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在广东省范围内收集了254块样地资料,建立了广东省马尾松、杉木、湿地松、尾叶桉、藜蒴、软阔类、硬阔类等7个树种(组)的相对树高曲线模型。经检验,7个树种(组)的相对树高模型预估精度相当高, 用于材积估计的总相对误差和平均相对误差均在±1％以内,平均相对误差绝对值都在3％以内,最大误差也不超过±5％。用7个树种资料合并建立多树种混合相对树高曲线模型,分树种进行材积估计检验,效果也相当理想。所建模型可广泛应用于广东各类森林资源调查。
A total of 254 plots were collected from Guangdong Province, and the relative tree height of seven species (groups) of Masson pine, Chinese fir, Pinus elliottii, Eucalyptus urophylla, Pinus thunbergii, Curve model. The test results showed that the relative tree height model of the seven tree species (group) had a fairly high prediction accuracy, the total relative error and the average relative error for the volume estimation were all within ± 1%, and the average relative error was within 3% The maximum error does not exceed ± 5%. With 7 tree species data combined to establish multi-species mixed relative tree height curve model, the tree species by volume estimation test, the effect is quite satisfactory. The model can be widely used in various types of forest resources survey in Guangdong.