4.8 Article

Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model

Journal

ECOLOGY LETTERS
Volume 20, Issue 9, Pages 1097-1106

Publisher

WILEY
DOI: 10.1111/ele.12804

Keywords

Carbon optimisation; functional trait; leaf ageing; leaf economics spectrum; leaf longevity; modelling; photosynthesis

Categories

Funding

  1. US Department of Energy Terrestrial Ecosystem Science award [DE-SC0014363]
  2. Andrew W. Mellon Foundation
  3. NSF PIRE [0730305]
  4. NASA Terra-Aqua Science program [NNX11AH24G]
  5. DOE (BER) NGEE-Tropics projects at Brookhaven National Laboratory
  6. U.S. Department of Energy (DOE) [DE-SC0014363] Funding Source: U.S. Department of Energy (DOE)
  7. NASA [144811, NNX11AH24G] Funding Source: Federal RePORTER
  8. Office Of The Director
  9. Office Of Internatl Science &Engineering [0730305] Funding Source: National Science Foundation

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Leaf longevity (LL) varies more than 20-fold in tropical evergreen forests, but it remains unclear how to capture these variations using predictive models. Current theories of LL that are based on carbon optimisation principles are challenging to quantitatively assess because of uncertainty across species in the 'ageing rate:' the rate at which leaf photosynthetic capacity declines with age. Here, we present a meta-analysis of 49 species across temperate and tropical biomes, demonstrating that the ageing rate of photosynthetic capacity is positively correlated with the mass-based carboxylation rate of mature leaves. We assess an improved trait-driven carbon optimality model with in situ LL data for 105 species in two Panamanian forests. We show that our model explains over 40% of the cross-species variation in LL under contrasting light environment. Collectively, our results reveal how variation in LL emerges from carbon optimisation constrained by both leaf structural traits and abiotic environment.

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