scholarly journals Forest fuel bed ignitability under marginal fire weather conditions in Eucalyptus forests

2019 ◽  
Vol 28 (3) ◽  
pp. 198 ◽  
Author(s):  
Jane G. Cawson ◽  
Thomas J. Duff
Keyword(s):  
Weather Conditions ◽  
Field Method ◽  
Fire Weather ◽  
Theoretic Approach ◽  
Prescribed Burns ◽  
Information Theoretic ◽  
Logistic Regression Models ◽  
Spatial Coverage ◽  
Information Theoretic Approach ◽  
Fuel Moisture Content

Fires burning under marginal fire-weather conditions tend to be patchy in terms of their spatial coverage. This patchiness is partially driven by variability in the ignitability of the fuel bed. An understanding of fuel-bed ignitability through space and time would help fire managers to more effectively carry out prescribed burns to achieve desired levels of burn coverage in Eucalyptus forests. We sought to identify the key fuel-bed attributes influencing ignitability under marginal weather conditions. We recorded ignition successes and failures at 45 points within 5 operational prescribed burns and used the data to build logistic regression models to predict the probability of ignition as a function of fuel-bed attributes. Models were ranked using an information theoretic approach. The four highest ranked models explained 48–54% of the variance in ignitability. Surface fine-fuel moisture content (FFMC) and overall fuel hazard (i.e. fuel arrangement) were the strongest predictors of ignitability, occurring in all four highest ranking models. Both surface FFMC and overall fuel hazard were negatively related to ignition likelihood, contradicting a commonly assumed positive relationship between fuel hazard and flammability. Our field method to measure ignition success could be applied across more prescribed burns to develop operationally useful models of ignitability.

Habitat selection by nesting and brood-rearing sharp-tailed grouse

2009 ◽  
Vol 87 (4) ◽  
pp. 326-336 ◽  
Author(s):  
Alicia D. Goddard ◽  
Russell D. Dawson ◽  
Michael P. Gillingham
Keyword(s):  
Spatial Scales ◽  
Conditional Logistic Regression ◽  
Habitat Type ◽  
Theoretic Approach ◽  
Information Theoretic ◽  
Logistic Regression Models ◽  
Brood Rearing ◽  
Shrub Steppe ◽  
Information Theoretic Approach ◽  
Selection Of

Breeding success is a critical component of population stability and is often influenced by the habitats used during the breeding season. Current hypotheses suggest that sharp-tailed grouse ( Tympanuchus phasianellus (L., 1758)) select nest and brood-rearing habitats that provide both lateral and overhead cover to avoid detection by predators. We examined the selection of nesting and brood-rearing habitats of sharp-tailed grouse at three spatial scales (landscape, patch, and site) in northeastern British Columbia using standard and conditional logistic regression models and an information–theoretic approach. At the patch and site scales, our results validate our predictions, as nesting females selected shrub–steppe habitats, greater shrub and grass cover, taller vegetation, and greater residual vegetation compared with random sites. Brood-rearing females selected for agricultural habitats during the early brood-rearing period (0–14 days), but did not show selection of any habitat type or site attribute during the late brood-rearing period (15–49 days). We suggest that the selection of shrub-dominated habitats by nesting females supports the hypothesis that females select sites and habitats that maximize concealment. We further suggest that selection of shrub-dominated habitat is occurring in response to changes in habitat conditions and availability, as natural grassland communities have diminished across the landscape.

SPCp1-01: Voice Activity Detection for VoIP-An Information Theoretic Approach

2006 ◽  
Author(s):  
R. V. Prasad ◽  
R. Muralishankar ◽  
S. Vijay ◽  
H. N. Shankar ◽  
Przemyslaw Pawelczak ◽  
...  
Keyword(s):  
Voice Activity Detection ◽  
Theoretic Approach ◽  
Activity Detection ◽  
Information Theoretic ◽  
Information Theoretic Approach ◽  
Voice Activity
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