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Avian responses to extreme weather across functional traits and temporal scales

机译:禽的反应跨功能性状和颞尺度的极端天气

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Extreme weather, including heat waves, droughts, and high rainfall, is becoming more common and affecting a diversity of species and taxa. However, researchers lack a framework that can anticipate how diverse species will respond to weather extremes spanning weeks to months. Here we used high-resolution occurrence data from eBird, a global citizen science initiative, and dynamic species distribution models to examine how 109 North American bird species ranging in migration distance, diet, body size, habitat preference, and prevalence (commonness) respond to extreme heat, drought, and rainfall across a wide range of temporal scales. Across species, temperature influenced species' distributions more than precipitation at weekly and monthly scales, while precipitation was more important at seasonal scales. Phylogenetically controlled multivariate models revealed that migration distance was the most important factor mediating responses to extremely hot or dry weeks; residents and short-distance migrants occurred less often following extreme heat. At monthly or seasonal scales, less common birds experienced decreases in occurrence following drought-like conditions, while widespread species were unaffected. Spatial predictions demonstrated variation in responses to extreme weather across species' ranges, with predicted decreases in occurrence up to 40% in parts of ranges. Our results highlight that extreme weather has variable and potentially strong implications for birds at different time scales, but these responses are mediated by life-history characteristics. As weather once considered extreme occurs more frequently, researchers and managers require a better understanding of how diverse species respond to extreme conditions.
机译:极端天气,包括热浪,干旱和降雨量,变得越来越普遍,影响物种和分类群的多样性。然而,研究人员缺乏一个框架,可以预测多样化的物种如何应对周末周末到几个月的天气。在这里,我们使用了来自欧洲全球公民科学倡议的高分辨率发生数据,以及动态物种分销模型,以检查109北美鸟类如何在迁移距离,饮食,体型,栖息地偏好和患病率(普通)回应中极端的热量,干旱和降雨,横跨各种时间秤。跨物种,温度影响物种的分布在每周和每月鳞片上的降水量超过降水,而降水在季节性尺度上更为重要。系统发生控制的多变量模型显示迁移距离是介导对极热或干燥周的反应的最重要因素;在极热之后,居民和短距离移民较少发生。按月或季节性鳞片,较少的常见鸟类在干旱状况发生后发生的常见速度减少,而广泛的物种不受影响。空间预测表明对物种范围的极端天气的反应变化,预测在范围内的发生达40%。我们的结果强调,极端天气在不同的时间尺度对鸟类具有变量和潜在的强烈影响,但这些反应是由寿命历史特征的介导的。由于曾经考虑过极端的天气,研究人员和管理人员需要更好地了解各种物种如何应对极端条件。

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