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Match between soaring modes of black kites and the fine-scale distribution of 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 ecological constraints of movement, and may help to prevent conflicts between wind-energy development and the conservation of wildlife. We combined high-frequency GPS animal tracking and fine-spatial-scale uplift modelling to establish a link between flight behaviour of soaring birds and the distribution of updrafts. We caught 21 black kites (Milvus migrans) and GPS-tracked them while flying over the Tarifa region, on the Spanish side of the Strait of Gibraltar. This region has a diverse topography and land cover, favouring a heterogeneous updraft spatial distribution. Bird tracks were segmented and classified into flight modes from motion parameters. Thermal and orographic uplift velocities were modelled from publically available remote-sensing and meteorological data. We found that birds perform circular soaring in areas of higher predicted thermal uplift and linear soaring in areas of higher predicted orographic uplift velocity. We show that updraft maps produced from publically available data can be used to predict where soaring birds will concentrate their flight paths and how they will behave in flight. We recommend the use of this methodological approach to improve environmental impact assessments 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动物跟踪和精细的空间隆升模型,以建立飞禽的飞行行为与上升气流的分布之间的联系。我们在直布罗陀海峡的西班牙一侧越过塔里法地区时,捕获了21只黑色风筝(Milvus migrans)并用GPS追踪。该地区的地形和土地覆盖多样,有利于异样的上升空间分布。鸟的轨迹被分割,并根据运动参数分为飞行模式。根据公众可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为圆形飞跃,而在预期的地形抬升速度较高的区域表现为线性飞跃。我们表明,根据公开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对新风能装置的环境影响评估。

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