Blanka Klinar (Author), Matija Klopčič (Author), Andrej Bončina (Author)

Abstract

Raziskovali smo poškodovanost drevja zaradi snega v pretežno mešanih gozdnih sestojih na bukovih rastiščih v Sloveniji. V analizo smo vključili 22.609 oddelkov s prevladujočimi bukovimi rastišči, v katerih je bil delež bukve vsaj 10 % lesne zaloge sestojev. Delež iglavcev v sanitarnem poseku je bil večji pri snegolomih in vetrolomih, pri žledolomih sta bila deleža listavcev in iglavcev skoraj enaka. V bukovih gozdovih je zaradi snega najbolj poškodovano drevje v mlajših in srednjedobnih razvojnih fazah debelin 20%40 cm. Na podvzorcu 363 oddelkov, za katere smo pridobili podatke o lastnostih snežne odeje, smo z binarno logistično regresijo izdelali model verjetnosti pojava snegoloma. V model smo vključili spremenljivke količine snega v spomladanskih mesecih, fitoregijo, skalnatost, naklon terena in matično podlago. Najpomembnejša spremenljivka je bila količina snega v spomladanskih mesecih. Razlog za relativno visok sanitarni posek v bukovih gozdovih je povečan delež smreke v gozdnih sestojih, bukev je veliko manj dovzetna za poškodbe zaradi snega kot smreka. Za povečanje odpornosti sestojev predlagamo pogostejša klasična redčenja nižjih jakosti ali uvedbo situacijskih redčenj v sestojih mlajših in srednjedobnih sestojih.

Keywords

Fagus sylvatica;bukova rastišča;binarna logistična regresija;pojav poškodbe;snegolomi;naravne motnje;gozdovi;

Data

Language: Slovenian
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL BF - Biotechnical Faculty
UDC: 630*42(497.4)(045)=163.6
COBISS: 27430915 Link will open in a new window
ISSN: 2335-3112
Parent publication: Acta Silvae et Ligni
Views: 371
Downloads: 195
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Individual tree damage due to abiotic natural disturbances on European beech sites in Slovenia with the main focus on snow damage
Secondary abstract: We studied snow damage to individual trees in beech stands in Slovenia. The analysis included 22,609 compartments with at least 10 % of European beech (Fagus sylvatica) in the total growing stock. In salvage harvesting due to snow and wind damage, conifers represented a higher proportion than deciduous species, yet their proportions were similar after ice damage. Mainly younger and middle-aged trees of 20%40 cm in dbh were damaged by heavy snow load. On a sample of 363 compartments, for which data on daily snow precipitation were obtained, a binary logistic regression model to predict the probability of snow damage occurrence was developed. The sum of snow cover in spring months, phytogeographical region, rockiness, slope inclination, and bedrock were statistically significant predictors; the key predictor was the sum of snow cover in spring months. The relatively high salvage felling in forests on beech sites can partly be explained by alterations in forests due to the admixture of Norway spruce (Picea abies), since beech is less susceptible to snow damage compared to spruce. To improve stand resistance, classical thinnings from above should be frequent and of lower intensity, or alternative types of crop tree situational thinning should be applied in younger and middle-aged even-aged stands.
Secondary keywords: forest;Fagus sylvatica;European beech sites;binary logistic regression;damage occurrence;snow;natural disturbance;
Type (COBISS): Article
Pages: str. 53-69
Issue: [Št.] 122
Chronology: 2020
DOI: 10.20315/ASetL.122.5
ID: 12010347