外来入侵昆虫数字化野外调查平台构建与应用
Construction and application of a digital field investigation platform for invasive alien insects
陈 宏，冼晓青，谢 骞，张桂芬，刘万学，赵 健
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DOI：10.7679/j.issn.2095-1353.2023.094
作者单位：福建省农业科学院数字农业研究所，福州 350003
中文关键词：入侵昆虫；调查平台；调查规划；标本管理；时空可视化；番茄潜叶蛾
英文关键词：invasive alien insects; investigation platform; investigation planning; specimen management; spatio-temporal visualization; Tuta absoluta
中文摘要：
【目的】 实现外来入侵昆虫野外调查信息的一体化、规范化采集，提高调查数据质量和效率，为外来入侵昆虫研究和防控提供科学、精准的数据支撑。【方法】 综合运用地理信息系统、移动开发以及时空数据可视化等技术手段，研发由野外调查APP和调查数据管理系统构成的外来入侵昆虫数字化野外调查平台，构建完善的外来入侵昆虫野外调查数字化集成解决方案。【结果】 平台具备调查规划、调查任务协作、调查数据采集、标本标签化管理和调查数据时空可视化等功能，实现入侵昆虫野外调查全过程数字化管理。2017-2020年，该平台在全国番茄潜叶蛾Tuta absoluta发生分布调查中得以应用，调查涉及11个省区共采集番茄潜叶蛾发生点数据706条。【结论】 平台的构建与应用能够有效解决外来入侵昆虫调查组织与实施的数字化管理问题，提高外业调查和内业数据处理、分析的效率，增强各类型调查数据之间的关联，扩展数据应用与分析的尺度。本研究提出的技术方案为外来入侵物种调查与数据应用提供重要参考。
英文摘要：
[Objectives] To promote the integration and standardization of the collection of field data on invasive insects, improve the quality and efficiency of data collection, and provide scientific support for research on the prevention and control of these pests. [Methods] The digital field investigation platform for invasive alien insects is comprised of a field investigation APP and data management system and was developed using a geographic information system, mobile development, spatiotemporal data visualization, and other technical methods. The result is an integrated, digital, solution for investigating invasive insects in the field. [Results] The platform has multiple functions, including investigation planning, task collaboration, data collection, specimen labeling, and the spatiotemporal visualization of data to realize the digital management of the whole process of field investigation. The platform was used to investigate the occurrence and distribution of Tuta absoluta nationwide from 2017 to 2020. This investigation contained a total of 706 records on the occurrence and distribution of T. absoluta in 11 provinces. [Conclusion] The development of a digital field investigation platform has effectively solved the problem of the digital management of data on invasive alien insects, thereby improving the efficiency of field investigation and data analysis. The platform also enhances the integration of various types of data, thereby expanding the scope of data analysis, making it a valuable tool for investigating invasive insects in the field.