globalchange  > 影响、适应和脆弱性
DOI: 10.1088/1748-9326/aa5388
论文题名:
Cluster analysis and topoclimate modeling to examine bristlecone pine tree-ring growth signals in the Great Basin, USA
作者: Tyler J Tran; Jamis M Bruening; Andrew G Bunn; Matthew W Salzer; Stuart B Weiss
刊名: Environmental Research Letters
ISSN: 1748-9326
出版年: 2017
发表日期: 2017-01-10
卷: 12, 期:1
语种: 英语
英文摘要:

Tree rings have long been used to make inferences about the environmental factors that influence tree growth. Great Basin bristlecone pine is a long-lived species and valuable dendroclimatic resource, but often with mixed growth signals; in many cases, not all trees at one location are limited by the same environmental variable. Past work has identified an elevational threshold below the upper treeline above which trees are limited by temperature, and below which trees tend to be moisture limited. This study identifies a similar threshold in terms of temperature instead of elevation through fine-scale topoclimatic modeling, which uses a suite of topographic and temperature-sensor data to predict temperatures across landscapes. We sampled trees near the upper limit of growth at four high-elevation locations in the Great Basin region, USA, and used cluster analysis to find dual-signal patterns in radial growth. We observed dual-signal patterns in ring widths at two of those sites, with the signals mimicking temperature and precipitation patterns. Trees in temperature-sensitive clusters grew in colder areas, while moisture-sensitive cluster trees grew in warmer areas. We found thresholds between temperature- and moisture-sensitivity ranging from 7.4°C to 8°C growing season mean temperature. Our findings allow for a better physiological understanding of bristlecone pine growth, and seek to improve the accuracy of climate reconstructions.

URL: http://iopscience.iop.org/article/10.1088/1748-9326/aa5388
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/13536
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Tran_2017_Environ._Res._Lett._12_014007.pdf(4603KB)期刊论文作者接受稿开放获取View Download

作者单位: Department of Environmental Sciences, Western Washington University, Bellingham, WA 98225, United States; Department of Environmental Sciences, Western Washington University, Bellingham, WA 98225, United States; Department of Environmental Sciences, Western Washington University, Bellingham, WA 98225, United States; Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ 85721, United States; Creekside Center for Earth Observation, Menlo Park, CA 94025, United States

Recommended Citation:
Tyler J Tran,Jamis M Bruening,Andrew G Bunn,et al. Cluster analysis and topoclimate modeling to examine bristlecone pine tree-ring growth signals in the Great Basin, USA[J]. Environmental Research Letters,2017-01-01,12(1)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Tyler J Tran]'s Articles
[Jamis M Bruening]'s Articles
[Andrew G Bunn]'s Articles
百度学术
Similar articles in Baidu Scholar
[Tyler J Tran]'s Articles
[Jamis M Bruening]'s Articles
[Andrew G Bunn]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Tyler J Tran]‘s Articles
[Jamis M Bruening]‘s Articles
[Andrew G Bunn]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: Tran_2017_Environ._Res._Lett._12_014007.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

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