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Removing the no-analogue bias in modern accelerated tree growth leads to stronger medieval drought

机译:消除现代树木加速生长中的无模拟偏差会导致更强的中世纪干旱

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摘要

In many parts of the world, especially in the temperate regions of Europe and North-America, accelerated tree growth rates have been observed over the last decades. This widespread phenomenon is presumably caused by a combination of factors like atmospheric fertilization or changes in forest structure and/or management. If not properly acknowledged in the calibration of tree-ring based climate reconstructions, considerable bias concerning amplitudes and trends of reconstructed climatic parameters might emerge or low frequency information is lost. Here we present a simple but effective, data-driven approach to remove the recent non-climatic growth increase in tree-ring data. Accounting for the no-analogue calibration problem, a new hydroclimatic reconstruction for northern-central Europe revealed considerably drier conditions during the medieval climate anomaly (MCA) compared with standard reconstruction methods and other existing reconstructions. This demonstrates the necessity to account for fertilization effects in modern tree-ring data from affected regions before calibrating reconstruction models, to avoid biased results.
机译:在世界许多地区,特别是在欧洲和北美的温带地区,在过去的几十年中观察到树木生长速度加快。这种普遍现象大概是由大气肥力或森林结构和/或经营方式变化等多种因素共同造成的。如果在基于树环的气候重建的校准中未正确确认,则可能会出现有关重建气候参数的幅度和趋势的相当大的偏差,或者会丢失低频信息。在这里,我们提出了一种简单但有效的数据驱动方法,以消除树木年轮数据中最近的非气候增长。考虑到无模拟量校准问题,与标准重建方法和其他现有重建方法相比,欧洲中北部的一项新的水文气候重建过程显示,中世纪气候异常(MCA)期间的干旱条件相当严重。这表明在校准重建模型之前,有必要考虑受影响地区现代树木年轮数据中的施肥效应,以避免结果有偏差。

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