Phenological changes in the bean bug (Riptortus pedestris) as a result of climate change

Monday, November 17, 2014
Exhibit Hall C (Oregon Convention Center)
Hyoseok Lee , Seoul National University, Seoul, South Korea
Jong Kook Jung , Entomology program, Department of Agricultural Biotechnology, Seoul National University, Seoul, South Korea
Jae Seong Im , Entomology Program, Department of Agricultural Biotechnology, Seoul National University, Seoul, South Korea
Sun Kyung Lee , Entomology program, Department of Agricultural Biotechnology, Seoul National University, Seoul, South Korea
JinGu Lee , Gyeonggi-do Agricultural Research and Extension Services, Gyeonggi-do, South Korea
Kyung-Hee Choi , Apple Research Station, National Institute of Herbal and Horticultural science, Gyeongsangbuk-do, South Korea
Joon-Ho Lee , Entomology program, Department of Agricultural Biotechnology, Seoul National University, Seoul, South Korea
The bean bug, Riptortus pedestris (Fabricius) (Hemiptera: Alydidae) is an important pest of leguminous crops as well as fruit trees in Korea. R. pedestirs has three generations a year and overwinters as an adult in Korea. R. pedestris has a vigorous flight pattern and a wide range of host plants. The flight ability and the wide range of host plants enable R. pedestris to migrate easily to other habitat. The characteristics make it hard to control R. pedestris. Climate change would affect developmental rates of R. pedestris thus it changes the phenology of R. pedestris. In this study, computer simulation models were used to predict the changes of R. pedestris occurrence patterns decennially from the 2000s to the 2090s. We used climate change scenarios National Institution of Meteorological Research (NIMR) provides in South Korea by downscaling the Representative Concentration Pathways (RCPs) scenarios for the predictions. The computer simulation models were modeled with R 3.0.3 and maps were generated using ArcGIS 10.0. The predictions showed that spring emergence times of R. pedestris would be gradually advanced and the number of generations would be increased under climate change.