Easy RIDER: Real-time IDentification for Ecological Research and Monitoring

Easy RIDER:生态研究和监测的实时识别

基本信息

  • 批准号:
    NE/W004216/1
  • 负责人:
  • 金额:
    $ 12.78万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2021
  • 资助国家:
    英国
  • 起止时间:
    2021 至 无数据
  • 项目状态:
    已结题

项目摘要

Insects are the little things that run the world (E.O. Wilson). With increasing recognition of the importance of insects as the dominant component of almost all ecosystems, there are growing concerns that insect biodiversity has declined globally, with serious consequences for the ecosystem services on which we all depend. Major gaps in knowledge limit progress in understanding the magnitude and direction of change, and hamper the design of solutions. Information about insects trends is highly fragmented, and time-series data is restricted and unrepresentative, both between different groups of insects (e.g. lepidoptera vs beetles vs flies) and between different regions. Critically, we lack primary data from the most biodiverse parts of the world. For example, insects help sustain tropical ecosystems that play a major role in regulating the global climate system and the hydrological cycle that delivers drinking water to millions of people. To date, progress in insect monitoring has been hampered by many technical challenges. Insects are estimated to comprise around 80% of all described species, making it impossible to sample their populations in a consistent way across regions and ecosystems. Automated sensors, deep learning and computer vision offer the best practical and cost-effective solution for more standardised monitoring of insects across the globe. Inter-disciplinary research teams are needed to meet this challenge.Our project is timely to help UK researchers to develop new international partnerships and networks to underpin the development of long-term and sustainable collaborations for this exciting, yet nascent, research field that spans engineering, computing and biology. There is a pressing need for new research networks and partnerships to maximize potential to revolutionise the scope and capacity for insect monitoring worldwide. We will open up this research field through four main activities:(a) interactive, online and face-to-face engagement between academic and practitioner stakeholders, including key policy-makers, via online webinars and at focused knowledge exchange and grant-writing workshops in Canada and Europe; (b) a knowledge exchange mission between the UK and North America, to share practical experience of building and deploying sensors, develop deep learning and computer vision for insects, and to build data analysis pipelines to support research applications; (c) a proof-of-concept field trial spanning the UK, Denmark, The Netherlands, Canada, USA and Panama. Testing automated sensors against traditional approaches in a range of situation;(d) dissemination of shared learning throughout this project and wider initiatives, building a new community of practice with a shared vision for automated insect monitoring technology to meet its worldwide transformational potential.Together, these activities will make a significant contribution to the broader, long-term goal of delivering the urgent need for a practical solution to monitor insects anywhere in the world, to ultimately support a more comprehensive assessment of the patterns and consequences of insect declines, and impact of interventions. By building international partnerships and research networks we will develop sustainable collaborations to address how to quantify the complexities of insect dynamics and trends in response to multiple drivers, and evaluate the ecological and human-linked causes and consequences of the changes. Crucially, this project is a vital stepping-stone to help identify solutions for addressing the global biodiversity crisis as well as research to understand the biological impacts of climate change and to design solutions for sustainable agriculture. Effective insect monitoring underpins the evaluation of future socio-economic, land-use and climate mitigation policies.
昆虫是统治世界的小东西(E.O.威尔逊)随着人们越来越多地认识到昆虫作为几乎所有生态系统的主要组成部分的重要性,人们越来越担心昆虫生物多样性在全球范围内下降,对我们所有人所依赖的生态系统服务造成严重后果。知识方面的重大差距限制了在理解变化的规模和方向方面取得的进展,并阻碍了解决方案的设计。关于昆虫趋势的信息高度分散,时间序列数据受到限制,没有代表性,无论是在不同的昆虫群体(如鳞翅目、甲虫和苍蝇)之间,还是在不同地区之间。关键的是,我们缺乏来自世界上生物多样性最丰富的地区的原始数据。例如,昆虫有助于维持热带生态系统,这些生态系统在调节全球气候系统和向数百万人提供饮用水的水文循环方面发挥着重要作用。迄今为止,昆虫监测方面的进展受到许多技术挑战的阻碍。据估计,昆虫约占所有描述物种的80%,因此不可能在不同地区和生态系统之间以一致的方式对它们的种群进行采样。自动化传感器、深度学习和计算机视觉为全球更标准化的昆虫监测提供了最实用和最具成本效益的解决方案。应对这一挑战需要跨学科的研究团队。我们的项目适时地帮助英国研究人员发展新的国际合作伙伴关系和网络,以支持这一令人兴奋但新兴的研究领域的长期和可持续合作的发展,该领域横跨工程、计算和生物。迫切需要新的研究网络和伙伴关系,以最大限度地发挥潜力,彻底改变全球昆虫监测的范围和能力。我们将通过四项主要活动开拓这一研究领域:(A)学术界和实践者之间的互动、在线和面对面接触,包括主要政策制定者,通过在线研讨会以及加拿大和欧洲的重点知识交流和赠款编写讲习班;(B)英国和北美之间的知识交流团,以分享建立和部署传感器的实践经验,发展昆虫的深度学习和计算机视觉,并建立数据分析管道,以支持研究应用;(C)在联合王国、丹麦、荷兰、加拿大、美国和巴拿马进行概念验证实地试验。这些活动将对更广泛的长期目标作出重大贡献,即迫切需要一种切实的解决办法来监测世界各地的昆虫,最终支持对昆虫减少的模式和后果以及干预措施的影响进行更全面的评估。通过建立国际伙伴关系和研究网络,我们将开展可持续的合作,以解决如何量化昆虫动态和趋势的复杂性,以应对多种驱动因素,并评估这些变化的生态和人类相关的原因和后果。至关重要的是,该项目是一个重要的垫脚石,有助于确定解决全球生物多样性危机的解决方案,以及研究了解气候变化的生物影响和设计可持续农业的解决方案。有效的昆虫监测是评估未来社会经济、土地利用和气候缓解政策的基础。

