Climate environmental change and stable carbon isotopes in age layers of<i>Tamarix</i>sand-hillocks in Kumtag desert

Jinchun, 张锦春 Zhang; Tuo, 姚拓 Yao; Changzhong, 刘长仲 Liu; Shizeng, 刘世增 Liu; Tao, 孙涛 Sun; Hongbo, 袁宏波 Yuan; Jinnian, 唐进年 Tang; Feng, 丁峰 Ding; Xuemin, 李学敏 Li; Rui, 刘瑞 Liu; Dewei, 宋德伟 Song

doi:10.5846/stxb201210081381

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As one special biogeomorphology, Tamarix cones are shrub dunes formed by the deposition of eolian sand and Tamarix leaves around Tamarix [2]. Tamarix cones were first introduced in 2004 for dating and environmental indication [3], then a series of studies on climate and environment have been carried out in the desert areas of Xinjiang using Tamarix cones as a dating tool and information carrier [4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Currently, the application of climate proxies for Tamarix cones is mainly in the following two ways. The first one is to reconstruct climate sequence by correlation analysis and stepwise regression using only one single or single group of climate proxies [4][5][6][7][8][10][11][12][13][14]. Another method is to use multisingle or multigroup of climate proxies to reconstruct climate sequences through correlation analysis and stepwise regression [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Temperature Reconstruction in the Southern Margin of Taklimakan Desert from Tamarix Cones Using GWO-SVM Model

Wang

Cui

et al. 2023

Sustainability

View full text Add to dashboard Cite

The sedimentary laminae of Tamarix cones in arid regions are of great significance for dating and climatic reconstruction. Here, we present a multiproxy climatic record from the Tamarix cones in the southern margin of the Taklimakan Desert. Both the bivariate analysis and canonical correlation analysis were carried out for four groups of climate proxies in Tamarix cones, including organic matter content, grain size, cation content, and stable isotope content (δ13C, and δ18O). The temperature during the period from 1790 to 2010 AD has been reconstructed using the support vector machine optimized by the grey wolf optimizer, in which the climate proxies (TN, TOC, C/N, Mg2+, Ca2+, δ13C, and δ18O) were selected using the neighborhood rough set. The reconstructed values are in good agreement with the instrumental data. The regional temperature has distinct stages during the period from 1790 to 2010 AD, with cold conditions during 1790–1840 AD and 1896–1939 AD, and with warm conditions during 1841–1895 AD and 1940–2010 AD. The present work is beneficial to predict the future climate in the local area and encourage local governments to develop more effective measures to address the risks of climate change to environmental sustainability.

show abstract