Sinclair Brent J, Marshall Katie E, Sewell Mary A, Levesque Danielle L, Willett Christopher S, Slotsbo Stine, Dong Yunwei, Harley Christopher D G, Marshall David J, Helmuth Brian S, Huey Raymond B
Department of Biology, University of Western Ontario, London, ON, Canada.
Department of Zoology, University of British Columbia, Vancouver, BC, Canada.
Ecol Lett. 2016 Nov;19(11):1372-1385. doi: 10.1111/ele.12686. Epub 2016 Sep 25.
Thermal performance curves (TPCs), which quantify how an ectotherm's body temperature (T ) affects its performance or fitness, are often used in an attempt to predict organismal responses to climate change. Here, we examine the key - but often biologically unreasonable - assumptions underlying this approach; for example, that physiology and thermal regimes are invariant over ontogeny, space and time, and also that TPCs are independent of previously experienced T We show how a critical consideration of these assumptions can lead to biologically useful hypotheses and experimental designs. For example, rather than assuming that TPCs are fixed during ontogeny, one can measure TPCs for each major life stage and incorporate these into stage-specific ecological models to reveal the life stage most likely to be vulnerable to climate change. Our overall goal is to explicitly examine the assumptions underlying the integration of TPCs with T , to develop a framework within which empiricists can place their work within these limitations, and to facilitate the application of thermal physiology to understanding the biological implications of climate change.
热性能曲线(TPCs)量化了变温动物的体温(T)如何影响其性能或适应性,常被用于预测生物体对气候变化的反应。在此,我们审视这种方法背后的关键但通常在生物学上不合理的假设;例如,生理机能和热状况在个体发育、空间和时间上是不变的,并且热性能曲线独立于先前经历的体温。我们展示了对这些假设进行批判性思考如何能得出具有生物学意义的假设和实验设计。例如,与其假设热性能曲线在个体发育过程中是固定的,不如针对每个主要生命阶段测量热性能曲线,并将其纳入特定阶段的生态模型,以揭示最可能易受气候变化影响的生命阶段。我们的总体目标是明确审视将热性能曲线与体温整合背后的假设,建立一个框架,让实证研究人员能够在这些限制条件下开展工作,并促进热生理学在理解气候变化生物学影响方面的应用。