Abstract
A forecasting method for the emergence of the golden apple snail, Pomacea canaliculata (Lamarck), by using temperature data from the AMeDAS (Automated Meteorological Data Acquisition System), was examined in Chiba Prefecture.
The observation of emergence rate of the golden apple snail was carried out at 70 fixed investigation points over the prefecture from 2002 to 2011. The rate of the number of points where more than one individual of the golden apple snail had been observed showed a significant positive correlation (r=0.79, P<0.01)with mean temperature (from December to February). The regression formula, y=2.9557x-10.89 (y: the rate of emergence, x: mean winter temperature), is applicable to forecasting for emergence of the golden apple snail in late May or early June.
