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Early summer hydroclimatic signals are captured well by tree-ring earlywood width in the eastern Qinling Mountains, central China

机译:中国中部东部秦岭山脉的树木年轮早木宽度可以很好地捕获初夏的气候信号

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摘要

In the humid and semi-humid regions of China, tree-ring-width (TRW) chronologies offer limited moisture-related climatic information. To gather additional climatic information, it would be interesting to explore the potential of the intra-annul tree-ring-width indices (i.e., the earlywood width, EWW, and latewood width, LWW). To achieve this purpose, TRW, EWW, and LWW were measured from the tree-ring samples of Pinus tabuliformis originating from the semi-humid eastern Qinling Mountains, central China. Standard (STD) and signal-free (SSF) chronologies of all parameters were created using these detrending methods including (1) negative exponential functions combined with linear regression with negative (or zero) slope (NELR), (2) cubic smoothing splines with a 50% frequency cutoff at 67% of the series length (SP67), and (3) age-dependent splines with an initial stiffness of 50 years (SPA50). The results showed that EWW chronologies were significantly negatively correlated with temperature but positively correlated with precipitation and soil moisture conditions during the current early-growing season. By contrast, LWW and TRW chronologies had weaker relationships with these climatic factors. The strongest climatic signal was detected for the EWW STD chronology detrended with the NELR method, explaining 50% of the variance in the May-July self-calibrated Palmer Drought Severity Index (MJJ scPDSI) during the instrumental period 1953-2005. Based on this relationship, the MJJ scPDSI was reconstructed back to 1868 using a linear regression function. The reconstruction was validated by comparison with other hydroclimatic reconstructions and historical document records from adjacent regions. Our results highlight the potential of intra-annual tree-ring indices for reconstructing seasonal hydroclimatic variations in humid and semi-humid regions of China. Furthermore, our reconstruction exhibits a strong in-phase relationship with a newly proposed East Asian summer monsoon index (EASMI) before the 1940s on the decadal and longer timescales, which may be due to the positive response of the local precipitation to EASMI. Nonetheless, the cause for the weakened relationship after the 1940s is complex, and cannot be solely attributed to the changing impacts of precipitation and temperature.
机译:在中国的湿润和半湿润地区,年轮宽度(TRW)年代提供的与湿度有关的气候信息有限。为了收集更多的气候信息,探索环内年轮宽度指数(即早木宽度EWW和晚木宽度LWW)的潜力将是有趣的。为了实现这一目的,对源自中国中部东部半湿润东部秦岭的油松松树年轮样本进行了TRW,EWW和LWW的测量。使用这些去趋势方法创建了所有参数的标准(STD)和无信号(SSF)时序,包括(1)负指数函数与具有负(或零)斜率(NELR)的线性回归相结合,(2)具有在序列长度的67%处,频率截止值为50%(SP67),以及(3)年龄相关的花键,初始刚度为50年(SPA50)。结果表明,在当前早期生长季节,EWW时间与温度呈显着负相关,但与降水和土壤水分状况呈正相关。相比之下,LWW和TRW年表与这些气候因素的关系较弱。对于用NELR方法去趋势化的EWW STD年表,检测到最强的气候信号,这解释了在1953-2005年仪器化时期5月至7月自校准的Palmer干旱严重程度指数(MJJ scPDSI)中的50%的变化。基于此关系,使用线性回归函数将MJJ scPDSI重建到1868年。通过与其他水文气候重建和邻近地区的历史文献记录进行比较,对重建进行了验证。我们的结果突出了年轮年轮指数在重建中国湿润和半湿润地区季节性水文气候变化中的潜力。此外,我们的重建过程与年代际和更长的时间尺度上的1940年代之前新提出的东亚夏季风指数(EASMI)表现出很强的同相关系,这可能是由于当地降水对EASMI的积极响应。但是,在1940年代后关系减弱的原因是复杂的,不能仅仅归因于降水和温度变化的影响。

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  • 来源
    《Climate of the past》 |2019年第3期|1113-1131|共19页
  • 作者单位

    Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China|Friedrich Alexander Univ Erlangen Nurnberg, Inst Geog, Erlangen, Germany;

    Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China|Univ Arizona, Lab Tree Ring Res, Tucson, AZ 85721 USA;

    Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Atmospher Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Friedrich Alexander Univ Erlangen Nurnberg, Inst Geog, Erlangen, Germany;

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