Weather-dependent fluctuations in the abundance of the oak processionary moth, Thaumetopoea processionea (Lepidoptera: Notodontidae)

G. Csóka, Anikó Hirka, Levente Szocs, Norbert Móricz, Ervin Rasztovits, Zoltán Pödör

Research output: Article

2 Citations (Scopus)

Abstract

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

Original languageEnglish
Pages (from-to)249-255
Number of pages7
JournalEuropean Journal of Entomology
Volume115
DOIs
Publication statusPublished - jan. 1 2018

Fingerprint

Thaumetopoea
Notodontidae
moths
Quercus
weather
Lepidoptera
dry environmental conditions
meteorological parameters
light traps
Hungary
global warming
trapping
traps
drought
summer
temperature
methodology

ASJC Scopus subject areas

  • Insect Science

Cite this

Weather-dependent fluctuations in the abundance of the oak processionary moth, Thaumetopoea processionea (Lepidoptera : Notodontidae). / Csóka, G.; Hirka, Anikó; Szocs, Levente; Móricz, Norbert; Rasztovits, Ervin; Pödör, Zoltán.

In: European Journal of Entomology, Vol. 115, 01.01.2018, p. 249-255.

Research output: Article

Csóka, G. ; Hirka, Anikó ; Szocs, Levente ; Móricz, Norbert ; Rasztovits, Ervin ; Pödör, Zoltán. / Weather-dependent fluctuations in the abundance of the oak processionary moth, Thaumetopoea processionea (Lepidoptera : Notodontidae). In: European Journal of Entomology. 2018 ; Vol. 115. pp. 249-255.
@article{985b131f2cec45a9982186c333b9b65d,
title = "Weather-dependent fluctuations in the abundance of the oak processionary moth, Thaumetopoea processionea (Lepidoptera: Notodontidae)",
abstract = "Population fluctuations of the well-known oak defoliator, the oak processionary moth (Thaumetopoea processionea L.), were studied using light trap data and basic meteorological parameters (monthly average temperatures, and precipitation) at three locations in Western Hungary over a period of 15 years (1988-2012). The fluctuations in the numbers caught by the three traps were strongly synchronized. One possible explanation for this synchrony may be similar weather at the three trapping locations. Cyclic Reverse Moving Interval Techniques (CReMIT) were used to define the period of time in a year that most strongly influences the catches. For this period, we defined a species specific aridity index for Thaumetopoea processionea (THAU-index). This index explains 54.8-68.9{\%} of the variation in the yearly catches, which indicates that aridity, particularly in the May-July period was the major determinant of population fluctuations. Our results predict an increasing future risk of Oak Processionary Moth (OPM) outbreaks and further spread if the frequency of severe spring/summer droughts increases with global warming.",
keywords = "CReMIT-analysis, Data mining, Drought, Lepidoptera, Light trap, Moraneffect, Notodontidae, Oak defoliator, Population fluctuation, Thaumetopoea processionea",
author = "G. Cs{\'o}ka and Anik{\'o} Hirka and Levente Szocs and Norbert M{\'o}ricz and Ervin Rasztovits and Zolt{\'a}n P{\"o}d{\"o}r",
year = "2018",
month = "1",
day = "1",
doi = "10.14411/eje.2018.024",
language = "English",
volume = "115",
pages = "249--255",
journal = "European Journal of Entomology",
issn = "1210-5759",
publisher = "Czech Academy of Sciences",

}

TY - JOUR

T1 - Weather-dependent fluctuations in the abundance of the oak processionary moth, Thaumetopoea processionea (Lepidoptera

T2 - Notodontidae)

AU - Csóka, G.

AU - Hirka, Anikó

AU - Szocs, Levente

AU - Móricz, Norbert

AU - Rasztovits, Ervin

AU - Pödör, Zoltán

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Population fluctuations of the well-known oak defoliator, the oak processionary moth (Thaumetopoea processionea L.), were studied using light trap data and basic meteorological parameters (monthly average temperatures, and precipitation) at three locations in Western Hungary over a period of 15 years (1988-2012). The fluctuations in the numbers caught by the three traps were strongly synchronized. One possible explanation for this synchrony may be similar weather at the three trapping locations. Cyclic Reverse Moving Interval Techniques (CReMIT) were used to define the period of time in a year that most strongly influences the catches. For this period, we defined a species specific aridity index for Thaumetopoea processionea (THAU-index). This index explains 54.8-68.9% of the variation in the yearly catches, which indicates that aridity, particularly in the May-July period was the major determinant of population fluctuations. Our results predict an increasing future risk of Oak Processionary Moth (OPM) outbreaks and further spread if the frequency of severe spring/summer droughts increases with global warming.

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

KW - CReMIT-analysis

KW - Data mining

KW - Drought

KW - Lepidoptera

KW - Light trap

KW - Moraneffect

KW - Notodontidae

KW - Oak defoliator

KW - Population fluctuation

KW - Thaumetopoea processionea

UR - http://www.scopus.com/inward/record.url?scp=85054934493&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054934493&partnerID=8YFLogxK

U2 - 10.14411/eje.2018.024

DO - 10.14411/eje.2018.024

M3 - Article

AN - SCOPUS:85054934493

VL - 115

SP - 249

EP - 255

JO - European Journal of Entomology

JF - European Journal of Entomology

SN - 1210-5759

ER -