Abstract The most frequently and successfully used tree-ring parameters for the study of temperature variations are ring width and maximum latewood density (MXD). MXD is preferred over ring width due to a more prominent association with temperature. In this study we explore the dendroclimate potential of dendroanatomy based on the first truly well replicated dataset. Twenty-nine mature living Pinus sylvestris trees were sampled in North-eastern Finland at the cool and moist boreal forest zone, close to the latitudinal tree line, where ring width, X-ray MXD as well as the blue intensity counterpart MXBI were compared with dendroanatomical parameters. Maximum radial cell wall thickness as well as anatomical MXD and latewood density appeared to be the most promising parameters for temperature reconstruction. In fact, these parameters compare favorably to MXD derived from X-ray techniques as well as MXBI, in terms of shared variation and temperature correlations across frequencies and over time. The reasons for these results are thought to be the unprecedentedly high measurement resolution of the anatomical technique, which provide the optimal resolution – the cell – whereas X-ray techniques have a slightly lower resolution and BI techniques even lower. While the results of this study are encouraging, further tests on longer and multigenerational chronologies are required to more generally and fully assess the dendroclimate potential of anatomical parameters.

中文翻译：

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温度敏感的樟子松树体解剖学的树状气候潜力

摘要 用于研究温度变化的最常用和最成功的树木年轮参数是年轮宽度和最大晚材密度 (MXD)。MXD 比环宽更受欢迎，因为它与温度有更显着的关联。在这项研究中，我们基于第一个真正复制良好的数据集探索了树状解剖学的树状气候潜力。在芬兰东北部凉爽潮湿的北方森林地带，靠近纬度树线，对 29 棵成熟的樟子松树进行了采样，在那里将年轮宽度、X 射线 MXD 以及蓝色强度对应物 MXBI 与树状解剖参数。最大径向细胞壁厚度以及解剖 MXD 和晚材密度似乎是最有希望的温度重建参数。实际上，在跨频率和随时间的共享变化和温度相关性方面，这些参数优于源自 X 射线技术的 MXD 以及 MXBI。这些结果的原因被认为是解剖技术前所未有的高测量分辨率，它提供了最佳分辨率——细胞——而 X 射线技术的分辨率略低，而 BI 技术的分辨率更低。虽然这项研究的结果令人鼓舞，但需要对更长的多代年表进行进一步的测试，以更全面和全面地评估解剖参数的树状气候潜力。这些结果的原因被认为是解剖技术前所未有的高测量分辨率，它提供了最佳分辨率——细胞——而 X 射线技术的分辨率略低，而 BI 技术的分辨率更低。虽然这项研究的结果令人鼓舞，但需要对更长的多代年表进行进一步的测试，以更全面和全面地评估解剖参数的树状气候潜力。这些结果的原因被认为是解剖技术前所未有的高测量分辨率，它提供了最佳分辨率——细胞——而 X 射线技术的分辨率略低，而 BI 技术的分辨率更低。虽然这项研究的结果令人鼓舞，但需要对更长的多代年表进行进一步的测试，以更全面和全面地评估解剖参数的树状气候潜力。