Data for: Cold adaptation does not handicap warm tolerance in the most abundant Arctic seabird

Arctic birds and mammals are physiologically adapted to survive in cold environments but live in the fastest-warming region on the planet. They should therefore be most threatened by climate change. Combining modelling and physiological measurements in dovekies (Alle alle) from East Greenland, we demonstrate that cold adaptation in this small Arctic seabird does not handicap acute tolerance to air temperatures more than 10 °C above their current maximum. We predict that climate warming will reduce the energetic costs of thermoregulation for dovekies, but their capacity to cope with rising temperatures will be constrained by water intake and salt balance. Dovekies evolved 15 million years ago, and their thermoregulatory physiology might reflect adaptation to paleoclimates that were substantially warmer than the present-day., Phylogenetic modelling  We fitted phylogenetic mixed models to existing data (Khaliq et al. 2017 Proc B 281: 20141097) for upper critical temperature (TUC) in 255 bird species. We also included information on potential sources of variation in TUC estimates due to differences in methodology among studies (McKechnie et al. 2017 J Biogeogr 44:10). Specifically, different studies estimated TUC from respirometric data obtained across different temperature ranges, which potentially influences the precision of estimates of TUC. To account for this potential source of error in TUC, we used the ‘data quality’ categories proposed by McKechnie et al. (2017) in their examination of the primary data from the Khaliq et al. (2014) dataset. Their categories were ‘Good’ (i.e., an increase in metabolic rate above thermoneutrality with a clear inflection point defining TUC), ‘Insufficient data’ (i.e., some evidence of an increase in metabolic rate above thermoneutrality, but based on measurements at too ..., , # Data for: Cold adaptation does not handicap warm tolerance in the most abundant Arctic seabird ## **Overview** The data provided are described in three sections. We provide a brief overview of the type of data described in each section, followed by a more detailed description of the data below. 1. Field-based physiological measurements: respirometry data and associated metadata. 2. Comparative species data set: previously published data for upper critical temperature (*TUC*) measured in 255 bird species (Khaliq et al. 2014 *Proc. B* 281: 20141097) combined with published data quality categories pertaining to that data set (McKechnie et al. (2017). *J. Biogeogr.* **44**, 2424-2426). 3. Future climate scenarios: predicted land surface air temperatures under historical and future climate scenarios at the East Greenland study site, extracted from the HadGEM2-ES climate model. ## Field-based physiological measurements #### Column headings in .csv file *date*: date of measurement *ch...北极鸟类与哺乳动物在生理上适应寒冷环境，却栖息于全球变暖速率最快的区域，因此它们理应成为受气候变化威胁最严重的类群。本研究结合东格陵兰地区小海雀（*Alle alle*）的建模与生理测量数据，证实这种小型北极海鸟的冷适应特性，并不会削弱其对超出当前最高温10℃以上的空气温度的急性耐受能力。研究预测，气候变暖将降低小海雀的体温调节能量成本，但其应对气温上升的能力会受到水分摄入与盐平衡的限制。小海雀起源于1500万年前，其体温调节生理机能或许反映了对远高于现今的古气候的适应。 ——系统发育建模 我们针对255种鸟类的上临界温度（upper critical temperature, TUC）的现有数据（Khaliq等，2017，*Proc B* 281: 20141097）构建了系统发育混合模型。此外，我们还纳入了因不同研究方法差异导致的TUC估计值变异的相关信息（McKechnie等，2017，*Journal of Biogeography* 44:10）。具体而言，不同研究基于不同温度范围内的呼吸测热数据估算TUC，这可能会影响TUC估计的精度。为校正TUC估计中的这一潜在误差来源，我们采用了McKechnie等（2017）在重新分析Khaliq等（2014）数据集的原始数据时提出的"数据质量"分类标准。该分类标准分为："优质"（即热中性区以上代谢率升高，且存在明确拐点以定义TUC）、"数据不足"（即存在热中性区以上代谢率升高的部分证据，但基于的测量温度范围过窄……） # 对应研究：《冷适应不会削弱最丰富的北极海鸟的热耐受能力》 ## 概述 本次提供的数据分为三个章节。我们将先简要介绍各章节的数据类型，随后对数据展开更详细的描述。 1. 野外生理测量数据：呼吸测热数据及相关元数据。 2. 比较物种数据集：255种鸟类上临界温度（TUC）的已发表数据（Khaliq等，2014，*Proc. B* 281: 20141097），结合针对该数据集的已发表数据质量分类标准（McKechnie等，2017，*Journal of Biogeography* **44**, 2424-2426）。 3. 未来气候情景数据：从HadGEM2-ES气候模型中提取的东格陵兰研究区域历史与未来气候情景下的地表气温预测值。 ## 野外生理测量数据 #### .csv文件的列标题 *date*：测量日期 *ch...*：（原文未完整给出，保留原标识）