Most wildfires in Kentucky occur in the heavily forested Appalachian counties in the eastern portion of the state. In the present study, we reconstructed a brief fire history of eastern Kentucky using Landsat Thematic Mapper and Enhanced Thematic Mapper Plus images acquired between 1985 and 2002. We then examined relationships between fire occurrence and area burned, and abiotic and human factors. Abiotic factors included Palmer Drought Severity Index, slope, aspect, and elevation, and human factors included county unemployment rates, distance to roads, and distance to populated places. Approximately 83% of the total burned area burned only once, 14% twice, and 3% thrice. More fires burned in the winter compared with the fall, but the latter fires were larger on average and accounted for ~71% of the total area burned. Fire size was negatively correlated with Palmer Drought Severity Index for certain times of the year. There were significant relationships between elevation and slope and fire occurrence, but not between aspect and fire occurrence. We found links between fire location and proximity to roads and settlements, but we found no correlations between monthly unemployment rates and arson-caused fires.
Remote sensing has been used to directly detect and map invasive plants, but has not been used for forest understory invaders because they are obscured by a canopy. However, if the invasive species has a leaf phenology distinct from native forest species, then temporal opportunities exist to detect the invasive. Amur honeysuckle, an Asian shrub that invades North American forests, expands leaves earlier and retains leaves later than native woody species. This research project explored whether Landsat 5 TM and Landsat 7 ETM+ imagery could predict Amur honeysuckle cover in woodlots across Darke and Preble Counties in southwestern Ohio and Wayne County in adjacent eastern Indiana. The predictive abilities of six spectral vegetation indices and six reflectance bands were evaluated to determine the best predictor or predictors of Amur honeysuckle cover. The use of image differencing in which a January 2001 image was subtracted from a November 2005 image provided better prediction of Amur honeysuckle cover than the use of the single November 2005 image. The Normalized Difference Vegetation Index (NDVI) was the best-performing predictor variable, compared to other spectral indices, with a quadratic function providing a better fit (R 2 5 0.75) than a linear function (R 2 5 0.65). This predictive model was verified with 15 other woodlots (R 2 5 0.77). With refinement, this approach could map current and past understory invasion by Amur honeysuckle. Nomenclature: Amur honeysuckle, Lonicera maackii (Rupr.) Herder.
Exposure to hydrogen peroxide 3% is usually benign, however, severe gastric injury may occur following small ingestions in children. Patients who report persistent vomiting or bloody emesis require medical evaluation and consideration of endoscopy to evaluate gastrointestinal injury.
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