Temat: model FORKOME - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Symulacja przebudowy drzewostanow swierkowych w Bieszczadach za pomoca modelu Forkome
Conversion simulation of spruce stands in the Bieszczady Mountains with the aid of Forkome model
Autorzy:: Kozak, I.
Chlodek, D.
Zawadzki, A.
Kozak, H.
Potaczala, G.
Tematy:: Bieszczady
symulacja komputerowa
model Forkome
drzewostany swierkowe
przebudowa drzewostanow
lesnictwo
modele symulacyjne; Pokaż więcej
Wydawca:: Instytut Badawczy Leśnictwa
Powiązania:: https://bibliotekanauki.pl/articles/45738.pdf Link otwiera się w nowym oknie
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: FORKOME - model komputerowy i jego zastosowania do prognozowania zmian krajobrazów leśych
The FORKOME model and its applications in prognosis of the forest landscape changes
Autorzy:: Kozak, I.
Potaczala, G.
Tematy:: krajobraz
lasy
Bieszczady
krajobraz lesny
zmiany krajobrazu
prognozowanie
modele prognostyczne
model FORKOME; Pokaż więcej
Wydawca:: Polska Asocjacja Ekologii Krajobrazu
Powiązania:: https://bibliotekanauki.pl/articles/86337.pdf Link otwiera się w nowym oknie
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Prognozowanie wpływu zmian klimatycznych na dynamikę drzewostanów bukowych w polskiej i ukraińskiej części Roztocza
A prognosis for the impact of climate change on beech stand dynamics in the Polish and Ukrainian Roztoche region
Autorzy:: Kozak, I.
Typiak, B.
Parpan, T.
Kozak, H.
Tematy:: lesnictwo
Polska
Ukraina
Roztocze [geogr.]
drzewostany bukowe
dynamika drzewostanu
czynniki klimatyczne
zmiany klimatyczne
model FORKOME
climate change
FORKOME model
tree competition
simulation
Roztoche; Pokaż więcej
Wydawca:: Instytut Badawczy Leśnictwa
Powiązania:: https://bibliotekanauki.pl/articles/1292558.pdf Link otwiera się w nowym oknie
Opis:: 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) covering a time span of 500 years. Our simulation results indicate that in the control scenario, beech stands were dominating and cyclical changes between beech and Silver fir (Abies alba Mill.) may occur. In the scenarios with assumed climate warming, a decline of fir biomass and an increase of beech biomass, as compared to the control conditions, was noticed. In the scenario with assumed climate cooling, fir biomass increased for the duration of the investigated time span. To conclude, the application of the FORKOME model was found to be a useful tool for analyzing potential scenarios of long-term dynamics of beech stands in the Roztoche region in Poland and Ukraine.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Problemy Ekologii Krajobrazu = The Problems of Landscape Ecology, t. 38
Estimation of forest above-ground biomass rate using airborne LiDAR data
Autorzy:: Semko, Igor
Kozak, Ihor
Popov, Mikhail
Wydawca:: Polska Asocjacja Ekologii Krajobrazu
Polska Akademia Nauk. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego.
Powiązania:: 1. Avery T.E., Burkhart H.E., 1994. Forest measurements, 4th Ed. McGraw-Hill, New York.
http://dx.doi.org/10.1046/j.1466-822x.2002.00303.x -
11. Semko I., 2014. Comparative analysis of single tree detection methods using airborne LiDAR data (in Ukrainian). Visnyk heodezii ta kartohrafii 4, p. 31-37.
6. Lyalko V.I., Popov M.O., Kostyuchenko Yu.V., 2006. Multispectral Remote Sensing in Nature Management. Naukova Dumka, Kyiv.
