Use of lindgren trap data in annual forest management planning on individual forests

摘要

Undgren funnel trap data was used to predict Southern Pine Beetle (SPB) buildups following Hurricane Hugo on a 3033 hectares pine forest located near Georgetown, South Carolina. lindgren funnel trap data was collected from four widely dispersed traps for six to eight weeks each spring from 1990 to 1994. Color aerial infra-red (IR) photographs were taken after each respective growing season through 1993. SPB to Clerid beetle (CB) ratios, and SPB per trap per day counts, were used to predict the potential for SPB outbreak for the current growing season each year. Trap ratios successfully indicated a SPB outbreak in the 1990 growing season and indicated relatively endemic populations during the remaining evaluation years. Comparison of SPB percent and SPB counts from the Lindgren traps to SPB spot frequency by size class from aerial photographs, for each growing season, indicated that lindgren traps may provide a low cost method for predicting surveillance and control needs as a part of forest management planning each season. Four years of trap data was insufficient to evaluate long range trends in population cycles, therefore this study only evaluated their utility in short range (seasonal) management planning. However use of trap data appears tobe effective for prediction of seasonal beetle trends