1 School of Biological Sciences, Monash University , Melbourne, Victoria 3800 , Australia.
2 Department of Mathematical Sciences, Centre for Invasion Biology, Stellenbosch University , Stellenbosch 7602 , South Africa.
Proc Biol Sci. 2019 May 15;286(1902):20190174. doi: 10.1098/rspb.2019.0174.
Critical thermal limits (CTLs) show much variation associated with the experimental rate of temperature change used in their estimation. Understanding the full range of variation in rate effects on CTLs and their underlying basis is thus essential if methodological noise is not to overwhelm or bias the ecological signal. We consider the effects of rate variation from multiple intraspecific assessments and provide a comprehensive empirical analysis of the rate effects on both the critical thermal maximum (CT) and critical thermal minimum (CT) for 47 species of ectotherms, exploring which of the available theoretical models best explains this variation. We find substantial interspecific variation in rate effects, which takes four different forms (increase, decline, no change, mixed), with phylogenetic signal in effects on CT, but not CT. Exponential and zero exponential failure rate models best explain the rate effects on CT. The majority of the empirical rate variation in CT could not be explained by the failure rate models. Our work demonstrates that rate effects cannot be ignored in comparative analyses, and suggests that incorporation of the failure rate models into such analyses is a useful further avenue for exploration of the fundamental basis and implications of such variation.
关键温度极限 (CTL) 与估计过程中使用的温度变化实验速率密切相关,表现出很大的变化。如果方法噪声不会淹没或影响生态信号,那么了解速率对 CTLs 的影响及其潜在基础的全部范围是至关重要的。我们考虑了来自多种种内评估的速率变化的影响,并为 47 种变温动物的临界热最大值 (CT) 和临界热最小值 (CT) 提供了对速率影响的全面实证分析,探讨了哪些可用的理论模型可以最好地解释这种变化。我们发现,速率效应存在很大的种间差异,表现为四种不同的形式(增加、下降、不变、混合),对 CT 的影响具有系统发育信号,但对 CT 没有。指数和零指数失效率模型最能解释 CT 上的速率效应。大多数 CT 的经验速率变化不能用失效率模型来解释。我们的工作表明,在比较分析中不能忽视速率效应,并建议将失效率模型纳入此类分析,以进一步探索这种变化的基本基础和意义。