Jiang Ze-Hui, Wang Yu-Rong, Fei Ben-Hua, Fu Feng, Hse Chung-Yun
Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2007 Jun;27(6):1062-5.
Rapid prediction of annual ring density of Paulownia elongate standing trees using near infrared spectroscopy was studied. It was non-destructive to collect the samples for trees, that is, the wood cores 5 mm in diameter were unthreaded at the breast height of standing trees instead of fallen trees. Then the spectra data were collected by autoscan method of NIR. The annual ring density was determined by mercury immersion. And the models were made and analyzed by the partial least square (PLS) and full cross validation in the 350-2 500 nm wavelength range. The results showed that high coefficients were obtained between the annual ring and the NIR fitted data. The correlation coefficient of prediction model was 0.88 and 0.91 in the middle diameter and bigger diameter, respectively. Moreover, high coefficients of correlation were also obtained between annual ring density laboratory-determined and the NIR fitted data in the middle diameter of Paulownia elongate standing trees, the correlation coefficient of calibration model and prediction model were 0.90 and 0.83, and the standard errors of calibration (SEC) and standard errors of prediction(SEP) were 0.012 and 0.016, respectively. The method can simply, rapidly and non-destructively estimate the annual ring density of the Paulownia elongate standing trees close to the cutting age.
研究了利用近红外光谱快速预测兰考泡桐立木年轮密度的方法。采集树木样本时不会对树木造成破坏，即于立木而非伐倒木的胸高处钻取直径5毫米的木芯。然后采用近红外自动扫描法采集光谱数据。通过汞浸法测定年轮密度。并在350 - 2500纳米波长范围内，采用偏最小二乘法（PLS）和全交叉验证法建立并分析模型。结果表明，年轮与近红外拟合数据之间具有较高的系数。预测模型在中径和大径中的相关系数分别为0.88和0.91。此外，在兰考泡桐立木中径处，实验室测定的年轮密度与近红外拟合数据之间也具有较高的相关系数，校正模型和预测模型的相关系数分别为0.90和0.83，校正标准误（SEC）和预测标准误（SEP）分别为0.012和0.016。该方法能够简单、快速且无损地估算接近采伐年龄的兰考泡桐立木的年轮密度。
