Monthly Precipitation Reconstruction in Subtropical South America Using Seasonal Tree‐Ring Oxygen Isotopes

Author:

Liu Sainan12,Xu Chenxi13ORCID,Fontana Cláudia4ORCID,An Wenling13,Tomazello‐Filho Mario4,Zhao Qingyu15,Zhao Yaru12ORCID,Liu Yucheng12,Guo Zhengtang13ORCID

Affiliation:

1. Key Laboratory of Cenozoic Geology and Environment Institute of Geology and Geophysics Chinese Academy of Sciences Beijing China

2. College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing China

3. CAS Center for Excellence in Life and Paleoenvironment Beijing China

4. Laboratory of Wood Anatomy, Identification and X‐ray Densitometry ESALQ/University of São Paulo (USP) Piracicaba Brazil

5. School of Earth Sciences China University of Geosciences Wuhan China

Abstract

AbstractThe South American Summer Monsoon (SASM) is one of the most important climate systems in the tropical and subtropical regions of South America, and transports Atlantic moisture to the South American continent. However, there are few high‐resolution tree ring based studies of the SASM due to the difficulty of crossdating and the lack of dependable moisture proxies based on tree‐ring width. In this study, we use intra‐annual tree‐ring oxygen isotope (δ18OTR) data (E.V.A 03w, E.V.Ar11e, E.V.Ar12e; the full name of sample code is Erval Velho ‐ Araucaria) for crossdating, and to extract climate signals and reconstruct monthly precipitation. Our data are from Araucaria angustifolia in southern Brazil, and each annual tree‐ring comprises four parts (parts 1, 2, 3, 4) during 1960–2016. The intra‐annual δ18OTR data show pronounced seasonal variations with a decreasing trend in the growing season. The intra‐annual δ18OTR data record variations in precipitation δ18O values, and the interannual δ18OTR data record a precipitation amount. The δ18OTR values of parts 1 and 2 of each ring show the strongest correlation with precipitation at the beginning of the SASM (i.e., December). δ18OTR values of Part 3 have the strongest correlation with precipitation during January–February, and those of Part 4 are strongly correlated with precipitation during February–June. The seasonal δ18OTR values can be used to reconstruct monthly precipitation in the growing season. Spatial correlations between monthly precipitation reconstruction and global sea surface temperatures reveal that EI Niño‐Southern Oscillation (ENSO) regulate seasonal precipitation and affect the δ18OTR values in southern Brazil.

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

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