A Simple Model to Predict Scalar Dispersion within a Successively Thinned Loblolly Pine Canopy

Authors

Steven L. Edburg, Washington State UniversityFollow
Gene Allwine, Washington State University
Brian Lamb, Washington State University
David Stock, Washington State University
Harold Thistle, U.S. Department of Agriculture Forest Service
Holly Peterson, Montana College of Mineral Science and Technology
Brian Strom, U.S. Department of Agriculture Forest Service

Document Type

Article

Date of this Version

2010

Citation

Journal of Applied Meteorology and Climatology (49) 9 (September 2010) pp. 1913-1926; DOI: 10.1175/2010JAMC2339.1

Comments

Copyright 2010 American Meteorological Society

Abstract

Bark beetles kill millions of acres of trees in the United States annually by using chemical signaling to attack host trees en masse. As an attempt to control infestations, forest managers use synthetic semiochemical sources to attract beetles to traps and/or repel beetles from high-value resources such as trees and stands. The purpose of this study was to develop a simple numerical technique that may be used by forest managers as a guide in the placement of synthetic semiochemicals. The authors used a one-dimensional, one-equation turbulence model (k–l_m) to drive a three-dimensional transport and dispersion model. Predictions were compared with observations from a unique tracer gas experiment conducted in a successively thinned loblolly pine canopy. Predictions of wind speed and turbulent kinetic energy compared well with observations. Scalar concentration was predicted well and trends of maximum observed concentration versus leaf area index were captured within 30 m of the release location. A hypothetical application of the numerical technique was conducted for a 12-day period to demonstrate the model’s usefulness to forest managers.