2019
DOI: 10.14393/sn-v30n3-2018-3
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Simulação do comportamento do fogo em cultivo de Eucalypyus urograndis (Clone H13)

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“…The available fuel material was characterized by random collection of samples of 1.0 m², at most 3.0 m from the subplots, on the same planting line and on the same day as the controlled burning, with one sample per subplot. The average thickness of the combustible material layer (litter) was obtained, with subsequent separation of the plant partitions in the classes: i) dead (dry) combustible material: leaves, barks, thin branches with diameter (d) <0.7 cm and branches mean 0.7 ≤ d ≤ 2.5 cm; and ii) live (moist) combustible material composed of herbaceous and grassy plants (ALVES et al, 2017;ALVES et al, 2018). The classes of the combustible material were weighed in the fi eld to obtain the fresh wet mass.…”
Section: Methodsmentioning
confidence: 99%
“…The available fuel material was characterized by random collection of samples of 1.0 m², at most 3.0 m from the subplots, on the same planting line and on the same day as the controlled burning, with one sample per subplot. The average thickness of the combustible material layer (litter) was obtained, with subsequent separation of the plant partitions in the classes: i) dead (dry) combustible material: leaves, barks, thin branches with diameter (d) <0.7 cm and branches mean 0.7 ≤ d ≤ 2.5 cm; and ii) live (moist) combustible material composed of herbaceous and grassy plants (ALVES et al, 2017;ALVES et al, 2018). The classes of the combustible material were weighed in the fi eld to obtain the fresh wet mass.…”
Section: Methodsmentioning
confidence: 99%