Dendroprovenancing studies frequently use site chronologies to identify the origin of archaeological and historical timber. However, radial growth (tree-ring width, TRW) of tree species is influenced by both local and regional climate scales. Here we investigate how the use of annually-resolved Blue Intensity (BI) measurements can enhance dendroprovenancing precision of black pine (Pinus nigra Arn.) and Scots pine (P. sylvestris L.) on the Iberian Peninsula. Principal Component Gradient Analyses (PCGA) was used to assess geographical patterns of annual variation in different TRW and BI proxies of pine trees from two mountain ranges in the Central System and Andalusia in Spain. Local climate-growth relationships were quantified to identify underlying causes of identified groups with diverse growth patterns. Two distinct elevational groups were observed when performing PCGA on latewood BI time series with the response to summer drought as the main factor causing the differences. Both P. nigra and P. sylvestris BI time series were found to be more related to summer drought at low-elevation sites showing an increase in sensitivity at lower latitudes. PCGA of TRW time series allowed to discriminate between trees from Andalusia and Central System within the elevation groups. February and October temperatures were found to be the main climatic factors causing the differences in TRW time series among the high- elevation sites, whereas for low-elevation trees it was the average winter temperature influencing TRW. A subsequent leave-one-out analyses confirmed that including latewood BI time series improves the precision of dendroprovenancing of pine wood in the Iberian Peninsula.

中文翻译：

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迈向地中海伊比利亚半岛植树造林松树的新方法

Dendropprovenancing 研究经常使用场地年表来确定考古和历史木材的起源。然而，树种的径向生长（树轮宽度，TRW）受当地和区域气候尺度的影响。在这里，我们研究了使用年分辨率的蓝色强度 (BI) 测量值如何提高伊比利亚半岛上黑松 (Pinus nigra Arn.) 和苏格兰松 (P. sylvestris L.) 的植株生长精度。主成分梯度分析 (PCGA) 用于评估来自中央系统和西班牙安达卢西亚的两个山脉的松树的不同 TRW 和 BI 代理的年度变化的地理模式。对当地气候-增长关系进行量化，以确定具有不同增长模式的特定群体的根本原因。当对晚材 BI 时间序列进行 PCGA 时观察到两个不同的海拔组，对夏季干旱的响应是导致差异的主要因素。发现 P. nigra 和 P. sylvestris BI 时间序列与低海拔地区的夏季干旱更相关，显示低纬度地区的敏感性增加。TRW 时间序列的 PCGA 允许在高程组内区分来自安达卢西亚和中央系统的树木。发现 2 月和 10 月的温度是造成高海拔地区 TRW 时间序列差异的主要气候因素，而对于低海拔树木，影响 TRW 的是冬季平均温度。