Abstract

Thaumetopoea processionea is a serious defoliator of oak and of medical concern whose abundance has consistently in- creased throughout Europe during the past two decades. This study validates a previously published frost day/temperature sum model for predicting time of egg hatch of this species using five years of recent field data from South-West Germany. This model proved satisfactory for predicting the time of egg hatch of T. processionea. Hence, the model was used to retrospectively predict the time of egg hatch of T. processionea in the Karlsruhe area, which indicates that the time of egg hatch has fluctuated over the past 130 years. In the last two decades, however, predicted time of egg hatch is much earlier than the long-term average due to the increase in winter and early spring temperatures. Comparison of predicted time of egg hatch of T. processionea and long-term records of the time of foliation of its common host Quercus robur revealed that in the study area the temporal advance in the timing of both events was similar. This is not in accordance with recently published research on spring-feeding folivores, which report a diverging trend in the timing of egg hatch and budburst of their host plants as a consequence of human-induced climate change.

Highlights

  • The prediction of the onset of active development of insect pests has long been used in applied forest, agricultural and horticultural research

  • Forecasting the effects of climate change on insect population dynamics relies on precise phenological modelling

  • The aim of this study was (1) to validate a model for predicting time of egg hatch in the spring-feeding oak defoliator and medical pest T. processionea and (2) to investigate if there is a temporal shift in the timing of egg hatch of T. processionea due to global warming, possibly resulting in a mismatch or even better match with oak foliation phenology

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Summary

Introduction

The prediction of the onset of active development of insect pests has long been used in applied forest, agricultural and horticultural research. Prediction of egg hatch is important in determining the most effective time to apply control measures. Forecasting the effects of climate change on insect population dynamics relies on precise phenological modelling. Further consequences of climate change are range expansions (Battisti et al, 2005), an increase in the number of broods in multivoltine species (Yamamura & Kiritani, 1998; Lange et al, 2006) or temporal disruption of herbivore/host, plant/pollinator and predator/prey systems (Visser et al, 1998; Visser & Holleman, 2001; Hegland et al, 2009; Donnelly et al, 2011), the latter presumably affecting specific population dynamics and pest potential (Williams & Liebhold, 2002; Donnelly et al, 2011)

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