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DocumentApplication of needle punch technique in bamboo-based medium density fibre board
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The Fiber boards were prepared using D. strictus as lignocellulosic fibre and phenol formaldehyde (conc.8 %) as resin with three different pressures i.e. 14, 17.5 and 21 kg/cm2 for 15 minutes hot pressing at 150 0C. Simultaneously, needle punching treatments were applied on resin blended bamboo fibres during the mat formation i.e., one, two, three and four times punching. The physical and mechanical properties i.e. density, moisture content, water absorption, general swelling, surface absorption, modulus of rupture, tensile strength perpendicular to grain (internal bond strength) and screw withdrawal strength of both type (punching and non-punching) MDF boards were tested as per Indian Standard specification IS: 12406. The results revealed that the physical and mechanical properties of MDF board were significantly improved by needle punch technique and the board made from bamboo (D. strictus) using three-time needle punching with pressed at 21 kg/cm2 specific pressures were meet the requirements of Indian Standard specification IS: 12406. Keywords: Innovation ID: 3486104 -
ArticleDesertification combating and ecological restoration of selected acacia species from sub-sahara, savanna regions
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The Acacia species are widely distributed in the Sub-Sahara, Savanna regions and are of significant importance in terms of ecological remediation, afforestation programming, and economic value. Seed dormancy is common in Acacia species, and it creates difficulties in seed testing and planting. The initial aim of the current study was to assess the influence of a different temperature and different levels of water potential for germination based on the hydrothermal time models that had been successfully prophesying germination demand in several threat categories. Seeds of four Acacia species were treated at different temperature (15°C, 20°C, 25°C, 30°C and 35°C) and different levels of osmotic stress (0, -.4, -0.8, and -1.2 MPa). The results revealed that the degree of dormancy variation among the species, they were 81% for A. nilotica, 74% for A. seyal, 15% for A. mellifera, and 5% for A. senegal. Whereas, the optimal temperatures responded is 25°C for A. seyal, and A. senegal, A. nilotica, and 20°C for A. mellifera. Therefore, there are negative correlations appeared within germination percentages and water potential, . seyal, and A. senegal was displayed a drought-tolerant significantly lower levels of water stress. In contrast, A. nilotica and A. mellifera indicated less drought-tolerant of promoting water stress. Keywords: Acacia, Temperature, Water Stress, Hydrothermal Time, Germination, Drought, Restoration ID: 3618104 -
DocumentModelling pine and spruce wood mechanical properties in different initial stand density plantations in Lithuania
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Two main parameters of wood quality in constructions are wood modulus of elasticity (MOE) and bending strength (MOR). To understand what kind of quality wood we are growing in our forests and how environment and forest management could affect wood quality parameters, we need to model these parameters by stand, tree, and sample results. This would help to predict MOE and MOR for the future stands.
To determine the influence of stand density and thinning intensity on wood mechanical and physical properties of Scots pine and Norway spruce, the data was obtained from experimental trials plots, which were established in 1990 by Institute of Forestry. The experimental object was divided to a smaller trial plots with different initial stand density: 2 plots with 3000-4400 trees per hectare, 2 plots with 2000-2400 trees per hectare, 2 plots with 1000-1200 trees per hectare. In these trial plots different thinning programs were used 3; 2; 1 time. From each trial plot 6 model trees were chosen (38 Spruce and 76 Pine trees).
Models were created by SAS statistical package. General linear regression models were chosen to create 4 models for prediction of: dynamic modulus of elasticity for log (MOElog); dynamic modulus of elasticity for samples (MOEdyn); global static modulus of elasticity (MOE) and bending strength (MOR) All parameters for creating models were chosen as random effects. Stand parameter was stand density (SD). Tree parameters were diameter at breast high (DBH), competition index (CI), average ring width (RD), average ring density (RD) and log high (LH). Sample parameters were knot at fracture point (K) and sample wood density (WD).
Best result for MOE models was in pine stand R2=0,82 spruce stand R2=0,85. R2=0,57 was in pine stand for MOR and R2=0,65 in spruce stand. Keywords: Sustainable forest management, Research ID: 3484790
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