Flouris Andreas D, Kenny Glen P
FAME Laboratory, Department of Exercise Science, University of Thessaly, Trikala, Greece; Human and Environmental Physiology Research Unit, School of Human Kinetics, University of Ottawa, Ottawa, ON, Canada.
Human and Environmental Physiology Research Unit, School of Human Kinetics, University of Ottawa, Ottawa, ON, Canada.
F1000Res. 2017 Mar 6;6:221. doi: 10.12688/f1000research.10554.2. eCollection 2017.
In the aftermath of the Paris Agreement, there is a crucial need for scientists in both thermal physiology and climate change research to develop the integrated approaches necessary to evaluate the health, economic, technological, social, and cultural impacts of 1.5°C warming. Our aim was to explore the fidelity of remote temperature measurements for quantitatively identifying the continuous redistribution of heat within both the Earth and the human body. Not accounting for the regional distribution of warming and heat storage patterns can undermine the results of thermal physiology and climate change research. These concepts are discussed herein using two parallel examples: the so-called slowdown of the Earth's surface temperature warming in the period 1998-2013; and the controversial results in thermal physiology, arising from relying heavily on core temperature measurements. In total, the concept of heat is of major importance for the integrity of systems, such as the Earth and human body. At present, our understanding about the interplay of key factors modulating the heat distribution on the surface of the Earth and in the human body remains incomplete. Identifying and accounting for the interconnections among these factors will be instrumental in improving the accuracy of both climate models and health guidelines.
《巴黎协定》签署之后,热生理学和气候变化研究领域的科学家迫切需要开发综合方法,以评估升温1.5°C对健康、经济、技术、社会和文化的影响。我们的目标是探究远程温度测量在定量识别地球和人体内部热量持续重新分布方面的准确性。不考虑变暖的区域分布和热量储存模式可能会破坏热生理学和气候变化研究的结果。本文使用两个平行的例子来讨论这些概念:1998年至2013年期间地球表面温度变暖的所谓放缓;以及热生理学中因严重依赖核心温度测量而产生的有争议的结果。总的来说,热的概念对于地球和人体等系统的完整性至关重要。目前,我们对调节地球表面和人体热量分布的关键因素之间相互作用的理解仍然不完整。识别并考虑这些因素之间的相互联系将有助于提高气候模型和健康指南的准确性。