Abstract

There is an increasing interest in estimating biomass for longleaf pine (Pinus palustris Mill.), an important tree species in the southeastern U.S. Most of the individual-tree allometric models available for the species are local, relying on stem diameter outside bark at breast height (DBH) and total tree height (HT), but seldom include stand-level variables such as stand age, basal area or stand density. Using the biomass dataset of 296 longleaf pine trees sampled in the southeastern U.S. by different forestry research institutions, we developed a set of local and general systems of tree biomass equations to predict total tree total above-stump biomass, bole biomass outside bark, live branch biomass and live foliage biomass. The local systems were based on DBH or DBH and HT, and the general systems included in addition to DBH and HT, stand-level variables such as age, basal area and stand density. This paper reports the first set of general allometric equations reported for longleaf pine trees. These systems of biomass equations provide tools to support managers in making management decisions for the species in a variety of ecological, silvicultural and economics applications. The systems can be applied to trees growing over a large geographical area and having a wide range of ages and stand characteristics.

Highlights

  • Measures of above-ground biomass are needed for estimating site productivity, and stand and tree growth and yield [1]

  • The six systems of biomass equations were fitted with nonlinear seemingly unrelated regression (NSUR) and different weighting functions for each biomass equation

  • (S-17), and newbyequation systems developed in Baldwin and Saucier [8] (BS-83) and Samuelson et al [19] (S-17), and new equation systems this study indicate that the new equation systems predicted all biomass components on the larger developed in this study indicate that the new equation systems predicted all biomass components on dataset with great precision and precision accuracy

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Summary

Introduction

Measures of above-ground biomass are needed for estimating site productivity, and stand and tree growth and yield [1]. Estimates of individual tree and component biomass are of interest to researchers, managers and policymakers [2]. Crown biomass estimates are necessary for determining the amount of logging residues, planning prescribed fire, and for biomass accounting in bioenergy production [3,4]. Accurate estimates of tree biomass are essential to understanding and predicting forest carbon (C) stocks and dynamics [5,6]. Local functions used to estimate tree biomass rely on the stem diameter over-bark at 1.37 m height (DBH) [2,7], or DBH and total tree height (HT) as explanatory variables [8,9].

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