St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Evaluating the dendroclimatological potential of blue intensity on multiple conifer species from Australasia

Thumbnail
View/Open
Wilson_2021_Evaluating_the_dendroclimatological_Biogeosciences_18_24_6393_CCBY.pdf (15.35Mb)
Date
14/12/2021
Author
Wilson, Rob
Allen, Kathy
Baker, Patrick
Boswijk, Gretel
Buckley, Brendan
Cook, Edward
D'Arrigo, Rosanne
Druckenbrod, Dan
Fowler, Anthony
Grandjean, Margaux
Krusic, Paul
Palmer, Jonathan
Funder
NERC
Grant ID
NE/W007223/1
Keywords
GE Environmental Sciences
NDAS
Metadata
Show full item record
Altmetrics Handle Statistics
Altmetrics DOI Statistics
Abstract
We evaluate a range of blue intensity (BI) tree-ring parameters in eight conifer species (12 sites) from Tasmania and New Zealand for their dendroclimatic potential, and as surrogate wood anatomical proxies. Using a dataset of ca. 10–15 trees per site, we measured earlywood maximum blue intensity (EWB), latewood minimum blue intensity (LWB), and the associated delta blue intensity (DB) parameter for dendrochronological analysis. No resin extraction was performed, impacting low-frequency trends. Therefore, we focused only on the high-frequency signal by detrending all tree-ring and climate data using a 20-year cubic smoothing spline. All BI parameters express low relative variance and weak signal strength compared to ring width. Correlation analysis and principal component regression experiments identified a weak and variable climate response for most ring-width chronologies. However, for most sites, the EWB data, despite weak signal strength, expressed strong coherence with summer temperatures. Significant correlations for LWB were also noted, but the sign of the relationship for most species is opposite to that reported for all conifer species in the Northern Hemisphere. DB results were mixed but performed better for the Tasmanian sites when combined through principal component regression methods than for New Zealand. Using the full multi-species/parameter network, excellent summer temperature calibration was identified for both Tasmania and New Zealand ranging from 52 % to 78 % explained variance for split periods (1901–1950/1951–1995), with equally robust independent validation (coefficient of efficiency = 0.41 to 0.77). Comparison of the Tasmanian BI reconstruction with a quantitative wood anatomical (QWA) reconstruction shows that these parameters record essentially the same strong high-frequency summer temperature signal. Despite these excellent results, a substantial challenge exists with the capture of potential secular-scale climate trends. Although DB, band-pass, and other signal processing methods may help with this issue, substantially more experimentation is needed in conjunction with comparative analysis with ring density and QWA measurements.
Citation
Wilson , R , Allen , K , Baker , P , Boswijk , G , Buckley , B , Cook , E , D'Arrigo , R , Druckenbrod , D , Fowler , A , Grandjean , M , Krusic , P & Palmer , J 2021 , ' Evaluating the dendroclimatological potential of blue intensity on multiple conifer species from Australasia ' , Biogeosciences , vol. 18 , no. 24 , pp. 6393–6421 . https://doi.org/10.5194/bg-18-6393-2021
Publication
Biogeosciences
Status
Peer reviewed
DOI
https://doi.org/10.5194/bg-18-6393-2021
ISSN
1726-4170
Type
Journal article
Rights
Copyright © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
Description
Funding: Rob Wilson was funded through the University of Melbourne Dyason Fellowship in 2014 to undertake preliminary measurement and analyses for this study. We also acknowledge NSF-NERC funding (NE/W007223/1). Kathy Allen was supported by the Australian Research Council grants DP1201040320 and LP12020811 to Patrick Baker.
Collections
  • University of St Andrews Research
URL
https://doi.org/10.5194/bg-2021-119
URI
http://hdl.handle.net/10023/24520

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter