Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany

Abstract Background Winter moth (Operophtera brumata) and mottled umber moth (Erannis defoliaria) are forest Lepidoptera species characterized by periodic high abundance in a 7–11 year cycle. During outbreak years they cause severe defoliation in many forest stands in Europe. In order to better unde...

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Main Authors: Anika Hittenbeck, Ronald Bialozyt, Matthias Schmidt
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-01-01
Series:Forest Ecosystems
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40663-019-0162-6
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author Anika Hittenbeck
Ronald Bialozyt
Matthias Schmidt
author_facet Anika Hittenbeck
Ronald Bialozyt
Matthias Schmidt
author_sort Anika Hittenbeck
collection DOAJ
description Abstract Background Winter moth (Operophtera brumata) and mottled umber moth (Erannis defoliaria) are forest Lepidoptera species characterized by periodic high abundance in a 7–11 year cycle. During outbreak years they cause severe defoliation in many forest stands in Europe. In order to better understand the spatio-temporal dynamics and elucidate possible influences of weather, stand and site conditions, a generalized additive mixed model was developed. The investigated data base was derived from glue band catch monitoring stands of both species in Central and North Germany. From the glue bands only female moth individuals are counted and a hazard code is calculated. The model can be employed to predict the exceedance of a warning threshold of this hazard code which indicates a potential severe defoliation of oak stands by winter moth and mottled umber in the coming spring. Results The developed model accounts for specific temporal structured effects for three large ecoregions and random effects at stand level. During variable selection the negative model effect of pest control and the positive model effects of mean daily minimum temperature in adult stage and precipitation in early pupal stage were identified. Conclusion The developed model can be used for short-term predictions of potential defoliation risk in Central and North Germany. These predictions are sensitive to weather conditions and the population dynamics. However, a future extension of the data base comprising further outbreak years would allow for deeper investigation of the temporal and regional patterns of the cyclic dynamics and their causal influences on abundance of winter moth and mottled umber.
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spelling doaj.art-ceb2e0b1246543389d83ef4fb9ee67552023-01-02T18:29:13ZengKeAi Communications Co., Ltd.Forest Ecosystems2197-56202019-01-016111810.1186/s40663-019-0162-6Modelling the population fluctuation of winter moth and mottled umber moth in central and northern GermanyAnika Hittenbeck0Ronald Bialozyt1Matthias Schmidt2Northwest German Forest Research InstituteNorthwest German Forest Research InstituteNorthwest German Forest Research InstituteAbstract Background Winter moth (Operophtera brumata) and mottled umber moth (Erannis defoliaria) are forest Lepidoptera species characterized by periodic high abundance in a 7–11 year cycle. During outbreak years they cause severe defoliation in many forest stands in Europe. In order to better understand the spatio-temporal dynamics and elucidate possible influences of weather, stand and site conditions, a generalized additive mixed model was developed. The investigated data base was derived from glue band catch monitoring stands of both species in Central and North Germany. From the glue bands only female moth individuals are counted and a hazard code is calculated. The model can be employed to predict the exceedance of a warning threshold of this hazard code which indicates a potential severe defoliation of oak stands by winter moth and mottled umber in the coming spring. Results The developed model accounts for specific temporal structured effects for three large ecoregions and random effects at stand level. During variable selection the negative model effect of pest control and the positive model effects of mean daily minimum temperature in adult stage and precipitation in early pupal stage were identified. Conclusion The developed model can be used for short-term predictions of potential defoliation risk in Central and North Germany. These predictions are sensitive to weather conditions and the population dynamics. However, a future extension of the data base comprising further outbreak years would allow for deeper investigation of the temporal and regional patterns of the cyclic dynamics and their causal influences on abundance of winter moth and mottled umber.http://link.springer.com/article/10.1186/s40663-019-0162-6Operophtera brumataErannis defoliariaGeneralized additive mixed modelWeather effectInsect pest outbreaks
spellingShingle Anika Hittenbeck
Ronald Bialozyt
Matthias Schmidt
Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
Forest Ecosystems
Operophtera brumata
Erannis defoliaria
Generalized additive mixed model
Weather effect
Insect pest outbreaks
title Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
title_full Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
title_fullStr Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
title_full_unstemmed Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
title_short Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
title_sort modelling the population fluctuation of winter moth and mottled umber moth in central and northern germany
topic Operophtera brumata
Erannis defoliaria
Generalized additive mixed model
Weather effect
Insect pest outbreaks
url http://link.springer.com/article/10.1186/s40663-019-0162-6
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