NOAA/WDS Paleoclimatology - Cerrato - Bosco Antico - LADE - ITRDB ITAL050

The ongoing rise of the global mean temperature with an unprecedented recorded rate is well documented. Nevertheless, the knowledge of the past climate variations is fundamental for better understanding the ongoing climate change. This need is crucial in high mountain areas, where the effects of global warming are amplified and induce an accelerated glacial retreat. Thus, the use of climatic sensitive proxies such as tree-ring width offers tools to better comprehend the environmental dynamics in these sensible sites. Here we present the Bosco Antico composite chronology, a six-centuries long dataset from the most ancient living wood in Val di Sole area (Southern Rhaetian Alps, Italy), and its relationship with summer mean temperatures. The analyses were performed on earlywood and latewood separately as well as on tree rings width using static, moving and within-year correlations. The results pointed out that tree-rings and earlywood width are linked with June temperatures whereas latewood width is mainly driven by July temperatures. All the analyzed series are greatly influenced by June to July and June to August temperature showing different correlation indexes. Finally, a mean summer latewood-based temperature reconstruction since 1525 is proposed. Our results add an important dataset for a particular climatic area, allowing a better understanding of the climate dynamics and improving local as well as regional climate reconstructions.

全球平均气温以有观测记录以来前所未有的速率持续上升，这一现象已有翔实的文献记录。然而，对过去气候变异的认知对于深入理解当前的气候变化进程至关重要。这一需求在高海拔山区尤为关键：全球变暖的影响在这类区域被进一步放大，进而引发冰川加速退缩。因此，诸如树木年轮宽度（tree-ring width）这类气候敏感代用指标（climatic sensitive proxy），为解析这类敏感区域的环境动态提供了有效的研究手段。本研究介绍了Bosco Antico复合年表：这一数据集源自意大利南雷蒂亚阿尔卑斯山脉瓦莱迪索莱地区现存最古老的活木样本，时长跨越六个世纪，同时探讨了该年表与夏季平均气温的关联。研究分别针对早材（earlywood）、晚材（latewood）及树木年轮宽度，采用静态相关性、滑动相关性及年内相关性方法开展分析。结果表明，树木年轮宽度与早材宽度均与6月气温存在显著关联，而晚材宽度则主要受7月气温调控。所有分析序列均显著受到6-7月及6-8月气温的影响，且呈现出各不相同的相关系数。最后，本研究构建了基于夏季晚材数据的、可追溯至1525年的气温重建序列。本研究的成果为该特定气候区域提供了重要的数据集，有助于进一步解析区域气候动态，并优化当地及区域性的气候重建工作。