Model for forecasting the distribution of the minimum tree-to-tree distances
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摘要: 描述林木空间分布的方法是评价和分析近自然森林经营的基础,林木距离分布是森林空间结构的重要体现,是实现林分可视化的前提.研究提出了预测林木最近距离分布的新方法,以Weibull函数所表达的林木最近距离分布为基础,通过距离分布的均值和标准差实现了对距离分布的预测.为便于实际应用,研究还建立了以通过抽样调查易获取的因子即林分密度(公顷株数)和判断林木水平分布格局类型的平均角尺度为自变量的距离分布均值和标准差的预测模型.所建模型均具有很高的精度.Abstract: An exact description of structural attributes is considered to be increasingly important as a basis for continuous cover forest management.The distribution of distances is one of the characteristics of forest spatial structure and a precondition for visualization of forest stands.The paper presents a new method for forecasting the distribution of tree-to-tree distances.The distribution of distances follows Weibull distribution.Weibull parameters b and c can be estimated directly and with high precision from the mean and standard deviation of distances.Estimation functions were developed for practical use,enabling foresters to estimate the mean and standard deviation of tree-to-tree distances from the stand density and the Winkelmass mean value,which can be estimated in the course of a routine forest assessment.The models are bias-free with high accuracy.
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