Sampling strategy and climatic implication of tree-ring cellulose oxygen isotopes of Hippophae tibetana and Abies georgei on the southeastern Tibetan ... View Full Text


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Article Info

DATE

2017-05-10

AUTHORS

Chenxi Xu, Haifeng Zhu, Takeshi Nakatsuka, Masaki Sano, Zhen Li, Feng Shi, Eryuan Liang, Zhengtang Guo

ABSTRACT

The tree-ring cellulose oxygen isotopes (δ18O) for four trees of Hippophae tibetana and four trees of Abies georgei growing in different locations around the terminal moraine in Xincuo from 1951 to 2010 were measured to explore its potential for reconstructing climatic variations in the southeastern Tibetan Plateau. The mean and standard deviation of tree-ring δ18O at different heights do not have significant differences, and there are no significant differences in the mean and standard deviation of tree-ring δ18O between trees near the brook and trees at the top of moraine, indicating that we can collect samples for tree-ring δ18O analysis regardless of sampling heights and that the micro-environment does not affect tree-ring δ18O significantly. The mean inter-series correlations of cellulose δ18O for A. georgei/H. tibetana are 0.84/0.93, and the correlation between δ18O for A. georgei and H. tibetana is 0.92. The good coherence between inter-tree and inter-species cellulose δ18O demonstrates the possibility of using different species to develop a long chronology. Correlation analysis between tree-ring δ18O and climate parameters revealed that δ18O for A. georgei/H. tibetana had negative correlations (r = −0.62/r = −0.69) with relative humidity in July–August, and spatial correlation revealed that δ18O for A. georgei/H. tibetana reflected the regional Standardized Precipitation Evapotranspiration Index (29°–32° N, 88°–98° E). In addition, tree-ring δ18O in Xincuo has a significant correlation with tree-ring δ18O in Bhutan. The results indicate that cellulose δ18O for A. georgei and H. tibetana in Xincuo is a good proxy for the regional hydroclimate. More... »

PAGES

679-686

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00484-017-1365-6

DOI

http://dx.doi.org/10.1007/s00484-017-1365-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085385172

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28493142


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