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多普勒天气雷达成为沙漠蝗群追踪的变革性因素。

Doppler weather radars as a game changer in desert locust swarm tracking.

作者信息

Anjita N A, Indu J, Thiruvengadam P, Dixit Vishal, Rastogi Arpita, Arul Malar Kannan Bagavath Singh

机构信息

Department of Civil Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.

Interdisciplinary Programme in Climate Studies, Indian Institute of Technology Bombay, Powai, Mumbai, India.

出版信息

Sci Rep. 2024 Dec 30;14(1):31715. doi: 10.1038/s41598-024-81553-1.

DOI:10.1038/s41598-024-81553-1
PMID:39738301
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11685443/
Abstract

Desert locusts, notorious for their ruinous impact on agriculture, threaten over 20% of Earth's landmass, prompting billions in losses and global food scarcity concerns. With billions of these locusts invading agrarian lands, this is no longer a thing of the past. Recent invasions, such as those in India, where losses reached US$ 3 billion in 2019-20 alone, underscore the urgency of action. By tapping into the existing Doppler Weather Radar (DWR) infrastructure, originally deployed for meteorological applications, the present study demonstrates a systematic approach to distinctly identify and track concentrations of desert locust swarms in near real-time using single and dual-polarization radars. Findings reveal the potential to establish early warning systems with lead times of 5-7 h and spatial coverage of approximately 100 km, empowering timely mitigation efforts. In stark contrast to satellite imagery, often constrained by resolution limitations that impede swarm detection, DWRs offer unparalleled spatial and temporal resolution, rendering them indispensable tools in this endeavour. Harnessing radar capabilities within the current infrastructure, unleashes unparalleled ecological monitoring potential and fundamentally transform practices in managing migratory pest management practices. Embracing these technological advancements becomes imperative to safeguard agricultural landscapes, uphold global food security, and effectively mitigate the ecological threats posed by migratory pests.

摘要

沙漠蝗虫因对农业造成毁灭性影响而臭名昭著,威胁着地球超过20%的陆地,导致数十亿美元的损失,并引发全球对粮食短缺的担忧。数十亿只这种蝗虫入侵农田,这已不再是过去的事情。近期的蝗虫入侵事件,比如印度的蝗灾,仅在2019 - 20年期间损失就达到30亿美元,凸显了采取行动的紧迫性。通过利用最初用于气象应用的现有多普勒天气雷达(DWR)基础设施,本研究展示了一种系统方法,即使用单极化和双极化雷达近乎实时地清晰识别和跟踪沙漠蝗虫群的聚集情况。研究结果表明,有可能建立提前5 - 7小时预警且空间覆盖范围约为100公里的预警系统,从而使及时的减灾努力成为可能。与常常受分辨率限制而阻碍蝗虫群检测的卫星图像形成鲜明对比的是,多普勒天气雷达具有无与伦比的空间和时间分辨率,使其成为这项工作中不可或缺的工具。利用当前基础设施内的雷达能力,可释放出无与伦比的生态监测潜力,并从根本上改变管理迁徙性害虫的做法。采用这些技术进步对于保护农业景观、维护全球粮食安全以及有效减轻迁徙性害虫所带来的生态威胁至关重要。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a2/11685443/f5448edac7e0/41598_2024_81553_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a2/11685443/b43b94503536/41598_2024_81553_Fig1_HTML.jpg
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本文引用的文献

1
Application of Remote Sensing Data for Locust Research and Management-A Review.遥感数据在蝗虫研究与管理中的应用——综述
Insects. 2021 Mar 9;12(3):233. doi: 10.3390/insects12030233.
2
Plagues of Desert Locusts: Very Low Invasion Risk to China.沙漠蝗灾:对中国的入侵风险极低。
Insects. 2020 Sep 11;11(9):628. doi: 10.3390/insects11090628.
3
Seasonal abundance and survival of North America's migratory avifauna determined by weather radar.天气雷达决定了北美的候鸟迁徙的季节性丰度和生存。
Nat Ecol Evol. 2018 Oct;2(10):1603-1609. doi: 10.1038/s41559-018-0666-4. Epub 2018 Sep 17.
4
Sky Compass Orientation in Desert Locusts-Evidence from Field and Laboratory Studies.沙漠蝗虫的天空罗盘定向——来自野外和实验室研究的证据
Front Behav Neurosci. 2015 Dec 16;9:346. doi: 10.3389/fnbeh.2015.00346. eCollection 2015.
5
The migration of the desert locust (Schistocerca gregaria Forsk.). I. The behaviour of swarms. II. A theory of long-range migrations.沙漠蝗(Schistocerca gregaria Forsk.)的迁飞。I. 蝗群的行为。II. 远距离迁飞理论。
Philos Trans R Soc Lond B Biol Sci. 1951 May;235(625):163-290. doi: 10.1098/rstb.1951.0003.