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Modeling the Distribution of Migratory Bird Stopovers to Inform Landscape-Scale Siting of Wind Development

机译:模拟候鸟停留的分布以告知风能发展的景观规模选址

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摘要

Conservation of migratory birds requires understanding the distribution of and potential threats to their migratory habitats. However, although migratory birds are protected under international treaties, few maps have been available to represent migration at a landscape scale useful to target conservation efforts or inform the siting of wind energy developments that may affect migratory birds. To fill this gap, we developed models that predict where four groups of birds concentrate or stopover during their migration through the state of Wyoming, USA: raptors, wetland, riparian and sparse grassland birds. The models were based on existing literature and expert knowledge concerning bird migration behavior and ecology and validated using expert ratings and known occurrences. There was significant agreement between migratory occurrence data and migration models for all groups except raptors, and all models ranked well with experts. We measured the overlap between the migration concentration models and a predictive model of wind energy development to assess the potential exposure of migratory birds to wind development and illustrate the utility of migratory concentration models for landscape-scale planning. Wind development potential is high across 15% of Wyoming, and 73% of this high potential area intersects important migration concentration areas. From 5.2% to 18.8% of each group’s important migration areas was represented within this high wind potential area, with the highest exposures for sparse grassland birds and the lowest for riparian birds. Our approach could be replicated elsewhere to fill critical data gaps and better inform conservation priorities and landscape-scale planning for migratory birds.
机译:保护候鸟需要了解候鸟栖息地的分布及其潜在威胁。但是,尽管候鸟受到国际条约的保护,但几乎没有可用的地图以景观尺度来表示迁徙,这些标靶可用于保护工作或告知可能影响候鸟风能发展的地点。为了填补这一空白,我们开发了模型来预测四组鸟类在美国怀俄明州迁徙期间的聚集或停留地点:猛禽,湿地,河岸和稀疏草地鸟类。该模型基于有关鸟类迁徙行为和生态学的现有文献和专家知识,并使用专家评级和已知事件进行了验证。除猛禽外,所有群体的迁徙发生数据与迁徙模型之间都存在着显着的一致性,并且所有模型在专家中的排名都很高。我们测量了迁移集中度模型与风能发展预测模型之间的重叠,以评估候鸟对风力发展的潜在暴露,并说明了迁徙浓度模型在景观规模规划中的实用性。在怀俄明州15%的地区,风力发展潜力很高,而这一高潜力地区的73%与重要的移民集中地区相交。在这一高风能区中,每个组的重要迁移区域的比例从5.2%到18.8%,稀疏草地鸟类的暴露量最高,河岸鸟类的暴露量最低。我们的方法可以复制到其他地方,以填补关键数据的空白,并更好地为候鸟提供保护重点和景观规模规划。

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