Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
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  • 英文篇名:Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany
  • 作者:Anika ; Hittenbeck ; Ronald ; Bialozyt ; Matthias ; Schmidt
  • 英文作者:Anika Hittenbeck;Ronald Bialozyt;Matthias Schmidt;Northwest German Forest Research Institute;
  • 英文关键词:Operophtera brumata;;Erannis defoliaria;;Generalized additive mixed model;;Weather effect;;Insect pest outbreaks
  • 中文刊名:BLDX
  • 英文刊名:森林生态系统(英文版)
  • 机构:Northwest German Forest Research Institute;
  • 出版日期:2019-03-15
  • 出版单位:Forest Ecosystems
  • 年:2019
  • 期:v.6
  • 基金:part of DSS-RiskMan(FKZ:28WB401501);; a project funded by the “Waldklimafonds”;; supported by the Federal Ministry of Food and Agriculture;; the Federal Ministry of the Environment,Nature Conservation and Nuclear Safety
  • 语种:英文;
  • 页:BLDX201901004
  • 页数:18
  • CN:01
  • ISSN:10-1166/S
  • 分类号:40-57
摘要
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.
        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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