Department of Conservation Biology, Estación Biológica de Doñana (CSIC), C/Américo Vespucio 26, 41092 Sevilla, Spain.
Department of Conservation Biology, Estación Biológica de Doñana (CSIC), C/Américo Vespucio 26, 41092 Sevilla, Spain.
Sci Total Environ. 2021 Nov 1;793:148534. doi: 10.1016/j.scitotenv.2021.148534. Epub 2021 Jun 19.
Accidents on power lines are the leading cause of mortality for many raptor species. In order to prioritise corrective measures, much effort has been focused on identifying the factors associated with collision and electrocution risk. However, most studies lack of precise data about the use of pylons and its underlying driving factors, often relying on biased information based on recorded fatalities. Here, we used multiple years of high-resolution data from 49-GPS tagged Canarian Egyptian Vultures (Neophron percnopterus majorensis) to overcome these typical biases. Birds of our target population use electric pylons extensively for perching (diurnal) and roosting (nocturnal), so accidents with these infrastructures are nowadays the main cause of mortality. Predictive models of pylon intensity of use were fitted for diurnal and nocturnal behaviour, accounting for power line, environmental, and individual vulture's features. Using these measures as a proxy for mortality risk, our model predictions were validated with out-of-sample data of actual mortality recorded during 17 years. Vultures used more pylons during daytime, but those chosen at night were used more intensively. In both time periods, the intensity of use of pylons was determined by similar drivers: vultures avoided pylons close to roads and territories of conspecifics, preferentially used pylons located in areas with higher abundance of food resources, and spread their use during the breeding season. Individuals used pylons unevenly according to their sex, age, and territorial status, indicating that site-specific mitigation measures may affect different fractions of the population. Our modelling procedures predicted actual mortality reasonably well, showing that prioritising mitigation measures on relatively few pylons (6%) could drastically reduce accidents (50%). Our findings demonstrate that combining knowledge on fine-scale individual behaviour and pylon type and distribution is key to target cost-effective conservation actions aimed at effectively reducing avian mortality on power lines.
线路事故是许多猛禽物种死亡的主要原因。为了优先采取纠正措施,人们投入了大量精力来确定与碰撞和触电风险相关的因素。然而,大多数研究缺乏有关使用电塔及其潜在驱动因素的精确数据,通常依赖于基于记录的死亡率的有偏差的信息。在这里,我们使用了来自 49 只佩戴全球定位系统(GPS)的加那利埃及秃鹫(Neophron percnopterus majorensis)的多年高分辨率数据,克服了这些典型的偏差。我们目标种群的鸟类广泛地使用电塔进行栖息(白天)和栖息(夜间),因此与这些基础设施的事故现在是死亡率的主要原因。白天和夜间行为的电塔使用强度预测模型是根据输电线、环境和个体秃鹫的特征来拟合的。使用这些措施作为死亡率风险的代理,我们使用 17 年期间记录的实际死亡率的样本外数据来验证模型预测。秃鹫在白天使用更多的电塔,但夜间选择的电塔使用更频繁。在这两个时间段内,电塔使用强度由类似的驱动因素决定:秃鹫避开靠近道路和同种个体领地的电塔,优先使用位于食物资源丰富度较高地区的电塔,并在繁殖季节分散使用。个体根据其性别、年龄和领地地位不均匀地使用电塔,表明针对特定地点的缓解措施可能会影响到不同的人群。我们的建模程序相当准确地预测了实际死亡率,表明在相对较少的电塔(6%)上优先采取缓解措施可以大大减少事故(50%)。我们的研究结果表明,将关于精细个体行为和电塔类型和分布的知识相结合是关键,旨在针对成本效益高的保护行动,有效地减少线路上的鸟类死亡率。