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Statements

Subject Item
n2:RIV%2F60460709%3A41320%2F11%3A53155%21RIV12-MSM-41320___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
The paper deals with environmental risk assessment in prevailingly unnatural spruce (Picea abies [L.] Karst.) forests in three regions with different patterns of forest damage in the Slovak part of the West Carpathians. Logistic regression was used to estimate the effect of 7 site-related, 5 stand-related and 2 anthropogenic factors on the probability that critical forest damage will occur. The results show that regression models can describe cause-effect relationships in regions with different regimes of forest decline. Stand age, proportion of spruce, and distance from the focus of biotic agent activity predicted decline in two regions with generally lower elevation in northern Slovakia (Kysuce and Orava). In a mountain region (Low Tatras), the importance of factors contributing to the static stability of trees and position towards dangerous winds increased significantly. The quality of the derived models and prospects for their usefulness in risk assessment are discussed. The paper deals with environmental risk assessment in prevailingly unnatural spruce (Picea abies [L.] Karst.) forests in three regions with different patterns of forest damage in the Slovak part of the West Carpathians. Logistic regression was used to estimate the effect of 7 site-related, 5 stand-related and 2 anthropogenic factors on the probability that critical forest damage will occur. The results show that regression models can describe cause-effect relationships in regions with different regimes of forest decline. Stand age, proportion of spruce, and distance from the focus of biotic agent activity predicted decline in two regions with generally lower elevation in northern Slovakia (Kysuce and Orava). In a mountain region (Low Tatras), the importance of factors contributing to the static stability of trees and position towards dangerous winds increased significantly. The quality of the derived models and prospects for their usefulness in risk assessment are discussed.
dcterms:title
Environmental risk assessment based on semi-quantitative analysis of forest management data Environmental risk assessment based on semi-quantitative analysis of forest management data
skos:prefLabel
Environmental risk assessment based on semi-quantitative analysis of forest management data Environmental risk assessment based on semi-quantitative analysis of forest management data
skos:notation
RIV/60460709:41320/11:53155!RIV12-MSM-41320___
n15:predkladatel
n16:orjk%3A41320
n3:aktivita
n12:S
n3:aktivity
S
n3:cisloPeriodika
3
n3:dodaniDat
n13:2012
n3:domaciTvurceVysledku
n5:9458638
n3:druhVysledku
n8:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
197740
n3:idVysledku
RIV/60460709:41320/11:53155
n3:jazykVysledku
n4:eng
n3:klicovaSlova
ecological factors, forest damage, forest management, logistic regression, Norway spruce, risk assessment
n3:klicoveSlovo
n9:forest%20management n9:ecological%20factors n9:Norway%20spruce n9:logistic%20regression n9:risk%20assessment n9:forest%20damage
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[A352F46913D3]
n3:nazevZdroje
Journal of Forest Science
n3:obor
n10:GK
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n13:2011
n3:svazekPeriodika
57
n3:tvurceVysledku
Kulla, Ladislav Marušák, Róbert
n3:wos
0
s:issn
1212-4834
s:numberOfPages
7
n6:organizacniJednotka
41320