2020
DOI: 10.1088/1748-9326/ab763e
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On the use of averaged indicators to assess lakes’ thermal response to changes in climatic conditions

Abstract: Studies on the impact of climate change in lakes have mainly focused on the average response of lake surface temperature during three summer months (July, August, September, usually termed JAS). Focusing on the Laurentian Great Lakes, we challenge this common assumption by showing that the thermal behaviour is diversified in time both among different lakes and within a single one. Deep regions experience a stronger warming concentrated in early summer, mainly due to anticipated stratification, while shallow pa… Show more

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Cited by 31 publications
(48 citation statements)
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“…The present analysis focused on annually-averaged temperatures, offering a change of paradigm compared to the recent tendency towards focusing on long-term changes in summer LSWT (Schneider and Hook 2010;O'Reilly et al 2015;Sharma et al 2015). Although summer-averaged LSWT have undoubtedly been pivotal in our understanding and for evaluating the direction of warming globally, they cannot be assumed as representative of the overall thermal response of lakes, due to the existence of substantial seasonal variations in LSWT warming rates (Winslow et al 2017b;Woolway et al 2017a;Toffolon et al, 2020) primarily modulated by stratification dynamics (Piccolroaz et al 2015;Zhong et al 2016). Specifically, lakes thermal reactivity to changes in air temperature is much higher in summer due to strong thermal stratification, thus lower thermal inertia (Piccolroaz et al 2015).…”
Section: Discussionmentioning
confidence: 99%
“…The present analysis focused on annually-averaged temperatures, offering a change of paradigm compared to the recent tendency towards focusing on long-term changes in summer LSWT (Schneider and Hook 2010;O'Reilly et al 2015;Sharma et al 2015). Although summer-averaged LSWT have undoubtedly been pivotal in our understanding and for evaluating the direction of warming globally, they cannot be assumed as representative of the overall thermal response of lakes, due to the existence of substantial seasonal variations in LSWT warming rates (Winslow et al 2017b;Woolway et al 2017a;Toffolon et al, 2020) primarily modulated by stratification dynamics (Piccolroaz et al 2015;Zhong et al 2016). Specifically, lakes thermal reactivity to changes in air temperature is much higher in summer due to strong thermal stratification, thus lower thermal inertia (Piccolroaz et al 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Warming alterations of such lakes in time and space have been characterized by Toffolon et al (2020) using the difference of maximum LSWT between the five warmest and coldest years as a proxy. Critical water temperatures over extended periods will influence almost all aspects of aquatic ecosystems, particularly the metabolism of the organisms at all levels of the food web (Winder and Schindler 2004b;Kraemer et al 2017).…”
Section: Potential Biological Impactsmentioning
confidence: 99%
“…Moreover, warming efficiency is prominent in the Qinghai-Tibet Plateau. This suggests that besides the warming effect caused by concurrent higher air and land surface temperatures through conduction [51], previous meteorological conditions [44], the long ice-cover season lasting until April-May [52], and other physical processes such as albedo changes associated with snow/ice melting [53] or strong radiative warming penetrating the transparent ice cover [54] may contribute to higher warming efficiency, which deserves further investigation. Overall, the difference in the LSWT warming trend is combinedly caused by higher air temperature trends and warming efficiency in dryland lakes compared to lakes located in humid regions.…”
Section: Discussionmentioning
confidence: 99%
“…Warming efficiency η is a simple lake-averaged indicator introduced by Toffolon et al (2020) [44], which quantifies to what extent LSWT changes relative to a change in air temperature. In order to compute this indicator, first, the five coldest and five warmest years in the period 1995-2016 were identified (in terms of mean summer LSWT) for each lake.…”
Section: Warming Efficiencymentioning
confidence: 99%