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Modelling the habitat selection of the bearded vulture to predict areas of potential conflict with wind energy development in the Swiss Alps
Global Ecology and Conservation ( IF 4 ) Pub Date : 2020-12-25 , DOI: 10.1016/j.gecco.2020.e01405
Sergio Vignali , Franziska Lörcher , Daniel Hegglin , Raphaël Arlettaz , Veronika Braunisch

Global warming impels countries to dramatically reduce their release of greenhouse gas emissions and increase their reliance on green energy, notably wind power. Yet, without cautious planning, the sprawl of wind turbines could negatively impact biodiversity, especially flying vertebrates that are otherwise already threatened. Inherent risks for vulnerable and endangered species are usually mitigated by banning constructions within buffer areas around nesting locations. This approach, however, neglects species’ range dynamics and particularly falls short of protecting expanding populations, as in the case of natural returns or reintroduction programmes. We present here an alternative approach to mitigate wildlife-infrastructure conflicts, applying it to the bearded vulture, a species reintroduced in the European Alps. Combining casual observations and GPS locations of tagged individuals, we built several predictive distribution models with respect to bearded vulture age class and season and tested for models’ ability to correctly predict its future expansion in the Alps. Although immature and adult birds showed different habitat selection patterns, both in summer and winter, wide areas of the Swiss Alps (40%) offer suitable habitat. The above combined information enabled correctly predicting today’s use by breeding bearded vultures of previously unused areas. This study not only provides a detailed analysis of the bearded vulture’s ecological requirements in the Alps but also helps delineating areas where conflicts with wind energy production and other aerial infrastructure will likely occur in Switzerland. The resulting maps provide a large-scale planning tool that companies, landscape planners and wildlife managers can use in any environmental risk assessments.



中文翻译:

对胡v的栖息地选择进行建模,以预测与瑞士阿尔卑斯山的风能开发潜在冲突的区域

全球变暖促使各国大幅减少温室气体排放的释放,并增加对绿色能源(尤其是风能)的依赖。但是,如果没有谨慎的计划,风力涡轮机的蔓延可能会对生物多样性产生不利影响,特别是对已经受到威胁的飞行脊椎动物。通常,通过禁止在筑巢地点周围的缓冲区内建造建筑物,可以减轻脆弱和濒危物种的固有风险。但是,这种方法忽略了物种的动态范围,特别是在保护自然种群或自然引进方案的情况下,无法保护不断扩大的种群。我们在这里提出减轻野生生物与基础设施冲突的另一种方法,将其应用于有胡子的秃ul,这是在欧洲阿尔卑斯山重新引入的物种。结合休闲观察和带标签的人的GPS位置,我们针对秃v年龄等级和季节建立了几种预测性分布模型,并测试了模型正确预测其在阿尔卑斯山的未来扩展的能力。尽管未成年和成年鸟类表现出不同的栖息地选择模式,但在夏季和冬季,瑞士阿尔卑斯山的广阔地区(40%)提供了合适的栖息地。上述组合信息可以通过繁殖以前未使用过的区域的胡须秃correctly来正确预测当今的使用情况。这项研究不仅详细分析了大胡子秃鹰对阿尔卑斯山的生态需求,而且还有助于划定瑞士可能发生与风能生产和其他空中基础设施发生冲突的地区。

更新日期:2021-01-02
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