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Using Blue Intensity from drought-sensitive Pinus sylvestris in Fennoscandia to improve reconstruction of past hydroclimate variability.
Climate Dynamics ( IF 4.6 ) Pub Date : 2020-05-13 , DOI: 10.1007/s00382-020-05287-2
Kristina Seftigen 1, 2, 3 , Mauricio Fuentes 1 , Fredrik Charpentier Ljungqvist 4, 5, 6 , Jesper Björklund 3
Affiliation  

High-resolution hydroclimate proxy records are essential for distinguishing natural hydroclimate variability from possible anthropogenically-forced changes, since instrumental precipitation observations are too short to represent the whole spectrum of natural variability. In Northern Europe, progress in this field has been hampered by a relative lack of long and truly moisture-sensitive proxy records. In this study, we provide the first assessment of the dendroclimatic potential of Blue Intensity (BI) and partial ring-width measurements (latewood and earlywood width series) from a network of cold and drought-prone Pinus sylvestris L. sites in Sweden. Our results show that all tree-ring parameters and sites share a clear and strong sensitivity to warm-season precipitation. The ΔBI parameter, in particular, shows considerable potential for hydroclimate reconstructions, here permitting a cross-validated precipitation reconstruction capable of explaining 56% (1901–2010 period) of regional-scale warm-season high-frequency precipitation variance. Using ΔBI as an alternative to ring-width improves the predictive skill with nearly a 20 percentage points increase in explained variance, reduces signal instability over time as well as allows a broader seasonal window (May–July) to be reconstructed. Additionally, we found that earlywood BI also reflect a positive late winter through early summer temperature signal. These findings emphasize that tree-rings, and in particular wood density parameters such as from BI, are capable of providing fundamental information to advance our understanding of hydroclimate variability in regions with a cool and rather humid climate regime that traditionally has been overlooked in studies of past droughts. Increasing the spatio-temporal coverage of hydroclimate records in northern Europe, and taking full advantage of the opportunities offered by the wood densitometric properties should be considered a research priority.



中文翻译:

利用对干旱敏感的樟子松樟子松的蓝光强度,改善过去水文气候变异性的重建。

高分辨率的水文气候代用记录对于区分自然水文气候变化与可能的人为强迫变化是必不可少的,因为仪器降水观测值太短,无法代表自然变化的整个范围。在北欧,相对缺乏长期且真正对水分敏感的代理记录,阻碍了该领域的进展。在这项研究中,我们提供了从寒冷和干旱多发的樟子松网络中对蓝色强度(BI)的树状气候潜力进行的首次评估,以及对部分环宽的测量(红木和早木宽度系列)L.在瑞典的站点。我们的结果表明,所有树木年轮参数和站点对暖季降水都具有清晰而强烈的敏感性。尤其是ΔBI参数,显示了相当大的水文气候重建潜力,在此可以进行交叉验证的降水重建,该降水重建可以解释区域性暖季高频降水变化的56%(1901-2010年)。使用ΔBI替代环宽可提高预测技能,使解释方差增加近20个百分点,减少信号随时间的不稳定性,并允许重建更宽的季节性窗口(5月至7月)。此外,我们发现早材BI也会通过初夏的温度信号反映出一个正的冬末。这些发现强调了树环,尤其是木材密度参数(例如来自BI的密度)能够提供基本信息,以加深我们对凉爽而潮湿的气候条件下的地区水文气候变异性的了解,而在过去的干旱研究中传统上却忽略了这一点。在北欧,增加水文气候记录的时空覆盖范围,并充分利用木材光密度特性提供的机会,应被视为研究重点。

更新日期:2020-05-13
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