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鸟类对功能特征和时间尺度上极端天气的反应。

Avian responses to extreme weather across functional traits and temporal scales.

机构信息

Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, USA.

Cornell Lab of Ornithology, Ithaca, NY, USA.

出版信息

Glob Chang Biol. 2020 Aug;26(8):4240-4250. doi: 10.1111/gcb.15133. Epub 2020 May 26.

Abstract

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.

摘要

极端天气,包括热浪、干旱和强降雨,变得越来越常见,影响着多种物种和分类群。然而,研究人员缺乏一种能够预测不同物种将如何应对数周至数月的极端天气的框架。在这里,我们使用了来自 eBird 的高分辨率出现数据,eBird 是一个全球性的公民科学倡议,以及动态物种分布模型,来研究 109 种北美的鸟类物种如何应对极端高温、干旱和降雨,这些物种的迁徙距离、饮食、体型、栖息地偏好和出现频率(常见程度)各不相同,时间尺度范围很广。在物种层面上,温度在周和月尺度上对物种分布的影响大于降水,而降水在季节尺度上更为重要。基于系统发育的多元模型表明,迁徙距离是调节对极端炎热或干燥周反应的最重要因素;居民和短距离迁徙者在极端高温后出现的频率较低。在月或季节尺度上,干旱条件下不常见的鸟类出现频率下降,而广泛分布的物种则不受影响。空间预测表明,极端天气在物种分布范围内的反应存在差异,预测在某些地区的出现频率下降了高达 40%。我们的研究结果表明,极端天气在不同的时间尺度上对鸟类有不同的、潜在的强烈影响,但这些反应受到生活史特征的调节。由于曾经被认为是极端的天气现在更频繁地发生,研究人员和管理者需要更好地了解不同物种对极端条件的反应。

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