论文部分内容阅读
按照营造油松(Pinus tabulaeformis)林立地条件进行划分,将适宜、较适宜和不适宜分为Ⅰ级、Ⅱ级和Ⅲ级。选择不同立地类型的幼、中、近、成4个林龄段的典型油松林分设置面积为400m~2的样地,进行复测,固定样地取自未被人为干扰及未遭受自然灾害的自然生长的林分样地40块。没有经过间伐有两次不同监测值的样地共设置34块400m~2的临时样地参与模型的拟合,拟合采用ForStat2.2软件进行计算。建立了小陇山林区油松人工林林分8个林分整体生长预测模型,各参数的平均相对误差和相对均方误都小于11%。获得的全林整体模型可对小陇山林区不同条件下的油松林分的生长进行预测,可对间伐进行预测分析,绘制不同立地指数条件下的林分密度控制图,从而指导小陇山林区油松林分的经营活动。
According to the condition of establishing Pinus tabulaeformis stands, we divided them into Ⅰ, Ⅱ and Ⅲ according to the suitable, the more suitable and the less suitable ones. Select the different types of site of the young, middle, near, into the age of four typical Pinus tabulaeformis stands set area of 400m ~ 2 plots, retest, taken from the sample was not interfered with and not subject to natural disasters 40 plots of natural growing plots. 34 plots of temporary plots of 400 m ~ 2 were set up for the plots that had not been thinned with two different monitoring values. The fitting was performed using ForStat 2.2 software. The overall growth prediction model of Pinus tabulaeformis plantation forest stand in Xiaolongshan forest area was established. The average relative error and relative mean square error of each parameter were less than 11%. The whole forest model can be used to predict the growth of Pinus tabulaeformis stands under different conditions in Xiaolongshan forest area. The thinning can be predicted and analyzed, and the stand density map under different site indices can be plotted to guide Xiaolongshan forest area Pinus tabulaeformis business activities.