REGRESSION EQUATIONS FOR ESTIMATING SINGLE TREE BIOMASS OF TREMBLING ASPEN - ASSESSING THEIR APPLICABILITY TO MORE THAN ONE POPULATION
REGRESSION EQUATIONS FOR ESTIMATING SINGLE TREE BIOMASS OF TREMBLING ASPEN - ASSESSING THEIR APPLICABILITY TO MORE THAN ONE POPULATION
复制标题
DOI：
10.1016/0378-1127(85)90106-9
复制
发表时间：
1985-01-01
影响因子：
3.7
通讯作者：
PIELOU, EC
中科院分区：
文献类型：
--
作者：
CAMPBELL, JS;LIEFFERS, VJ;PIELOU, EC
用来预测单木生物量的估计方程的开发成本很高。有两种选择可以获得一个方程，而不需要花费开发一个方程的费用。可以使用一个物种和一个地区的广义生物量方程。或者，待测树木的树干几何形状和木材密度等树木特征可以与具有回归方程的树木的特征相匹配。我们认为，后一种技术将给出更准确的生物量预测，特别是在不同于区域平均水平的林分中。如果提供五条相关的、容易收集的信息，就可以更容易地评估生物量方程对其他种群的适用性。它们是：(1)平均胸径；(2)平均树高；(3)平均胸径/树高比；(4)平均绝对形商；(5)平均木材密度。这些建议用加拿大西部四个地理区域的两种形式的黑杨新的生物量估算公式来说明。这四个地区的方程式之间出现了分歧。描述树形的两个指标，即绝对形商和胸径/树高比，也因地区而异。胸径/树高比和树高与现成生物量估测方程的精度相关。
Estimation equations to predict single tree biomass are costly to develop. Two options exist for obtaining an equation without the expense of developing one. A generalized biomass equation for a species and a region can be used. Alternatively, such tree characteristics as bole geometry and wood density of the trees to be measured can be matched with those characteristics of trees of which a regression equation is available. We consider this latter technique will give more accurate biomass predictioon, particularly in stands that differ from the regional average. The applicability of biomass equations to other populations could be more easily assessed if five relevant and easily collected pieces of information were presented. These are: (1) mean DBH [diameter, breast height]; (2) mean height; (3) mean DBH/height ratio; (4) mean absolute form quotient; and (5) mean wood density. These recommendations are illustrated with new biomass estimation equations of two forms of Populus tremuloides for each of four geographic regions in western Canada. Diferences between equations for the four regions occurred. Two descriptors of treeshape, absolute form quotient and the DBH/height ratio, also differed among regions. The DBH/height ratio and height were both correlated with the accuracy of ready-made biomass estimation equations.