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  • 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. (en)
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 (en)
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  • Environmental risk assessment based on semi-quantitative analysis of forest management data
  • Environmental risk assessment based on semi-quantitative analysis of forest management data (en)
skos:notation
  • RIV/60460709:41320/11:53155!RIV12-MSM-41320___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 197740
http://linked.open...ai/riv/idVysledku
  • RIV/60460709:41320/11:53155
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ecological factors, forest damage, forest management, logistic regression, Norway spruce, risk assessment (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [A352F46913D3]
http://linked.open...i/riv/nazevZdroje
  • Journal of Forest Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 57
http://linked.open...iv/tvurceVysledku
  • Kulla, Ladislav
  • Marušák, Róbert
http://linked.open...ain/vavai/riv/wos
  • 0
issn
  • 1212-4834
number of pages
http://localhost/t...ganizacniJednotka
  • 41320
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