系统抽样方法在典型天然阔叶林调查中的应用

以福建省永安市麻岭村9 hm2的典型天然阔叶林为试验研究对象,应用系统抽样方法,分别200 m×100m、100 m×100 m、100 m×50 m和100 m×25 m四种抽样密度,探讨林分主要测树因子的抽样估计精度.结果表明:试验的天然阔叶林分平均树高、平均胸径、平均密度与平均单位面积蓄积量等主要测树因子的估计精度都分别要求达到70％以上、75％以上、80％以上和85％以上的最小抽样密度分别是100 m×100 m、100 m × 50 m、100m×50 m和10 0m×25 m.试验的天然阔叶林分胸径Ⅲ组林木蓄积量的估计精度分别要求达到70％以上、75％以上和80％以上的最小抽样密度分别是100 m×50 m、100 m×25 m和100 m×25 m.

Application of Systemic Sampling Method on Typical Natural Broad-leaved Forest Inventory

9 hm2 typical natural broad-leaved forest at Maling in Yong’an City of Fujian Province was taken as a case study.Systemic sampling method of 4 densities(200 m×100 m,100 m×100 m,100 m×50 m and 100 m×25 m respectively) was applied in the typical natural broad-leaved forest inventory in order to analyze the estimation value and accuracy for different main forest mesuration factors.The minimum sampling densities,which all estimation accuracy for main forest mensuration factors(including average stand height,DBH,density and growing stock) would be higher than 70%,75%,80%and 85%,were 100 m×100 m,100 m×50 m,100 m×50 m and 100 m×25 m respectively in typical natural broad-leaved forest.The minimum sampling densities,which estimation accuracy for stand growing stock in DBH group III would be higher than 70%,75% and 85%,were 100 m×50 m,100 m×25 m and 100 m×25 m respectively in typical natural broad-leaved forest.