Problemy Ekologii Krajobrazu
http://dx.doi.org/10.1109/TGRS.2010.2068574 -
7. Lefsky M.A., Cohen W.B., Harding D.J., Parker G.G., Acker S.A. et al., 2002. LiDAR remote sensing of above-ground biomass in three biomes. Global Ecology and Biogeography 11, p. 393-399.
8. Morsdorf F., Meier E., Allgöwer B., Nüesch D., 2003. Clustering in Airborne Laser Scanning Raw Data for Segmentation of Single Trees. Remote Sensing and Spatial Information Sciences 34, part 3/W13, p. 330-336.
3. Kozak I., Ferchmin M., Menshutkin V., Potaczała G., Kozak O. et al., 2005. Prognozowanie zmian lasu grądowego w Kampinoskim Parku Narodowym z wykorzystaniem modelu Forkome. Roczniki Akademii Rolniczej w Poznaniu. Leśnictwo 43, p. 35-48.
12. Zhou X., Hemstrom M., 2009. Estimating aboveground tree biomass on forest land in the Pacific Northwest. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station.
10. Popov M., Semko I., 2013. Evaluation of the characteristics of vegetation using remote sensing technology (in Ukrainian). Ekolohichna Bezpeka ta Pryrodokorystuvannia 12, p. 51-62.
http://dx.doi.org/10.4149/ekol_2012_02_195 -
5. Kozak I., Kozak H., 2012. Selective forest cutting using the FORKOME computer model. Ekológia (Bratislava) 31 (2), p. 195-209.
4. Kozak I., Parpan V., Potaczała G., Kozak H., Zawadzki A., 2007. Natural forest regeneration in spruce monocultures in the Ukrainian Beskids - prognosis by FORKOME model. Journal of Forest Science 53 (4), p. 162-169.
2. Hyyppä J., Inkinen M., 1999. Detecting and estimating attributes for single trees using laser scanner. The Photogrammetric Journal of Finland 16 (2), p. 27-42.3. Kozak I., Ferchmin M., Menshutkin V., Potaczała G., Kozak O. et al., 2005. Prognozowanie zmian lasu grądowego w Kampinoskim Parku Narodowym z wykorzystaniem modelu Forkome. Roczniki Akademii Rolniczej w Poznaniu. Leśnictwo 43, p. 35-48.
9. Nichol J.E., Sarker M.L.R., 2011. Improved Biomass Estimation Using the Texture Parameters of Two High-Resolution Optical Sensors. IEEE Transactions on Geoscience and Remote Sensing 49 (3), p. 930-948.
Opis:: Bibliogr.
Bibliogr. przy pracach
Wstęp, spis treści i tyt. rozdz. również w jęz. ang.
244 s. : il. (w tym kolor.) ; 24 cm
Streszcz. prac w jęz. ang.
The study provides an overview of contemporary approaches to assess forest above-ground biomass. A remote sensing method for assessing biomass using airborne LiDAR (Light Detection And Ranging) data is proposed by authors, since it has a verified technology that can be used to accurately assess above-ground forest biomass. The brief review of methods for detection of single tree using airborne LiDAR data is presented. We proposed and discussed a new tree-based approach for biomass assessment with the use of LiDAR data. Results of morphologic parameters calculations, conducted with the help of some automated methods are described. The results of experimental investigation confirm availability and correctness of the proposed method. The results of biomass calculation in FORKOME are presented. The proposed methodology was tested in forest areas in Poland. Perspectives for further research in order to improve the precision of method are outlined as well.
Summ. eng.
244 p. : il. (color.) ; 24 cm
Dostawca treści:: RCIN - Repozytorium Cyfrowe Instytutów Naukowych

