Developing regional-scale models of migratory bird movements to improve siting decisions for wind farms and other industrial infrastructure

开发候鸟迁徙的区域规模模型，以改善风电场和其他工业基础设施的选址决策

• 批准号: 543678-2019
• 负责人: Taylor, Philip
• 金额: $ 3.13万
• 依托单位: Acadia University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=688612
• 关键词: Developing; regional; scale; models; migratory

We are using an array of existing and new sensors that is designed to track migratory birds throughout the southern half of the province of New Brunswick. The sensors include small microphones (audiomoths) that can be used to detect the calls of migratory birds as they fly overhead, large weather radars, that provide a very broad-scale overview of where birds stop during migration, and the routes and altitudes at which they fly, small marine radars which can provide a very fine-scale picture of how birds move over smaller (2 x 2 km) areas, and automated telemetry receivers that can track birds with very light weight VHF transmitters. We will examine the patterns of movements of a range of species, from shorebirds, to thrushes, swallows, warblers and seaducks, and relate those patterns of movement to geographical features (coastlines), topographical features (hills and valleys) and weather. The resulting data will be used in statistical models to improve our ability to predict where birds fly under various weather conditions (and times of year) which will be used to help predict good and bad places for large industrial infrastructure such as wind farms. The data will also provide a new, unprecedented picture of how a range of species move through the landscape during migration, which will add to our knowledge and understanding of the process of bird migration.

我们正在使用一系列现有的和新的传感器，旨在追踪整个新不伦瑞克省南部的候鸟。这些传感器包括可用于探测候鸟在头顶飞过时的叫声的小型麦克风(声光仪)、提供鸟类迁徙过程中停留位置以及飞行路线和高度的非常广泛的概述的大型天气雷达、可以提供鸟类在较小(2 x 2公里)区域内移动的非常精细的图像的小型海洋雷达，以及可以用非常轻的甚高频发射器跟踪鸟类的自动遥测接收器。我们将研究一系列物种的活动模式，从滨鸟到画眉鸟、燕子、莺和海鸭，并将这些活动模式与地理特征(海岸线)、地形特征(丘陵和山谷)和天气联系起来。所得数据将被用于统计模型，以提高我们预测鸟类在各种天气条件(和一年中的不同时间)下飞行的能力，这些数据将被用来帮助预测大型工业基础设施(如风力发电场)的好坏。这些数据还将提供一幅前所未有的新图景，展示一系列物种在迁徙过程中如何在景观中移动，这将增加我们对鸟类迁徙过程的了解和理解。