version_ 1763753415954923520
score 11.016235

Similar Items