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Skocz do pozycji: 5.

Tytuł:: A prognosis for the impact of climate change on beech stand dynamics in the Polish and Ukrainian Roztoche region
Prognozowanie wpływu zmian klimatycznych na dynamikę drzewostanów bukowych w polskiej i ukraińskiej części Roztocza
Autorzy:: Kozak, Ihor
Kozak, Hanna
Typiak, Barbara
Parpan, Taras
Wydawca:: Instytut Badawczy Leśnictwa (Forest Research Institute), Sękocin Stary, Poland
Opis:: 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) covering a time span of 500 years. Our simulation results indicate that in the control scenario, beech stands were dominating and cyclical changes between beech and Silver fir (Abies alba Mill.) may occur. In the scenarios with assumed climate warming, a decline of fir biomass and an increase of beech biomass, as compared to the control conditions, was noticed. In the scenario with assumed climate cooling, fir biomass increased for the duration of the investigated time span. To conclude, the application of the FORKOME model was found to be a useful tool for analyzing potential scenarios of long-term dynamics of beech stands in the Roztoche region in Poland and Ukraine.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 6.

Tytuł:: Simulation of Scots pine stand dynamics under climate change conditions in the Polish and Ukrainian parts of Roztocze
Autorzy:: Kozak, Ihor
Stępień, Adam
Czekajska, Patrycja
Kociuba, Piotr
Kozak, Hanna
Wydawca:: Instytut Badawczy Leśny
Opis:: Przemysław Szmit
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 (Pinus sylvestris 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; cold dry and cold humid) for a period of covering the next 100 years. Using the control scenario, the FORKOME model predicted that for the next 100 years pine stands will dominate in terms of biomass and number of trees. The warm-dry and warm-humid climate scenarios resulted in slightly reduced biomass of pine stands. However pine would still maintain its dominance, although with a noticeable increase in beech and fir biomass. Nevertheless, in term of the number of trees during the second half of the simulation, it is beech and fir that dominate stand 1 in Roztoczanski National Park. Under the climate cooling scenario (cold dry and cold humid), the biomass of pine and spruce would increase during the next 100 years. Pine trees that would dominate in terms of their numbers, although the number of spruce individuals also tends to increase. The results presented in the paper indicate that the FORKOME model is very useful when investigating different climate changes scenarios in the Roztocze region.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 7.

Tytuł:: Symulacja dynamiki drzewostanów sosnowych polskiej i ukraińskiej części Roztocza w warunkach zmian klimatu
Simulation of Scots pine stand dynamics under climate change conditions in the Polish and Ukrainian parts of Roztocze
Autorzy:: Kozak, I.
Czekajska, P.
Kozak, H.
Stępień, A.
Kociuba, P.
Tematy:: lesnictwo
Roztocze [geogr.]
Polska
Ukraina
drzewostany sosnowe
dynamika drzewostanu
gatunki lasotworcze
sosna zwyczajna
Pinus sylvestris
gatunki domieszkowe
buk zwyczajny
Fagus sylvatica
jodla pospolita
Abies alba
swierk pospolity
Picea abies
grab pospolity
Carpinus betulus
czynniki klimatyczne
suma temperatur efektywnych
roczna suma opadow
zmiany klimatyczne
symulacja komputerowa
modele symulacyjne
model FORKOME
Scots pine
beech
fir
spruce
FORKOME computer model
Roztocze
prognosis; Pokaż więcej
Wydawca:: Instytut Badawczy Leśnictwa
Powiązania:: https://bibliotekanauki.pl/articles/1318626.pdf Link otwiera się w nowym oknie
Opis:: 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 (Pinus sylvestris 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; cold dry and cold humid) for a period of covering the next 100 years. Using the control scenario, the FORKOME model predicted that for the next 100 years pine stands will dominate in terms of biomass and number of trees. The warm-dry and warm-humid climate scenarios resulted in slightly reduced biomass of pine stands. However pine would still maintain its dominance, although with a noticeable increase in beech and fir biomass. Nevertheless, in term of the number of trees during the second half of the simulation, it is beech and fir that dominate stand 1 in Roztoczanski National Park. Under the climate cooling scenario (cold dry and cold humid), the biomass of pine and spruce would increase during the next 100 years. Pine trees that would dominate in terms of their numbers, although the number of spruce individuals also tends to increase. The results presented in the paper indicate that the FORKOME model is very useful when investigating different climate changes scenarios in the Roztocze region.
Dostawca treści:: Biblioteka Nauki

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