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

机译:模拟德国中部和北部的冬蛾和斑驳的天蛾的种群波动

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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.
机译:背景:冬季蛾(Operophtera brumata)和斑驳的琥珀蛾(Erannis defoliaria)是鳞翅目森林的鳞翅目物种,其特征是在7-11年的周期内周期性地高丰度。在暴发期间,它们在欧洲的许多林分中造成严重的落叶。为了更好地理解时空动态并阐明天气,林分和工地条件的可能影响,开发了一个广义的加法混合模型。调查的数据库来自德国中部和北部两个物种的胶带捕获监测站。从胶粘带仅算出雌蛾个体,并计算出危险代码。该模型可用于预测该危险代码的警告阈值的超出情况,该阈值表明来年春季冬季蛾和斑驳的琥珀可能会严重破坏橡木林的落叶。结果:开发的模型考虑了三个特定的时间结构效应较大的生态区和展位水平的随机影响。在变量选择过程中,确定了害虫控制的消极模型效应,成年平均日最低温度和p早期降水的正模型效应。德国中部和北部。这些预测对天气条件和人口动态很敏感。然而,将来数据库的扩展包括更多的爆发年将允许对循环动力学的时间和区域模式及其对冬蛾和斑驳的数量丰富的因果关系进行更深入的研究。

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