Use of LiDAR data to quantify the influence of topography on radiata pine ('Pinus radiata' D. Don) at the sub-compartment level

Abstract

Accurate estimation of inventory estimates, such as aboveground tree biomass, is a fundamental aspect of studies on carbon stocks of forest ecosystems since it reflects the accumulation of organic carbon and ecosystem productivity. Diameter at Breast Height (DBH) and tree height are the two main variables used for numerous forest inventory parameters, including stand stem volume and biomass. The significant variability within these factors, however, can challenge the acceptable levels of precision and bias required for inventory estimates at the operational Planning Unit. In Hanging Rock State Forest, New South Wales, Australia, despite the similar genetic sources, edaphic (geology and soil type) and climatic (temperature and rainfall) variables as well as similar initial stocking rate, the radiata pine ('Pinus radiata' D. Don) trees displayed significant height and DBH variation within even-aged compartments. The aim of this research was to determine the significant factors causing these variations and identify the relationships between height and DBH variables with these factors. The knowledge of intra-compartment variability in tree height and DBH is important as these small area inventories are used for operational yield predictions and facilitate local silvicultural and harvesting decisions.