Tree height growth modelling using LiDAR-derived topography information

Kobal, Milan (avtor), Hladnik, David (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: stem analysis, airborne laser scanning, DEM, silver fir, Dinaric Mountains, karst
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: BF - Biotehniška fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: 16 str.
• Številčenje: Vol. 10, iss. 6, art. 419
• PID: 20.500.12556/RUL-132739
• UDK: 630*58
• ISSN pri članku: 2220-9964
• DOI: 10.3390/ijgi10060419
• COBISS.SI-ID: 67980035
• Datum objave v RUL: 02.11.2021

KOBAL, Milan in HLADNIK, David, 2021, Tree height growth modelling using LiDAR-derived topography information. ISPRS international journal of geo-information [na spletu]. 2021. Vol. 10, no. 6,  419. [Dostopano 26 april 2025]. DOI 10.3390/ijgi10060419. Pridobljeno s: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=slv&id=132739

Gradivo je del revije

• Naslov: ISPRS international journal of geo-information
• Skrajšan naslov: ISPRS int. j. geo-inf.
• Založnik: MDPI
• ISSN: 2220-9964
• COBISS.SI-ID: 18678550

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 19.06.2021

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: stebelna analiza, lasersko skeniranje iz zraka, srebrna jelka, Dinarsko gorovje, kras

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Program financ.: Postdoctoral project

• Financer: Drugi - Drug financer ali več financerjev
• Številka projekta: LIFE 09 ENV/IT/000078
• Akronim: Man-For C. BD.