Collision sensitive niche profile of the worst affected bird-groups at wind turbine structures in the federal state of Brandenburg, Germany

Biodiversity-related impacts at wind energy facilities have increasingly become a cause of conservation concern, central issue being the collision of birds. Utilizing spatial information of their carcass detections at wind turbines (WTs), we quantified the detections in relation to the metric distances of the respective turbines to different land-use types. We used ecological niche factor analysis (ENFA) to identify combinations of land-use distances with respect to the spatial allocation of WTs that led to higher proportions of collisions among the worst affected bird-groups: Buntings, Crows, Larks, Pigeons and Raptors. We also assessed their respective similarities to the collision phenomenon by checking for overlaps amongst their distance combinations. Crows and Larks showed the narrowest “collision sensitive niche”; a part of ecological niche under higher risk of collisions with turbines, followed by that of Buntings and Pigeons. Raptors had the broadest niche showing significant ov...

风能设施对生物多样性造成的影响日益引发保护学界的关注，其中核心问题为鸟类与风力涡轮机（WTs）的碰撞事故。本研究依托风力涡轮机处发现的鸟类尸体检出记录的空间位置信息，量化分析了各涡轮机与不同土地利用类型间的距离与尸体检出量之间的关联。我们采用生态位因子分析（ENFA），针对受碰撞影响最严重的鸟类类群——鹀类、鸦类、百灵类、鸠鸽类与猛禽类，识别出与风力涡轮机空间布局相关的土地利用距离组合，该类组合可推高鸟类碰撞发生比例。此外，我们通过检查各类群碰撞相关距离组合的重叠情况，评估了它们在碰撞风险上的相似性。结果显示，鸦类与百灵类的"碰撞敏感生态位"（即生态位中与涡轮机碰撞风险较高的区域）最为狭窄，其次为鹀类与鸠鸽类；猛禽类的生态位最宽，且展现出显著的[原文内容截断]