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Determining juvenile-mature wood transition in Scots pine using latewood density

机译:使用晚木密度确定苏格兰松树的幼木到成熟木的过渡

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摘要

Segmented regression models were applied successfully to estimate the cambial age of juvenile-mature wood transition in Scots pine (Pinus sylvestris) sample trees from slow-grown stands. Mean ring density, and earlywood and latewood density profilesfrom 99 trees were determined by X-ray densitometric analysis of disks taken at 4-m stem height. The cambial age of transition from juvenile to mature wood is described according to segmented regression models based on latewood density profiles. The time series nature of the density data was considered by using generalized nonlinear regression and restricted maximum likelihood regression procedures. The quadratic-linear fit shows the transition at cambial age of about 22 with a standard deviation of 5to 7 yr. Segmented regression models are an effective tool to get objective estimates of the juvenile-mature wood transition from density profiles.
机译:分段回归模型已成功应用于估计来自缓慢生长的林分的苏格兰松树(Pinus sylvestris)样品树中幼稚至成熟木材过渡的冈比亚年龄。通过对4-m茎高处采集的圆盘进行X射线光密度分析,确定了99棵树的平均环密度以及早木和晚木的密度分布。根据基于晚木密度分布的分段回归模型,描述了从幼木到成熟木材的过渡年龄。通过使用广义非线性回归和受限最大似然回归程序,可以考虑密度数据的时间序列性质。二次线性拟合显示在约22岁的冈比亚年龄过渡,标准偏差为5至7年。分段回归模型是一种有效的工具,可以从密度分布图中客观估算出幼稚到成熟的木材转变。

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