Identifying multi-scale exposure of anthropogenic threats to migratory birds

识别对候鸟的人为威胁的多尺度暴露

• 批准号: 2881805
• 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: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2881805
• 关键词: Identifying; multi; scale; exposure; anthropogenic

Scientific background: Biodiversity is rapidly declining in response to human induced global environmental change. Migratory birds are particularly at risk having experienced large population declines in recent decades. The identification of areas where migratory birds have increased mortality risks is key to inform conservation strategies and to develop appropriate mitigation measures. This project will collect new data for Greater Spotted Eagle (Aquila clanga) and will combine new and existing GPS tracking data, for a wide range of taxa, with environmental change threat layers, obtained from remote sensing datasets, to identify threat hotspots across migratory pathways. The results will be used to identify priority areas for conservation and to recommend mitigation measures that will reduce migratory birds' exposure to anthropogenic threats.Research Methodology: The project will use existing GPS tracking datasets for 28 migratory species (from Movebank.org) and gather new data for a focal model species (Greater Spotted Eagle), to examine exposure to anthropogenic threats across breeding, non-breeding areas and migratory routes in the Afro-Palearctic region. This project will quantify the time birds, with different levels of vulnerability, are exposed to a variety of threats and will examine links to population trends from European wide count data (EBBA2). For select species, it will be possible to examine if breeding success metrics, overall body acceleration information and other migration energy expenditure metrics are influenced by exposure to threats.

科学背景：由于人类活动引起的全球环境变化，生物多样性正在迅速下降。候鸟在最近几十年经历了大量的数量下降，尤其处于危险之中。确定候鸟死亡风险增加的地区是为保护战略提供信息和制定适当缓解措施的关键。该项目将为大斑鹰（Aquila clanga）收集新的数据，并将新的和现有的GPS跟踪数据结合起来，用于广泛的分类群，以及从遥感数据集中获得的环境变化威胁层，以确定迁徙路径上的威胁热点。研究结果将用于确定优先保护区域，并建议缓解措施，以减少候鸟受到人为威胁的风险。研究方法：该项目将使用现有的28个迁徙物种的GPS跟踪数据集（来自Movebank.org），并收集焦点模型物种（大斑鹰）的新数据，以检查非洲-古北地区繁殖区、非繁殖区和迁徙路线上的人为威胁。该项目将量化具有不同脆弱程度的鸟类暴露于各种威胁的时间，并将从欧洲广泛计数数据（EBBA2）中检查与人口趋势的联系。对于选定的物种，将有可能检查繁殖成功指标，整体身体加速度信息和其他迁移能量消耗指标是否受到威胁的影响。