Shifting environmental predictors of phenotypes under climate change: a case study of growth in high latitude seabirds

IF 1.5 3区 生物学 Q1 ORNITHOLOGY
Drew Sauve, Vicki L. Friesen, Scott A. Hatch, Kyle H. Elliott, Anne Charmantier
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引用次数: 2

Abstract

Climate change is altering species' traits across the globe. To predict future trait changes and understand the consequences of those changes, we need to know the environmental drivers of phenotypic change. In the present study, we use multi-decadal long datasets to determine periods of within-year environmental variation that predict growth of three seabird species. We evaluate whether these periods changed over time and use them to predict future growth under climate change. We find that predictions of trait change could be improved by considering that 1) the timing of environmental factors used to predict traits (predictive-environmental features) can change over time, and 2) the type of predictive-environmental features can change over time. We find evidence of changes in the timing of environmental predictors in all populations studied and evidence for a change in the type of predictor in the studied Arctic murre population. Environmental models of growth predict that warming conditions will decrease growth rates and bird body sizes in two species (black-legged kittiwake Rissa tridactyla and glaucous-winged gull Larus Larus glaucescens), but not the third (thick-billed murre Uria lomvia). Consequently, climate change is likely to decrease fledging rates in the gulls and kittiwakes. Further, we find that sea ice-cover historically predicted murre chick growth well, but no longer does – instead air temperature is now a better predictor of murre growth. Our study highlights a need to investigate whether environmental determinants of trait variation commonly shift in a changing climate and whether such changes have implications for adaptation to novel environments.

Abstract Image

气候变化下表型变化的环境预测因子:高纬度海鸟生长的案例研究
气候变化正在改变全球物种的特征。为了预测未来性状的变化并理解这些变化的后果,我们需要知道表型变化的环境驱动因素。在本研究中,我们使用多年代际长的数据集来确定预测三种海鸟生长的年内环境变化周期。我们评估这些时期是否随时间而变化,并用它们来预测气候变化下的未来增长。我们发现,通过考虑1)用于预测性状(预测环境特征)的环境因素的时间可以随时间变化,2)预测环境特征的类型可以随时间变化,可以改进性状变化的预测。我们发现在所有被研究的种群中环境预测因子的时间发生变化的证据,以及在被研究的北极穆尔种群中预测因子类型发生变化的证据。生长的环境模型预测,变暖的条件会降低两种鸟类的生长速度和体型(黑腿三趾鸥Rissa tridactyla和白羽鸥Larus Larus glaucescens),但不会降低第三种(厚嘴鸥Uria lomvia)。因此,气候变化可能会降低海鸥和三趾鸥的羽化率。此外,我们发现海冰覆盖在历史上很好地预测了海鸠幼雏的生长,但现在不再如此-相反,现在气温是一个更好的预测海鸠生长的指标。我们的研究强调有必要调查性状变异的环境决定因素是否在气候变化中普遍发生变化,以及这种变化是否对适应新环境有影响。
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来源期刊
Journal of Avian Biology
Journal of Avian Biology 生物-鸟类学
CiteScore
3.70
自引率
0.00%
发文量
56
审稿时长
3 months
期刊介绍: Journal of Avian Biology publishes empirical and theoretical research in all areas of ornithology, with an emphasis on behavioural ecology, evolution and conservation.
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