兰州大学机构库
Quantitative estimates of Holocene precipitation from aeolian sand-palaeosol sequences across the Ordos Plateau, northern China, based on surface soil geochemistry
Liu, Bing1; Zhao, Hui1; Jin, Heling1; Liang, Aimin2; Sun, Aijun1,3; Zhang, Xiaomei1; Zhang, Caixia1; Jin, Jianhui4; Yang, Hongyu1; Li, Sen1
2023-08
Online publication date2023-05
Source PublicationCATENA   Impact Factor & Quartile
ISSN0341-8162
Volume229
page numbers13
AbstractQuantitative precipitation reconstructions are important for studies of past Earth surface processes and for predicting future trends, especially in the semi-arid region of northern China, where the dune fields landscape is dominated by shifts of the Asian summer monsoonal boundary. However, the relationships between desert de-posits and climatic factors are controversial and it remains unclear how these relationships can be used for quantitative paleoenvironmental reconstruction. We investigated the relationship between the degree of chemical weathering of surface soil, quantified using the Chemical Index of Alteration (CIA) and modern climatic variables, along transects across the Ordos Plateau. The relationship was then used to obtain quantitative esti-mates of Holocene mean annual precipitation (MAP) from aeolian sand-palaeosol sequences in this region. The results reveal that MAP is the dominant climatic variable controlling the chemical weathering of surface soil, accounting for -69-91% of the total explained variance. This robust relationship enabled us to establish a regional CIA-based transfer function to reconstruct the MAP. This relationship was confirmed by a study of Holocene climate change and chemical weathering of aeolian sequences across the Ordos Plateau, which indi-cated that paleo-precipitation explained -76-88% of the total explained variance. The reconstruction dem-onstrates that the MAP was respectively -60-103 mm and -21-63 mm lower in the early and late Holocene than the modern MAP, while it was -34-77 mm (-20-30%) higher in the middle Holocene than the modern MAP. Our results also demonstrate the latitudinal zonality of MAP evolution across the Ordos Plateau during the mid-Holocene. Overall, our findings provide new insights into the chemical weathering of surface soils and the response of Holocene aeolian deposits to climate change, and they confirm the utility of a geochemical proxy for quantitative environmental reconstruction in the semi-arid desert region of northern China.
KeywordChemical weathering Quantitative climatic reconstruction Aeolian sand-palaeosol sequences Holocene Ordos Plateau
PublisherELSEVIER
DOI10.1016/j.catena.2023.107232
Indexed BySCIE
Language英语
WOS Research AreaGeology ; Agriculture ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS IDWOS:001007119200001
Original Document TypeArticle
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/529898
Collection兰州大学
Corresponding AuthorZhao, Hui
Affiliation
1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecol Safety & Sustainable Dev Arid Lands, Lanzhou 730000, Peoples R China;
2.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710062, Peoples R China;
3.Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Peoples R China;
4.Fujian Normal Univ, Inst Geog, Fuzhou 350007, Peoples R China
Recommended Citation
GB/T 7714
Liu, Bing,Zhao, Hui,Jin, Heling,et al. Quantitative estimates of Holocene precipitation from aeolian sand-palaeosol sequences across the Ordos Plateau, northern China, based on surface soil geochemistry[J]. CATENA,2023,229.
APA Liu, Bing.,Zhao, Hui.,Jin, Heling.,Liang, Aimin.,Sun, Aijun.,...&Li, Sen.(2023).Quantitative estimates of Holocene precipitation from aeolian sand-palaeosol sequences across the Ordos Plateau, northern China, based on surface soil geochemistry.CATENA,229.
MLA Liu, Bing,et al."Quantitative estimates of Holocene precipitation from aeolian sand-palaeosol sequences across the Ordos Plateau, northern China, based on surface soil geochemistry".CATENA 229(2023).
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