Sensitivity analysis of collision risk at wind turbines based on flight altitude of migratory waterbirds
Sensitivity analysis of collision risk at wind turbines based on flight altitude of migratory waterbirds
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基于候鸟飞行高度的风力发电机碰撞风险敏感性分析
DOI：
10.1002/2688-8319.12222
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发表时间：
2023
影响因子：
2.9
通讯作者：
Sekijima Tsuneo
中科院分区：
文献类型：
--
作者：
Kamata Taito;Sato Hitomi;Mukai Haruka;Sato Takahiro;Yamada Shintaro;Sekijima Tsuneo
风力发电的快速增长导致鸟类碰撞成为世界范围内的一个严重问题。开发有用的敏感性地图以选择鸟类的低风险地点是一个紧迫的问题。对于鹅和天鹅等候鸟而言，它们在整个生命周期中会造访不同的生境，因此必须进行风险评估，其中考虑到它们在每个生境中的行为特征。鹅和天鹅在不同的高度（离地面）飞行和迁徙，高度从10米到几百米不等。准确预测鸟类的飞行高度对于评估与人造建筑物碰撞的风险至关重要。我们首先获得了四种鹅和天鹅的位置数据，以确定它们在日本境内的春季迁徙路线（豆雁和大雁，大白色额雁，苔原天鹅和大天鹅）。由于这四个物种从冬季到春季都使用相同的栖息地和重叠的觅食区域，因此通过整合四个物种的位置数据来定义一条单一的迁徙路线。以飞行高度为响应变量，地形因子和景观因子为解释变量，建立LASSO回归模型。飞行高度与环境差异的趋势是相似的四个物种，表明地形因素强烈影响飞行高度。最后，一个统计模型被用来预测飞行高度沿着迁移路线。我们生成的敏感度地图显示，对于所有四个物种，在春季，大多数飞行高度在风力涡轮机的范围内，这表明它们与风力涡轮机碰撞的风险更大沿着它们的迁移路线。当考虑进一步的风力涡轮机建设的位置时，准确反映鸟类飞行特性的灵敏度图有助于提供有用的信息。
A rapid increase in wind power generation has led to bird collisions becoming a serious problem worldwide. Developing useful sensitivity maps to select low‐risk sites for birds is an urgent issue. For migratory birds, such as geese and swans, that visit different habitats throughout their life cycle, it is important to conduct risk assessments that take into account their behavioural characteristics in each habitat. Geese and swans fly and migrate at varying altitudes (above the ground) ranging from 10 to hundreds of metres. Accurate predictions of avian flight altitudes are essential in assessing the risks of collisions with human‐made structures.We first obtained location data for four species of geese and swans to identify their spring migratory routes within Japan (Bean GooseAnser fabalisandAnser serrirostris, Greater White‐fronted GooseAnser albifrons, Tundra SwanCygnus columbianus bewickiiand Whooper SwanCygnus cygnus). As all four species used the same roosts and overlapping foraging areas from winter to spring, a single migratory route was defined by integrating the location data of the four species.Flight trajectories were tracked using an ornithodolite. The median flight height for these four species in all landscape types was 150 m or less. Then a LASSO regression model was created with flight altitude obtained as the response variable and topographic and landscape factors as explanatory variables. Trends in flight altitude with environmental differences were similar for the four species, indicating that topographical factors strongly influence flight altitude. Finally, a statistical model was used to predict flight altitudes along migration routes.The sensitivity maps we generated showed that for all four species, most flight heights during spring were within the wind turbine range, suggesting that their risk of collision with wind turbines was greater along their migratory route. Sensitivity maps that accurately reflect avian flight characteristics help provide useful information when considering the location of further wind turbine construction.
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DOI：
--
发表时间：
2012
期刊：
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DOI：
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影响因子：
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作者：
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DOI：
10.3838/jjo.61.112
发表时间：
2012
期刊：
影响因子：
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作者：
Katsura Mikami;K. Takagi;Kazuo Koyama;Toshifumi Moriya;M. Ueta
通讯作者：
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