Plume Dispersion in Four Pine Thinning Scenarios: Development of a Simple Pheromone Dispersion ModelVolume 16, No. 4, 2010 • Manuscript
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Environmental science, environment, USDA Forest Service, University of Montana, mountain pine beetle, Montana Tech of the University of Montana, Forestry, Botany, air dispersion modeling, dispersion, pheromone, Environmental Engineering Department, Environmental Engineering, pheromones, bark beetle communication systems, Forest Ecology and Management, Winnfield, Louisiana, forest, pheromone dispersion, pheromone dispersion model, simple pheromone dispersion model, dispersion pine thinning scenarios, plume dispersion pine thinning, tracer experiments, forest canopy, stand density, bark beetle, Winn District, Kisatchie National Forest, LA
A unique field campaign was conducted in 2004 to examine how changes in stand density may affect dispersion of insect pheromones in forest canopies. Over a 14-day period, 126 tracer tests were performed, and conditions ranged from an unthinned loblolly pine (Pinus taeda) canopy through a series of thinning scenarios with basal areas of 32.1, 23.0, and 16.1 m2ha-1. In this paper, one case study was used to visualize the nature of winds and plume diffusion. Also, a simple empirical model was developed to estimate maximum average concentration as a function of downwind distance, travel time, wind speed, and turbulence statistics at the source location. Predicted concentrations from the model were within a factor of 3 for 82.1 percent and 88.1 percent of the observed concentrations at downwind distances of 5 and 10 m, respectively. In addition, the model was used to generate a field chart to predict optimum spacing in arrays of anti-aggregation pheromone dispensers.
This work was supported under USDA-FS-FHTET-FHP-TD.00.M03., USDA-FS-RWU-4501 and USDA-FSRegion 8, Forest Health Protection.
Peterson, H. G., Thistle, H. W., Lamb, B., Allwine, G., Edburg, S., & Strom, B. 2010. Plume Dispersion in Four Pine Thinning Scenarios: Development of a Simple Pheromone Dispersion Model. Intermountain Journal of Sciences 16(4):73-86.