What diameter?What height?Influence of measures of average tree size on area-based allometric volume relationships  

作　　者：Yilin Wang John A.Kershaw Mark J.Ducey Yuan Sun James B.McCarter 

机构地区：[1]Integrated Forest Mensuration and Systems Analysis Laboratory,Faculty of Forestry and Environmental Management,University of New Brunswick,Fredericton,NB,Canada [2]Department of Natural Resources and the Environment,University of New Hampshire,Durham,NH,USA [3]College of Forestry,Nanjing Forestry University,Nanjing,210037,China [4]Scientific Programmer,Rayonier,Yulee,FL,USA

出　　处：《Forest Ecosystems》2024年第1期100-109,共10页森林生态系统（英文版）

基　　金：the Natural Sciences and Engineering Research Council of Canada(Discovery Grant RGPIN-2023-05879);the New Brunswick Innovation Foundation(Emerging Projects Grant EP-0000000033)。

摘　　要：Volume is an important attribute used in many forest management decisions.Data from 83 fixed-area plots located in central New Brunswick,Canada,are used to examine how different measures of stand-level diameter and height influence volume prediction using a stand-level variant of Honer's(1967)volume equation.When density was included in the models(Volume=f(Diameter,Height,Density))choice of diameter measure was more important than choice of height measure.When density was not included(Volume=f(Diameter,Height)),the opposite was true.For models with density included,moment-based estimators of stand diameter and height performed better than all other measures.For models without density,largest tree estimators of stand diameter and height performed better than other measures.The overall best equation used quadratic mean diameter,Lorey's height,and density(root mean square error=5.26 m^3·ha^(-1);1.9%relative error).The best equation without density used mean diameter of the largest trees needed to calculate a stand density index of 400 and the mean height of the tallest 400 trees per ha(root mean square error=32.08 m^(3)·ha^(-1);11.8%relative error).The results of this study have some important implications for height subsampling and LiDAR-derived forest inventory analyses.

关 键 词：Allometric relationships Stand structure Volume estimation Stand-level attributes 

分 类 号：S758.5[农业科学—森林经理学]