Improving detection and estimation of birds collision risk with energy infrastructure

改进鸟类与能源基础设施碰撞风险的检测和评估

• 批准号: 2180545
• 金额: --
• 依托单位: University of East Anglia
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2180545
• 关键词: Improving; detection; estimation; birds; collision

New tracking technologies have enabled researchers to unravel previously unknown animal movement strategies and migratory routes. The use of animal tracking devices that collect high temporal and spatial precision data, including altitude information has been increasing in recent years. Altitude data is necessary to estimate birds' collision risk with offshore wind turbines, electricity cables or other energy infrastructure. This information is key and part of the decision-making process for proposed renewable developments. Areas with high collision risk should be avoided. This project has two components, first it will examine existing animal movement data, from devices that provide accurate elevation information and will examine bird collision risk with the energy infrastructure in Europe. This is important to identify areas with high collision risk that need mitigation actions. The second part of the project will focus on the development of new technology to determine when a bird actually collides. The devices will be tested during the PhD and the results of this project will open new avenues for identification of risk of collision, an issue that is increasing in importance worldwide. We will use data on the movement of migratory birds from a variety of projects freely available on Movebank. Movement characteristics (altitude, speed, direction, flight type and distance moved) will be used to determine locations of high collision risk. This project will also take advantage of existing high temporal and spatial resolution data from ~80 white storks and will use newly developed features to identify collision events. The student will be involved in the development of the new features. The collision risk with energy infrastructure will be determined using GIS approaches. The student will benefit from the expertise in data analyses and field techniques provided by the supervisory team and collaborating partners.The NEXUSS CDT provides state-of-the-art, highly experiential training in the application and development of cutting-edge Smart and Autonomous Observing Systems for the environmental sciences, alongside comprehensive personal and professional development. There will be extensive opportunities for students to expand their multi-disciplinary outlook through interactions with a wide network of academic, research and industrial / government / policy partners. This project will train the PhD student on the interface between ecology and engineering. The student will be involved in assembling and testing tracking devices, and will be able to assess their performance in lab conditions and in the field, by deploying the devices on birds. - Assembling testing tracking devices (HWU and UEA)- Deployment of tracking devices storks (UK/Portugal)- Movement and behavior data analyses and interpretation (UEA)- GIS analyses of the collision risk (UEA).

新的跟踪技术使研究人员能够解开以前未知的动物运动策略和迁徙路线。近年来，越来越多地使用收集高度信息等高时空精度数据的动物跟踪装置。高度数据对于评估鸟类与海上风力涡轮机、电缆或其他能源基础设施的碰撞风险是必要的。这些信息是拟议可再生能源开发决策过程的关键和组成部分。应避开碰撞风险高的区域。该项目有两个组成部分，首先将检查现有的动物运动数据，这些数据来自提供准确海拔信息的设备，并将检查欧洲能源基础设施的鸟类碰撞风险。这对于确定需要采取减缓行动的高碰撞风险区域十分重要。该项目的第二部分将集中在新技术的发展，以确定何时鸟实际上碰撞。这些设备将在博士期间进行测试，该项目的结果将为识别碰撞风险开辟新的途径，这是一个在世界范围内日益重要的问题。我们将使用Movebank上免费提供的各种项目的候鸟迁徙数据。将使用移动特征（高度、速度、方向、飞行类型和移动距离）来确定碰撞风险高的地点。该项目还将利用现有的约80只白色白鹳的高时空分辨率数据，并将使用新开发的特征来识别碰撞事件。学生将参与新功能的开发。将使用地理信息系统方法确定与能源基础设施的碰撞风险。NEXUSS CDT将为学生提供最先进的、高度体验式的培训，帮助他们应用和开发环境科学领域的尖端智能和自主观测系统，同时全面发展个人和专业技能。学生将有广泛的机会，通过与学术，研究和工业/政府/政策合作伙伴的广泛网络的互动，扩大他们的多学科视野。该项目将培养博士生生态学和工程学之间的接口。学生将参与组装和测试跟踪设备，并将能够通过在鸟类身上部署设备来评估它们在实验室条件和现场的性能。- 装配、测试跟踪装置（HWU和UEA）----部署跟踪装置（联合王国/葡萄牙）----移动和行为数据分析和解释（UEA）----碰撞风险地理信息系统分析（UEA）。