2021
DOI: 10.1111/gcb.15616
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Foul‐weather friends: Modelling thermal stress mitigation by symbiotic endolithic microbes in a changing environment

Abstract: Temperature extremes are predicted to intensify with climate change. These extremes are rapidly emerging as a powerful driver of species distributional changes with the capacity to disrupt the functioning and provision of services of entire ecosystems, particularly when they challenge ecosystem engineers. The subsequent search for a robust framework to forecast the consequences of these changes mostly ignores within‐species variation in thermal sensitivity. Such variation can be intrinsic, but can also reflect… Show more

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Cited by 11 publications
(22 citation statements)
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“…Thermal buffering is, however, advantageous when heat stress is greatest, that is, on sun‐exposed surfaces, between midday and late afternoon, during hot weather, with clear skies and light winds. The context‐dependent protection against harmful temperatures can make a difference during heat waves by giving infested mussels a higher chance of survival (Gehman & Harley, 2019; Zardi et al., 2021). This result is particularly relevant for populations of intertidal mussels, which, like most intertidal ectotherms, live at or near the upper limits of their thermal tolerances (Somero, 2010).…”
Section: Discussionmentioning
confidence: 99%
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“…Thermal buffering is, however, advantageous when heat stress is greatest, that is, on sun‐exposed surfaces, between midday and late afternoon, during hot weather, with clear skies and light winds. The context‐dependent protection against harmful temperatures can make a difference during heat waves by giving infested mussels a higher chance of survival (Gehman & Harley, 2019; Zardi et al., 2021). This result is particularly relevant for populations of intertidal mussels, which, like most intertidal ectotherms, live at or near the upper limits of their thermal tolerances (Somero, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…The method uses sudden drops in logger temperatures and the corresponding tidal height at this time to estimate when robomussels are first immersed by the returning tide. We obtained hourly tidal predictions (using the XTide software; https://flaterco.com/xtide/) for nearby maritime ports (Table S2) and interpolated tidal levels at 30‐min intervals (using na.approx function from the r package zoo ; Zeileis & Grothendieck, 2005) to match the time at which robomussels were set to record temperature (see Zardi et al., 2021). We retrieved all tidal levels that were associated with a temperature drop of >8°C in 30 min during incoming tides.…”
Section: Methodsmentioning
confidence: 99%
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