Xiang-Jun Liu

Dr. Xiang-Jun Liu


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 October 2020 in Science Advances
Verified
Journal Article
Open access
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NBN. Barbolini
N. Barbolini
AWAmber Woutersen
Amber Woutersen
GDG. Dupont-Nivet
G. Dupont-Nivet
DSD. Silvestro
D. Silvestro
DTD. Tardif
D. Tardif
CHC. Hoorn
C. Hoorn
The steppe-desert is much older than previously thought, but has evolved substantially from the Paleogene to the present.

23 April 2015 in Journal of Quaternary Science
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Journal Article
Closed access
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XLXiang-Jun Liu
Xiang-Jun Liu
ZLZhongping Lai
Zhongping Lai
DMDavid Madsen
David Madsen
FZFangming Zeng
Fangming Zeng

11 April 2013 in International Journal of Earth Sciences
Verified
Journal Article
Closed access
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XLXiang-Jun Liu
Xiang-Jun Liu
ZLZhongping Lai
Zhongping Lai
FZFang-Ming Zeng
Fang-Ming Zeng
DMDavid B. Madsen
David B. Madsen
CEChong-Yi E
Chong-Yi E

1 June 2017 in Earth and Planetary Science Letters
Verified
Journal Article
Closed access
LLLe Li
Le Li
XLXiang-Jun Liu
Xiang-Jun Liu
TLTao Li
Tao Li
LLLaifeng Li
Laifeng Li
LZLiang Zhao
Liang Zhao
GLGaojun Li
Gaojun Li

21 May 2023 in Remote Sensing
Verified
Journal Article
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YRYu Ren
Yu Ren
XLXiang-Jun Liu
Xiang-Jun Liu
BZbo Zhang
bo Zhang
Xidong ChenXidong Chen
Xidong Chen
Desertification, a current serious global environmental problem, has caused ecosystems and the environment to degrade. The total area of desertified land is about 1.72 million km2 in China, which is extensively affected by desertification. Estimating land desertification risks is the top priority for the sustainable development of arid and semi-arid lands in China. In this study, the Mediterranean Desertification and Land Use (MEDALUS) model was used to assess the sensitivity of land desertification in China. Based on multi-source remote sensing data, this study integrated natural and human factors, calculated the land desertification sensitivity index by overlaying four indicators (soil quality, vegetation quality, climate quality, and management quality), and explored the driving forces of desertification using a principal component and correlation analysis. It was found that the spatial distribution of desertification sensitivity areas in China shows a distribution pattern of gradually decreasing from northwest to southeast, and the areas with very high and high desertification sensitivities were about 620,629 km2 and 2,384,410 km2, respectively, which accounts for about 31.84% of the total area of the country. The very high and high desertification sensitivity areas were mainly concentrated in the desert region of northwest China. The principal component and correlation analysis of the sub-indicators in the MEDALUS model indicated that erosion protection, drought resistance, and land use were the main drivers of desertification in China. Furthermore, the aridity index, soil pH, plant coverage, soil texture, precipitation, soil depth, and evapotranspiration were the secondary drivers of desertification in China. Moreover, the desertification sensitivity caused by drought resistance, erosion protection, and land use was higher in the North China Plain region and Guanzhong Basin. The results of the quantitative analysis of the driving forces of desertification based on mathematical statistical methods in this study provide a reference for a comprehensive strategy to combat desertification in China and offer new ideas for the assessment of desertification sensitivity at macroscopic scales.

1 March 2021 in Paleoceanography and Paleoclimatology
Verified
Journal Article
Open access
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NMNiels Meijer
Niels Meijer
GDGuillaume Dupont‐Nivet
Guillaume Dupont‐Nivet
NBNatasha Barbolini
Natasha Barbolini
AWAmber Woutersen
Amber Woutersen
ARAlexander Rohrmann
Alexander Rohrmann
NNNorbert Nowaczyk
Norbert Nowaczyk
Asian mineral dust has been studied extensively for its role in affecting regional‐to global‐scale climate and for its deposits, which enable reconstructing Asian atmospheric circulation in the past. However, the timing and origin of the dust deposits remain debated. Numerous loess records have been reported across the Asian continent with ages varying from the Miocene to the Eocene and linked to various mechanisms including global cooling, Tibetan Plateau uplift and retreat of the inland proto‐Paratethys Sea. Here, we study the Eocene terrestrial mudrocks of the Xining Basin in central China and use nonparametric end‐member analysis of grain‐size distributions to identify a loess‐like dust component appearing in the record at 40 Ma. This is coeval with the onset of high‐latitude orbital cycles and a shift to predominant steppe‐desert vegetation as recognized by previous studies in the same record. Furthermore, we derive wind directions from eolian dune deposits which suggest northwesterly winds, similar to the modern‐day winter monsoon which is driven by a high pressure system developing over Siberia. We propose that the observed shifts at 40 Ma reflect the onset of the Siberian High interacting with westerly derived moisture at obliquity timescales and promoting dust storms and aridification in central China. The timing suggests that the onset may have been triggered by increased continentality due to the retreating proto‐Paratethys Sea.