项目成果

期刊论文数量(0)
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David Roy其他文献

Tumor Necrosis Factor α Inhibitor-Induced Lupuslike Syndrome in a Patient Prescribed Certolizumab Pegol.
服用 Certolizumab Pegol 的患者因肿瘤坏死因子 α 抑制剂诱发狼疮样综合征。
  • DOI:
    10.12788/8/cutis.0554
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    David Walton Crasto;Loren Touma;David Roy
  • 通讯作者:
    David Roy
Hot-Carrier Degradation modeling of DCR drift in SPADs
SPAD 中 DCR 漂移的热载流子退化建模
Endothelial nitric oxide synthase gene polymorphisms modulate the risk of squamous cell carcinoma of head and neck in north Indian population
内皮一氧化氮合酶基因多态性调节北印度人群头颈部鳞状细胞癌的风险
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0.7
  • 作者:
    S. Yadav;Shalini Gupta;Angad Yadav;M. Bhatt;D. Mishra;David Roy;Somali Sanyal
  • 通讯作者:
    Somali Sanyal
The Value of Lateral Glenohumeral Offset in Predicting Construct Failure in Proximal Humerus Fractures Following Internal Fixation.
盂肱关节外侧偏移在预测肱骨近端骨折内固定术后结构失效中的价值。
Carotid artery stenting: A 12-year single centre experience
  • DOI:
    10.1016/j.hlc.2009.05.504
  • 发表时间:
    2009-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    David Roy;David Muller;David Baron;Paul Roy
  • 通讯作者:
    Paul Roy

David Roy的其他文献

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{{ truncateString('David Roy', 18)}}的其他基金

Instructional Scientific Equipment Program
教学科学设备计划
  • 批准号:
    7511526
  • 财政年份:
    1975
  • 资助金额:
    $ 12.78万
  • 项目类别:
    Standard Grant

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