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Relevant bibliographies by topics / FORKOME computer model

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Journal articles

Academic literature on the topic 'FORKOME computer model'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "FORKOME computer model"

1

Kozak, I. I., T. V. Parpan, G. G. Kozak, and P. G. Kotsyuba. "Prognosis of beech stand dynamics in climate change conditions in Polish Bieszady and Ukrainian Beskydy." Ecology and Noospherology 27, no. 1-2 (2015): 25–33. http://dx.doi.org/10.15421/031603.

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The study concerned forecasts for the dynamics of beech (Fagus sylvatica L.) stands in the Polish Bieszczady and Ukrainian Beskydy with the use of FORKOME model іn different scenarios of climate changes. Simulation conducted in FORKOME model confirms that beech will exist in the Polish Bieszczady and Ukrainian Beskydy regions on the east boundary of beech areal. The changes in the Polish Bieszczady and Ukrainian Beskydy can be estimate as a positive for forest productivity and biomass accumulations. They were confirmed by fieldwork and events documented in the literature, which shows the relia

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2

Kozak, I., and H. Kozak. "Selective forest cutting using the FORKOME computer model." Ekologia 31, no. 02 (2012): 195–209. http://dx.doi.org/10.4149/ekol_2012_02_195.

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3

Kozak, Ihor, and Taras Parpan. "Forecasting drying up of spruce forests in Transcarpathia (Ukraine) using the FORKOME model." Journal of Forest Science 65, No. 6 (2019): 209–17. http://dx.doi.org/10.17221/30/2019-jfs.

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This paper presents the results of analysis of drying up of spruce stands obtained by the use of the FORKOME computer model. The verification of this model was conducted with field data from spruce-dominated mixed forests in Transcarpathia (Ukraine). The forecast of drying up, based on the latest version of the simulation of FORKOME computer model, allowed to evaluate results regarding bioclimatic effects on the displacement, growth, survival and death of spruce and other tree species. The modelling was performed on the basis of statistical Monte Carlo simulations. The forecast of the spruce s

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4

Kozak, I., V. Menshutkin, M. Jóźwina, and G. Potaczała. "Computer simulation of fir forest dynamics in the Bieszczady Mountains in response to climate change." Journal of Forest Science 48, No. 10 (2019): 425–31. http://dx.doi.org/10.17221/11909-jfs.

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Results of investigation of fir forest dynamics in the Bieszczady Mountains using a FORKOME (FORest KOzak MEnshutkin) model in response to climate changes are presented. The model was verified in field trials in 1998–2001 in a fir forest in forest district Procisne in the Bieszczady Mountains (Poland). Prediction of tree biomass and tree number was made for the next 600 years. The simulation demonstrated beech domination when mean annual temperature increases by 2°C while with a decrease in temperature by 2°C fir becomes dominant in the examined area. Both one simulation run and Monte Carlo si

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5

Ihor, Kozak, Typiak Barbara, Parpan Taras, and Kozak Hanna. "A prognosis for the impact of climate change on beech stand dynamics in the Polish and Ukrainian Roztoche region." Lesne Prace Badawcze / Forest Research Papers 78, no. 2 (2017): 149–58. https://doi.org/10.1515/frp-2017-0016.

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This study has been carried out in the Polish Roztoczański National Park and the Ukrainian Ravs’ke Roztochia Regional landscape Park, both of which are part of the Roztoche region. In each of these two locations, representative study plots were established in beech (<em>Fagus sylvatica</em> l.) stands occupying sites with similar environmental conditions. A longterm prognosis for the dynamics of the chosen beech stands were generated using the computer model ForKoMe. The model was used to forecast stand developments for four climatic scenarios (warm-humid, warm-dry, cold-humid, cold

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6

Kozak, Ihor, Patrycja Czekajska, Hanna Kozak, Adam Stępień, and Piotr Kociuba. "Simulation of Scots pine stand dynamics under climate change conditions in the Polish and Ukrainian parts of Roztocze." Forest Research Papers 74 (3) (September 1, 2013): 215–26. https://doi.org/10.2478/frp-2013-0021.

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The study was conducted in the Polish (Roztoczanski National Park) and Ukrainian (Rava-Rus’ka Landscape Reserve and Yavorivskyi National Park) parts of the Roztocze region. In each of these locations three research areas were established in Scots pine (<em>Pinus sylvestris</em> L.) stands under similar ecological conditions. The purpose of this study was to carry out a survey of possible scenarios for pine stand dynamics in the Polish and Ukrainian parts of Roztocze using the FORKOME model. A control scenario was compared with four other climate change scenarios (warm dry and warm humid;

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7

Kozak, Ihor, Barbara Typiak, Taras Parpan, and Hanna Kozak. "A prognosis for the impact of climate change on beech stand dynamics in the Polish and Ukrainian Roztoche region." Forest Research Papers 78, no. 2 (2017): 149–58. http://dx.doi.org/10.1515/frp-2017-0016.

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Abstract This study has been carried out in the Polish Roztoczański National Park and the Ukrainian Ravs’ke Roztochia Regional Landscape Park, both of which are part of the Roztoche region. In each of these two locations, representative study plots were established in beech (Fagus sylvatica L.) stands occupying sites with similar environmental conditions. A longterm prognosis for the dynamics of the chosen beech stands were generated using the computer model FORKOME. The model was used to forecast stand developments for four climatic scenarios (warm-humid, warm-dry, cold-humid, cold-dry) cover

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8

Kozak, I., P. Strzeliński, A. Węgiel, et al. "Examples of metrization and prediction of pine stands biomass in Poland." Visnyk of the Lviv University. Series Geography, no. 45 (May 20, 2014): 20–28. http://dx.doi.org/10.30970/vgg.2014.45.1220.

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In the article there are presented examples of metrication of stands biomass with a predominance of pine (Pinus sylvestris L), such as: hand-held measuring of trees biomass in the forest; average data for forest compartments, selected from the Computer System of State Forests; data from hemispheric photos; data from Terrestrial Laser Scanning (TLS) and Aerial Laser Scanning (ALS). Collected and measured data was inserted into the FORKOME model, which predicted the biomass dynamics of pine stands for the period of 100 years. Key words: biomass, pine stands, metrication, prediction.

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9

Kozak, Ihor, Kajetan Perzanowski, Stanisław Kucharzyk, et al. "Perspectives for the application of computer models to forest dynamics forecasting in bieszczadzki national park (Poland)." Ekologia 33, no. 1 (2014). http://dx.doi.org/10.2478/eko-2014-0003.

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AbstractThis paper presents the perspectives for application of computer models in forecasting the dynamics of forest development on example of Moczarne area, in Bieszczadzki National Park, based on authors’ computer models. First, the possibilities for forecasting the dynamics of forest development in a local scale, i.e. within single rectangular or circular study plot, are presented. For this purpose, a computer prognostic model FORKOM E has been applied, using both general mathematical relationships functioning within a forest ecosystem and empirical ones, characteristic for tree stands at

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