Tree height growth modelling using LiDAR-derived topography information

Milan Kobal (Author), David Hladnik (Author)

Abstract

The concepts of ecotopes and forest sites are used to describe the correlative complexes defined by landform, vegetation structure, forest stand characteristics and the relationship between soil and physiography. Physically heterogeneous landscapes such as karst, which is characterized by abundant sinkholes and outcrops, exhibit diverse microtopography. Understanding the variation in the growth of trees in a heterogeneous topography is important for sustainable forest management. An R script for detailed stem analysis was used to reconstruct the height growth histories of individual trees (steam analysis). The results of this study reveal that the topographic factors influencing the height growth of silver fir trees can be detected within forest stands. Using topography modelling, we classified silver fir trees into groups with significant differences in height growth. This study provides a sound basis for the comparison of forest site differences and may be useful in the calibration of models for various tree species.

Keywords

stebelna analiza;lasersko skeniranje iz zraka;srebrna jelka;Dinarsko gorovje;kras;stem analysis;airborne laser scanning;DEM;silver fir;Dinaric Mountains;karst;

Data

Language:	English
Year of publishing:	2021
Typology:	1.01 - Original Scientific Article
Organization:	UL BF - Biotechnical Faculty
UDC:	630*58
COBISS:	67980035
ISSN:	2220-9964
Views:	189
Downloads:	70
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	stebelna analiza;lasersko skeniranje iz zraka;srebrna jelka;Dinarsko gorovje;kras;
Type (COBISS):	Article
Pages:	16 str.
Volume:	ǂiss. ǂ6
Issue:	ǂarticle ǂ419
Chronology:	2021
DOI:	10.3390/ijgi10060419
ID:	13620744