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Article

Tree Height Growth Modelling Using LiDAR-Derived Topography Information

Department of Forestry and Renewable Forest Resources, Biotechnical Faculty, University of Ljubljana, Večna Pot 83, 1000 Ljubljana, Slovenia
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Academic Editors: Palaiologos Palaiologou, Kostas Kalabokidis and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(6), 419; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060419
Received: 23 April 2021 / Revised: 11 June 2021 / Accepted: 18 June 2021 / Published: 19 June 2021
(This article belongs to the Special Issue The Use of Geo-Spatial Tools in Forestry)
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. View Full-Text
Keywords: stem analysis; airborne laser scanning; DEM; silver fir; Dinaric Mountains; karst stem analysis; airborne laser scanning; DEM; silver fir; Dinaric Mountains; karst
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MDPI and ACS Style

Kobal, M.; Hladnik, D. Tree Height Growth Modelling Using LiDAR-Derived Topography Information. ISPRS Int. J. Geo-Inf. 2021, 10, 419. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060419

AMA Style

Kobal M, Hladnik D. Tree Height Growth Modelling Using LiDAR-Derived Topography Information. ISPRS International Journal of Geo-Information. 2021; 10(6):419. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060419

Chicago/Turabian Style

Kobal, Milan, and David Hladnik. 2021. "Tree Height Growth Modelling Using LiDAR-Derived Topography Information" ISPRS International Journal of Geo-Information 10, no. 6: 419. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10060419

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