izpis_h1_title_alt

Tree height growth modelling using LiDAR-derived topography information
ID Kobal, Milan (Author), ID Hladnik, David (Author)

.pdfPDF - Presentation file, Download (2,96 MB)
MD5: 1F9C155666D3E2AE7ABD8D3D55CBB7C3
URLURL - Source URL, Visit https://www.mdpi.com/2220-9964/10/6/419 This link opens in a new window

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.

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 This link opens in a new window
UDC:630*58
ISSN on article:2220-9964
DOI:10.3390/ijgi10060419 This link opens in a new window
COBISS.SI-ID:67980035 This link opens in a new window
Publication date in RUL:02.11.2021
Views:1009
Downloads:123
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

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 This link opens in a new window

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.

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back