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入侵昆虫的物候学绘图:监测与管理的决策支持

Phenological Mapping of Invasive Insects: Decision Support for Surveillance and Management.

作者信息

Barker Brittany S, Coop Leonard

机构信息

Oregon Integrated Pest Management Center, Oregon State University, 4575 Research Way, Corvallis, OR 97333, USA.

Department of Horticulture, Oregon State University, 4017 Agriculture and Life Sciences Building, Corvallis, OR 97333, USA.

出版信息

Insects. 2023 Dec 22;15(1):6. doi: 10.3390/insects15010006.

Abstract

Readily accessible and easily understood forecasts of the phenology of invasive insects have the potential to support and improve strategic and tactical decisions for insect surveillance and management. However, most phenological modeling tools developed to date are site-based, meaning that they use data from a weather station to produce forecasts for that single site. Spatial forecasts of phenology, or phenological maps, are more useful for decision-making at area-wide scales, such as counties, states, or entire nations. In this review, we provide a brief history on the development of phenological mapping technologies with a focus on degree-day models and their use as decision support tools for invasive insect species. We compare three different types of phenological maps and provide examples using outputs of web-based platforms that are presently available for real-time mapping of invasive insects for the contiguous United States. Next, we summarize sources of climate data available for real-time mapping, applications of phenological maps, strategies for balancing model complexity and simplicity, data sources and methods for validating spatial phenology models, and potential sources of model error and uncertainty. Lastly, we make suggestions for future research that may improve the quality and utility of phenological maps for invasive insects.

摘要

易于获取且易于理解的入侵性昆虫物候预测,有潜力为昆虫监测与管理的战略及战术决策提供支持并加以改进。然而,迄今为止开发的大多数物候建模工具都是基于站点的,也就是说它们利用气象站的数据来生成该单个站点的预测。物候的空间预测,即物候图,对于在县、州或整个国家等区域尺度上的决策更为有用。在本综述中,我们简要介绍了物候制图技术的发展历程,重点是度日模型及其作为入侵性昆虫物种决策支持工具的应用。我们比较了三种不同类型的物候图,并使用基于网络平台的输出结果进行举例,这些平台目前可用于对美国本土的入侵性昆虫进行实时制图。接下来,我们总结了可用于实时制图的气候数据来源、物候图的应用、平衡模型复杂性与简单性的策略、验证空间物候模型的数据来源和方法,以及模型误差和不确定性的潜在来源。最后,我们对未来的研究提出建议,这些研究可能会提高入侵性昆虫物候图的质量和实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1846/10816952/776fd8229dd1/insects-15-00006-g004.jpg

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