4.5 Article

Daily temperature extremes play an important role in predicting thermal effects

Journal

JOURNAL OF EXPERIMENTAL BIOLOGY
Volume 218, Issue 14, Pages 2289-2296

Publisher

COMPANY OF BIOLOGISTS LTD
DOI: 10.1242/jeb.122127

Keywords

Average temperature; Climate change; Life history trait; Mild temperature; Model prediction; Temperature extreme

Categories

Funding

  1. Beijing Natural Science Foundation [6132029]
  2. National Natural Science Foundation of China [31170393, 31272035, 31400350]
  3. Ministry of Agriculture (MOA), China [2011-G9]

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Organisms in natural environments experience diel temperature fluctuations, including sporadic extreme conditions, rather than constant temperatures. Studies based mainly on model organisms have tended to focus on responses to average temperatures or short-term heat stress, which overlooks the potential impact of daily fluctuations, including stressful daytime periods and milder night-time periods. Here, we focus on daily maximum temperatures, while holding night-time temperatures constant, to specifically investigate the effects of high temperature on demographic parameters and fitness in the English grain aphid Sitobion avenae. We then compared the observed effects of different daily maximum temperatures with predictions from constant temperature-performance expectations. Moderate daily maximum temperatures depressed aphid performance while extreme conditions had dramatic effects, even when mean temperatures were below the critical maximum. Predictions based on daily average temperature underestimated negative effects of temperature on performance by ignoring daily maximum temperature, while predictions based on daytime maximum temperatures overestimated detrimental impacts by ignoring recovery under mild night-time temperatures. Our findings suggest that daily maximum temperature will play an important role in regulating natural population dynamics and should be considered in predictions. These findings have implications for natural population dynamics, particularly when considering the expected increase in extreme temperature events under climate change.

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