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Sampling Methods to Estimate Foliage and Other Characteristics of Individual Trees
Author(s) -
Gregoire Timothy G.,
Valentine Harry T.,
Furnival George M.
Publication year - 1995
Publication title -
ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.144
H-Index - 294
eISSN - 1939-9170
pISSN - 0012-9658
DOI - 10.2307/1940925
Subject(s) - estimator , statistics , sampling (signal processing) , variance (accounting) , mathematics , tree (set theory) , regression , regression analysis , bias of an estimator , ecology , minimum variance unbiased estimator , computer science , biology , filter (signal processing) , business , computer vision , mathematical analysis , accounting
The total foliar area or mass of a tree is difficult to measure, as is its bark or cambial area, and various other components of aboveground biomass. A variety of sampling methods is proposed and estimators of these characteristics are presented. Based on probability precepts, all estimators are unbiased. An unbiased estimator of variance for each estimator also is presented. The basis in probability rather than a fitted regression equation provides some important safeguards, and is a useful alternative when fitted regression functions are unavailable for a particular species and physiographic condition.