作者: György Csóka , Anikó Hirka , Levente Szőcs , Norbert Móricz , Ervin Rasztovits
关键词: Atmospheric sciences 、 Aridity index 、 Population 、 Notodontidae 、 Abundance (ecology) 、 Global warming 、 Oak processionary 、 Lepidoptera genitalia 、 Precipitation 、 Biology
摘要: Population fluctuations of the well-known oak defoliator, processionary moth (Thaumetopoea processionea L.), were studied using light trap data and basic meteorological parameters (monthly average temperatures, precipitation) at three locations in Western Hungary over a period 15 years (1988-2012). The numbers caught by traps strongly synchronized. One possible explanation for this synchrony may be similar weather trapping locations. Cyclic Reverse Moving Interval Techniques (CReMIT) used to define time year that most influences catches. For period, we defined species specific aridity index Thaumetopoea (THAU-index). This explains 54.8-68.9% variation yearly catches, which indicates aridity, particularly May-July was major determinant population fluctuations. Our results predict an increasing future risk Oak Processionary Moth (OPM) outbreaks further spread if frequency severe spring/summer droughts increases with global warming.