论文部分内容阅读
地位指数表是目前国内外普遍用以评价林地质量的经营数表,在编表时都通用平均导向曲线展开法。近年来,作者深感到同一树种在不同立地条件下其林分优势高的生长过程并不遵循同一规律。而现行的平均导向曲线人为地掩盖了不同立地条件下林木生长过程的差别。标准差调整法、变动系数调整法或相对百分数法等都是从一条平均导向曲线展开的,它不可能模拟好具有显著差异的不同立地条件的多种曲线。我们认为,对不同立地条件的林分优势高生长过程,应分别拟合,然后再综合调整各立地条件间的回归曲线。这样来处理不同空间的时间序列才比较符合客观规律。为此,提出下述一种编制地位指数表的综合数学模型来解决这一问题。一、资料的收集与整理此次编表共收集引用了349块湖南杉木实
Status index table is commonly used at home and abroad to evaluate the quality of woodland management number table, when the tabulation common average guidance curve expansion method. In recent years, the author is deeply aware that the same tree species do not follow the same laws in the growth of their stand superiority under different site conditions. However, the current average guidance curve artificially masks the difference of tree growth process under different site conditions. Standard deviation adjustment method, the coefficient of variation adjustment method or the relative percentage method are all from an average guide curve, it is impossible to simulate different conditions with significant differences in a variety of curves. In our opinion, the high growth process of stand superiority for different site conditions should be fitted separately, and then the regression curve between different site conditions should be adjusted. In this way, it is more in line with objective laws to deal with the time series of different spaces. To this end, the following proposed a comprehensive mathematical model of status index table to solve this problem. First, the collection and collation of the information This collection of a total of 349 citric cedar collected reference