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The paper presents a new variant of the wind damage risk model for forest stands in view of its application in the forests under private ownership. It was based on the following characteristics: average height, age and slenderness of the main tree species, stand density index, species composition, forest habitat type, as well as stand location in the region of the country and the volume of windbreaks, windfalls and deadwood in previous years. The latter characteristic in the new model variant is generated by the stand damage model. The new wind damage risk model variant determines the risk factor for individual stands ranging from 0 to 3. A higher value of the factor indicates a higher wind damage risk for the stand. The verification of the model was performed using the forest data from two counties (powiat) situated in the Podkarpackie Province. The wind damage risk factors obtained from the model are shown on numerical maps.
In June 2016, a hurricane damaged the forests of the Regional Directorate of the State Forests in Białystok (eastern Poland), resulting in the removal of approximately 1.9 million cubic meters of wind−fallen and wind−broken trees and deadwood by the end of 2018. The research material was obtained from the database of the State Forests Information System and used to assess the functioning of the wind damage risk model. The wind damage risk model determines the value of damage risk factor Wr for each stand ranging from 0 to 3; a higher value indicates a higher risk of damage to the stand. The damage risk factor allowed to create six damage risk classes, with a width of 0.5 each and to assign individual stands of the forest district to one of the classes. The areal share of damaged stands was calculated for each class. In 2015, i.e. before the hurricane, the share of stands in the highest damage risk class VI ranged from 0.1% to 3.5%. After the hurricane in 2016, the areal share of damaged stands was calculated for each class, the largest share (the largest damage) being in class VI, while the share of the most damaged stands were found in the following forest districts: Dojlidy – 71%, Supraśl – 79% and Żednia – 87%. In 9 other forest districts, the area of damaged stands in class VI also exceeded 70%. The wind damage risk model for the stand presented in the paper allows identifying stands where damage is very likely to occur, when the wind comes. This may limit the level of wind damage through, in the first place, the rebuilding of stands classified to the highest wind damage risk factor class.
W ostatnim czasie w różnych ośrodkach naukowych na świecie rośnie zainteresowanie globalnym problemem zanieczyszczenia nocnego nieba światłem sztucznym. Kwestia ta dotyczy szeroko pojętego życia biologicznego na Ziemi, w tym także roślin. Nie chodzi tylko o oświetlenie uliczne w bezpośrednim sąsiedztwie roślin. W dobie rozwijających się technologii coraz popularniejsze stają się malownicze aranżacje oświetlające rośliny w nocy. W artykule podjęto dyskusję, czy oświetlenie nocne może modyfikować metabolizm rośliny, wpływając na jej procesy wzrostu i rozwoju. Wskazano na udział światła w procesach fizjologicznych roślin, wyszczególniając barwniki absorbujące poszczególne zakresy długości fal elektromagnetycznych. Podkreślono dużą czułość fotoreceptorów. Opisano możliwe zaburzenia pod wpływem całonocnego oświetlania/ podświetlania roślin ze szczególnym uwzględnieniem fizjologii roślin drzewiastych, w tym sezonowości wzrostu. Wymieniono gatunki wrażliwe na przedłużanie fotoperiodu światłem sztucznym oraz zaproponowano, jak można zmniejszyć ryzyko uszkodzeń
A dynamic process of mortality of Norway spruce stands in south−west Poland, mainly in the Sudety Mts. was observed in 2015. It was associated with an insufficient amount of precipitation in the growing season. This process was intensified by the outbreak of insects, especially bark beetles. The aim of the paper was to verify the hypothesis that the application of the stand damage risk model allows to identify stands, which may possibly be predisposed to mortality, after a long−lasting drought in the growing season. The studies concerned the forests of the Wrocław Regional Directorate of State Forests (tab. 1). Their area covers 245,000 ha, the timber volume amounts to 83 million m³ (338 m³/ha) and the volume increment to 2.3 million m³ (9.4 m³/year/ha). The fraction of spruce is the largest (50.3%), ranging from 7.1% (Pieńsk Forest District) to 84.8% (Lądek−Zdrój Forest District). The average age of stands is 74 years, ranging from 56 (Pieńsk Forest District) to 85 years (Jawor Forest District). The drought in 2015 caused an increase in the dynamics of spruce decline. The ratio of harvested to model deadwood volume at a level of up to 5% was assumed the ‘norm’ that characterizes the process of natural spruce mortality. Values higher than normal mean a more intense process of tree mortality caused by external factors (e.g. hurricane winds, floods, droughts). In 2014, the harvested deadwood was below the norm in 15 forest districts (fig. 1). In 2015, the highest ratio values (above 20%) were reported in the Wałbrzych and Szklarska Poręba forest districts (fig. 1). In 2016, the harvest of deadwood in each forest district exceeded the norm, and the highest values were found in the Jawor (102.3%), Bardo Śląskie (83.3%) and Świdnica (69.7%) forest districts. In 2017, the highest ratios of harvested to model deadwood volume were reported in the Bardo Śląskie (117.2%), Jawor (83.6%), Henryków (83.5%) and Świdnica (67.1%) forest districts. The model was found to identify also the stands that are most threatened by droughts. These are stands in the highest damage risk factor Wr class. The highest percentage of deadwood in this damage class was in Jawor (88.8%), Bardo Śląskie (81.9%), Miękinia (79.4%), Świdnica (76.7%), Henryków (73.8) and Złotoryja (73.6%) forest districts. It was also shown that the average value of the measure of threat to forests Ms was 35, qualifying them as highly threatened (fig. 3). Forests characterized by the highest level of threat Ms>40 was found in five forest districts, while in nine others the level of threat was high. The forests of the Sudety Mts. are threatened by the decline and the main direct causes of this process was the long−lasting drought in the growing season, causing damage to the stands earlier weakened by wind and other factors.
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