4.6 Article

The energetic and carbon economic origins of leaf thermoregulation

Journal

NATURE PLANTS
Volume 2, Issue 9, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/NPLANTS.2016.129

Keywords

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Funding

  1. Los Alamos National Laboratory
  2. NSF MacroSystems award [1065861, 1241873]
  3. NSF award [IOS-0950998]
  4. SUMO
  5. NGEE-Tropics support from Department of Energy, Office of Science
  6. Aspen Center for Environmental Studies
  7. Direct For Biological Sciences
  8. Div Of Biological Infrastructure [1315705] Funding Source: National Science Foundation
  9. Direct For Biological Sciences
  10. Emerging Frontiers [1065844] Funding Source: National Science Foundation

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Leaf thermoregulation has been documented in a handful of studies, but the generality and origins of this pattern are unclear. We suggest that leaf thermoregulation is widespread in both space and time, and originates from the optimization of leaf traits to maximize leaf carbon gain across and within variable environments. Here we use global data for leaf temperatures, traits and photosynthesis to evaluate predictions from a novel theory of thermoregulation that synthesizes energy budget and carbon economics theories. Our results reveal that variation in leaf temperatures and physiological performance are tightly linked to leaf traits and carbon economics. The theory, parameterized with global averaged leaf traits and microclimate, predicts a moderate level of leaf thermoregulation across a broad air temperature gradient. These predictions are supported by independent data for diverse taxa spanning a global air temperature range of similar to 60 degrees C. Moreover, our theory predicts that net carbon assimilation can be maximized by means of a trade-off between leaf thermal stability and photosynthetic stability. This prediction is supported by globally distributed data for leaf thermal and photosynthetic traits. Our results demonstrate that the temperatures of plant tissues, and not just air, are vital to developing more accurate Earth system models.

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