Plant pest invasions, as seen through news and social media
Plant pest invasions, as seen through news and social media
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DOI：
10.1016/j.compenvurbsys.2022.101922
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发表时间：
2022-12-28
影响因子：
6.8
通讯作者：
Shukunobe，Makiko
中科院分区：
文献类型：
--
作者：
Tateosian，Laura G.;Saffer，Ariel;Shukunobe，Makiko
外来害虫侵入新的地理区域可能对森林和农业系统造成重大干扰。早期反应可以大大改善遏制工作，强调收集有关观察到有害生物物种的位置的最新信息的重要性。然而，现有的入侵物种数据库在范围和速度上都有局限性。空间范围受到成本的限制，物种建立，官方记录和整合之间存在延迟。当地在线新闻媒体有潜力提供全球补充空间报道，社交媒体有潜力提供直接观察和更密集的历史数据用于建模。从这些在线来源收集数据提出了自己的挑战，他们的潜在贡献的历史跟踪害虫入侵以前没有被测试。为此，我们研究了使用三个在线聚合器，全球事件，语言和音调数据库（GDELT），谷歌新闻和商业媒体收听平台，品牌观察，以支持害虫生物监测的实际考虑。使用这些工具，我们调查的存在和入侵物种在这些来源中的令人信服的提及的性质进行案例研究的在线新闻和Twitter摘录关于两个入侵植物害虫，斑点灯笼蝇和Tuta绝对。我们使用过去数据的结果表明，在线新闻和社交媒体可能提供有价值的数据流，以补充描述害虫入侵的官方来源。
Invasion by exotic pests into new geographic areas can cause major disturbances in forest and agricultural systems. Early response can greatly improve containment efforts, underscoring the importance of collecting up-to-date information about the locations where pest species are being observed. However, existing invasive species databases have limitations in both extent and rapidity. The spatial extent is limited by costs and there are delays between species establishment, official recording, and consolidation. Local online news outlets have the potential to provide supplemental spatial coverage worldwide and social media has the potential to provide direct observations and denser historical data for modeling. Gathering data from these online sources presents its own challenges and their potential contribution to historical tracking of pest invasions has not previously been tested. To this end, we examine the practical considerations for using three online aggregators, the Global Database of Events, Language and Tone (GDELT), Google News, and a commercial media listening platform, Brandwatch, to support pest biosurveillance. Using these tools, we investigate the presence and nature of cogent mentions of invasive species in these sources by conducting case studies of online news and Twitter excerpts regarding two invasive plant pests, Spotted Lanternfly and Tuta absoluta. Our results using past data demonstrate that online news and social media may provide valuable data streams to supplement official sources describing pest invasions.