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本文引用的文献

1
Intraspecific variation in lizard heat tolerance alters estimates of climate impact.蜥蜴耐热性的种内变异改变了对气候影响的估计。
J Anim Ecol. 2019 Feb;88(2):247-257. doi: 10.1111/1365-2656.12914. Epub 2018 Nov 2.
2
The complex drivers of thermal acclimation and breadth in ectotherms.变温动物热适应和宽温性的复杂驱动因素。
Ecol Lett. 2018 Sep;21(9):1425-1439. doi: 10.1111/ele.13107. Epub 2018 Jul 16.
3
The analysis and interpretation of critical temperatures.临界温度的分析与解读。
J Exp Biol. 2018 Jun 27;221(Pt 12):jeb167858. doi: 10.1242/jeb.167858.
4
GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms.全球热耐受性数据库(GlobTherm),一个关于水生和陆生生物热耐受性的全球数据库。
Sci Data. 2018 Mar 13;5:180022. doi: 10.1038/sdata.2018.22.
5
Critical thermal limits of bumblebees () are marked by stereotypical behaviors and are unchanged by acclimation, age or feeding status.熊蜂(Bumblebees)的临界热极限由典型行为标记,不因驯化、年龄或摄食状态而改变。
J Exp Biol. 2018 Apr 19;221(Pt 8):jeb165589. doi: 10.1242/jeb.165589.
6
Physiological thermal limits predict differential responses of bees to urban heat-island effects.生理热极限预测蜜蜂对城市热岛效应的不同反应。
Biol Lett. 2017 Jun;13(6). doi: 10.1098/rsbl.2017.0125.
7
Interactions between rates of temperature change and acclimation affect latitudinal patterns of warming tolerance.温度变化速率与驯化之间的相互作用影响了变暖耐受性的纬度模式。
Conserv Physiol. 2016 Nov 9;4(1):cow053. doi: 10.1093/conphys/cow053. eCollection 2016.
8
Can we predict ectotherm responses to climate change using thermal performance curves and body temperatures?我们能否利用热性能曲线和体温来预测变温动物对气候变化的反应?
Ecol Lett. 2016 Nov;19(11):1372-1385. doi: 10.1111/ele.12686. Epub 2016 Sep 25.
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Heat resistance throughout ontogeny: body size constrains thermal tolerance.整个个体发育过程中的耐热性:体型大小限制了热耐受能力。
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10
Limited tolerance by insects to high temperatures across tropical elevational gradients and the implications of global warming for extinction.昆虫对热带海拔梯度上高温的耐受性有限以及全球变暖对灭绝的影响。
Proc Natl Acad Sci U S A. 2016 Jan 19;113(3):680-5. doi: 10.1073/pnas.1507681113. Epub 2016 Jan 4.

变温动物对热应激的反应速度。

Rate dynamics of ectotherm responses to thermal stress.

机构信息

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.

出版信息

Proc Biol Sci. 2019 May 15;286(1902):20190174. doi: 10.1098/rspb.2019.0174.

DOI:10.1098/rspb.2019.0174
PMID:31039720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6532505/
Abstract

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.

摘要

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。