Tree-ring δ18O from Southeast China reveals monsoon precipitation and ENSO variability

Tree-ring δ18O from Southeast China reveals monsoon precipitation and ENSO variability
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中国东南部树轮δ18O揭示季风降水和ENSO变化

DOI:
10.1016/j.palaeo.2020.109954
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发表时间:
2020-11
期刊:
Palaeogeography, Palaeoclimatology, Palaeoecology
影响因子:
--
通讯作者:
Huayu Lu
Huayu Lu
中科院分区:
其他
文献类型:
--
作者:
Shiyuan Shi;Jiangfeng Shi;Chenxi Xu;Steven W. Leavitt;William E. Wright;Zhongyin Cai;Hongyan Zhang;Xuguang Sun;Yesi Zhao;Xiaoqi Ma;Weijie Zhang;Huayu Lu

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利用树木年轮δ 18 O进行气候重建在东亚夏季风区的中国东南部取得了很大进展。然而,树木年轮纤维素δ 18 O(δ 18 Ocell)与当地水文气候、降水δ 18 O(δ 18 Opre)和厄尔尼诺-南方涛动(ENSO)之间的关系尚未完全解决。通常的解释是当地水文气候通过对δ 18 Opre的“量效应”和蒸发富集作用影响δ 18 Ocell,但这不能完全解释δ 18 Ocell年代学的高度站间相关性及其对ENSO的响应模式。本研究利用新近建立的浙江省马尾松(Pinus massoniana)δ 18 Ocell年代学,结合中国东南部的另外三个δ 18 Ocell年代学,从区域角度探讨了它们的气候意义。结果表明,除局地水文气候外,δ 18 Opre与δ 18 Ocell也存在显著相关,但影响程度不同。δ 18 O值的空间均一性导致不同地点δ 18 O值之间的空间相关性较高。分析表明,ENSO变化通过调制δ 18 Opre,导致δ 18 Ocell中的大尺度共同信号。因此,将不同地点的δ 18 Ocell年表结合起来,可以增强ENSO信号,为重建古ENSO活动提供了新的机会。从δ 18 Ocell中剔除与生长季水文气候无关的ENSO信号,可以增加观测值的解释方差。这些结果为今后利用δ 18 Ocell进行ENSO和局地古气候重建提供了指导。
Considerable advances have been made in use of tree-ring δ18O for climate reconstructions in Southeast China, the East Asian summer monsoon region. However, the relationships among tree-ring cellulose δ18O (δ18Ocell), local hydroclimate, precipitation δ18O (δ18Opre) and El Niño–Southern Oscillation (ENSO) have not yet been fully resolved. The usual interpretation has been that local hydroclimate influences δ18Ocellthrough both the “amount effect” on δ18Opreand evaporative enrichment, but it cannot fully explain the high inter-site correlation of δ18Ocellchronologies or their response pattern to ENSO. In this study, we use a newly-developed δ18Ocellchronology ofPinus massonianafrom a water-stressed site in Zhejiang province, in combination with another three δ18Ocellchronologies in Southeast China, to investigate their climatic implications from a regional perspective. The results show that besides local hydroclimate, δ18Opreis also significantly correlated with δ18Ocell, but with different effects. Spatially homogeneous δ18Oprevariation causes high spatial correlations among δ18Ocellfrom different sites. Analyses show that ENSO variations are responsible for the large-scale common signals in δ18Ocellby modulating δ18Opre. Therefore, combining δ18Ocellchronologies from different locations can enhance ENSO signals, which provides us new opportunities to reconstruct paleo-ENSO activities. Furthermore, eliminating the part of ENSO signal that is not related to the growing season hydroclimate from δ18Ocellcan increase the explained variance of observed values. These findings provide a guide for future optimized ENSO and local paleoclimate reconstructions using δ18Ocell.
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