Milan Kobal (Avtor), David Hladnik (Avtor)

Povzetek

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.

Ključne besede

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

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL BF - Biotehniška fakulteta
UDK: 630*58
COBISS: 67980035 Povezava se bo odprla v novem oknu
ISSN: 2220-9964
Št. ogledov: 189
Št. prenosov: 70
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: stebelna analiza;lasersko skeniranje iz zraka;srebrna jelka;Dinarsko gorovje;kras;
Vrsta dela (COBISS): Članek v reviji
Strani: 16 str.
Letnik: ǂiss. ǂ6
Zvezek: ǂarticle ǂ419
Čas izdaje: 2021
DOI: 10.3390/ijgi10060419
ID: 13620744