An integrative phenology and climatic suitability model for emerald ash borer

Brittany S. Barker, L. Coop, J. Duan, T. Petrice
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Abstract

Decision support models that predict both when and where to expect emerald ash borer (EAB), Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), are needed for the development and implementation of effective management strategies against this major invasive pest of ash (Fraxinus species) in North America and other regions such as Europe. We present a spatialized model of phenology and climatic suitability for EAB for use in the Degree-Days, Risk, and Phenological event mapping (DDRP) platform, which is an open-source decision support tool to help detect, monitor, and manage invasive threats.We evaluated the model using presence records from three geographic regions (China, North America, and Europe) and a phenological dataset consisting primarily of observations from the northeastern and midwestern United States. To demonstrate the model, we produced phenological event maps for a recent year and tested for trends in EAB’s phenology and potential distribution over a recent 20-year period.Overall, the model exhibited strong performance. Presence was correctly estimated for over 99% of presence records and predicted dates of adult phenological events corresponded closely with observed dates, with a mean absolute error of ca. 7 days and low estimates of bias. Climate stresses were insufficient to exclude EAB from areas with native Fraxinus species in North America and Europe; however, extreme weather events, climate warming, and an inability for EAB to complete its life cycle may reduce suitability for some areas. Significant trends toward earlier adult emergence over 20 years occurred in only some areas.Near real-time model forecasts for the conterminous United States are available at two websites to provide end-users with decision-support for surveillance and management of this invasive pest. Forecasts of adult emergence and egg hatch are particularly relevant for surveillance and for managing existing populations with pesticide treatments and parasitoid introductions.
绿灰螟物候与气候适宜性综合模型
在北美和欧洲等其他地区,制定和实施有效的管理策略是需要决策支持模型来预测何时何地会发生翠绿灰螟虫(Agrilus planipennis Fairmaire)(鞘翅目:bupredae)。我们提出了一个用于EAB的物候和气候适应性的空间化模型,用于度日、风险和物候事件映射(DDRP)平台,该平台是一个开源的决策支持工具,有助于检测、监测和管理入侵性威胁。我们使用来自三个地理区域(中国、北美和欧洲)的存在记录和主要由美国东北部和中西部观测组成的物候数据集来评估该模型。为了证明该模型,我们制作了最近一年的物候事件图,并测试了近20年来EAB物候和潜在分布的趋势。总体而言,该模型表现出较强的性能。对99%以上的存在记录进行了正确估计,成虫物候事件的预测日期与观测日期密切相关,平均绝对误差约为7天,估计偏倚较低。气候压力不足以将EAB排除在北美和欧洲有原生曲霉种的地区;然而,极端天气事件、气候变暖以及EAB无法完成其生命周期可能会降低某些地区的适用性。在过去的20年里,只有一些地区出现了明显的成人早熟趋势。有两个网站提供美国邻近地区的近实时模型预报,以便为监测和管理这种侵入性有害生物的最终用户提供决策支持。成虫羽化和卵孵化的预测对于监测和通过杀虫剂处理和引入寄生虫管理现有种群特别重要。
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