globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.gloplacha.2016.03.010
论文题名:
Wood density provides new opportunities for reconstructing past temperature variability from southeastern Australian trees
作者: O'Donnell A.J.; Allen K.J.; Evans R.M.; Cook E.R.; Trouet V.; Baker P.J.
刊名: Global and Planetary Change
ISSN: 0921-8181
出版年: 2016
卷: 141
起始页码: 1
结束页码: 11
语种: 英语
英文关键词: Cell wall thickness ; SilviScan ; Southern Annular Mode ; Subtropical ridge ; Tasmania ; Tree-ring width
Scopus关键词: Repair ; Cell-wall thickness ; SilviScan ; Southern Annular Mode ; Subtropical ridge ; Tasmania ; Tree-ring width ; Forestry ; climate signal ; coniferous tree ; paleoclimate ; paleotemperature ; proxy climate record ; reconstruction ; Southern Hemisphere ; subtropical region ; tree ring ; Australasia ; Australia ; Tasmania ; Athrotaxis cupressoides ; Coniferophyta ; Lagarostrobos franklinii
英文摘要: Tree-ring based climate reconstructions have been critical for understanding past variability and recent trends in climate worldwide, but they are scarce in Australia. This is particularly the case for temperature: only one tree-ring width based temperature reconstruction - based on Huon Pine trees from Mt Read, Tasmania - exists for Australia. Here, we investigate whether additional tree-ring parameters derived from Athrotaxis cupressoides trees growing in the same region have potential to provide robust proxy records of past temperature variability.We measured wood properties, including tree-ring width (TRW), mean density, mean cell wall thickness (CWT), and tracheid radial diameter (TRD) of annual growth rings in Athrotaxis cupressoides, a long-lived, high-elevation conifer in central Tasmania, Australia. Mean density and CWT were strongly and negatively correlated with summer temperatures. In contrast, the summer temperature signal in TRW was weakly positive. The strongest climate signal in any of the tree-ring parameters was maximum temperature in January (mid-summer; JanTmax) and we chose this as the target climate variable for reconstruction. The model that explained most of the variance in JanTmax was based on TRW and mean density as predictors. TRW and mean density provided complementary proxies with mean density showing greater high-frequency (inter-annual to multi-year) variability and TRW showing more low-frequency (decadal to centennial-scale) variability. The final reconstruction model is robust, explaining 55% of the variance in JanTmax, and was used to reconstruct JanTmax for the last five centuries (1530-2010 C.E.). The reconstruction suggests that the most recent 60 years have been warmer than average in the context of the last ca. 500 years. This unusually warm period is likely linked to a coincident increase in the intensity of the subtropical ridge and dominance of the positive phase of the Southern Annular Mode in summer, which weaken the influence of the band of prevailing westerly winds and storms on Tasmanian climate. Our findings indicate that wood properties, such as mean density, are likely to provide significant contributions toward the development of robust climate reconstructions in the Southern Hemisphere and thus toward an improved understanding of past climate in Australasia. © 2016 Elsevier B.V.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963979419&doi=10.1016%2fj.gloplacha.2016.03.010&partnerID=40&md5=dabdebaaec51ec4409794d9151fe7177
Citation statistics:
被引频次[WOS]:13   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11678
Appears in Collections:全球变化的国际研究计划
气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: School of Plant Biology, University of Western Australia, Crawley, WA, Australia

Recommended Citation:
O'Donnell A.J.,Allen K.J.,Evans R.M.,et al. Wood density provides new opportunities for reconstructing past temperature variability from southeastern Australian trees[J]. Global and Planetary Change,2016-01-01,141.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[O'Donnell A.J.]'s Articles
[Allen K.J.]'s Articles
[Evans R.M.]'s Articles
百度学术
Similar articles in Baidu Scholar
[O'Donnell A.J.]'s Articles
[Allen K.J.]'s Articles
[Evans R.M.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[O'Donnell A.J.]‘s Articles
[Allen K.J.]‘s Articles
[Evans R.M.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.