Helmuth Brian, Kingsolver Joel G, Carrington Emily
Department of Biological Sciences, University of South Carolina, Columbia, South Carolina 29208, USA.
Annu Rev Physiol. 2005;67:177-201. doi: 10.1146/annurev.physiol.67.040403.105027.
Recent meta-analyses have shown that the effects of climate change are detectable and significant in their magnitude, but these studies have emphasized the utility of looking for large-scale patterns without necessarily understanding the mechanisms underlying these changes. Using a series of case studies, we explore the potential pitfalls when one fails to incorporate aspects of physiological performance when predicting the consequences of climate change on biotic communities. We argue that by considering the mechanistic details of physiological performance within the context of biophysical ecology (engineering methods of heat, mass and momentum exchange applied to biological systems), such approaches will be better poised to predict where and when the impacts of climate change will most likely occur.
近期的荟萃分析表明,气候变化的影响是可检测到的,而且规模巨大,但这些研究强调了寻找大规模模式的实用性,却不一定理解这些变化背后的机制。通过一系列案例研究,我们探讨了在预测气候变化对生物群落的影响时,如果不考虑生理性能的各个方面可能会出现的潜在陷阱。我们认为,通过在生物物理生态学(应用于生物系统的热量、质量和动量交换的工程方法)的背景下考虑生理性能的机制细节,这样的方法将更有能力预测气候变化的影响最可能在何时何地发生。