Centre for Applied Ecology "Prof. Baeta Neves" (CEABN-InBIO), School of Agriculture, University of Lisbon, Tapada da Ajuda, Lisbon, 1349-017, Portugal.
CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, Universidade do Porto, Campus Agrário de Vairão, 4485-601, Vairão, Portugal; CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Instituto Superior de Agronomia, Laboratório Associado, Universidade de Lisboa, Tapada da Ajuda, 1349-017, Lisboa, Portugal; REN Biodiversity Chair, CIBIO/InBIO-UP, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, 4485-601, Vairão, Portugal.
J Environ Manage. 2021 Sep 15;294:113149. doi: 10.1016/j.jenvman.2021.113149. Epub 2021 Jul 1.
Anthropogenic structures are increasingly encroaching wildlife habitats, creating conflicts between humans and animals. Scaling up renewable energy requires new infrastructures such as power lines, that cause high mortality among birds since they act as obstacles to flight and are used for perching and nesting, which can result in collisions or electrocutions. These interactions often endanger wildlife populations and may also result in high financial costs for companies. Flight behaviour plays a crucial role in collision risk, and the study of flight altitudes enables us to understand what drives birds to fly at collision risk altitudes. This allows the identification of high-risk areas, conditions and bird behaviours, and the implementation of mitigation measures by power line companies. In this study, we use boosted random tree modelling to identify drivers of white stork (Ciconia ciconia) flight altitudes and to investigate the factors that lead them to fly at collision risk altitudes. We found that the main drivers of flight altitude for this soaring bird species were time of day, distance to the nearest landfill site and cloud cover density. Bird age, habitat type and season were comparatively less important. Collision risk increases during crepuscular hours near landfill sites, also in days with high cloud cover density and during the breeding season. In recent years, hundreds to thousands of storks congregate daily at landfill sites to take advantage of the predictability and superabundance of anthropogenic food waste. Some of these sites have high density of power lines, becoming collision risk hotspots for storks and other landfill users. Despite being susceptible to collision, our results suggest that white storks can avoid power lines to a certain extent, by changing their flight altitude at ca. 80 m from these structures. This study shows that the implementation of mitigation measures for existing power lines should be prioritized in areas in the vicinity of landfill sites within white stork distribution ranges, and the projection of new lines should avoid those areas. These measures would benefit species vulnerable to mortality due to power line collision, and it would also reduce associated power outages and economic costs.
人为结构正日益侵占野生动物栖息地,导致人类与动物之间产生冲突。扩大可再生能源规模需要新的基础设施,例如输电线,这会导致鸟类死亡率上升,因为它们成为飞行障碍物,并被用于栖息和筑巢,这可能导致碰撞或触电。这些相互作用经常危及野生动物种群,也可能导致公司承担高昂的财务成本。飞行行为在碰撞风险中起着至关重要的作用,而飞行高度的研究使我们能够了解是什么促使鸟类在碰撞风险高度飞行。这可以识别高风险区域、条件和鸟类行为,并由输电线公司采取缓解措施。在这项研究中,我们使用增强随机树模型来确定白鹳(Ciconia ciconia)飞行高度的驱动因素,并调查导致它们在碰撞风险高度飞行的因素。我们发现,对于这种翱翔鸟类来说,飞行高度的主要驱动因素是一天中的时间、到最近的垃圾填埋场的距离和云覆盖密度。鸟类年龄、栖息地类型和季节相对不太重要。在靠近垃圾填埋场的黄昏时分,以及在云覆盖密度高和繁殖季节,碰撞风险会增加。近年来,数以百计到数千只鹳每天都会聚集在垃圾填埋场,以利用人为食物垃圾的可预测性和丰富性。其中一些地点的输电线密度很高,成为鹳和其他垃圾填埋场使用者的碰撞风险热点。尽管容易发生碰撞,但我们的研究结果表明,白鹳可以在一定程度上避开输电线,方法是在距离这些结构约 80 米的高度改变飞行高度。这项研究表明,应优先在白鹳分布范围内靠近垃圾填埋场的区域实施现有输电线的缓解措施,并避免在这些区域规划新的输电线。这些措施将使易受因与输电线碰撞而死亡的物种受益,并减少相关的停电和经济成本。