Tree height growth modelling using LiDAR-derived topography information

Kobal, Milan (author), Hladnik, David (author)

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.

• Language: English
• Keywords: stem analysis, airborne laser scanning, DEM, silver fir, Dinaric Mountains, karst
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: 16 str.
• Numbering: Vol. 10, iss. 6, art. 419
• PID: 20.500.12556/RUL-132739
• UDC: 630*58
• ISSN on article: 2220-9964
• DOI: 10.3390/ijgi10060419
• COBISS.SI-ID: 67980035
• Publication date in RUL: 02.11.2021

KOBAL, Milan and HLADNIK, David, 2021, Tree height growth modelling using LiDAR-derived topography information. ISPRS international journal of geo-information [online]. 2021. Vol. 10, no. 6,  419. [Accessed 17 April 2025]. DOI 10.3390/ijgi10060419. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=132739

Record is a part of a journal

• Title: ISPRS international journal of geo-information
• Shortened title: ISPRS int. j. geo-inf.
• Publisher: MDPI
• ISSN: 2220-9964
• COBISS.SI-ID: 18678550

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 19.06.2021

Secondary language

• Language: Slovenian
• Keywords: stebelna analiza, lasersko skeniranje iz zraka, srebrna jelka, Dinarsko gorovje, kras

Projects

• Funder: ARRS - Slovenian Research Agency
• Funding programme: Postdoctoral project

• Funder: Other - Other funder or multiple funders
• Project number: LIFE 09 ENV/IT/000078
• Acronym: Man-For C. BD.