Abstract

In light of the difficulties in stand volume estimation of natural forests, we analyzed height–diameter relationships and derived a set of height estimation equations for volume estimation for naturally developing forest ecosystems, using the Järvselja old-growth and the Laeva commercial forest in Estonia as a case study. This contribution presents an approach to model individual tree height–diameter relationships for Scots pine, common aspen, silver and downy birch, Norway spruce, black alder, gray alder, linden species, European ash, Norway maple, deciduous species and coniferous species in multi-size and mixed-species naturally developing stands in Estonia. Single-tree-level data were collected in 2013. Two methods were used to obtain stand-level data: whole surface inventory and partial surface inventory. To model the height–diameter relationship in naturally developed mixed-species forest stands in order to predict single tree height based on observed diameter at breast height, we applied nonlinear mixed models where we applied the Chapman–Richards and Näslund models as fixed-effects and the influence of the species contribution at the sites as random effects. The fixed-effects followed a set of criteria: (1) height starts at h = 1.3; d = 0; (2) the applied functions are monotonically increasing with a clear inflection point and 3) the fixed-effect model has an asymptotic value) in a naturally developed mixed-species forest.

Highlights

  • The use of remotely sensed data in forest inventories has created an urgent need for H-D data, especially at places where the distribution of tree heights needs to be related to diameter at breast height (DBH)

  • We aim to provide a tree species-specific H-D model calibrated on mixedspecies multicohort stands to be used to model the single tree height and diameter in old-growth forest assessment

  • We aimed to describe and analyze growth allometry of the main tree species in stand composition that form in natural conditions in Järvselja old-growth forest in Estonia

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Summary

Introduction

DBH is obtained, either for all trees or for selected trees measured on a sample plot, the height measurements are notoriously time-consuming and in some cases, stand conditions make it difficult or impossible to establish them [5,6] This usually results in a sub-sample of tree heights measured across the range of diameters observed on a site [5,7]. The wider use of the combination of remotely acquired height data in combination with ground measurements has become a standard analysis tool for forest resource assessment. These data have considerable influence on all height distribution-dependent response variables like mean height, standing volume, etc. These data have considerable influence on all height distribution-dependent response variables like mean height, standing volume, etc. [8]

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