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Match between soaring modes of black kites and fine-scale distribution on updrafts

机译:黑色风筝的高飞模式与上升气流的精细分布之间的匹配

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摘要

Understanding how soaring birds use updrafts at small spatial scales is important to identify ecologicalconstraints of movement, and may help to prevent conflicts between wind-energy development andthe conservation of wildlife. We combined high-frequency GPS animal tracking and fine-spatial-scaleuplift modelling to establish a link between flight behaviour of soaring birds and the distributionof updrafts. We caught 21 black kites (Milvus migrans) and GPS-tracked them while flying over theTarifa region, on the Spanish side of the Strait of Gibraltar. This region has a diverse topography andland cover, favouring a heterogeneous updraft spatial distribution. Bird tracks were segmented andclassified into flight modes from motion parameters. Thermal and orographic uplift velocities weremodelled from publically available remote-sensing and meteorological data. We found that birdsperform circular soaring in areas of higher predicted thermal uplift and linear soaring in areas of higherpredicted orographic uplift velocity. We show that updraft maps produced from publically available datacan be used to predict where soaring birds will concentrate their flight paths and how they will behavein flight. We recommend the use of this methodological approach to improve environmental impactassessments of new wind-energy installations
机译:了解飞翔的鸟类如何在较小的空间尺度上利用上升气流对于识别运动的生态约束非常重要,并且可能有助于防止风能开发与野生动植物保护之间的冲突。我们结合了高频GPS动物跟踪和精细空间尺度上隆模型,在高飞鸟类的飞行行为与上升气流分布之间建立了联系。我们在直布罗陀海峡西班牙一侧的塔里法地区上空飞过时,捕获了21只黑色风筝(Milvus migrans)并用GPS追踪。该地区具有多样的地形和土地覆盖,有利于异构上升空间分布。鸟的轨迹被分割并根据运动参数分为飞行模式。根据公开获得的遥感和气象数据模拟了热和地形的上升速度。我们发现鸟类在预测的热隆起较高的区域表现出圆形上升,而在地形预测的抬升速度较高的区域表现出线性上升。我们表明,从公开获得的数据生成的上升气流图可用于预测高飞鸟类在哪里集中飞行路线以及它们在飞行中的行为。我们建议使用这种方法来改善新风能装置的环境影响评估

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